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Rivi 33: Rivi 33:




'''1. Enable 1,000 times more capacity'''
==== Enable 1000 times more capacity ====
{{piilotettu | More spectrum, higher spectral efficiency and small cells shall provide up to 1,000 times more
{{piilotettu | More spectrum, higher spectral efficiency and small cells shall provide up to 1,000 times more
capacity in wireless access. Although the industry today has not defined what 5G will look like
capacity in wireless access. Although the industry today has not defined what 5G will look like
Rivi 46: Rivi 46:
New methods and tools are needed for testing the new network functions (development phase) and for verifying the performance of the deployed networks. All functions and parameters are interdependent, and new methods are needed to analyze and find out the overall dependencies and impacts between functions.}}
New methods and tools are needed for testing the new network functions (development phase) and for verifying the performance of the deployed networks. All functions and parameters are interdependent, and new methods are needed to analyze and find out the overall dependencies and impacts between functions.}}


'''2. Reduce latency to milliseconds'''
==== Reduce latency to milliseconds ====
{{piilotettu| In addition to pure network capacity, the user experience of many data applications depends
{{piilotettu| In addition to pure network capacity, the user experience of many data applications depends
on the end-to-end network latency. Advanced audio-visual real-time applications such as
on the end-to-end network latency. Advanced audio-visual real-time applications such as
Rivi 53: Rivi 53:
Also, the network and application level protocols have to be faster and more efficient for enabling higher network performance and better energy efficiency. }}
Also, the network and application level protocols have to be faster and more efficient for enabling higher network performance and better energy efficiency. }}


'''3. Teach networks to be self-aware'''
==== Teach networks to be self-aware ====
{{piilotettu| Today, network operators spend about 15-20% of their total OPEX on operating, managing and optimizing their networks. The introduction of additional radio access technologies, multiple cell layers and diverse backhaul options will increase complexity and risks driving up network OPEX substantially. The application of big data analytics and Artificial Intelligence technologies are needed to create the Cognitive Network that can autonomously handle complex end-to-end network and service management.
{{piilotettu| Today, network operators spend about 15-20% of their total OPEX on operating, managing and optimizing their networks. The introduction of additional radio access technologies, multiple cell layers and diverse backhaul options will increase complexity and risks driving up network OPEX substantially. The application of big data analytics and Artificial Intelligence technologies are needed to create the Cognitive Network that can autonomously handle complex end-to-end network and service management.


Rivi 60: Rivi 60:
The intelligent traffic management is very important when a general communication network is used to connect different kind of industrial internet, machine-to-machine and health-care systems together with heavily varying traffic demands.}}
The intelligent traffic management is very important when a general communication network is used to connect different kind of industrial internet, machine-to-machine and health-care systems together with heavily varying traffic demands.}}


'''4. Personalize the network experience'''
==== Personalize the network experience ====
{{piilotettu| Customer experience management (CEM) has become an industry priority over the last few years. In the future, the capabilities of CEM shall be enhanced substantially when combined with the Cognitive Network approach outlined above. In short, cognitive networks shall dynamically optimize the experience of selected users in response to a changing environment.}}
{{piilotettu| Customer experience management (CEM) has become an industry priority over the last few years. In the future, the capabilities of CEM shall be enhanced substantially when combined with the Cognitive Network approach outlined above. In short, cognitive networks shall dynamically optimize the experience of selected users in response to a changing environment.}}


'''5. Telco Clouds'''
==== Telco Clouds ====
{{piilotettu| Cloud technologies being able to provide computing and storage resource on-demand have brought substantial gains in efficiency and flexibility to the IT industry. Similar gains could be achieved when applying cloud principles to telco networks with virtualization decoupling traditional, vertically-integrated network elements into hardware and software.
{{piilotettu| Cloud technologies being able to provide computing and storage resource on-demand have brought substantial gains in efficiency and flexibility to the IT industry. Similar gains could be achieved when applying cloud principles to telco networks with virtualization decoupling traditional, vertically-integrated network elements into hardware and software.
The migration of network elements in combination with software defined networking (SDN) will transform today’s networks into a fully software defined infrastructure that is both highly efficient and flexible.
The migration of network elements in combination with software defined networking (SDN) will transform today’s networks into a fully software defined infrastructure that is both highly efficient and flexible.
A key research area in the telco clouds is also Security & Privacy. It is not sufficient if the network itself is safe, but at the same time it is used for cheating. The methods have to be developed for the cloud environment to prevent any kind of fraud by the users of networks.}}
A key research area in the telco clouds is also Security & Privacy. It is not sufficient if the network itself is safe, but at the same time it is used for cheating. The methods have to be developed for the cloud environment to prevent any kind of fraud by the users of networks.}}


'''6. Flattening total energy consumption'''
==== Flattening total energy consumption ====
{{piilotettu| In mature markets, energy consumption already accounts for 10-15% of the total network operational costs and may hit 50% in developing markets. The focal point for improving energy efficiency is the radio access, which accounts for around 80% of all mobile network energy consumption. Advanced power amplifier technologies, baseband efficiency and heterogeneous network architecture evolution are the key ingredients for the efficient radio access network of the future.}}
{{piilotettu| In mature markets, energy consumption already accounts for 10-15% of the total network operational costs and may hit 50% in developing markets. The focal point for improving energy efficiency is the radio access, which accounts for around 80% of all mobile network energy consumption. Advanced power amplifier technologies, baseband efficiency and heterogeneous network architecture evolution are the key ingredients for the efficient radio access network of the future.}}


'''7. Requirements for 5G'''
==== Requirements for 5G ====


In the following, the requirements for 5G have been summarized:
In the following, the requirements for 5G have been summarized:
Rivi 92: Rivi 92:
* 5G networks need high capacity and low latency backhaul without a significant increase in cost compared to today’s backhaul.
* 5G networks need high capacity and low latency backhaul without a significant increase in cost compared to today’s backhaul.
* 5G networks will need to be programmable, software driven and managed in an integrated way.}}
* 5G networks will need to be programmable, software driven and managed in an integrated way.}}


===Demos Helsinki suggestions to H2020 WP 2016-2017===
===Demos Helsinki suggestions to H2020 WP 2016-2017===
Rivi 97: Rivi 98:
The core contribution of technology to society is usually the behavior change that new technologies enable. Demos Helsinki proposes
The core contribution of technology to society is usually the behavior change that new technologies enable. Demos Helsinki proposes


1. Retrofitting ICT in cities and buildings to make us behave smarter in smarter environments
==== Retrofitting ICT in cities and buildings for smart living ====
Retrofitting ICT in cities and buildings to make us behave smarter in smarter environments


2. Using ICT to enable preventive and inclusive healthcare and allow autonomy in healthy behavior for everyone.
==== Using ICT to enable preventive and inclusive healthcare ====
Using ICT to enable preventive and inclusive healthcare and allow autonomy in healthy behavior for everyone


3. Building tools and interfaces to enable socially responsible and participatory behavior  
==== Tools and interfaces for socially responsible and participatory behavior ====
Building tools and interfaces to enable socially responsible and participatory behavior


4. Using ICT to support sustainable lifestyles
==== Using ICT to support sustainable lifestyles ====
Using ICT to support sustainable lifestyles


Further, Demos Helsinki proposes ICT intensive futures forecasting to improve resilience in investments, education goals and science projects.
==== ICT intensive futures forecasting ====
ICT intensive futures forecasting to improve resilience in investments, education goals and science projects




=== Qlu Oy: Proposal for a co-operation program to the Horizon 2020 EUI Research and Innovation program ===
=== Qlu Oy: Proposal for a co-operation program to the Horizon 2020 ===
 
==== Teaching environments optimized for HOH students====
 
{{piilotettu|
''Contact'': Juha Nikula, Managing director, Qlu Oy, +358 40 5881138, juha.nikula(at)qlu.fi


'''Program Description'''
'''Program Description'''


The goal for this program is to cost-efficient methods for building teching environments optimized for the needs of hard-of-hearing (HOH) students, but also serving efficiently the needs set by the new network based teaching methods.   
The goal for this program is to cost-efficient methods for building teaching environments optimized for the needs of hard-of-hearing (HOH) students, but also serving efficiently the needs set by the new network based teaching methods.   
The main goal is to make it possible for everybody, also the HOH students, to participate efficiently in the bi-directional discussions in the teaching environment.  This is especially important in learning foreign languages  and also in the discussion based teamwork.
The main goal is to make it possible for everybody, also the HOH students, to participate efficiently in the bi-directional discussions in the teaching environment.  This is especially important in learning foreign languages  and also in the discussion based teamwork.
These environments also have value in business and social life, which also are more and more operating in the network environment.
These environments also have value in business and social life, which also are more and more operating in the network environment.


'''Working group'''
We propose that this program will be executed as a co-operation between our company, Qlu Oy and one or several Finnish communal operators. If seen feasible, the community could be expanded to include one or several communication technology companies and/or academic research groups. }}


'''Working group'''


We propose that this program will be executed as a co-operation between our company, Qlu Oy and one or several finnish communal operators. 
=== Aalto yliopisto suggestions to H2020 WP 2016-2017===
If seen feasible, the community could be expanded toi include one or several communiocation technology companies and/or academic research groups.
 
==== Linked Data ====


''Contact'': Juha Nikula, Managing director, Qlu Oy, +358 40 5881138, juha.nikula(at)qlu.fi
{{piilotettu|


''Contact'': Eero Hyvönen, Aalto yliopisto


=== Aalto yliopisto (Eero Hyvönen): ===
* Linked Data
* Linked Data
* Linked Data quality and re-use
* Linked Data quality and re-use
* Knowledge Discovery in Linked Data
* Knowledge Discovery in Linked Data
* Visualization and exploration of Linked  Data
* Visualization and exploration of Linked  Data
* Semantic knowledge extraction from unstructured data
* Linked Big Data }}
* Linked Big Data


==== Semantic knowledge extraction from unstructured data ====


=== Safety: ===
{{piilotettu|
- There is a lot of SME industry where occupational and industrial safety and safety culture is at lower level than in large enterprises that can invest more to safety related things. One solution could be ICT based systems for risk assessment and risk identification. It is important to bring the safety improving solutions to the practical level in SMEs.


- Reliability, availability, maintainability and safety (RAMS) related issues shall be considered as an essential part of system engineering and as a whole from the beginning of the product design. RAMS related issues are very important in all machines and production systems but especially in paper industry and large manufacturing and production lines. Already now the production systems and machines include distributed control systems and a lot of diagnostics. Such ICT solutions are necessary in the product design that enable an effective RAMS design for products and production systems.
''Contact'': Eero Hyvönen, Aalto yliopisto }}


- Furthermore, internet of things (IoT) is strongly coming  to industrial systems and machines, and this is a feature to be included to the product characteristics. IoT brings a lot of possibilities, but also risks and threats (information security, personal safety, etc.). These threats and measures to tackle these threats should be studied so that severe accidents, relating to both safety and security, can be prevented.
 
=== Safety related topics ===
 
==== ICT based risk assessment and identification ====
 
{{piilotettu|
There is a lot of SME industry where occupational and industrial safety and safety culture is at lower level than in large enterprises that can invest more to safety related things. One solution could be ICT based systems for risk assessment and risk identification. It is important to bring the safety improving solutions to the practical level in SMEs. }}
 
==== RAMS product and production design ====
 
{{piilotettu|
Reliability, availability, maintainability and safety (RAMS) related issues shall be considered as an essential part of system engineering and as a whole from the beginning of the product design. RAMS related issues are very important in all machines and production systems but especially in paper industry and large manufacturing and production lines. Already now the production systems and machines include distributed control systems and a lot of diagnostics. Such ICT solutions are necessary in the product design that enable an effective RAMS design for products and production systems. }}
 
==== IoT, safety and risk management in industrial systems ====
 
{{piilotettu|
Furthermore, internet of things (IoT) is strongly coming  to industrial systems and machines, and this is a feature to be included to the product characteristics. IoT brings a lot of possibilities, but also risks and threats (information security, personal safety, etc.). These threats and measures to tackle these threats should be studied so that severe accidents, relating to both safety and security, can be prevented. }}




=== Future network and device evolution ===
=== Future network and device evolution ===
University of Oulu / Markku Juntti


1. Improved access networks and enabling technologies for better energy and spectral efficiency as well as design and operation flexibility. Including software defined radios and networks.
==== Improved access networks and enabling technologies====
- Ultradense networks
 
- Distributed antenna systems
{{piilotettu|
- Cloud processing
''Contact'': Markku Juntti, University of Oulu
 
Improved access networks and enabling technologies for better energy and spectral efficiency as well as design and operation flexibility. Including software defined radios and networks.
* Ultradense networks
* Distributed antenna systems
* Cloud processing }}
 
==== End-to-end optimization of wireless networks ====
 
{{piilotettu|
''Contact'': Markku Juntti, University of Oulu
 
End-to-end optimization of wireless networks and connections for internet of connected objects and industrial internet to enable efficient use and support for big data applications over wireless connections.
* Big data over wireless
* Application driven connection optimization }}
 
==== Device and antenna technologies based on new materials ====


2. End-to-end optimization of wireless networks and connections for internet of connected objects and industrial internet to enable efficient use and support for big data applications over wireless connections.
{{piilotettu|
- Big data over wireless
''Contact'': Markku Juntti, University of Oulu
- Application driven connection optimization


3. Device and antenna technologies based on new materials: multimode and reconfigurable antenna technologies.
Device and antenna technologies based on new materials: multimode and reconfigurable antenna technologies.
- New materials
* New materials
- New antenna solutions
* New antenna solutions }}




=== LVM/LPO interest groups/ Tulevaisuuskatsaus ===
=== Ministry of Transport and Communications suggestions to H2020 work programs ===


'''Digitalisaatio'''
==== Digitalization, socio-economic and evidence based decision-making ====


{{piilotettu|
Teema liittyy laaja-alaisesti koko yhteiskunnan rakenteeseen, toimintaan ja kehitykseen. Teemassa ei rajoituta pelkkään digitaaliseen tekniikkaan ja raaka-dataan liittyvään problematiikkaan, vaan huomiota tulee kiinnittää myös sosiaalisten vaikutusten ja tiedonjalostusketjun toimintamalleihin liittyviin aiheisiin. Digitaalisen yhteiskunnan kehittäminen vaatii tiivistä julkisen ja yksityisen sektorin välistä yhteistyötä. Tältä osin haasteena on määrittää julkisen ja yksityisen sektorin roolit, tehtävät ja vastuut kehittämisen eri vaiheissa. Tarkoituksena on luoda pohja digitaalisuuden edellyttämälle paradigman muutokselle. Digitalisoituneessa yhteiskunnassa data sekä siitä analytiikan avulla luotu tieto ja siihen perustuva päätöksenteko ovat keskeisiä lisäarvoa luovia tekijöitä. Tieto luo perustan innovaatioille, uudelle liiketoiminnalle sekä hallinnon rakenteiden uudistamiselle, joilla vastataan murroksessa olevan toimintaympäristön haasteisiin ja otetaan haltuun sen tarjoamat mahdollisuudet. Digitaalisen talouden kasvu edellyttää, että digitaalisten palveluiden turvallisuus kyetään takaamaan. Digitalisaation kehittämiseen liittyy automaation vaikutusten arviointi, sosioekonomiset vaikutukset, ennakointi ja järjestelmien testaus.
Teema liittyy laaja-alaisesti koko yhteiskunnan rakenteeseen, toimintaan ja kehitykseen. Teemassa ei rajoituta pelkkään digitaaliseen tekniikkaan ja raaka-dataan liittyvään problematiikkaan, vaan huomiota tulee kiinnittää myös sosiaalisten vaikutusten ja tiedonjalostusketjun toimintamalleihin liittyviin aiheisiin. Digitaalisen yhteiskunnan kehittäminen vaatii tiivistä julkisen ja yksityisen sektorin välistä yhteistyötä. Tältä osin haasteena on määrittää julkisen ja yksityisen sektorin roolit, tehtävät ja vastuut kehittämisen eri vaiheissa. Tarkoituksena on luoda pohja digitaalisuuden edellyttämälle paradigman muutokselle. Digitalisoituneessa yhteiskunnassa data sekä siitä analytiikan avulla luotu tieto ja siihen perustuva päätöksenteko ovat keskeisiä lisäarvoa luovia tekijöitä. Tieto luo perustan innovaatioille, uudelle liiketoiminnalle sekä hallinnon rakenteiden uudistamiselle, joilla vastataan murroksessa olevan toimintaympäristön haasteisiin ja otetaan haltuun sen tarjoamat mahdollisuudet. Digitaalisen talouden kasvu edellyttää, että digitaalisten palveluiden turvallisuus kyetään takaamaan. Digitalisaation kehittämiseen liittyy automaation vaikutusten arviointi, sosioekonomiset vaikutukset, ennakointi ja järjestelmien testaus.


”Kaiken internet, internet of everything” ja Internet of Things ja sen hyödyntäminen liikenteessä on vahvasti mukana tulevaisuudessa.
”Kaiken internet, internet of everything” ja Internet of Things ja sen hyödyntäminen liikenteessä on vahvasti mukana tulevaisuudessa. }}


==== Maritime transport and industries ====


{{piilotettu|
'''Meriliikenne ja –teollisuus:'''
'''Meriliikenne ja –teollisuus:'''


Rivi 175: Rivi 221:
* miehittämättömättömät ratkaisut
* miehittämättömättömät ratkaisut
* yritykset haluaisivat kehittää EU –projekteissa erityisesti tuotantoon (esim. robotiikka) ja tuotannonohjaukseen liittyviä innovaatioita
* yritykset haluaisivat kehittää EU –projekteissa erityisesti tuotantoon (esim. robotiikka) ja tuotannonohjaukseen liittyviä innovaatioita
* Tiedon laajempaa hyödyntämistä ja älyliikenteen edistämistä mm. meriliikenteen turvallisuuden parantamiseksi
* Tiedon laajempaa hyödyntämistä ja älyliikenteen edistämistä mm. meriliikenteen turvallisuuden parantamiseksi  




'''Maritime, Waterborne:'''
'''Maritime, Waterborne:'''
* automated time based emission measuring and reporting from process industry manu-facturing processes and impacts to greenhouse gas emissions to help to direct the pro-duction to be more eco-efficient   
* automated time based emission measuring and reporting from process industry manu-facturing processes and impacts to greenhouse gas emissions to help to direct the pro-duction to be more eco-efficient   
* 4D/5D real time video virtualisation in maritime spatial planning and to prevent disasters in sensitive areas and also to help estimate and forecast how the spills would behave in case of different climate conditions, connections to other databases
* 4D/5D real time video virtualisation in maritime spatial planning and to prevent disasters in sensitive areas and also to help estimate and forecast how the spills would behave in case of different climate conditions, connections to other databases
Rivi 192: Rivi 237:
* New pay per use business model for robot systems
* New pay per use business model for robot systems
* Big data analyzis of robot systems
* Big data analyzis of robot systems
* Robotics in house building
* Robotics in house building }}


==== Aviation ====


'''Ilmailu:'''
{{piilotettu|
 
'''Ilmailu'''
* miehittämätön ilmailu Unmanned Aerial Vehicles
* miehittämätön ilmailu Unmanned Aerial Vehicles
* digitalisaatio on keskeinen osa miehittämättömän ilmailun kehitystä
* digitalisaatio on keskeinen osa miehittämättömän ilmailun kehitystä
Rivi 201: Rivi 249:
* Sähköinen automaattitraktori voisi vetää koneen portilta kiitoradalle
* Sähköinen automaattitraktori voisi vetää koneen portilta kiitoradalle
* SESAR –ohjelma sisältää paljon digitalisaatiota, tiedon hyödyntämistä ja automatisaatiota. Esim lentokentän liikennevirtojen ohjailu, häiriötilanteet (tuhkapilvet, lumisateet ym).
* SESAR –ohjelma sisältää paljon digitalisaatiota, tiedon hyödyntämistä ja automatisaatiota. Esim lentokentän liikennevirtojen ohjailu, häiriötilanteet (tuhkapilvet, lumisateet ym).
* Vaisala on kehittänyt lentokoneiden jäänestoon säästä riippuvan suoja-ajan laskentajär-jestelmän (Hold Over Time).
* Vaisala on kehittänyt lentokoneiden jäänestoon säästä riippuvan suoja-ajan laskentajär-jestelmän (Hold Over Time) }}
 


=== Miniature smart devices for detection of Atrial Fibrillation ===
=== Miniature smart devices for detection of Atrial Fibrillation ===


Tuomas Valtonen, Tero Koivisto
{{piilotettu |
 
''Contact'': Tuomas Valtonen, Tero Koivisto,  Technology Research Center, Brahea Center, University of Turku
Technology Research Center, Brahea Center, University of Turku


Atrial fibrillation (AF) is a very common cardiac anomaly, present in approximately 2% of all people, i.e. in approximately 140 million people globally. The condition becomes even more commonplace from the age of 65 – approximately five percent of all 70 year-old persons and more than 10% of all persons 85 years or older suffer from AF.
Atrial fibrillation (AF) is a very common cardiac anomaly, present in approximately 2% of all people, i.e. in approximately 140 million people globally. The condition becomes even more commonplace from the age of 65 – approximately five percent of all 70 year-old persons and more than 10% of all persons 85 years or older suffer from AF.
Rivi 220: Rivi 266:
Detection of silent AF is a major challenge, as its symptoms may be sporadic and thus absent during medical check-ups: for example, in one study the median time for detection of AF was 84 days. Via long-term monitoring, e.g. with a duration of several weeks, it would also be possible to detect silent AF. By means of wide-scale screening of risk groups, e.g. persons older than 65 years, we would not only spare lives, but also enhance quality of life and achieve significant economical savings.
Detection of silent AF is a major challenge, as its symptoms may be sporadic and thus absent during medical check-ups: for example, in one study the median time for detection of AF was 84 days. Via long-term monitoring, e.g. with a duration of several weeks, it would also be possible to detect silent AF. By means of wide-scale screening of risk groups, e.g. persons older than 65 years, we would not only spare lives, but also enhance quality of life and achieve significant economical savings.


In order to detect AF, there is a growing need for a miniaturised smart devices which can be conveniently worn during long time periods, possibly lasting up to a year. The development of novel detection techniques will serve as an important building block in a smart system for tracking the progression from silent AF to permanent AF. Today’s knowledge of this type of progression is scarce at best, the main reason being the lack of suitable recording technology. A solution to this problem could have major impact on future healthcare as AF is the most common sustained arrhythmia in clinical practice, all too often leading to a stroke.
In order to detect AF, there is a growing need for a miniaturised smart devices which can be conveniently worn during long time periods, possibly lasting up to a year. The development of novel detection techniques will serve as an important building block in a smart system for tracking the progression from silent AF to permanent AF. Today’s knowledge of this type of progression is scarce at best, the main reason being the lack of suitable recording technology. A solution to this problem could have major impact on future healthcare as AF is the most common sustained arrhythmia in clinical practice, all too often leading to a stroke. }}


=== Aalto ARTS, Media Lab, Arki ===
=== Aalto ARTS suggenstions to H2020 work programs ===
''Kari-Hans Kommonen''
 
==== Strong Alternative Scenarios for Research Funding ====
 
{{piilotettu |
''Contact:'' Kari-Hans Kommonen, Media Lab, Arki


==== Strong Alternative Scenarios ====
In the EU, research funding is typically based on strongly programmed research calls, which are based on commonly accepted doctrines and assumptions concerning the development of society, technology and economy. This leads to systemic rejection of visions that diverge from these fundamental doctrines as a viable basis for research, and leads to a lack of diversity that seriously hampers the possibilities of Europe to generate viable alternatives to prevailing understandings and to develop truly innovative initiatives.
In the EU, research funding is typically based on strongly programmed research calls, which are based on commonly accepted doctrines and assumptions concerning the development of society, technology and economy. This leads to systemic rejection of visions that diverge from these fundamental doctrines as a viable basis for research, and leads to a lack of diversity that seriously hampers the possibilities of Europe to generate viable alternatives to prevailing understandings and to develop truly innovative initiatives.


In future EU research programmes there would be thus a great need to strengthen radically the opportunities for new openings that diverge from the preprogrammed visions, and also make sure that the demands for consortia and project forms do not discriminate against insightful seeds of change.
In future EU research programmes there would be thus a great need to strengthen radically the opportunities for new openings that diverge from the preprogrammed visions, and also make sure that the demands for consortia and project forms do not discriminate against insightful seeds of change. }}


==== Open Intellectual Property ====
==== Open Intellectual Property ====
In order for the R&D in Europe to benefit all citizens, communities and enterprises as opposed to be buried in the vaults of R&D labs and proprietary monopoly products, EU R&D funding should be only directed to support work that produces openly published and freely available and modifiable (open source) results.


{{piilotettu |
''Contact:'' Kari-Hans Kommonen, Media Lab, Arki
In order for the R&D in Europe to benefit all citizens, communities and enterprises as opposed to be buried in the vaults of R&D labs and proprietary monopoly products, EU R&D funding should be only directed to support work that produces openly published and freely available and modifiable (open source) results. }}


=== Aalto University, suggested topics ===
=== Aalto University, suggested topics ===
Rivi 239: Rivi 291:




'''1. Web of Building Data - dynamics, quality and security'''
==== Web of Building Data - dynamics, quality and security ====


{{piilotettu|
{{piilotettu|
Rivi 253: Rivi 305:




'''2. Personalized diagnostics and care though big data analytics'''
==== Personalized diagnostics and care though big data analytics ====


{{piilotettu|
{{piilotettu|
Rivi 263: Rivi 315:




'''3. Computational Synthetic Biology for Sustainable Bioeconomy'''
==== Computational Synthetic Biology for Sustainable Bioeconomy ====


{{piilotettu|
{{piilotettu|
Rivi 273: Rivi 325:


   
   
'''4. Future cognitive transport protocols'''
==== Future cognitive transport protocols ====


{{piilotettu|
{{piilotettu|
Rivi 283: Rivi 335:




'''5. Proactive security'''
==== Proactive security ====


{{piilotettu|
{{piilotettu|
Rivi 295: Rivi 347:




'''6. Security of software defined networking'''
==== Security of software defined networking ====


{{piilotettu|
{{piilotettu|
Rivi 309: Rivi 361:
   
   


'''7. Securing software-defined networks'''
==== Securing software-defined networks ====


{{piilotettu|
{{piilotettu|
Rivi 321: Rivi 373:




'''8. Security for billions of ubiquitous and embedded devices'''
==== Security for billions of ubiquitous and embedded devices ====
   
   
{{piilotettu|
{{piilotettu|
Rivi 331: Rivi 383:




'''9. Personalized learning environments for learning computational thinking online'''
==== Personalized learning environments for learning computational thinking online ====


{{piilotettu|
{{piilotettu|
Rivi 349: Rivi 401:




'''10. Beyond search - new intelligent interfaces to information'''
==== Beyond search - new intelligent interfaces to information ====


{{piilotettu|
{{piilotettu|
Rivi 359: Rivi 411:




'''11. Smart cities: analysis of hetereogeneous and continuous streams of data'''
==== Smart cities: analysis of hetereogeneous and continuous streams of data ====


{{piilotettu|
{{piilotettu|
Rivi 369: Rivi 421:


   
   
'''12. Social media: Analysis of social media streams'''
==== Social media: Analysis of social media streams ====


{{piilotettu|
{{piilotettu|
Rivi 379: Rivi 431:




'''13. Health and well-being: Develop data-driven approaches to improve health and well-being'''
==== Health and well-being: Develop data-driven approaches to improve health and well-being ====


{{piilotettu|
{{piilotettu|
Rivi 389: Rivi 441:




'''14. Algorithmic challenges in big-data analysis'''
==== Algorithmic challenges in big-data analysis ====


{{piilotettu|
{{piilotettu|
Rivi 399: Rivi 451:


   
   
'''15. Power over Ethernet'''
==== Power over Ethernet ====


{{piilotettu|
{{piilotettu|
Rivi 409: Rivi 461:




'''16. Wireless Systems Big Data'''
==== Wireless Systems Big Data ====


{{piilotettu|
{{piilotettu|
Rivi 419: Rivi 471:


   
   
'''17. Censorship-resistant communications'''
==== Censorship-resistant communications ====


{{piilotettu|
{{piilotettu|
Rivi 429: Rivi 481:




'''18. Internet Trust'''
==== Internet Trust ====


{{piilotettu|
{{piilotettu|
Rivi 443: Rivi 495:




'''19. Distributed and Mobile Cloud Systems for Service Innovation'''
==== Distributed and Mobile Cloud Systems for Service Innovation ====


{{piilotettu|
{{piilotettu|
Rivi 455: Rivi 507:


   
   
'''20. Quantum nanoelectronics'''
==== Quantum nanoelectronics ====


{{piilotettu|
{{piilotettu|
Rivi 468: Rivi 520:




'''21. Internet Trust'''
==== Internet Trust ====


{{piilotettu|
{{piilotettu|
Rivi 496: Rivi 548:




'''22. Motivating physical exercise with digital games and augmentation'''
==== Motivating physical exercise with digital games and augmentation ====


{{piilotettu|
{{piilotettu|
Rivi 508: Rivi 560:




'''23. Real-time Biomechanics Simulation'''
==== Real-time Biomechanics Simulation ====


{{piilotettu|
{{piilotettu|
Rivi 520: Rivi 572:




'''24. Parallel programming models for ubiquitous services'''
==== Parallel programming models for ubiquitous services ====


{{piilotettu|
{{piilotettu|
Rivi 534: Rivi 586:


Our research hypothesis is that combining the recent advances in compiler technology (such as thread-based optimizations) and runtime technology (such as dynamisms and virtualization in GPGPU platforms) with the modern web-related programming frameworks (as demonstrated by WebGL and Web sensor technology) will yield programming models and tools suitable for the future needs. }}
Our research hypothesis is that combining the recent advances in compiler technology (such as thread-based optimizations) and runtime technology (such as dynamisms and virtualization in GPGPU platforms) with the modern web-related programming frameworks (as demonstrated by WebGL and Web sensor technology) will yield programming models and tools suitable for the future needs. }}
=== VTT contribution to H2020 Work Programme 2016-2017 ===
'''A) Business and application driven topics'''




=== VTT contribution to H2020 Work Programme 2016-2017 ===


'''A) Business and application driven topics''
==== Industial internet and productivity ====


1) Industial internet and productivity
{{piilotettu|
Solutions for internationally competitive Finnish core industries like  forest industry, metal industry, building, oil refining, machine industry, business services and electric equipment:
Solutions for internationally competitive Finnish core industries like  forest industry, metal industry, building, oil refining, machine industry, business services and electric equipment:
- Industrial measurements
* Industrial measurements
- Global asset management
* Global asset management
- Industrial internet
* Industrial internet }}
 
==== Technologies and services for hyper connected society ====


2) Technologies and services for hyper connected society
{{piilotettu|
Critical infrastructures, including transportation, energy, or buildings will be increasingly connected via information systems.. Hyper connectivity builds from sensoring via service architectures to understanding big data and eventually to utilizing diverse knowledge of human activity in digital society.
Critical infrastructures, including transportation, energy, or buildings will be increasingly connected via information systems.. Hyper connectivity builds from sensoring via service architectures to understanding big data and eventually to utilizing diverse knowledge of human activity in digital society.
- Smart infrastructure (cities, buildings, smart lighting, smart grids, …)
* Smart infrastructure (cities, buildings, smart lighting, smart grids, …)
- New digital services for society  
* New digital services for society }}
 
==== Personalised Health Solutions ====
 
{{piilotettu|
* Personalised digital health services
* Big (Health) data analytics and decision support
* Wearable sensors and systems for wellness applications
* Technologies for point-of-care diagnostics and self-tests }}
 


3) Personalised Health Solutions
- Personalised digital health services
- Big (Health) data analytics and decision support
- Wearable sensors and systems for wellness applications
- Technologies for point-of-care diagnostics and self-tests


'''B) Enabling technologies '''
'''B) Enabling technologies '''


1) Micro, nano, and quantum technologies: Silicon microsystems, novel materials, advanced manufacturing and integration, novel sensors and systems, bio-interfacing, disruptive innovations by utilization of quantum mechanical effects, new era of computation power, data security


2) Functional printing (Thin Organic and Large Area Electronics  - TOLAE): Printed and hybrid sensors and systems for healthcare, buildings and environment;  autonomous sensor systems utilizing energy scavenging, energy storage, local signal processing and wireless data connection technologies; printed biosensors; Flexible and wearable solutions.


3) High performance sensing for industry, science, and society; Advanced measurement principles, devices and systems based on based on photonics /electromagnetics and biosensing; Development of measurement instruments and sensors; Miniature and mobile/portable solutions.  
==== Micro, nano and quantum technologies ====
 
{{piilotettu|
Micro, nano, and quantum technologies: Silicon microsystems, novel materials, advanced manufacturing and integration, novel sensors and systems, bio-interfacing, disruptive innovations by utilization of quantum mechanical effects, new era of computation power, data security. }}
 
==== Functional printing ====
 
{{piilotettu|
Functional printing (Thin Organic and Large Area Electronics  - TOLAE): Printed and hybrid sensors and systems for healthcare, buildings and environment; autonomous sensor systems utilizing energy scavenging, energy storage, local signal processing and wireless data connection technologies; printed biosensors; Flexible and wearable solutions. }}


4) Future communications: 5G (radio access, network management, multimodal), optical connectivity components, sensor networks, Internet of things connectivity; Cloud technologies
==== High performance sensing ====


5) Cyber security and privacy: Solutions providing prediction, situation awareness and resiliency against threaths. Solutions for data access and privacy. Security from silicon to cloud. Solutions for industry, business and society.
{{piilotettu|
High performance sensing for industry, science, and society; Advanced measurement principles, devices and systems based on based on photonics /electromagnetics and biosensing; Development of measurement instruments and sensors; Miniature and mobile/portable solutions. }}
 
==== Future communications: 5G ====
 
{{piilotettu|
Future communications: 5G (radio access, network management, multimodal), optical connectivity components, sensor networks, Internet of things connectivity; Cloud technologies. }}
 
==== Cyber security and privacy ====
 
{{piilotettu|
Cyber security and privacy: Solutions providing prediction, situation awareness and resiliency against threaths. Solutions for data access and privacy. Security from silicon to cloud. Solutions for industry, business and society. }}


6) Data science and analytics: Methodologies and applications of data mining, data analysis, and decision making support for services in industries, health, and business. Cloud  technologies and architectures.
==== Data science and analytics ====


{{piilotettu|
Data science and analytics: Methodologies and applications of data mining, data analysis, and decision making support for services in industries, health, and business. Cloud  technologies and architectures. }}


== Priorisointiperiaatteet ==
== Priorisointiperiaatteet ==


Koordinaatioryhmä määrittää yhteistyössä osallistujien kanssa, kuinka aihe-ehdotukset asetetaan tärkeysjärjestykseen. Koordinaatioryhmän muodostaa H2020-ohjelman virallisen ICT-komitean asiantuntijaryhmä, jossa on edustajat Tekesistä, Suomen Akatemiasta, LVM:stä ja STM:stä.
Koordinaatioryhmä määrittää yhteistyössä osallistujien kanssa, kuinka aihe-ehdotukset ryhmitellään laajemmiksi kokonaisuuksiksi. Koordinaatioryhmän muodostaa H2020-ohjelman virallisen ICT-komitean asiantuntijaryhmä, jossa on edustajat Tekesistä, Suomen Akatemiasta, LVM:stä ja STM:stä. Joukkoistetut lobbaustavoite-ehdotukset Horizon 2020-ohjelman vuosille 2016-2017 alustavaan apilamalliin jäsenneltynä löytyvät alta listattuina. Huom! Mikäli jaottelu ja ehdotettu ylätason otsikkojaottelu on osallistujien mielestä epätyydyttävä, voi vaihtoehtoisia ehdotuksia kirjata alle.
 
'''Huom! Ao. listojen numerointijärjestys ei tarkoita priorisointijärjestystä, vaan tarkoituksena on vain ryhmitellä ehdotukset aihepiireittäin!'''
 
 
'''Arctic'''
 
# Fully automated airports
# Harbour time optimization at ship loading and unloading
# Package handling automatization
# Traficflow calibration and automation
# Unmanned Aerial Vehicle networks
 
 
'''Bioeconomy'''
 
# Computational Synthetic Biology for Sustainable Bioeconomy: Algorithms, modelling and simulations
# Functional printing (Thin Organic and Large Area Electronics - TOLAE)
# High performance sensing for industry, science, and society
# Reaction libraries 
# Real-time Biomechanics Simulation 
 
 
'''Cleantech'''
 
# 4D/5D real time video virtualisation in maritime spatial planning and to prevent disasters in sensitive areas and also to help estimate and forecast how the spills would behave in case of different climate conditions, connections to other databases
# 4D/5D video virtualisation in developing the logistics corridors in container and other freight transportation cases, how the heavy trucks impact on the roads and how the sea-port-inland port transport corridors should be developed and organised to lower the CO2 and other emissions
# Applying Big Data an IoT in Maritime
# Automated time based emission measuring and reporting from industry manu-facturing processes and impacts to greenhouse gas emissions
# Builging Information Modelling (BIM) and life cycle services
# Energy saving robotics
# Independently moving and working robots at warehouses
# Maritime safety via realtime analysis
# Micro-, nano-, and quantum technologies R&D
# Quantum nanoelectronics
# Robotics
# Unmanned solutions
 
 
'''Digital Economy and Services'''
 
 
 
# Anonymisation of Wireless Systems Big Data, processing extreme large amount of  Wireless Systems Big Data  data, finding balance betweenlocal processing of Wireless Systems Big Data and transport of Wireless Systems Big Data  etc.
# Answering to 5G challenges
# Answering to algorithmic challenges in big-data analysis
# Augmented reality user interfaces, modelling engines and rendering farms
# Beyond search - new intelligent interfaces to information
# Big data analyzis of robot systems
# Censorship-resistant communications
# Cost management reporting systems utilising big data and cloud databases
# Cutting costs and emissions by flattening total energy consumption of networks
# Cyber security and privacy: Solutions providing prediction, situation awareness and resiliency against threaths. Solutions for data access and privacy. Security from silicon to cloud. Solutions for industry, business and society.
# Data science and analytics: Methodologies and applications of data mining, data analysis, and decision making support for services in industries, health, and business. Cloud technologies and architectures 
# Digital content production network funding models
# Distributed and Mobile Cloud Systems for Service Innovation 
# Fill rate optimization in global transportation of goods
# Fraud and cheat testing in the face of Internet evolution
# Future cognitive transport protocols that can adapt to dynamic changes in network performance and availability
# Future communications: 5G (radio access, network management, multimodal), optical connectivity components, sensor networks, Internet of things connectivity; Cloud technologies 
# ICT intensive futures forecasting to improve resilience in investments, education goals and science projects
# Industrial Internet and productivity Solutions for internationally competitive Finnish core industries
# Internet of things (IoT) troubleshooting
# Internent of Trust - components of the solution include: firewalls, intrusion detection, reputation management systems applied into all communications over the Internet
# Knowledge Discovery in Linked Data
# Linked big and open data
# Linked Data quality and re-use
# More spectrum, higher spectral efficiency and small cells shall provide up to 1,000 times more capacity in wireless access.
# My Data encryption
# New network based teaching methods
# Open Intellectual Property - In order for the R&D in Europe to benefit all citizens, communities and enterprises as opposed to be buried in the vaults of R&D labs and proprietary monopoly products, EU R&D funding should be only directed to support work that produces openly published and freely available and modifiable (open source) results
# Opening data in machine readable form in the Universities and by the public authorities
# Packing and fillrate optimization in every step of the goods from transportation from factory to end customer
# Pay per use business model for robot systems
# Parallel programming models for ubiquitous services
# Personalized learning environments for learning computational thinking online
# Power over Ethernet
# Proactive IT-security strategies and generic SDNs (Software Designed Networks)
# Production management and procedure innovations
# Reduce network latency to milliseconds
# Reliability, availability, maintainability and safety (RAMS) design for products and production systems
# Retrofitting ICT in cities and buildings to make us behave smarter in smarter environments
# Robotics in house building
# Robot utilization at warehouse order picking
# Safety improving solutions to the practical level in SMEs
# Security and reliability of software defined networking
# Security for billions of ubiquitous and embedded devices
# Semantic knowledge extraction from unstructured data
# Smart cities: analysis of hetereogeneous and continuous streams of data
# Strong Alternative Scenarios  - In the EU, research funding is typically based on strongly programmed research calls, which are based on commonly accepted doctrines and assumptions concerning the development of society, technology and economy. This leads to systemic rejection of visions that diverge from these fundamental doctrines as a viable basis for research, and leads to a lack of diversity that seriously hampers the possibilities of Europe to generate viable alternatives to prevailing understandings and to develop truly innovative initiatives. In future EU research programmes there would be thus a great need to strengthen radically the opportunities for new openings that diverge from the preprogrammed visions, and also make sure that the demands for consortia and project forms do not discriminate against insightful seeds of change.
# Teach networks self-awareness and optimatization skills with AI and Big Data
# Technologies and services for hyper connected society Critical infrastructures
# Ubigue and layered cities rendering farms
# User and consumer oriented service design processes
# Visualization and exploration of Linked Data
# Web of Building Data - dynamics, quality and security - the dynamic nature of the data creates needs to manage changes and version histories of the dataset and linksets. Secondly, there are higher coverage and quality requirements for linking: since links are used in real construction workflows or Smart City applications, it is essential that all links have been identified and that there are no incorrect links to confuse the activities. Thirdly, the need to control the access to published datasets creates security-related research topics.
 
 
'''eHealth, mHealth and wellbeing'''
 
# Applications, data mining and miniaturised smart devices for convenient long period health monitoring
# Building tools and interfaces to enable socially responsible and participatory behavior
# Develop data-driven approaches to improve health and well-being
# Personalized diagnostics and care though big data analytics
# Personalised Health Solutions - Personalised digital health services - Big (Health) data analytics and decision support - Wearable sensors and systems for wellness applications - Technologies for point-of-care diagnostics and self-tests 
# Motivating physical exercise with digital games and augmentation
# Using ICT to enable preventive and inclusive healthcare and allow autonomy in healthy behavior for everyone
# Using ICT to support sustainable lifestyles
 
 
 
=== Collected topics for Digital Economy and Services ===
 
'''NB: The numbering of the listed items below does not correspond to the priority ordering!'''
 
 
# [[H2020_V1#Enable_1000_times_more_capacity | Enable 1000 times more capacity]]
# [[H2020_V1#Reduce_latency_to_milliseconds | Reduce latency to milliseconds]]
# [[H2020_V1#Teach_networks_to_be_self-aware | Teach networks to be self-aware]]
# [[H2020_V1#Personalize_the_network_experience | Personalize the network experience]]
# [[H2020_V1#Telco_Clouds | Telco Clouds]]
# [[H2020_V1#Flattening_total_energy_consumption | Flattening total energy consumption]]
# [[H2020_V1#Requirements_for_5G | Requirements for 5G]]
# [[H2020_V1#Retrofitting_ICT_in_cities_and_buildings_for_smart_living | Retrofitting ICT in cities and buildings for smart living]]
# [[H2020_V1#ICT_intensive_futures_forecasting | ICT intensive futures forecasting]]
# [[H2020_V1#Linked_Data | Linked Data]]
# [[H2020_V1#Semantic_knowledge_extraction_from_unstructured_data | Semantic knowledge extraction from unstructured data]]
# [[H2020_V1#ICT_based_risk_assessment_and_identification | ICT based risk assessment and identification]]
# [[H2020_V1#RAMS_product_and_production_design | RAMS product and production design]]
# [[H2020_V1#IoT.2C_safety_and_risk_management_in_industrial_systems | IoT, safety and risk management in industrial systems]]
# [[H2020_V1#Improved_access_networks_and_enabling_technologies | Improved access networks and enabling technologies]]
# [[H2020_V1#End-to-end_optimization_of_wireless_networks | End-to-end optimization of wireless networks]]
# [[H2020_V1#Device_and_antenna_technologies_based_on_new_materials | Device and antenna technologies based on new materials]]
# [[H2020_V1#Digitalization.2C_socio-economic_and_evidence_based_decision-making | Digitalization, socio-economic and evidence based decision-making]]
# [[H2020_V1#Maritime_transport_and_industries | Maritime transport and industries]]
# [[H2020_V1#Aviation | Aviation]]
# [[H2020_V1#Web_of_Building_Data_-_dynamics.2C_quality_and_security | Web of Building Data - dynamics, quality and security]]
# [[H2020_V1#Future_cognitive_transport_protocols | Future cognitive transport protocols]]
# [[H2020_V1#Security_of_software_defined_networking | Security of software defined networking]]
# [[H2020_V1#Security_for_billions_of_ubiquitous_and_embedded_devices | Security for billions of ubiquitous and embedded devices]]
# [[H2020_V1#Personalized_learning_environments_for_learning_computational_thinking_online | Personalized learning environments for learning computational thinking online]]
# [[H2020_V1#Beyond_search_-_new_intelligent_interfaces_to_information | Beyond search - new intelligent interfaces to information]]
# [[H2020_V1#Smart_cities:_analysis_of_hetereogeneous_and_continuous_streams_of_data | Smart cities: analysis of hetereogeneous and continuous streams of data]]
# [[H2020_V1#Social_media:_Analysis_of_social_media_streams | Social media: Analysis of social media streams]]
# [[H2020_V1#Algorithmic_challenges_in_big-data_analysis | Algorithmic challenges in big data analysis]]
# [[H2020_V1#Power_over_Ethernet | Power over Ethernet]]
# [[H2020_V1#Wireless_Systems_Big_Data | Wireless Systems Big Data]]
# [[H2020_V1#Censorship-resistant_communications | Censorship-resistant communications]]
# [[H2020_V1#Internet_Trust | Internet Trust]]
# [[H2020_V1#Parallel_programming_models_for_ubiquitous_services | Parallel programming models for ubiquitous services]]
# [[H2020_V1#Industial_internet_and_productivity | Industial internet and productivity]]
# [[H2020_V1#Technologies_and_services_for_hyper_connected_society | Technologies and services for hyper connected society]]
# [[H2020_V1#Micro.2C_nano_and_quantum_technologies | Micro, nano and quantum technologies]]
# [[H2020_V1#Functional_printing | Functional printing]]
# [[H2020_V1#Future_communications:_5G | Future communications: 5G]]
# [[H2020_V1#Cyber_security_and_privacy | Cyber security and privacy]]
# [[H2020_V1#Data_science_and_analytics | Data science and analytics]]
 
 
==== Summary of cross-cutting themes ====
 
 
Digitaalisuus on läpileikkaava ja nouseva ilmiö niin toimialojen sisällä kuin toimialojen välilläkin. Kilpailukyvyn kannalta on oleellista tunnistaa erityisesti digitaalisaation hyödyntäminen toimialoja yhdistävänä tekijänä. Toimialojen väliseen rajapintaan muodostetut digitalisaatioon perustuvat palvelukonseptit edesauttavat talouskasvun tukemista ja vientitoiminnan globaalia edistämistä.
 
Digitaalisten palveluinnovaatioiden (MaaS, SaaS, EaaS jne.) tuottaminen edellyttää panostusta sekä mahdollistavien teknologioiden tutkimukseen, palvelukehityksen itsensä tutkimista että lopuksi palvelun tuottamien vaikutusten analysointia. Taustamateriaalista kerättyjä toistuvia teemoja ensimmäisessä luokassa ovat mm. 5G-tekniikat, heterogeenisten verkkojen hallinta ja erilaiset älykaupunki, älyliikenne- yms. sensoriteknologioiden ja IoT:n sovellukset. Toiseen luokkaan kuuluvat sosio-ekonomiset mallit, henkilö-kone rajapinnat ja vuorovaikutus, personoitu palvelumuotoilu yms. Lopuksi kolmanteen, eli digitalisoitumisen vaikutuksien tutkimukselle avattavat haasteet ovat niin syvästi yhteiskunnan toimintaa muuttavia, että niitä ei pidä jättää edellisten kahden luokan tutkimuksen varjoon. Merkittäviä tutkimuskysymyksiä tässä luokassa ovat mm. luottamus internettiin, yksilönsuoja, työn muuntuminen ja energiatarve. Big Data -analytiikka, joka mahdollistaa älykkäiden ohjausjärjestelmien ja älykkään päätöksenteon ja suunnittelun eri organisaatiotasoilla on tärkeä läpileikkaava teema.
 
 
{{piilotettu|
 
'''Some re-occurring points taken from individual abstracts'''
 
* More spectrum, higher spectral efficiency and small cells shall provide up to 1000 times more capacity in wireless access.
* end-to-end network latency. Advanced audio-visual real-time applications such as cloud gaming
*  The application of big data analytics and Artificial Intelligence technologies are needed to create the Cognitive Network that can autonomously handle complex end-to-end network and service management under heterogeenous network access: The intelligent traffic management is very important when a general communication network is used to connect different kind of industrial internet, machine-to-machine and health-care systems together with heavily varying traffic demands.
* optimize the experience of selected users in response to a changing environment.
* The key to improving energy efficiency is the radio access, which accounts for around 80% of all mobile network energy consumption. Advanced power amplifier technologies, baseband efficiency and heterogeneous network architecture evolution are the key ingredients for the efficient radio access network of the future.
* battery life
* Retrofitting ICT for buildings
* Knowledge extraction from Big Data, especially unstructured data
* Reliability, availability, maintainability and safety (RAMS) related issues shall be considered as an essential part of system engineering and as a whole from the beginning of the product design. Product line diagnostics and the challenges brought by the IoT (Internet of Things).
* Improved access networks and enabling technologies for better energy and spectral efficiency
* End-to-end optimization of wireless networks and connections for internet of connected objects and industrial internet to enable efficient use and support for big data applications over wireless connections
* Evidence based decision making, big data analytics and decision making
* automated time based emission measuring and reporting from process industry manufacturing processes and impacts to greenhouse gas emissions to help to direct the production to be more eco-efficient 4D-5D real time video virtualisation in maritime spatial planning, disaster prevention.
*  (Recent advances in the Web of Data technologies)decentralized approach conforms to existing organizations and practices in construction industry, and can be adopted without changes in existing processes in construction projects. Cross-model linking can support inter-enterprise workflows, information aggregation for analyzes and summaries, and advanced change management protocols. It enables the linking of building information models to and from external data sources, and open access to relevant parts of building data over the lifecycle of a building. It has a great potential to foster the evolution of a building-related data and applications within the Smart City ecosystems.
* start designing cognitive transport protocols that can adapt to dynamic changes in network performance and availability; today algorithms are too static to make full use of the available resources.
* Software defined networking (SDN) is a new centralized paradigm for deploying and designing networks. All decisions about packet forwarding are made by a network controller that has full knowledge of the network topology. It provides the network an operating system that makes the network programmable. With this, the network can be centrally managed, and new features can be deployed by just writing new network application on top of the controller. The three main drivers for the adoption of SDN are cloud computing, big data, and mobile computing. According to SDN central report, Software defined networking is expected to grow ten fold in the next few years to approximately $35 billion by 2018. The transition to Software Defined Networking brings with it two major research questions: First, how does the change from distributed networking protocols to centralized network operating system change the security of the system? Does the change bring new vulnerabilities that need to be understood? Second, is it possible to create new security features at the network level that would have been impossible (or next to impossible) with the traditional distributed approach.
* Scalable security architectures and protocols are needed for secure device discovery, for associating the devices securely with online servies, for communicating data and instructions securely, and for updating software and managing the device configuration and ownership over their lifecycle
* Personalized learning environments, and services in general. Other examples: customer-relationships management interfaces, general-purpose interfaces to company databases, as well as personal and public databases such as emails, and interfaces to recommendation engines spreading to most on-line retail and services
* Smart cities and sensors
*  The objective of censorship-resistant communications is to enable communication and content storage/sharing without the reliance on fixed infrastructure. Politically it has two goals: Digital Inclusion, extending the reach of Internet in an affordable way towards human right for everyone and Freedom of Speech, resisting censorship and providing anonymity.
* Enabling technologies }}
 
{{piilotettu|
'''Added from email communication '''
 
* mobile technologies and networks (5G) & applications & open data: Novel mobile technologies, networks and applications need to be further developed into more robust services, also relying on open data, to ensure the functioning and efficiency in the society. Particularly authority and public sector innovations and encouragements to invest and produce such services are foreseen and required. Resilience of these often utmost critical services in case of various crises should be further developed.
* cyber security: Cyber security activities should take into account product development  (e.g. ICT and telecommunication network security solutions), complience between actors,  information management, exercises among actors, legislation changes, education in all levels in society as appropriate, increasing employment, privacy and ethical issues. These activities require a multi-disciplinary approach to address the challenges approrpriately. Societal recilience in case of various cyberthreats and incidents needs to be improved.
* Transport stress point: MaaS
}}
 




Rivi 594: Rivi 876:
* Addressing key novelties and providing genuinely cross-cutting approaches – ensuring the embedding of key novelties such as covering the full research and innovation cycle, social sciences and humanities, gender aspects, climate and sustainable development, etc., and that challenges and areas cutting across different specific objectives and parts of Horizon 2020 are identified and integrated;
* Addressing key novelties and providing genuinely cross-cutting approaches – ensuring the embedding of key novelties such as covering the full research and innovation cycle, social sciences and humanities, gender aspects, climate and sustainable development, etc., and that challenges and areas cutting across different specific objectives and parts of Horizon 2020 are identified and integrated;
* Improving international cooperation – focusing on key strategic and targeted areas of mutual benefit and providing synergies with international initiatives/projects.
* Improving international cooperation – focusing on key strategic and targeted areas of mutual benefit and providing synergies with international initiatives/projects.
== Draft note from the Finnish Ministry of Employment and the Economy - Latest version ==
<center>Draft note from the Finnish Ministry of Employment and the Economy
'''Digitalization and services – new infrastructure for the economy'''
Some rationale and suggestions for H2020</center>
''Digitalization changes the world empowering the customers and end-users. It underlines the role of services and innovative business models and modifies the value chains and networks in all sectors. Value is not created in a vacuum but by constantly interacting with users that through digitalization are enabled to massively co-create and influence on service quality. Digitalization facilitates cross-fertilization of different fields of research and economy, rapid global scaling-up of the business and creation of hyper-scalable services that use big data and cloud as platforms for growth. Europe has largely missed these opportunities so far due to lack of digital single market, declining skills base, ignorance of the growing user and customer power, too rigid grip on existing markets and underinvestment in projects that create disruptive business opportunities. Digital, data-driven, service-oriented innovation must be boosted across all sectors of the economy. Therefore digitalization and services need to be strong cross-cutting themes in all the areas and work programmes in Horizon 2020.''
=== Everything will be digital, networked and global ===
Europe should aim at being the future haven for companies developing digitalized, scalable services. The share of services has grown to 70 to 80 of GDP in advanced economies. Services represent more than two thirds of the FDI projects in Europe, which is not only significant, but almost 50 percent more than a decade ago. Digitalization offers new opportunities for creating innovative services that can be scaled up (or down) according to the needs of the customer at low or no delivery cost. Through the digital representation of the real world created by the internet of things (IoT), this new hyper-scalable business dynamics will become dominant not only in the gaming and internet worlds as in the past, but also in e.g. industrial, automotive, domestic and health businesses. The market fragmentation hampering the innovation take-up and growth should be tackled by completing the digital single market without delay. We have to ensure enough European winners in this game as the winner really takes all the global profits in the business. Intangible assets and capabilities of businesses to efficiently develop and utilize them are opening doors to new capital and business partners. More and more jobs are created in IPR-intensive industries. Europe should aim at being the best home environment for companies, whose revenue models are based on intangible value creation, to orchestrate their global growth and reinvest their profits.
 
=== Digitalization and services will keep manufacturing in Europe ===
Digitalization, new business models, service-oriented thinking and better knowledge management are needed for keeping European manufacturing industry competitive.  To reach its full potential, European industry needs to combine advanced manufacturing with smart services. Service-oriented high-tech companies can add value and open up new opportunities to market growth both for themselves and their customers in complex and dynamic global networks.  European industry now has a golden opportunity to improve its competitiveness by adopting key enabling technologies and using them in creation of hyper-scalable smart services. Digitalization enables value capturing from global value networks to Europe. Developing services that bring together ICT, design, and e.g. cleantech will provide further means for job creation and improving sustainability in practically all industries.
=== Value adding service companies are ignored in European funding ===
Financing growth of service companies is challenging.  Service companies that can create scalable business and help traditional industries to growth path usually experience more difficulties in attracting financing than technology-oriented companies due to their modest financial status and difficulty of valuing their assets. An economy-scale challenge is the polarization of e.g. the business service sector, consisting of large international consulting firms and micro-sized small runner-ups at the end of the scale with the middle market practically empty. Europe should better enable promising companies to grow their share in the new service-dominated value chains.  The financial “asymmetry” and the consequent higher risk levels of development work in these kind of service companies need to be taken into account when choosing priorities for public innovation investments.
=== How to tackle these challenges in Horizon 2020? ===
==== Financing service innovation and innovation processes ====
Horizon 2020 should include pilot cases to provide base for evidence and learning on the transformational power of service innovation. In addition to having specific calls targeting service innovation, the thematic work programmes including SME programme should take it into account, applied and tailored according to the theme and challenge in question. The innovation process in service companies differs from industrial or product-based processes and the latter ones are also increasingly affected by servitization. This servitization of industry, the shift from a product-centered view of markets to a service-led model and the concept of “service-dominant logic” should be reflected in the H2020 work programme content and calls. Innovation processes can be accelerated and higher value-added created by strengthening the user and customer orientation and understanding and by introducing more design, life-cycle and cost-effectiveness thinking, collaborative practices, societal relevance and non-technology-driven initiatives in the calls. There should be more sensitivity to these issues for example when using and interpreting the “technology readiness level” scale.
In hyper-scalable services - that not only are capable of serving many people but work better the more they are - technology maturity is not as important as who captures most users earliest in the life time of a product development. More users for your application means more data and often drives a virtuous cycle of self-reinforcement. This cycle can be described as involving an early "deployment" followed by "engagement" of prospective users leading to "test / feedback" of users – which if positive has a multiplying effect. The ability to instigate users becomes a key performance indicator influencing the investment decisions of VC’s and Business Angels looking for a promising opportunity. This is important in order to bridge the “Valley of Death” often so fatal to many technology-driven companies in Europe. The early market interaction with the users should thus be funded in H2020.
Financing new platforms and pilot environments
In order to make competitive digital and service development possible in Europe, we need to see the threats and opportunities that lie in the infrastructure and platforms, whether physical, technological, virtual or social. Existing markets that are based on old technologies and solutions need to be identified. Europe is in many fronts building new services on an established infrastructure which might in some cases slow down the deployment of new technological platforms or service systems, or the development is too incremental. We need to invest in creating new infrastructures and platforms, where we can experiment, pilot and demonstrate new ways of doing things in a systematic manner and reaching a critical mass of users.  Smart cities, smart transport  and smart manufacturing are example areas of public-private partnership activities, which consist not only from RDI funding but also from other innovation policy actions like financial market and internal market development, cutting red tape for innovative SMEs and creating smart demand, regulations and standards. For example large IoT pilots in different societal challenges in H2020 would create understanding of the needed regulation for the digital service economy. 
==== Financing business model innovations in value networks and clouds ====
It is important to acknowledge in the context of Horizon 2020, that the value chains are changing for many reasons: The shifting balance in the globalizing world economy, technologies and solutions that are developing in a disruptive way, value creation that is increasingly based on intangible assets (whether consequence of digitalization, design, IPRs, marketing or other).  Global value chains are becoming value networks, and in many cases even “value clouds” in digital economy.  At the same time, the line between B-to-B and B-to-C is blurring, and consumers’ and citizens’ role in business ecosystems is growing.  Theme areas where this is evident include smart grids and 3D printing, both expected to create space for disruptive services and business models around the new technologies.
The growth potential of such new areas could be enhanced in funding schemes by bringing all relevant players in the innovation ecosystem together and thus enabling systemic innovation where services play a significant role. Horizon 2020 should encourage European companies to challenge existing value chains, create new business models and be a resilient mover in changing economical and industrial structures. Issues related to how to legally or otherwise protect service innovations are important, difficult and often neglected.  The focus of discussion in protecting intellectual capital has been in patents, but the discussion should be broadened to other types of intangible capital and related strategies. Launching some specific support actions and integrating IP questions and strategies to Horizon 2020 projects from this angle are needed.
==== Financing digitalization of services ====
The digitalization of services concerns both digital services around industrial products and production and digital services developed for upgrading and scaling up traditional services. There are no areas of economy or industry that would not be affected by digitalization and servitization. It offers real win-win solutions: Both the productivity and ecological gains can be huge while the value to customer increases significantly. (According to one study ICT could reduce CO2 emissions by enabling reductions in other sectors up to 15 % of total global emissions by 2020. )
Big data will be the infrastructure for future digitalized services and it should be in focus horizontally in all thematic work programmes. In the industry, the value created in the  “IoT” or “cyber-physical systems” or “industrial internet” is dependent on the ways the data can be analyzed, further programmed and servitized for the benefit of the companies and customers in the value chain. Creating digital service innovations and delivery models such as MaaS (Mobility as a Service), SaaS (Software as a Service) and EaaS (‘Everything as a Service’) requires more focus in enabling technologies, service development and the impact analysis of the servitization. Important research and innovation themes include 5G technologies, controlling heterogeneous networks, smart city applications, smart transport, sensor technologies, robotics and other IoT related technologies.  Another set of priorities is related to understanding the user angle: socio-economic modeling, human-computer interface and interaction, gamification, learning and personalized service design. 
On a third level, the profound impact of digitalization to the society is important to cover: trust, privacy and data protection issues, changing work and energy landscape as well as big data analytics that enables smart governance and decision-making at different levels of organizations and society as well as change in the culture, human behavior and ways of working caused by digitalization of the society. It is important to note that services provided e.g. in social media have changed the financing and business models based on the value of personal data, leading to greater concern for privacy issues, control of data and sharing-economy type of developments. To solve the dilemma of privacy and copyright concerns and huge unlocked business potential of data in the digital era, we need more piloting in data governance mechanisms and structures.
==== Financing better understanding of customer needs ====
In many fields, successful companies are increasingly positioning them as integrators of value chains and networks. The value is created more and more with the customer, whether supplier or end-user.  Competitive new European products and services will require deep insight of consumer’
behaviour, including their purchase and consumption patterns.  In this “Age of Customer”, gathering those insights through projects that focus on digitalization, design and services is essential.
We need to ensure that Horizon2020 offers sufficient opportunities for projects that aim to increase knowledge base on global consumers and customers in different fields of European flagship industries and unlock the innovation opportunities arising from that. Also, in the user-centered service economy the nature of work has changed. That requires new customer-oriented leadership and participation skills. This could be a fruitful theme to look deeper across the value networks both in European and global context.


== Viestinvälitys EU:n organisaatioissa ==
== Viestinvälitys EU:n organisaatioissa ==
Rivi 602: Rivi 951:
* TEM
* TEM
* CONNECT ADVISORY FORUM FOR ICT RESEARCH AND INNOVATION" (CAF), http://ec.europa.eu/digital-agenda/en/research-advisors
* CONNECT ADVISORY FORUM FOR ICT RESEARCH AND INNOVATION" (CAF), http://ec.europa.eu/digital-agenda/en/research-advisors


== Kommentoi kirjautumatta ==
== Kommentoi kirjautumatta ==


{{kommentointityökalu|Op_fi4230}}
{{kommentointityökalu|Op_fi4230}}


==Katso myös==
==Katso myös==


* [[:op_en:Horizon 2020]]
* [[:op_en:Horizon 2020]]
* Draft EU Programmes for Horizon 2020
** [http://ec.europa.eu/research/horizon2020/pdf/work-programmes/science_with_and_for_society_draft_work_programme.pdf#view=fit&pagemode=none Science with and for society]
** [http://ec.europa.eu/research/horizon2020/pdf/work-programmes/health_draft_work_programme.pdf#view=fit&pagemode=none Health, demographic change and wellbeing]
** [http://ec.europa.eu/research/horizon2020/pdf/proposals/horizon_2020_impact_assessment_report_executive_summary.pdf#view=fit&pagemode=none Executive summary of the impact assessment]
** [http://ec.europa.eu/research/horizon2020/pdf/work-programmes/food_draft_work_programme.pdf#view=fit&pagemode=none Food safety, sustainable agriculture and waters]

Nykyinen versio 18. elokuuta 2014 kello 13.53



Johdanto

Horizon2020-puiteohjelma käynnistyi vuoden 2014 alussa. Ohjelmakomiteoiden työohjelmat vuosille 2014-2015 on julkaistu, ja ensimmäiset H2020-haut ovat jo sulkeutuneet. Vuosien 2014-2015 tulevat haut ovat jo selvillä, ja niiden sisältöön ei enää pysty vaikuttamaan. EU-komissiossa valmistellaan kuitenkin jo vuosien 2016-2017 työohjelmia. Niiden sisältöön vaikuttamisen aika on nyt! Tulevien työohjelmien hakuihin pitää saada aiheita, jotka kiinnostavat suomalaisia hakijoita ja joiden hauissa suomalaisilla hakijoilla on mahdollisuus menestyä. Tällä sivustolla kerätään suomalaisten osallistujien aiheidoita Horizon2020-ohjelman ICT-työohjelmaan 2016-2017.

Tämä sivusto on julkinen eli sitä pystyy kuka tahansa lukemaan. Kommentointia varten pitää rekisteröityä.


Yhteyshenkilöt: Katja Ahola (Tekes), Sami Majaniemi (LVM), Marko Heikkinen (Tekes), Juha Latikka (Suomen Akatemia), Elina Holmberg (Tekes), Hannu Hämäläinen (STM) ja Jouko Hautamäki (Tekes)


Virallinen kommentointiaika: 6.5.2014 - 28.5.2014.

Kontaktoitavat tahot

  1. Yritykset
  2. Tutkimuslaitokset
  3. Yliopistot
  4. Muut tahot

Tutkimusaiheet / Research topics

Tähän kohtaan toivomme erityisesti aihe-ehdotuksia ja kommentteja. Kirjoitathan tekstin mielellään englanniksi.

Mitä aihepiirejä halutaan saada aukaistua tuleviin H2020 ICT-hakuihin? Voidaanko/kannattaako samalla tehdä avointa ennakointityötä sen suhteen mitä Suomessa pitää lähitulevaisuudessa tutkia/opettaa?


NOKIA’s (Networks) contribution to H2020 Work Programme 2016-2017

From Nokia’s (Networks) perspectives, new research is needed on the following Mobile Broadband key development areas (Note: the summary or the 5G requirements have been listed after these development areas):


Enable 1000 times more capacity


Reduce latency to milliseconds


Teach networks to be self-aware


Personalize the network experience


Telco Clouds


Flattening total energy consumption


Requirements for 5G

In the following, the requirements for 5G have been summarized:


Demos Helsinki suggestions to H2020 WP 2016-2017

The core contribution of technology to society is usually the behavior change that new technologies enable. Demos Helsinki proposes

Retrofitting ICT in cities and buildings for smart living

Retrofitting ICT in cities and buildings to make us behave smarter in smarter environments

Using ICT to enable preventive and inclusive healthcare

Using ICT to enable preventive and inclusive healthcare and allow autonomy in healthy behavior for everyone

Tools and interfaces for socially responsible and participatory behavior

Building tools and interfaces to enable socially responsible and participatory behavior

Using ICT to support sustainable lifestyles

Using ICT to support sustainable lifestyles

ICT intensive futures forecasting

ICT intensive futures forecasting to improve resilience in investments, education goals and science projects


Qlu Oy: Proposal for a co-operation program to the Horizon 2020

Teaching environments optimized for HOH students


Aalto yliopisto suggestions to H2020 WP 2016-2017

Linked Data


Semantic knowledge extraction from unstructured data


Safety related topics

ICT based risk assessment and identification


RAMS product and production design


IoT, safety and risk management in industrial systems


Future network and device evolution

Improved access networks and enabling technologies


End-to-end optimization of wireless networks


Device and antenna technologies based on new materials


Ministry of Transport and Communications suggestions to H2020 work programs

Digitalization, socio-economic and evidence based decision-making


Maritime transport and industries


Aviation


Miniature smart devices for detection of Atrial Fibrillation


Aalto ARTS suggenstions to H2020 work programs

Strong Alternative Scenarios for Research Funding


Open Intellectual Property


Aalto University, suggested topics

Contact: Vuokko Lepistö-Kirsilä, tutkimusasiamies, Aalto-yliopisto Tutkimuksen tukipalvelut p. 050 381 6396.


Web of Building Data - dynamics, quality and security


Personalized diagnostics and care though big data analytics


Computational Synthetic Biology for Sustainable Bioeconomy


Future cognitive transport protocols


Proactive security


Security of software defined networking


Securing software-defined networks


Security for billions of ubiquitous and embedded devices


Personalized learning environments for learning computational thinking online


Beyond search - new intelligent interfaces to information


Smart cities: analysis of hetereogeneous and continuous streams of data


Social media: Analysis of social media streams


Health and well-being: Develop data-driven approaches to improve health and well-being


Algorithmic challenges in big-data analysis


Power over Ethernet


Wireless Systems Big Data


Censorship-resistant communications


Internet Trust


Distributed and Mobile Cloud Systems for Service Innovation


Quantum nanoelectronics


Internet Trust


Motivating physical exercise with digital games and augmentation


Real-time Biomechanics Simulation


Parallel programming models for ubiquitous services


VTT contribution to H2020 Work Programme 2016-2017

A) Business and application driven topics


Industial internet and productivity


Technologies and services for hyper connected society


Personalised Health Solutions



B) Enabling technologies


Micro, nano and quantum technologies


Functional printing


High performance sensing


Future communications: 5G


Cyber security and privacy


Data science and analytics


Priorisointiperiaatteet

Koordinaatioryhmä määrittää yhteistyössä osallistujien kanssa, kuinka aihe-ehdotukset ryhmitellään laajemmiksi kokonaisuuksiksi. Koordinaatioryhmän muodostaa H2020-ohjelman virallisen ICT-komitean asiantuntijaryhmä, jossa on edustajat Tekesistä, Suomen Akatemiasta, LVM:stä ja STM:stä. Joukkoistetut lobbaustavoite-ehdotukset Horizon 2020-ohjelman vuosille 2016-2017 alustavaan apilamalliin jäsenneltynä löytyvät alta listattuina. Huom! Mikäli jaottelu ja ehdotettu ylätason otsikkojaottelu on osallistujien mielestä epätyydyttävä, voi vaihtoehtoisia ehdotuksia kirjata alle. 

Huom! Ao. listojen numerointijärjestys ei tarkoita priorisointijärjestystä, vaan tarkoituksena on vain ryhmitellä ehdotukset aihepiireittäin!


Arctic

  1. Fully automated airports
  2. Harbour time optimization at ship loading and unloading
  3. Package handling automatization
  4. Traficflow calibration and automation
  5. Unmanned Aerial Vehicle networks


Bioeconomy

  1. Computational Synthetic Biology for Sustainable Bioeconomy: Algorithms, modelling and simulations
  2. Functional printing (Thin Organic and Large Area Electronics - TOLAE)
  3. High performance sensing for industry, science, and society
  4. Reaction libraries
  5. Real-time Biomechanics Simulation


Cleantech

  1. 4D/5D real time video virtualisation in maritime spatial planning and to prevent disasters in sensitive areas and also to help estimate and forecast how the spills would behave in case of different climate conditions, connections to other databases
  2. 4D/5D video virtualisation in developing the logistics corridors in container and other freight transportation cases, how the heavy trucks impact on the roads and how the sea-port-inland port transport corridors should be developed and organised to lower the CO2 and other emissions
  3. Applying Big Data an IoT in Maritime
  4. Automated time based emission measuring and reporting from industry manu-facturing processes and impacts to greenhouse gas emissions
  5. Builging Information Modelling (BIM) and life cycle services
  6. Energy saving robotics
  7. Independently moving and working robots at warehouses
  8. Maritime safety via realtime analysis
  9. Micro-, nano-, and quantum technologies R&D
  10. Quantum nanoelectronics
  11. Robotics
  12. Unmanned solutions


Digital Economy and Services


  1. Anonymisation of Wireless Systems Big Data, processing extreme large amount of Wireless Systems Big Data data, finding balance betweenlocal processing of Wireless Systems Big Data and transport of Wireless Systems Big Data etc.
  2. Answering to 5G challenges
  3. Answering to algorithmic challenges in big-data analysis
  4. Augmented reality user interfaces, modelling engines and rendering farms
  5. Beyond search - new intelligent interfaces to information
  6. Big data analyzis of robot systems
  7. Censorship-resistant communications
  8. Cost management reporting systems utilising big data and cloud databases
  9. Cutting costs and emissions by flattening total energy consumption of networks
  10. Cyber security and privacy: Solutions providing prediction, situation awareness and resiliency against threaths. Solutions for data access and privacy. Security from silicon to cloud. Solutions for industry, business and society.
  11. Data science and analytics: Methodologies and applications of data mining, data analysis, and decision making support for services in industries, health, and business. Cloud technologies and architectures
  12. Digital content production network funding models
  13. Distributed and Mobile Cloud Systems for Service Innovation
  14. Fill rate optimization in global transportation of goods
  15. Fraud and cheat testing in the face of Internet evolution
  16. Future cognitive transport protocols that can adapt to dynamic changes in network performance and availability
  17. Future communications: 5G (radio access, network management, multimodal), optical connectivity components, sensor networks, Internet of things connectivity; Cloud technologies
  18. ICT intensive futures forecasting to improve resilience in investments, education goals and science projects
  19. Industrial Internet and productivity Solutions for internationally competitive Finnish core industries
  20. Internet of things (IoT) troubleshooting
  21. Internent of Trust - components of the solution include: firewalls, intrusion detection, reputation management systems applied into all communications over the Internet
  22. Knowledge Discovery in Linked Data
  23. Linked big and open data
  24. Linked Data quality and re-use
  25. More spectrum, higher spectral efficiency and small cells shall provide up to 1,000 times more capacity in wireless access.
  26. My Data encryption
  27. New network based teaching methods
  28. Open Intellectual Property - In order for the R&D in Europe to benefit all citizens, communities and enterprises as opposed to be buried in the vaults of R&D labs and proprietary monopoly products, EU R&D funding should be only directed to support work that produces openly published and freely available and modifiable (open source) results
  29. Opening data in machine readable form in the Universities and by the public authorities
  30. Packing and fillrate optimization in every step of the goods from transportation from factory to end customer
  31. Pay per use business model for robot systems
  32. Parallel programming models for ubiquitous services
  33. Personalized learning environments for learning computational thinking online
  34. Power over Ethernet
  35. Proactive IT-security strategies and generic SDNs (Software Designed Networks)
  36. Production management and procedure innovations
  37. Reduce network latency to milliseconds
  38. Reliability, availability, maintainability and safety (RAMS) design for products and production systems
  39. Retrofitting ICT in cities and buildings to make us behave smarter in smarter environments
  40. Robotics in house building
  41. Robot utilization at warehouse order picking
  42. Safety improving solutions to the practical level in SMEs
  43. Security and reliability of software defined networking
  44. Security for billions of ubiquitous and embedded devices
  45. Semantic knowledge extraction from unstructured data
  46. Smart cities: analysis of hetereogeneous and continuous streams of data
  47. Strong Alternative Scenarios - In the EU, research funding is typically based on strongly programmed research calls, which are based on commonly accepted doctrines and assumptions concerning the development of society, technology and economy. This leads to systemic rejection of visions that diverge from these fundamental doctrines as a viable basis for research, and leads to a lack of diversity that seriously hampers the possibilities of Europe to generate viable alternatives to prevailing understandings and to develop truly innovative initiatives. In future EU research programmes there would be thus a great need to strengthen radically the opportunities for new openings that diverge from the preprogrammed visions, and also make sure that the demands for consortia and project forms do not discriminate against insightful seeds of change.
  48. Teach networks self-awareness and optimatization skills with AI and Big Data
  49. Technologies and services for hyper connected society Critical infrastructures
  50. Ubigue and layered cities rendering farms
  51. User and consumer oriented service design processes
  52. Visualization and exploration of Linked Data
  53. Web of Building Data - dynamics, quality and security - the dynamic nature of the data creates needs to manage changes and version histories of the dataset and linksets. Secondly, there are higher coverage and quality requirements for linking: since links are used in real construction workflows or Smart City applications, it is essential that all links have been identified and that there are no incorrect links to confuse the activities. Thirdly, the need to control the access to published datasets creates security-related research topics.


eHealth, mHealth and wellbeing

  1. Applications, data mining and miniaturised smart devices for convenient long period health monitoring
  2. Building tools and interfaces to enable socially responsible and participatory behavior
  3. Develop data-driven approaches to improve health and well-being
  4. Personalized diagnostics and care though big data analytics
  5. Personalised Health Solutions - Personalised digital health services - Big (Health) data analytics and decision support - Wearable sensors and systems for wellness applications - Technologies for point-of-care diagnostics and self-tests
  6. Motivating physical exercise with digital games and augmentation
  7. Using ICT to enable preventive and inclusive healthcare and allow autonomy in healthy behavior for everyone
  8. Using ICT to support sustainable lifestyles


Collected topics for Digital Economy and Services

NB: The numbering of the listed items below does not correspond to the priority ordering!


  1. Enable 1000 times more capacity
  2. Reduce latency to milliseconds
  3. Teach networks to be self-aware
  4. Personalize the network experience
  5. Telco Clouds
  6. Flattening total energy consumption
  7. Requirements for 5G
  8. Retrofitting ICT in cities and buildings for smart living
  9. ICT intensive futures forecasting
  10. Linked Data
  11. Semantic knowledge extraction from unstructured data
  12. ICT based risk assessment and identification
  13. RAMS product and production design
  14. IoT, safety and risk management in industrial systems
  15. Improved access networks and enabling technologies
  16. End-to-end optimization of wireless networks
  17. Device and antenna technologies based on new materials
  18. Digitalization, socio-economic and evidence based decision-making
  19. Maritime transport and industries
  20. Aviation
  21. Web of Building Data - dynamics, quality and security
  22. Future cognitive transport protocols
  23. Security of software defined networking
  24. Security for billions of ubiquitous and embedded devices
  25. Personalized learning environments for learning computational thinking online
  26. Beyond search - new intelligent interfaces to information
  27. Smart cities: analysis of hetereogeneous and continuous streams of data
  28. Social media: Analysis of social media streams
  29. Algorithmic challenges in big data analysis
  30. Power over Ethernet
  31. Wireless Systems Big Data
  32. Censorship-resistant communications
  33. Internet Trust
  34. Parallel programming models for ubiquitous services
  35. Industial internet and productivity
  36. Technologies and services for hyper connected society
  37. Micro, nano and quantum technologies
  38. Functional printing
  39. Future communications: 5G
  40. Cyber security and privacy
  41. Data science and analytics


Summary of cross-cutting themes

Digitaalisuus on läpileikkaava ja nouseva ilmiö niin toimialojen sisällä kuin toimialojen välilläkin. Kilpailukyvyn kannalta on oleellista tunnistaa erityisesti digitaalisaation hyödyntäminen toimialoja yhdistävänä tekijänä. Toimialojen väliseen rajapintaan muodostetut digitalisaatioon perustuvat palvelukonseptit edesauttavat talouskasvun tukemista ja vientitoiminnan globaalia edistämistä.

Digitaalisten palveluinnovaatioiden (MaaS, SaaS, EaaS jne.) tuottaminen edellyttää panostusta sekä mahdollistavien teknologioiden tutkimukseen, palvelukehityksen itsensä tutkimista että lopuksi palvelun tuottamien vaikutusten analysointia. Taustamateriaalista kerättyjä toistuvia teemoja ensimmäisessä luokassa ovat mm. 5G-tekniikat, heterogeenisten verkkojen hallinta ja erilaiset älykaupunki, älyliikenne- yms. sensoriteknologioiden ja IoT:n sovellukset. Toiseen luokkaan kuuluvat sosio-ekonomiset mallit, henkilö-kone rajapinnat ja vuorovaikutus, personoitu palvelumuotoilu yms. Lopuksi kolmanteen, eli digitalisoitumisen vaikutuksien tutkimukselle avattavat haasteet ovat niin syvästi yhteiskunnan toimintaa muuttavia, että niitä ei pidä jättää edellisten kahden luokan tutkimuksen varjoon. Merkittäviä tutkimuskysymyksiä tässä luokassa ovat mm. luottamus internettiin, yksilönsuoja, työn muuntuminen ja energiatarve. Big Data -analytiikka, joka mahdollistaa älykkäiden ohjausjärjestelmien ja älykkään päätöksenteon ja suunnittelun eri organisaatiotasoilla on tärkeä läpileikkaava teema.





Criteria for selecting priorities for the next work programme exercise

Delivering on the Europe 2020 objectives of smart, sustainable and inclusive growth depends on research and innovation as key facilitators of social and economic prosperity and of environmental sustainability. Linking EU research and innovation closer to policy objectives sets the framework and specific objectives to which Horizon 2020 research and innovation funding should contribute, such as the Europe 2020 Strategy, the Innovation Union and other flagship initiatives.

With research and innovation being one of the main sources of future growth, the work programme 2016-2017 should thus build on the emerging improved economic situation which allows the EU to build on its competitive advantages to seize new opportunities and create new jobs, besides underpinning key EU policies and objectives. The work programme 2016-2017 should be developed to help the EU capture these opportunities building on the largest single market in the world and a leading position in many fields of knowledge and key technologies. To help focus resources and effort, the focus area approach will be continued. It is expected that some of the existing focus areas will be retained/re-defined, while others will not be continued and new ones introduced.

Besides focus areas, the work programme will also need to address other measures, equally important for economic prosperity: jobs, competitiveness, productivity gains, and overall development of society.

The overarching strategic programming document will in particular contain proposals for the focus areas for the next work programme, while each scoping paper will contain proposals for the priorities to be covered in 2016-2017 on the basis of the inputs received, including how these could then be translated into calls and focus areas.

This paper suggests selection criteria to help identify the areas, including the focus areas, and actions to be rolled-out in the next work programme on the basis of the Specific Programme and building on those areas also supported under the 2014-2015 work programme. The following criteria to be used cumulatively for the selection of priorities are proposed:

  • Maximising EU added value – focusing on areas which cannot be effectively addressed at national level, mobilising resources to build scale and critical mass, improving leverage and synergies with national programmes, aligning with major EU level political initiatives and objectives, contributing to the implementation of EU wide research and innovation agendas;
  • Priority areas addressing and anticipating key trends – like societal change and aging population; ICT and big data; globalisation; productivity developments; resource constraints and environmental concerns; security and sustainability of energy supply; urbanisation, etc. on the basis of available evidence such as foresight and other assessments of research and innovation trends and market opportunities, building on existing research, innovation and business strengths; and identifying areas of high potential for world class scientific, technological and innovative breakthroughs;
  • Providing strong potential for impact and uptake as well as leverage industrial participation – addressing the longer-term competitiveness and prosperity of the EU and the well-being of its citizens and enhancing industrial participation, including small and medium-sized enterprises through clearly defined impacts addressing the demand side, tackling the barriers to innovation and market deployment and uptake, and translating scientific leadership into industrial advantage; around which collaborations should be built between industry, businesses, universities and research institutions, public authorities, etc., to the benefit of society at large;
  • Addressing key novelties and providing genuinely cross-cutting approaches – ensuring the embedding of key novelties such as covering the full research and innovation cycle, social sciences and humanities, gender aspects, climate and sustainable development, etc., and that challenges and areas cutting across different specific objectives and parts of Horizon 2020 are identified and integrated;
  • Improving international cooperation – focusing on key strategic and targeted areas of mutual benefit and providing synergies with international initiatives/projects.


Draft note from the Finnish Ministry of Employment and the Economy - Latest version

Draft note from the Finnish Ministry of Employment and the Economy

Digitalization and services – new infrastructure for the economy

Some rationale and suggestions for H2020


Digitalization changes the world empowering the customers and end-users. It underlines the role of services and innovative business models and modifies the value chains and networks in all sectors. Value is not created in a vacuum but by constantly interacting with users that through digitalization are enabled to massively co-create and influence on service quality. Digitalization facilitates cross-fertilization of different fields of research and economy, rapid global scaling-up of the business and creation of hyper-scalable services that use big data and cloud as platforms for growth. Europe has largely missed these opportunities so far due to lack of digital single market, declining skills base, ignorance of the growing user and customer power, too rigid grip on existing markets and underinvestment in projects that create disruptive business opportunities. Digital, data-driven, service-oriented innovation must be boosted across all sectors of the economy. Therefore digitalization and services need to be strong cross-cutting themes in all the areas and work programmes in Horizon 2020.


Everything will be digital, networked and global

Europe should aim at being the future haven for companies developing digitalized, scalable services. The share of services has grown to 70 to 80 of GDP in advanced economies. Services represent more than two thirds of the FDI projects in Europe, which is not only significant, but almost 50 percent more than a decade ago. Digitalization offers new opportunities for creating innovative services that can be scaled up (or down) according to the needs of the customer at low or no delivery cost. Through the digital representation of the real world created by the internet of things (IoT), this new hyper-scalable business dynamics will become dominant not only in the gaming and internet worlds as in the past, but also in e.g. industrial, automotive, domestic and health businesses. The market fragmentation hampering the innovation take-up and growth should be tackled by completing the digital single market without delay. We have to ensure enough European winners in this game as the winner really takes all the global profits in the business. Intangible assets and capabilities of businesses to efficiently develop and utilize them are opening doors to new capital and business partners. More and more jobs are created in IPR-intensive industries. Europe should aim at being the best home environment for companies, whose revenue models are based on intangible value creation, to orchestrate their global growth and reinvest their profits.


Digitalization and services will keep manufacturing in Europe

Digitalization, new business models, service-oriented thinking and better knowledge management are needed for keeping European manufacturing industry competitive. To reach its full potential, European industry needs to combine advanced manufacturing with smart services. Service-oriented high-tech companies can add value and open up new opportunities to market growth both for themselves and their customers in complex and dynamic global networks. European industry now has a golden opportunity to improve its competitiveness by adopting key enabling technologies and using them in creation of hyper-scalable smart services. Digitalization enables value capturing from global value networks to Europe. Developing services that bring together ICT, design, and e.g. cleantech will provide further means for job creation and improving sustainability in practically all industries.


Value adding service companies are ignored in European funding

Financing growth of service companies is challenging. Service companies that can create scalable business and help traditional industries to growth path usually experience more difficulties in attracting financing than technology-oriented companies due to their modest financial status and difficulty of valuing their assets. An economy-scale challenge is the polarization of e.g. the business service sector, consisting of large international consulting firms and micro-sized small runner-ups at the end of the scale with the middle market practically empty. Europe should better enable promising companies to grow their share in the new service-dominated value chains. The financial “asymmetry” and the consequent higher risk levels of development work in these kind of service companies need to be taken into account when choosing priorities for public innovation investments.


How to tackle these challenges in Horizon 2020?

Financing service innovation and innovation processes

Horizon 2020 should include pilot cases to provide base for evidence and learning on the transformational power of service innovation. In addition to having specific calls targeting service innovation, the thematic work programmes including SME programme should take it into account, applied and tailored according to the theme and challenge in question. The innovation process in service companies differs from industrial or product-based processes and the latter ones are also increasingly affected by servitization. This servitization of industry, the shift from a product-centered view of markets to a service-led model and the concept of “service-dominant logic” should be reflected in the H2020 work programme content and calls. Innovation processes can be accelerated and higher value-added created by strengthening the user and customer orientation and understanding and by introducing more design, life-cycle and cost-effectiveness thinking, collaborative practices, societal relevance and non-technology-driven initiatives in the calls. There should be more sensitivity to these issues for example when using and interpreting the “technology readiness level” scale.

In hyper-scalable services - that not only are capable of serving many people but work better the more they are - technology maturity is not as important as who captures most users earliest in the life time of a product development. More users for your application means more data and often drives a virtuous cycle of self-reinforcement. This cycle can be described as involving an early "deployment" followed by "engagement" of prospective users leading to "test / feedback" of users – which if positive has a multiplying effect. The ability to instigate users becomes a key performance indicator influencing the investment decisions of VC’s and Business Angels looking for a promising opportunity. This is important in order to bridge the “Valley of Death” often so fatal to many technology-driven companies in Europe. The early market interaction with the users should thus be funded in H2020. Financing new platforms and pilot environments

In order to make competitive digital and service development possible in Europe, we need to see the threats and opportunities that lie in the infrastructure and platforms, whether physical, technological, virtual or social. Existing markets that are based on old technologies and solutions need to be identified. Europe is in many fronts building new services on an established infrastructure which might in some cases slow down the deployment of new technological platforms or service systems, or the development is too incremental. We need to invest in creating new infrastructures and platforms, where we can experiment, pilot and demonstrate new ways of doing things in a systematic manner and reaching a critical mass of users. Smart cities, smart transport and smart manufacturing are example areas of public-private partnership activities, which consist not only from RDI funding but also from other innovation policy actions like financial market and internal market development, cutting red tape for innovative SMEs and creating smart demand, regulations and standards. For example large IoT pilots in different societal challenges in H2020 would create understanding of the needed regulation for the digital service economy.


Financing business model innovations in value networks and clouds

It is important to acknowledge in the context of Horizon 2020, that the value chains are changing for many reasons: The shifting balance in the globalizing world economy, technologies and solutions that are developing in a disruptive way, value creation that is increasingly based on intangible assets (whether consequence of digitalization, design, IPRs, marketing or other). Global value chains are becoming value networks, and in many cases even “value clouds” in digital economy. At the same time, the line between B-to-B and B-to-C is blurring, and consumers’ and citizens’ role in business ecosystems is growing. Theme areas where this is evident include smart grids and 3D printing, both expected to create space for disruptive services and business models around the new technologies.

The growth potential of such new areas could be enhanced in funding schemes by bringing all relevant players in the innovation ecosystem together and thus enabling systemic innovation where services play a significant role. Horizon 2020 should encourage European companies to challenge existing value chains, create new business models and be a resilient mover in changing economical and industrial structures. Issues related to how to legally or otherwise protect service innovations are important, difficult and often neglected. The focus of discussion in protecting intellectual capital has been in patents, but the discussion should be broadened to other types of intangible capital and related strategies. Launching some specific support actions and integrating IP questions and strategies to Horizon 2020 projects from this angle are needed.


Financing digitalization of services

The digitalization of services concerns both digital services around industrial products and production and digital services developed for upgrading and scaling up traditional services. There are no areas of economy or industry that would not be affected by digitalization and servitization. It offers real win-win solutions: Both the productivity and ecological gains can be huge while the value to customer increases significantly. (According to one study ICT could reduce CO2 emissions by enabling reductions in other sectors up to 15 % of total global emissions by 2020. )

Big data will be the infrastructure for future digitalized services and it should be in focus horizontally in all thematic work programmes. In the industry, the value created in the “IoT” or “cyber-physical systems” or “industrial internet” is dependent on the ways the data can be analyzed, further programmed and servitized for the benefit of the companies and customers in the value chain. Creating digital service innovations and delivery models such as MaaS (Mobility as a Service), SaaS (Software as a Service) and EaaS (‘Everything as a Service’) requires more focus in enabling technologies, service development and the impact analysis of the servitization. Important research and innovation themes include 5G technologies, controlling heterogeneous networks, smart city applications, smart transport, sensor technologies, robotics and other IoT related technologies. Another set of priorities is related to understanding the user angle: socio-economic modeling, human-computer interface and interaction, gamification, learning and personalized service design.

On a third level, the profound impact of digitalization to the society is important to cover: trust, privacy and data protection issues, changing work and energy landscape as well as big data analytics that enables smart governance and decision-making at different levels of organizations and society as well as change in the culture, human behavior and ways of working caused by digitalization of the society. It is important to note that services provided e.g. in social media have changed the financing and business models based on the value of personal data, leading to greater concern for privacy issues, control of data and sharing-economy type of developments. To solve the dilemma of privacy and copyright concerns and huge unlocked business potential of data in the digital era, we need more piloting in data governance mechanisms and structures.


Financing better understanding of customer needs

In many fields, successful companies are increasingly positioning them as integrators of value chains and networks. The value is created more and more with the customer, whether supplier or end-user. Competitive new European products and services will require deep insight of consumer’ behaviour, including their purchase and consumption patterns. In this “Age of Customer”, gathering those insights through projects that focus on digitalization, design and services is essential.

We need to ensure that Horizon2020 offers sufficient opportunities for projects that aim to increase knowledge base on global consumers and customers in different fields of European flagship industries and unlock the innovation opportunities arising from that. Also, in the user-centered service economy the nature of work has changed. That requires new customer-oriented leadership and participation skills. This could be a fruitful theme to look deeper across the value networks both in European and global context.

Viestinvälitys EU:n organisaatioissa

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