This report documents the process and findings of a horizon scanning exercise, part of a series under
the FUTURINNOV (FUTURe-oriented detection and assessment of emerging technologies and break-
through INNOVation) project, a collaboration between the European Innovation Council (EIC) and the
Joint Research Centre (JRC), aiming to bolster the EIC's strategic intelligence through foresight and
anticipatory methodologies.

The workshop, held on 17 September 2024, had as its primary goal the evaluation and prioritisation
of trends and signals on emerging technologies and breakthrough innovation, across all technology
readiness levels (TRLs), within the EIC's Medical Imaging and AI portfolio.
Signals for the workshop were gathered from experts, literature review, and text/data mining of pa-
tents, publications, and EU-funded projects. These signals were then scrutinised for their significance
to the field's future by a diverse group of sector experts which led to the identification of eight key
topics: generative AI for healthcare; digital twins; multimodal data analysis; explainable AI in medical
imaging; application of AI to specific diseases/conditions; XR - augmented and virtual realities; tensor-
valued diffusion encoding, and AI-generated synthetic data for training AI. Furthermore, the workshop
identified additional wild cards with high novelty and disruptive potential such as: blockchain, edge
computing and differential privacy for secure, AI-driven medical imaging and collaborative healthcare
optimisation and quantum medical imaging.

Participants also highlighted various factors that could influence the development, adoption, and pro-
motion of these emerging technologies, which can be grouped under the following categories: Tech-
nological advancements and cross-sector applications; data infrastructure, AI models, and regulatory
frameworks; workforce, education and societal factors; clinical efficiency and patient outcomes; trust,
ethics, and AI adoption; financial pressures and industry investment in AI healthcare.

The FUTURINNOV project run by European Commission Joint Research Centre (JRC) supports the European Innovation Council (EIC) in building strategic intelligence capacity through foresight and other anticipatory approaches. This is done through activities to identify funding priorities, inform programme design, contribute to policy feedback, and develop institutional governance. 

The main objectives are to:
• Provide short and medium-term future-oriented evidence-based advice on signals and trends of emerging technologies, breakthrough innovation, and investment patterns;
• Support the development of long-term EIC strategic intelligence, grounded in anticipatory, collective, and hybrid methods, towards knowledge transfer and capacity building; and
• Explore innovative anticipatory thinking and future-oriented methodologies to support EIC in its mission as a funding body and a knowledge- provider for policy design and implementation.
The project started in the beginning of the 2024 and will run until February 2025. Outputs of the FUTURINNOV project will include three literature reviews identifying and analysing signals of emerging technologies and breakthrough innovations as well as findings from horizon scanning workshops.

Eyes on the Future - Signals from recent reports on emerging technologies and breakthrough innovations to support European Innovation Council strategic intelligence - Volume 1

The report provides a literature review of publications authored by numerous external organisations. It summarises 34 signals and trends of emerging technologies and breakthrough innovations across the 11 primary categories of a taxonomy defined by the European Innovation Council (EIC). The authors investigate not only what is deemed most novel in multiple application domains but what is worth the attention of European Union (EU) policy audiences involved with priority-setting and decision-making. The literature review

(1) reviews and evaluates 186 reports and articles on emerging technologies,
(2) captures 489 signals, of which 86 have been short-listed and 34 selected for this report,
(3) creates an internal database of signals which is used to digest and analyse the evolution of signals and novel technologies
(4) connects signals with EIC portfolios and other European Commission (EC) initiatives such as policies surrounding critical technologies and Strategic Technologies for Europe 

Platform (STEP) investments that, together with the primary and secondary levels of the EIC taxonomy, provide multiple types of analysis and insights(5) draws conclusions that aim to support the EIC’s funding prioritisation and additionally, provide reflections on EIC portfolio setting.  

Read some insights from the authors on the blog. 

Eyes on the Future - Signals from recent reports on emerging technologies and breakthrough innovations to support European Innovation Council strategic intelligence - Volume 2

The second volume of the literature review with 30 selected signals and trends that were considered particularly relevant to the 10 critical technology areas identified by the Commission. Some examples are:
• Neuromorphic chip optimised for energy efficient AI workloads
• Laser-equipped satellites for secure quantum communications
• Possibilities of microgravity bioreactors and 3D bioprinting for regenerative medicine
• Self-consuming rockets to reduce space debris and improve efficiency
• Potential to capture wasted 'reflected' energy from PV systems
• Preparation–free, adhesive skin patches to help people control robotic exoskeletons.

(Dis)Entangling the Future - Horizon scanning for emerging technologies and breakthrough innovations in the field of quantum technologies

This report documents the process and findings of a horizon scanning exercise, part of a series under the FUTURINNOV. The workshop, held on 24 April 2024, had as its primary goal the evaluation and prioritisation of trends and signals on emerging technologies and breakthrough innovation, across all technology readiness levels (TRLs) and within the EIC's Quantum technologies portfolio. Signals for the workshop were gathered from experts, literature review, and text/data mining of patents, publications, and EU-funded projects.
These signals were then scrutinised for their significance to the field's future by a diverse group of sector experts which led to the identification of nine key topics:
•quantum computers
•quantum sensing
•quantum algorithms for lattice-based computational fluid dynamics models
•materials for quantum
•Artificial Intelligence for quantum
•error correction; solid-state scalability
•quantum for Artificial Intelligence
•quantum as a service – metacloud

Furthermore, the workshop identified additional wild cards with high novel-ty and disruptive potential such as quantum sensing AI on edge and molecular spin qubits. Participants also highlighted various factors that could influence the development, adoption, and promotion of these emerging technologies, which can be grouped under the following categories: technical advancements; investment and infrastructure support; cross-sector collaboration; regulatory navigation; talent acquisition; market maturity; and application utility.

Materialising the Future - Horizon scanning for emerging technologies and breakthrough innovations in the field of advance materials for energy

This report documents the process and findings of a horizon scanning exercise on emerging technologies in advanced materials for energy. Signals for the workshop were gathered from experts, literature review, and text/data mining of patents, publications, and EU-funded projects. These signals were then scrutinised for their significance to the field's future by a diverse group of sector experts which led to the identification of nine key topics: 

• accelerated material design/synthesis
• biomaterials as part of the circular economy
• advanced materials allowing new applications
• closed loop battery recycling
• innovations in catalysis
• organic batteries for sustainable energy storage
• design to performance bat-teries
• design to cost batteries
• electrochemical water treatment

Furthermore, the workshop identified additional wild cards with high novelty and disruptive potential such as: circularity of materials (safe and sustainable by design); membranes / separators; process optimisation; 3D printing of electrode materials for energy and environmental engineering applications; and use of AI for the study of materials.
Participants also highlighted various factors that could influence the development, adoption, and promotion of these emerging technologies, which can be grouped under the following categories: governance and compliance frameworks; funding; collaboration and knowledge exchange; sustainable and efficient development; infrastructure and technological advancement and limita-tions; industry and market dynamics and constraints; innovation and risk management; supply chain and raw materials; and talent development.

Imagine the future - Horizon scanning for emerging technologies and breakthrough innovations
in the field of medical imaging and AI

This report documents the process and findings of a horizon scanning exercise, part of a series under
the FUTURINNOV project. The workshop, held on 17 September 2024, had as its primary goal the evaluation and prioritisation of trends and signals on emerging technologies and breakthrough innovation, across all technology
readiness levels (TRLs), within the EIC's Medical Imaging and AI portfolio.
Signals for the workshop were gathered from experts, literature review, and text/data mining of pa-
tents, publications, and EU-funded projects. These signals were then scrutinised for their significance
to the field's future by a diverse group of sector experts which led to the identification of eight key
topics: 

• generative AI for healthcare
• digital twins
• multimodal data analysis
• explainable AI in medical imaging
• application of AI to specific diseases/conditions
• XR - augmented and virtual realities
• tensor-valued diffusion encoding
• AI-generated synthetic data for training AI

Furthermore, the workshop identified additional wild cards with high novelty and disruptive potential such as: blockchain, edge computing and differential privacy for secure, AI-driven medical imaging and collaborative healthcare
optimisation and quantum medical imaging.
Participants also highlighted various factors that could influence the development, adoption, and pro-
motion of these emerging technologies, which can be grouped under the following categories: Tech-
nological advancements and cross-sector applications; data infrastructure, AI models, and regulatory
frameworks; workforce, education and societal factors; clinical efficiency and patient outcomes; trust,
ethics, and AI adoption; financial pressures and industry investment in AI healthcare.

In times of growing uncertainties and complexities, anticipatory thinking is essential for policymakers.
Technology foresight explores the longer-term futures of Science, Technology and Innovation. It can be used
as a tool to create effective policy responses, including in technology and innovation policies, and to shape
technological change.

In this report we present six anticipatory and technology foresight methods that can contribute to anticipatory
intelligence in terms of public funding of innovation: the Delphi survey, genius forecasting, technology roadmapping, large language models used in foresight, horizon scanning and scenario planning.

Each chapter provides a brief overview of the method with case studies and recommendations.
The insights from this report show that only by combining different anticipatory viewpoints and approaches
to spotting, understanding and shaping emergent technologies, can public funders such as the European
Innovation Council improve their proactive approaches to supporting ground-breaking technologies. In this
way, they will help innovation ecosystems to develop.

The Joint Research Centre (JRC) and the European Innovation Council (EIC) conducted a series of Horizon Scanning exercises across six EIC programme managers’ (PM) portfolios as part of an ongoing collaborative effort to strengthen EIC strategic intelligence capacity through the use and development of anticipatory approaches. The fields covered include: Space Systems & Technologies; Quantum Technologies; Agriculture & Food; Solar Fuels & Chemicals; Responsible Electronics and Architecture, Engineering & Construction.

The main findings of this Horizon Scanning – the identification and analysis of ‘signals’ from nascent research, technologies, or trends on the periphery of the mainstream – show opportunities for investment in emerging technologies and breakthrough innovations that can advance EU competitiveness while also serving to support the EU’s long-term policy and societal visions.
Other insights were taken from this exercise, namely the identification of drivers, enablers and barriers to technology development and adoption, that could be the starting ground of further foresight exercises and policy initiatives.

The report highlights three main themes – sustainability, energy, and scalability, which are overarching across signals, drivers, enablers and barriers. And concludes with a series of recommendations to streamline Horizon Scanning activities in the specific context and needs of the EIC.

Growing volatility, uncertainty, complexity and ambiguity, present leading challenges in policy-making nowadays. Anticipatory thinking and foresight are of utmost importance to help explore trends, risks, emerging issues, and their potential implications and opportunities in order to draw useful insights for strategic planning, policy-making and preparedness.

This report is a part of the “Anticipation and monitoring of emerging technologies and disruptive innovation” (ANTICIPINNOV) project, a collaboration between the European Commission Joint Research Centre with the European Innovation Council (EIC).

The findings include a set of 106 signals and trends on emerging technologies and disruptive innovations across several areas of application based on a review of key reports on technology and innovation trends and signals produced by public and private entities outside of the EU institutions. Its goal is to strengthen the EIC’s strategic intelligence capacity through the use and development of anticipatory approaches that will - among other goals – support innovation funding prioritisation. Other insights were extracted, namely those related with the scope of the EIC Programme Manager portfolios.