EU Horizon research projects CARR COMMUNICATIONS LIMITED participated in, with its role and the EC contribution recorded for this organisation. Figures cover EU Horizon grants only, not total EU spend.
It takes two to tango: a synergistic approach to human-machine decision making (TANGO)
PartnerArtificial Intelligence (AI) holds enormous potential for enhancing human decisions, improving cognitive overload and lowering bias in high-stakes scenarios. Adoption of AI-based support systems in such applications is however minimal, chiefly due to the difficulty of assessing their assumptions, limitations and intentions. In order to realise the promise of AI for individuals, society and economy, people should feel they can trust AIs in terms of reliability, capacity to understand the human’s needs, and guarantees that they are genuinely aiming at helping them. TANGO will develop the theoretical basis and computational framework for hybrid decision support systems (HDSS) in which humans and machines are aligned in terms of values and goals, know their respective strengths, and work together to reach an optimal decision. To this end, TANGO will develop: 1) A cognitive theory of mutual understanding and hybrid decision making, of intuitive vs deliberative approaches to decision making and of how they affect our trust in human and AI teammates. 2) Cognition-aware explainable AIs implementing synergistic human-machine interaction, enabling machines to determine what information a specific decision maker (e.g., layperson vs expert) needs, or does not need, to reach an informed decision. 3) A “Human-in-the-loop” co-evolution of human decision making and machine learning models building on bi-directional, explanation-augmented interlocution. The TANGO framework will be evaluated on four high impact use cases, namely supporting: i) women during pregnancy and postpartum, ii) surgical teams in intraoperative decision making, iii) loan officers and applicants in credit lending decision processes, and iv) public policy makers in designing incentives and allocating funds. Success in these case studies will establish TANGO as the framework of reference for developing a new generation of synergistic AI systems, and will strengthen the leadership of Europe in human-centric AI.
- EC contribution:
- EUR 349k
- Start:
- 2023-10-01
- End:
- 2027-09-30
- Status:
- SIGNED
- Scheme:
- HORIZON-RIA
- Call:
- HORIZON-CL4-2022-HUMAN-02
artificial intelligencesoftware developmentcomputer securitycognitive psychology
View on CORDIS (DOI 10.3030/101120763)
Strategies and Technologies for United and Resilient Critical Infrastructures and Vital Services in Pandemic-Stricken Europe (SUNRISE)
PartnerThe COVID-19 pandemic has highlighted the importance of the continuity of vital services, has shown the need to work together for the common good. It has proven that a pandemic is not only a health crisis and that it does not only disrupt Critical Infrastructures (CIs), but that there is an extremely important link between the resilience of CIs and our societies. The economic crisis caused by the pandemic also provides a unique opportunity to jointly ‘build back better’ with the focus on sustainability and green recovery.
SUNRISE will facilitate active collaboration of CIs across Europe to share best practices and jointly tackle future pandemics. By Q3/2025, this collaboration will result in a new stable working group for resilience to pandemics with at least 100 members.
With a group of 4 CI authorities, 16 CI operators, 3 other CI stakeholders, 4 experts in Social Sciences and Humanities, 2 experts in epidemiology and climate extremes, and 12 security researchers and SW developers, we will: (1) Identify pandemic-specific vital services and CIs, their dependencies, risks, cascading effects, and effective measures to tackle them at European level. (2) Develop a comprehensive strategy (TRL8) and four innovative tools (TRL7) ensuring greater availability, reliability, security, robustness, trustworthiness, cost-effectiveness, climate-friendliness, and continuity of pandemic-specific vital services in Europe: Tools for risk-based access control, resource demand prediction and management, cyber-physical resilience, and remote infrastructure inspection. (3) Pilot the results in operational environments of the CIs while tackling some of their biggest pain points exposed by the current pandemic. (4) Promote our approach across Europe to ensure a united front and resilience of CIs to pandemics.
We will carefully consider legal, ethical, societal, economic, and climate aspects, ensuring that our results address not only the needs of the CIs, but also those of our society.
- EC contribution:
- EUR 293k
- Start:
- 2022-10-01
- End:
- 2025-09-30
- Status:
- SIGNED
- Scheme:
- HORIZON-IA
- Call:
- HORIZON-CL3-2021-INFRA-01
access controlpandemicscoronavirusesclimatic changesmachine learning
View on CORDIS (DOI 10.3030/101073821)
Empowering and Connecting Diverse Communities for Multi-Hazard Resilience with Open Data, Open Models, and Open-Source Software (ECHO)
PartnerAs (peri-)urban areas become increasingly digital, interconnected, and complex, alongside growing threats such as climate change, natural disasters, or cyber-attacks, there is an urgent need to enhance the resilience and security of critical infrastructures (CIs) and the essential services they support. ECHO addresses these challenges by creating a multi-level Resilience Ecosystem that unites CI operators, Emergency Service Providers (ESPs), local/regional authorities (AUTs), and emergency service providers (EMPs) to co-create innovative tools, services, and strategies, for enhanced (urban) resilience planning and management.
ECHO develops an EU-sovereign Knowledge Hub and a suite of interoperable, modular, and cost-effective services, accessible via a centralized Platform. These include tools for threat forecasting, risk assessment, situational awareness, decision support, resilience plan evaluation, and scenario-based simulations, tailored to address diverse multi-hazard threats. Our Information Sharing Protocol ensures cost-effective resource pooling and collaboration, helping smaller municipalities overcome budget constraints. By using cutting-edge technologies such as Generative AI, we enable advanced modelling, forecasting, and decision-making while ensuring transparency and data security.
ECHO operates through 4 pilot sites in Slovenia, Italy, Spain, and the cross-border Italy-Slovenia region, addressing multiple hazards (floods, landslides, drought, earthquakes, wildfires, infrastructure failures, cyber-attacks) and engage diverse stakeholders (AUTs, ESPs, EMPs) to test and validate our solutions in relevant settings, ensuring scalability and adaptability across Europe.
Through comprehensive impact-generation activities, ECHO promotes best practices, empowering stakeholders of all sizes to strengthen the resilience of interconnected systems, enhancing the security and wellbeing of European citizens and communities.
- EC contribution:
- EUR 274k
- Start:
- 2025-10-01
- End:
- 2028-09-30
- Status:
- SIGNED
- Scheme:
- HORIZON-IA
- Call:
- HORIZON-CL3-2024-INFRA-01
artificial intelligencesoftwaresustainability sciencesclimate change adaptationnatural disasters
View on CORDIS (DOI 10.3030/101225575)
Renewable Energy Sources Power FOrecasting and SyNchronisation for Smart GriD NEtworks MaNagemenT (RESPONDENT)
PartnerRenewable Energy Sources Power FOrecasting and SyNchronisation for Smart GriD NEtworks MaNagemenT.
Renewable energy sources (RES) play a major role to the EU’s aspiration to transform to a climate-neutral economy. Their integration into the power grid is pivotal to the green transition and to the decarbonisation of the energy sector. However, as the most commonly used RES (solar, wind and hydropower) are also weather-dependent, their power generation capacity varies according to the local microclimatic conditions. This power production variability makes RES difficult to integrate into the power grid and to provide seamless, stable and secure amounts of power. On the other hand, power demand also affects the power grid operation, since there must always be a supply/demand balance in the power grid. Grid power imbalances can cause frequency fluctuations and other unwanted transient phenomena, which can compromise grid stability and operation. For that matter, advanced grid monitoring techniques have been developed, employing phasor measurement units (PMUs) to measure the electrical signals in a precise and synchronised way, based on a reliable timing reference. Yet, currently, no Galileo-based applications on PMU timing exist.
In the above framework, RESPONDENT comes to address the challenges of RES power generation forecasting, demand forecasting and smart power grid monitoring and supply/demand balancing. An AI/ML RES power generation forecasting algorithm is proposed, exploiting both Copernicus EO and site-specific weather data, along with renewable energy power conversion models. Furthermore, an AI/ML – multiphysics model for power demand of certain communities is also developed. Lastly, RESPONDENT will build a Galileo-enabled PMU and develop a monitoring module, in order to test and verify the advantages offered from the Galileo timing and synchronization services in smart grid monitoring, power balancing and overall operation.
- EC contribution:
- EUR 228k
- Start:
- 2022-11-01
- End:
- 2025-04-30
- Status:
- CLOSED
- Scheme:
- HORIZON-IA
- Call:
- HORIZON-EUSPA-2021-SPACE
solar energyelectric power transmissionmachine learning
View on CORDIS (DOI 10.3030/101082355)