Over Horizon 2020 ICT
Digital technologies underpin innovation and competitiveness across private and public sectors and enable scientific progress in all disciplines. The topics addressed cover the ICT technology in a comprehensive way, from technologies for Digitising European Industry, HPC, Big Data and Cloud, 5G and Next Generation Internet. Pursuing the change initiated under Work Programme 2016-2017, activities will continue to promote more innovation-orientation to ensure that the EU industry remains strong in the core technologies that are at the roots of future value chains.
Through a successful application to the programme, companies can get:
- €1-5 M for technology and product development
- IPR – Intellectual Property Rights
- New partner networks
- Access to new markets
- Technology and knowledge transfer
Possibilities with Horizon 2020 ICT
The ICT program offers opportunities for a variety of organisations (SMEs, large companies, public bodies, NGOs) to co-finance development of new technologies or the application of existing technologies in new a context. The applicants must face a technological challenge or address a problem relevant to society. Horizon 2020 ICT co-financing research, development and demonstration activities.
The Horizon 2020 ICT calls will be offered to projects within the following categories (see specific topics below):
- Technologies for Digitising European Industry
- European Data Infrastructure: HPC, Big Data and Cloud technologies
- 5G & Next Generation Internet (NGI)
- Support to Hubs
- Cyber Security
Requirements for Horizon 2020 ICT
There are a number of requirements that need to be met to be considered for Horizon 2020 ICT:
- Innovation height – the product or technology needs to be novel and solve a European problem
- Large market potential or great socio-economic impact – minimum € 100 M over 5 years
- The project requires international cooperation
Zie hier de aankomende deadlines voor Horizon 2020 ICT. Houd er rekening mee dat u 1-2 maanden nodig heeft voor de voorbereiding van de aanvraag.
Advancing photonics technologies and application driven photonics components and the innovation ecosystem
The advancement of photonics depends on core photonics technology which can be applied in many different application areas. The challenge is to develop and apply core photonics technology for the next generation of devices (including components, modules and sub-systems) in order to drive innovation in key application areas, which are significant current or future markets and where photonics can bring a key competitive advantage.
Innovative photonic sensing solutions can contribute to reducing food production losses and food wastes, estimated in Europe at about 300 kg per capita, and to increasing food safety for the end consumer along the food production chain from farm to fork.
Increased pollution of air, soil and water is raising new concerns regarding the safety of the environment and its potential risks for European citizens’ health. Distributed smart photonic sensor networks involving public participation through community-based monitoring could assist in creating inventories of emitted pollutants, identifying pollution hotspots, and alerting citizens in real time on potential health risks.
European health and care systems face a number of challenges linked to the ageing of the population and an increase in the prevalence of chronic conditions. With budget constraints, the health and care systems face rising cost pressures for systems and problems of sustainability. There is a consensus that health systems need to undergo adaption if they are to adequately respond to future population health needs.
New digital technologies will play a role in transforming health and care systems. In particular, artificial intelligence and robotics, have the potential to transform health and care facilities across their range of functions from the clinical aspects (screening and prevention, diagnosis, treatment, surgical support) to organisational and logistical aspects (such as the management and distribution of medicines and wider supplies across the facility). Given that health facilities such as hospitals consume the major proportion of resources available to health and care budgets, efficiency gains in these facilities may support sustainability of the system as a whole.
Innovative AI based systems (robotics, big data, machine learning, autonomous systems, conversational agents, etc.) have shown considerable promise so far, however their effective use in the delivery of health and care depends on their successful integration (and acceptation) within existing health and care facilities such as hospitals, primary care centres and care homes.
Therefore, piloting at scale is needed to prove the transformative impact of AI. Pilots need to be embedded in operational health and care settings and built around well specified open physical and digital platforms that are able to demonstrate operational and economic benefits sufficient to justify wider uptake by health and care policy makers.
AI in this context has the potential to deliver integrated physical and digital services that address a wide range of healthcare applications, for example in patient care, diagnosis, treatment and in hospital based laboratory and support services. Ethical, privacy and trust aspects should be addressed, as appropriate.
While robots originated in large-scale mass manufacturing, they are now spreading to more and more application areas. In these new settings, robots are often faced with new technical and non-technical challenges. The purpose of this topic is to address such issues in a modular and open way, and reduce the barriers that prevent a more widespread adoption of robots. Four Priority Areas (PAs) are targeted: healthcare, inspection and maintenance of infrastructure, agri-food, and agile production.
In each of these PAs it is critical to develop appropriate autonomous capability that has impact on the efficiency of key applications in the PAs and moves beyond the current state of the art. This capability is built from core technologies and is proved and tested through pilot demonstrators that embed within real or near real environments.
User needs, safety, ethical, gender, legal, societal and economic aspects should be addressed in order to raise awareness and take-up by citizens and businesses. Privacy and cybersecurity issues, including security by design and data integrity should also be addressed, where appropriate.
Rural areas represent most of Europe's territory (91%) and population (59%). When measuring against socio-economic indicators rural areas tend to lag behind urban areas. Lower population and business density make it more challenging to develop private businesses and public services in rural areas.
Rural areas are key to solve many of the big societal challenges such as climate change or the sustainable provision of food, biomass and energy. European rural areas are places of great assets and they can become more attractive if the provision of jobs, basic services, including health and care, connectivity, smart transport, and energy solutions, as well as a favourable climate for entrepreneurship, are ensured. Among the priorities to be addressed, overcoming the digital divide between rural and urban areas and developing the potential offered by increased connectivity and digitisation of rural areas must receive particular attention.
In particular, one key challenge is to overcome the barrier of missing interoperability of smart object platforms and service platforms that share and exploit data between them. This should trigger the emergence of a dynamic rural ecosystem, which in turn can lead to the development of cross-platform applications that ultimately contribute to increasing economic growth in rural areas and support their contribution to tackling societal challenges.
Cloud computing is changing from a pure elastic provisioning of virtual resources (or platforms) to a transparent and adaptive hosting environment that fully realizes the “everything as a service” provisioning concept, from centralised cloud to the edge, and from network and computing infrastructure up to the application layers.
The challenge is to develop comprehensive cloud solutions and testbeds combining various execution platforms for ubiquitous and seamless execution computing environments as a foundation for a complete computing continuum. This requires novel solutions for federating infrastructures, programming applications and services, and composing dynamic workflows, which are capable of reacting in real-time to unpredictable data sizes, availability, locations, and rates. This will provide application developers with greater control over network, computing and data infrastructures and services, and the end-user will benefit from seamless access to continuous service environments. Such solutions should also address security, semantic interoperability, heterogeneous data integration, organisation and linking, data protection, performance, resilience and energy-efficiency requirements to respond to the future digitisation needs of industry and the public sector. Addressing these challenges will also be part of and contribute to the technological ambitions of the Next Generation Internet (NGI).
The challenge is to fully exploit the potential of AI in the economy and society. Building notably on Europe's Scientific and Technology strengths in the field, the supported activities should reinforce industrial competitiveness across all sectors including for SMEs and non-tech industries and help address societal challenges (e.g. ageing, transport, gender equality). The ambition is to bring AI technologies and resources to integrators and innovators in all sectors and actively engage with a wide user community, to foster adoption of AI, via use-cases experiments.
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