| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | AA | AB | AC | AD | AE | AF | AG | AH | AI | AJ | AK | AL | AM | AN | AO | AP | AQ | AR | AS | AT | AU | AV | AW | AX | AY | AZ | BA | BB | BC | |
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1 | Breakout room | Institution | Researcher(s) | Keywords | Title | Aims&Objectives | Partner Profile Sought | ||||||||||||||||||||||||||||||||||||||||||||||||
2 | SET 1 (11:25-12:15 CEST) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
3 | 1. Advanced microfluidic devices | DCU | David Kinahan | Lab on a Disc, Centrifugal Microfluidics, Point-of-Care diagnostics; wearables | Automation of Biological Assays on Lab-on-a-Disc | Automation of Biological Assays on Lab-on-a-Disc: -Proprietary DCU technology -Translate ‘On-bench’ to ‘On Disc’ -Automate ‘unit operations’ like mixing, metering aliquoting etc. -If you can do it with a pipette, we can do it in a microfluidic device Diagnostic testing of humans, animals and plants. Environmental monitoring. Example assays include -Sample to Answer NAAT (including LAMP, PCR etc) -ELISA Assays -Single-cell analysis and handing In house capabilities -Design and testing -Small scale prototyping -Development of ‘wrap around’ support instrumentation | Collaborating with researchers developing and optimising assays for applications in the field. Platform technology that can be applied to a wide range of application spaces. Application areas of particular interest include: Plant pathogen detection; Avian flu and Swine flu; Sepsis; TB; other infectious diseases; Anti-microbial resistant pathogens | ||||||||||||||||||||||||||||||||||||||||||||||||
4 | DCU | James Landers | pharmacogenomics; sensors; wearable; sports monitoring; disease monitoring | Development and novel applications of point-of-care/wearable genomic and epigenomic devices | We are interested in developing long term collaborations with researchers interested in integrating new capabilities in point of care or wearable biochemical devices, or, in developing new applications for devices particularly using genomic or epigenomic assays Point of care diagnostic devices -Centrifugal microfluidic systems -DNA, SNP or methylation assay development or application -Pharmacogenomics Wearable diagnostic sensors - address key limitations in wearable sensors that include form factor, functionality, cost and manufacturability -roll-to-roll manufacture of sensor and wearable device components | Device development areas -Electrowetting on Device (EWOD) technology -roll-to-roll (R2R) and sheet-to-sheet (S2S) approaches to print monolayer and multilayer devices based on the method of substrate feeding -producing Printed Electronics (Pes) on flexible substrates. -PCR multi-plexing, SNP assay development | |||||||||||||||||||||||||||||||||||||||||||||||||
5 | INSA Toulouse | Marcos Rojas | aerosol particle separation, thermophoresis, microfluidics | Aerosol particles separation by means of a microfluidic thermophoretic device | Motivation : Aerosols with a diameter smaller than 2.5 μm (PM2.5) can penetrate deep into the lungs, leading to respiratory diseases. Several recent studies have found that short- and long-term exposure to specific constituents—such as organic carbon, elemental carbon, sulfate, nitrate, and sulfur—may be associated with increased mortality (more than four million premature deaths per year). Objectives: - A microfluidic separator can be used to measure aerosol concentrations at both the global level (large-scale deployment) and the local level (high spatial resolution). -When produced at large scale, the micro-separator can be cost-effective in terms of material and energy consumption for manufacturing. | Particle Tracking Velocimetry or Particle Image Velocimetry measurements in confined gas flows at the millimetric or micrometric scales in order to follow particle trajectories deviated via thermophoresis. | |||||||||||||||||||||||||||||||||||||||||||||||||
6 | 2. Advanced Recycling Technologies | UAveiro | Felipe Olea/ Nicolas Schaeffer | Hydrometallurgy, recycling, ithium-ion batteries, electrochemistry, closed-loop | Recovery of Critical Minerals via Electrified Battery Recycling | Aim: To develop an electrified, sulfate-based closed-loop hydrometallurgical platform for the selective recovery of critical metals (Li, Ni, Co, Mn) from spent lithium-ion batteries, integrating electrochemical regeneration of acids and bases to mìinimize external reagent consumption and enable sustainable battery-grade recovery Objectives: 1) Integratebipolar membrane electrodialysis (BMED) for internal regeneration of H2SO4 and NaOH, enabling electrolyte recirculation and minimizing net chemical input; 2) Develop selective electrochemical separation routes for Mn, Fe, AI, Ni, and Co through electrooxidation, controlled precipitation, and electrowinning; 3) Assess technical feasibility and environmental performance thtough mass balances, process modelling and life-cycle evaluation | Partners with demonstrated expertise in BMED applied to complex, multicomponent electrolyte streams. Specific areas of expertise include: 1) fundamental understanding of water dissociation mechanisms and ion transport in bipolar membranes, 2) membrane performance under high ionic strength and metal-containing sulfate systems, 3) Fouling, scaling, and long-term membrane stability in industrially relevant environments, 4) Process modeling and scale-up of membrane-based electrochemical systems, 5) integration of membrane technologies into circular or resource recovery processes. The envisioned collaboration includes the exchange of students and researchers, short-term research visits, and joint supervision to strengthen knowledge transfer and capacity building. The Research Lab will also serve as a foundation for developing future joint research proposals in membrane-based electrochemical technologies and circular resource recovery. | ||||||||||||||||||||||||||||||||||||||||||||||||
7 | INSA Lyon | Khalid Lamnawar | Circular economy, polymer upcycling, Dynamic Associative Networks, reactive multilayer co- extrusion, recycled polyesters/polyamides, sustainable functional materials, rheology and dielectric properties, Green Deal, chemical recycling integration. | EcoFUM: Eco-Designed Functional Multilayer Dynamic Associative Networks (DANs) for Circular Upcycling | Aim: Establish a high-impact MSCA DN to pioneer multilayer DAN-based polymer systems from recycled polymers, advancing circular economy principles through innovative processing, fundamental understanding, and application demonstrators, simultaneously, delivering structured doctoral training and societal impact. Objectives: - Develop reactive co-extrusion protocols for in-situ DAN interphase. - Elucidate structure–property–dynamics relationships (rheology in linear and nonlinear regime, relaxation, chain mobility, interfacial polarization). - Prototype multilayer systems for high-value EU-priority applications. - Integrate comprehensive training, including network-wide events on circular design, sustainability assessment, IP/commercialization, and open science practices. - Ensure strong management, dissemination, exploitation, and socio-economic impact evaluation. | Academic/Research Partners (EU-wide, preferably ECIU or aligned networks): Expertise in polymer/organic chemistry, chemical recycling of polymers (e.g., depolymerization, solvolysis, pyrolysis for polyesters/polyamides), advanced modeling, or functional characterization (dielectrics, barrier testing). | |||||||||||||||||||||||||||||||||||||||||||||||||
8 | INSA Toulouse | Bakr Rahmani | Photovoltaic panel recycling; circular economy | Recycling PV panels with high frequency vibration | Separate the layers of PV panels to recycle better every type of materials: 1- Investigate the technical and economic feasibility 2- Reduce the environmental impact of the method 3- Propose a proof of concept | TECHNICAL EXPERTISE: • PV module materials & interfaces • Ultrasound / high-power vibration INDUSTRIAL PARTNERS: • Ultrasound equipment manufacturers • PV module manufacturers STRATEGIC PROFILE: • Experience in EU collaborative projects • Access to pilot lines, • Circular economy expertise, • Interest in low-energy processes | |||||||||||||||||||||||||||||||||||||||||||||||||
9 | 3. Biological Impact Assessment for Human Health | INSA Lyon | Benoît Ter-Ovanessian | Medical devices; implants;AI; manufacturing; materials; biomaterials | Toward more representative methodologies to investigate the ageing of biomaterials and their consequences on human health | develop multidisciplinary methodologies to accurately test new biomaterials, to representatively but artificially ageing materials, and to investigate the consequences of this ageing on human health. | This project is multidisciplinary by essence: it could associate material, biomechanical, biologist computational science researchers, data scientist as well as clinicians. The most important point is that the partners share the idea that the development of new methodologies is required to reduce health issues provoked by the medical devices’ ageing or degradation, including already used biomaterials as well as the development of new materials. | ||||||||||||||||||||||||||||||||||||||||||||||||
10 | DCU | Anne Parle | Nicotine; micronutrients; health; young adults | Vaping (and nicotine products) and their impact on micronutrient status in young adults | DCU Life Sciences Institute has prioritised four Challenge Spaces, two within human health. One of these is ‘Emerging Health Crises’ and we are currently focusing on the rising use of e-Cigarettes (vapes) and other nicotine products such as pouches among Europe populations, particularly in young adults. Overarching Aim: To gather evidence of the effects of vaping and alternative nicotine products at the biological level. Overall DCU Objective: Assessment of the impact of high nicotine intake on circulating essential micronutrients. Primary Objective: Focus on B-vitamins, Folate and B12. Assessment of B-vitamin status in a cohort of young adults correlated with cotinine levels and questionnaire data. | Expertise in other micronutrients (apart from B vitamins) and/or Nutrition expert. Human sample collection and processing. Open to complementary expertise to examine any aspect of the biological effects of high nicotine exposure. | |||||||||||||||||||||||||||||||||||||||||||||||||
11 | 4. Data-driven public health responses | UAB and TEC | Irene Gomez (UAB) and Ana Yael Vanoye García (TEC) | health capability, heat waves, gender, public health policies, climate justice, adaptation, equity, sustainability | Heat waves and health capability | Aim: Develop a normative and quantitative analysis to establish adaptative measures and loss and damage responsibilities considering the impact of climate change on health capability. Objectives: 1. Establish a partner contribution – transnational consortium UAB – Spain / Tec. de Monterrey – Mexico, with other institutions (Monterrey as a living lab for extreme heat and inequality (case study + stakeholders) // Barcelona as a Think Tank working on ethics and politics of public health), 2. Build a regulatory interdisciplinary framework to quantitively assess heat waves related to anthropogenic climate change on health capability (vulnerability/exposure indicators + scenarios) , 3. Study adaptation measures to prevent and improve /evaluation of adaptation options with equity + feasibility (MCDA), 4. Sustainability check: LCA/carbon footprint to avoid maladaptation, 5. Apply a gender perspective /women's health capability, 6. Construct a reflexive approach in dialogue with public health researchers, women's organisations, and community representatives, 7. Offer guidelines for a public health program on adaptation and compensation for losses and damages with a view on social justice | Partners working on: - The relation between public health and climate change - Epidemiology / causal inference (heat-health impacts, vulnerability indices, modelling) - Quality research studies with a gender perspective - Climate ethics with a focus on mitigation, adaptation, L&D (Losses and Damages) - Heat-health early warning systems and public health preparedness We have: 1. A network built with some different research groups and projects:POyETICAS: “Politics and Ethics of Public Health” (UAB) funded by the Ministry of Science, Innovation, and Universities of Spain, Research Group GEHUCT (Humanistic Studies Group on Science and Technology), LIBERESP: Ibero-American Laboratory of Ethics and Public Health (623RT0148) – CYTED 2. Access to living-labs for extreme heat and inequality case studies 3. Support for training and dissemination activities | ||||||||||||||||||||||||||||||||||||||||||||||||
12 | UAveiro | Hélder Relvas | Respiratory admissions, forecasting, machine learning, air pollution, environmental health, early warning systems, explainable AI, digital health, Europe, predictive modelling. | AVANGARD project | The AVANGARD project develops an advanced, scalable online tool to predict respiratory hospital admissions across Europe, supporting proactive resource management and public health preparedness. It aims to create a data-driven predictive framework integrating environmental, meteorological, and health data. Key objectives include: - Build robust machine learning models for respiratory admissions. - Assess the impact of air pollution and weather on hospital demand. - Create an interoperable, user-friendly online decision-support tool. - Ensure model generalization across regions and hospitals. - Incorporate explainable AI for transparency and trust. - Validate predictive performance through real-world hospital case studies. - Provide short-term early warnings for hospital capacity planning. Research questions: Can environmental and meteorological data improve predictions? Which ML methods balance accuracy, robustness, and transferability? How to quantify and communicate predictive uncertainty? What is the operational value of early warnings for hospital management? | Potential partners: Environmental Engineers – Experts in air quality, pollution assessment, and environmental monitoring Data Scientists & Machine Learning Experts – Skilled in predictive modelling, explainable AI, and data integration. Healthcare Providers / Hospitals – Partners with access to hospital admission data and operational insights. Digital Health & IT Specialists – Developers of user-friendly, scalable online platforms for decision support. | |||||||||||||||||||||||||||||||||||||||||||||||||
13 | KTU | Daina Gudoniene | Ageing; demographics; AI; robotics; healthcare | AI-CARE: Human-Centered AI and Robotic Ecosystems for Active and Dignified Ageing | Project Aim: AI-CARE aims to develop and validate an integrated, human-centered artificial intelligence and robotics ecosystem to enhance the well-being, autonomy, and social inclusion of older adults, while supporting sustainable health and social care systems across Europe. Objectives: To design and develop trustworthy, explainable, and ethically compliant AI solutions for early detection of physical, cognitive, and emotional decline in older adults; - To create adaptive assistive robotic systems that support daily living activities, mobility, medication management, and social interaction at home and in community care settings; - To integrate multimodal data (wearables, smart home sensors, health records) into a secure digital platform ensuring privacy-by-design and GDPR compliance; - To pilot and validate the AI-robotics ecosystem in diverse European socio-economic contexts, assessing impact on quality of life, independence, and healthcare resource efficiency.; - To co-create solutions with older adults, caregivers, healthcare professionals, and policymakers, ensuring inclusiveness, accessibility, and gender-sensitive design.; - To develop policy recommendations and scalable business models supporting long-term sustainability and market uptake in line with Horizon Europe’s digital, health, and societal transformation goals. Result: prototype | Partners in Health care Partners in Computer science Partners psychologists | |||||||||||||||||||||||||||||||||||||||||||||||||
14 | 5. Digital humanities | UAveiro | Luís Seabra Lopes | Ancient geographical texts, digital transformation, computing, Artificial Intelligence (AI), geographical information systems (GIS) | Making sense of ancient geographical data through computing and AI | Ancient geographical texts such as Ptolemy’s Geography or Antonine’s Itinerary provide huge amounts of geographical data (names of locations, their coordinates, and/or distances between locations) that are highly relevant to historical geography. However, some of the locations have lost their ancient names, and numerical data is affected by errors accumulated in textual transmission from the original sources, especially in ancient and medieval times. The interpretation of these sources relies largely on cross-checking different sources, e.g. Ptolemy’s coordinates with Antonine’s distances, taking into account archeological data. The main objectives of this project are to: 1) Build upon existing digital resources and databases of the ancient world to establish a data infrastructure that facilitates automated data analysis, exploration and visualization; 2) Explore different AI techniques and algorithms do find hidden relations in the data in different sources and textual traditions; 3) Trace the origins of the data and identify transmission errors in different textual traditions. | Partners covering two very different areas of knowledge: - Computer science and AI as core technologies; - Historical geography of the ancient world The proposer is professor and researcher in artificial intelligence at the University of Aveiro. In a parallel track, he is also a researcher in history/archeology with published works involving the use and interpretation of ancient geographical sources. | ||||||||||||||||||||||||||||||||||||||||||||||||
15 | DCU | Brad Anderson | Sacred texts; religious studies; digital texts; digital transformation | Digital Sacred Texts: Digital Transformation in Religious Contexts | This project explores the shift to digital culture in religious communities. Empirical research will examine how different geographical areas, cultures, and religious traditions are adapting to the rise of digital culture, specifically in relation to the digitisation of sacred texts or scriptures. I have developed a potential project in relation to Ireland, and would be interested in partnerships and a potential Horizon Europe application. | Interested in academic partners willing to explore the rise of digital sacred texts in countries outside of Ireland, and ideally in diverse religious traditions beyond Christianity. Expertise in digital transformation, religious studies or theology, anthropology/sociology, or qualitative research approaches would be useful. | |||||||||||||||||||||||||||||||||||||||||||||||||
16 | INSA Lyon | Diana Nurbakova | Handwritten Text Recognition, Historical Document Analysis, Knowledge Graphs, Natural Language Querying, Digital Humanities, Cultural Heritage Digitisation | ArchivAI: Unlocking Hidden Knowledge from Historical Handwritten Archives through AI | Main aim: making vast collections of historical handwritten documents searchable and analyzable at scale Research questions:�RQ1. How can HTR models trained on one type of historical document (e.g., French military registers) be effectively transferred to other document types, languages, and periods with minimal re-annotation? RQ2. How can natural language querying interfaces enable historians and non-technical users to perform complex analytical investigations (genealogical reconstruction, migration analysis, demographic trends) over extracted archival data? RQ3. What architectures best support both precise factual queries and exploratory sensemaking across large-scale historical corpora? | Expertise in: historical document analysis and digital humanities; knowledge graph engineering and semantic web technologies; computer vision for document layout analysis; computational linguistics for historical European languages | |||||||||||||||||||||||||||||||||||||||||||||||||
17 | 6. Edge AI | DCU | Hossein Javidnia | Privacy-preserving AI, Digital Biomarkers, Rehabilitation, Edge Computing, Computer Vision, GDPR-compliance, Active Ageing, Falls Prevention. | Sensing Without Surveillance: Privacy-preserving digital mobility biomarkers for personalised rehabilitation | The Problem: Mobility decline and falls are major drivers of loss of independence in ageing and neurological conditions (Stroke/Parkinson’s). Current clinical assessments are episodic, subjective, and often fail to capture real-world decline. Home monitoring is the solution, but traditional cameras (RGB) intrude on privacy, creating a barrier to adoption. Research Question: How can we leverage high-fidelity Computer Vision (Depth + Event cameras) and Edge AI to measure clinical-grade mobility biomarkers without capturing identifiable video or transmitting sensitive data to the cloud? Objectives: Develop: A multi-modal privacy-by-design sensing platform (Event cameras + Depth + IMUs) that processes data locally, Validate: Create interpretable "Digital Biomarkers" (stability, symmetry, gait velocity) that correlate with gold-standard clinical scales., Trust: Implement "uncertainty-aware" algorithms that know when to abstain from making a prediction if data quality is low (e.g., occlusion). | Clinical Partners / University Hospitals: Access to patient cohorts (Older Adults, Stroke, or Parkinson’s) to validate our biomarkers in different EU healthcare settings. Social Sciences & Ethics: Partners to study patient acceptance, trust in AI, and ELSI (Ethical, Legal, and Social Implications) of home monitoring. Cybersecurity/Data Governance: Experts in secure data infrastructure to complement our Edge-AI approach. Desired Consortium: We specifically seek partners with "Living Labs" or strong connections to community rehabilitation centers. Partners interested in submitting to Horizon Europe 2027 calls regarding "Trustworthy AI," "Active Assisted Living," or "Digital Health." | ||||||||||||||||||||||||||||||||||||||||||||||||
18 | INSA Lyon | Stefan Duffner | AI; edge devices | Embedded and sovereign AI | • Develop new learning algorithms and ML models to run on (low-resource) edge devices • Distributed and privacy-preserving ML • Continual and collaborative on-device learning • Local training and inference of personalised models • The user keeps control (over data and models) • Custom/specialised hardware (FPGA, microcontrollers) or smartphones • Devices equipped with sensors: Microphones (e.g. bioacoustic monitoring), cameras (e.g. RGB or event-based), Inertial sensors (e.g. accelerometers), Medical sensors (e.g. electrodes) | Partners working in a domain that can benefit from embedded, sovereign, privacy-preserving Al with a relevant societal and environmental impact, e.g. Monitoring of biodiversity, Health monitoring, Robotics or autonomous systems, Energy supply or energy optimisations, Transportation systems or traffic monitoring Other needed expertise: hardware design and prototyping | |||||||||||||||||||||||||||||||||||||||||||||||||
19 | KTU | Simas Račkauskas | Neuromorphic hardware, ZnO nanowires, disordered/percolative networks, in-memory computing, edge AI, low-power signal processing, plasticity, reservoir computing, event-driven. | ZnO nanowire network for neuromorphic computing | Aim / Research problem: Modern AI computing is becoming increasingly energy-hungry and difficult to deploy at the edge (sensors, autonomous systems, always-on signal processing). This project aims to develop a ZnO nanowire (NW) network–based neuromorphic node (disordered/percolative network) capable of in-memory / event-driven computing with low energy consumption. Main objectives: Engineer ZnO nanowire networks (near the percolation regime) to enable neuromorphic functionality., Investigate and control collective switching / plasticity (adaptive conductive pathways, synapse-like behavior, in-situ learning). Develop programming and readout protocols: pulsed stimulation, conductance-state retention, stability, noise tolerance, Demonstrate a practical task (e.g., sensor-signal classification, time-series prediction, anomaly detection) in an edge-like scenario, Perform benchmarking: energy per inference, latency, accuracy, scalability (multi-terminal operation, network-to-network variability). | Advanced characterization: TEM, AFM/KPFM, Raman/PL, surface chemistry/defects; long-term reliability testing. Neuromorphic algorithms & benchmarking: reservoir/spiking/in-memory methods, energy-aware metrics, hardware-aware training and evaluation. Application/use-case partner: access to real sensor data and a realistic demonstrator scenario (mobility, industry, environment, health). | |||||||||||||||||||||||||||||||||||||||||||||||||
20 | 7. Innovative therapeutic approaches | DCU | Darren Fayne | drug design, CADD, hit discovery, unmet medical need, disease | Discovery of potential therapeutics | Aims: (1) Decide on a disease that is of interest to both the collaborator and me. (2) Undertake a computer-aided drug design (CADD) campaign to discover small molecule modulators of protein activity, purchase/synthesise compounds and complete initial in vitro assays Objective: To discover novel compounds with the potential to treat disease. | Academic expertise: biology team working on disease mechanisms and thinking about drug discovery. Chemistry team with novel small molecules with an interest in target finding and/or drug discovery Industrial partners: Biotech/biopharma looking to augment in-house R&D with external expertise in CADD, hit finding and hit-to-lead progression Consortium characteristics: Balanced mix computational design, medicinal chemistry expertise, biological mechanistic evaluation, focused on a disease with a clear unmet medical need. | ||||||||||||||||||||||||||||||||||||||||||||||||
21 | KTU | Vytautas Ostasevicius | Ultrasound; Hemodynamics; biotech; medical equipment; healthcare; diagnostics | Non-invasive hemodynamic activation | Aim: Sertification of low-frequency ultrasound equipment to activate hemodynamics and exert mechanical effects on biological tissues and research. Objectives: Non-invasive pulmonary hypertension therapy; Drug encapsulation in erythrocytes; Biofilm and heart valve plaque removal; Tumor treatment; Stroke prevention; Diabetic foot therapy. | Collaborators with experience in cardiovascular disease therapy, we provide technical capabilities in treating tumors, stroke, disrupting biofilms and heart valve plaques, encapsulating drugs in erythrocytes. We are looking to join consortia as partners (not coordinators). Looking for an SME, which would like to contribute to the commercialization of a low-frequency transducer for blood circulation stimulation. We can contribute to: • Real-world validation of cardiovascular innovations • Science and scaling of emergency care innovations • Clinical pilot projects in pre-hospital and hospital | |||||||||||||||||||||||||||||||||||||||||||||||||
22 | UniTrento | Simona Casarosa | AMD, tear proteomics, biomarkers, disease stratification, anti-VEGF response, translational ophthalmology | Tear-Based Biomarker Platform for Precision AMD Care | Aim: to identify tear film proteomic signatures associated with different forms and stages of age-related macular degeneration (AMD). Can tear fluid non-invasively reflect key disease mechanisms (inflammation, oxidative stress, autophagy dysregulation) and distinguish between dry AMD and treatment-responsive stages of wet AMD? | - an ophthalmology clinician with access to well-characterized AMD patient cohorts and expertise in standardized tear collection and clinical phenotyping; - a bioinformatician experienced in proteomics, omics integration, and biomarker discovery is also required Partners with a strong translational focus and interest in clinical implementation are particularly welcome | |||||||||||||||||||||||||||||||||||||||||||||||||
23 | 8. Marketing and Consumer Behaviour | KTU | Rita Markauskaite | Sustainability; consumers; well-being; marketing | Sustainable consumer well-being | Aim - to explore the antecedents and concequences of sustainable consumer wellbeing. Objectives: To theoretically substantiate the possible antecedents and concequences of sustainable consumer well-being. To develop a conceptual model, based on theoretical studies, encompassing sustainable consumer well-being and its antecedents and consequences. To design a research methodology for investigating the antecedents and consequences of sustainable consumer well-being. To empirically examine the antecedents and consequences of sustainable consumer well-being. To summarise the research findings by identifying the applicability of the conceptual model, directions for further research, and study limitations | Researchers with expertise in these areas: Consumer well-being and sustainability research Quantitative research methods (PLS-SEM) Consumer psychology and value-based behaviour Cross-cultural research in sustainable consumption | ||||||||||||||||||||||||||||||||||||||||||||||||
24 | DCU | Denise Proudfoot | E-CIGARETTE, VAPES, NICOTINE POUCHES,SOCIAL MEDIA PLATFORMS | An analysis of the impact of young people ‘s engagement with social media content related to E-cigarettes ( vapes) and nicotine pouches. | An emerging public health concern is the increased use by young people of nicotine products of e-cigarettes and nicotine pouches. The WHO is concerned at the increased use, aggressive marketing and availability of e-cigarettes/nicotine pouches to young people. This is a research priority, given the potential lifelong consequences of these behaviours for young people who develop nicotine dependence. High rates of recreational use in young people may be related to strong product marketing, low cost (compared to cigarettes) and ease of availability of these products. Currently little evidence exists about the role digital marketing and social media content has in influencing uptake and use of these products. Aim: To explore young people’s awareness of, and engagement with marketing and content on social media related to nicotine products i.e. e-cigarettes ( vapes ) and nicotine pouches. Objectives: How do young people engage with marketing and content about nicotine products on social media? Exploring if this marketing influences whether they use these products, or what they think of them? Assess the role influencer/celebrity endorsement has in their uptake of nicotine products. | Partners sought from any country or institution that has experience in or interest in how social media content/engagement can influence health behaviours with a specific focus on nicotine use and young people. Partners are sought for colleagues with experience in developing proposals that examine social media use and its impact on health intentions and behaviours from any country or institution Open to collaborate with interdisciplinary scholars with both quantitative and qualitative research skill particularly with marketing/health behaviour knowledge. | |||||||||||||||||||||||||||||||||||||||||||||||||
25 | DCU | Yuhui Gao and Anne Matthews | breastfeeding, marketing, social marketing, health | Social marketing for successful breastfeeding | Ireland has one of the lowest breastfeeding rates in the world, with only 36.8% of babies born in 2021 still exclusively infant-fed by day three of their lives (WBTi, 2023). Commercial milk formula (CMF) companies use a range of marketing tactics to engage women via online and offline platforms. These marketing tactics have been found to be pervasive, personalized and powerful but also to use distorted science to manipulate and exploit mothers’ anxieties, undermining their confidence in breastfeeding To address this problem, we will explore social marketing strategies and tactics to promote and support breastfeeding. | Partners with interests and professional backgrounds in a variety of relevant disciplines: Midwifery, nursing, public health, policy analysis, Marketing, Communications Partners from countries with better breastfeeding rates than Ireland, with different legislative and policy contexts, for comparative purposes; policies and legislation can also be compared within countries with similar/ worse BF rates too | |||||||||||||||||||||||||||||||||||||||||||||||||
26 | 9. Mobility analytics | TUL (with UAB, UAveiro,UT) | Barbara Galinska | ageing mobility, road safety, inclusive transport, cognitive accessibility, psychomotor limitations, mobility equity, resilient communities, sustainable mobility, European transport systems. | Transition for Mobility of an Ageing Population: Towards a Safe, Inclusive, and Resilient Society | The research idea aims to establish an interdisciplinary and international network focused on improving road safety and mobility for ageing populations across Europe, responding to demographic change and the growing participation of older adults in transport systems. Its objectives include: identifying psychomotor, cognitive, regulatory, and social barriers to mobility, developing a structured research framework, generating evidence-based, inclusive solutions that support safe, resilient, and equitable transport systems. Expected outcomes: safe and inclusive mobility resilient transport systems enhanced social participation reduced social isolation among older citizens | Additional partners with complementary expertise that strengthens the interdisciplinary scope of ageing mobility research. In particular, the project would benefit from institutions specializing in gerontology, cognitive psychology, human factors, digital health, assistive technologies, urban planning, and advanced data analytics for transport systems. | ||||||||||||||||||||||||||||||||||||||||||||||||
27 | UAB | Javier Asensio and Anna Matas | Long-distance bus liberalisation | Long-distance bus markets in Europe | Given the absence of a comparable Europe-wide dataset of long-distance bus operations and regulations, this project provide the quantitative basis necessary to carry out an economic and institutional analysis of the framework under which long-distance bus systems operate. The proposed research plan would consist in the following actions, carried out at the national level by each partner: Identifying a set of long-distance bus routes, of different character (between large cities, dense corridors, rural connections, peripheral, …) Collecting available time series data related to each route (population, prices, frequencies, demand, employment, subsidies, …) Identifying the relevant institutional and regulatory changes that affect bus provision (entry regime, access to terminals, subsidies, financing, …) as well as related business strategies (entry and exit, mergers, firms’ agreements & coordination schemes, route networks, organisation, investment & electrification, …) Compare the relative merits of different institutional regimes, including their redistributive impacts at the personal and regional (spatial) level, territorial accessibility or overall welfare effects. | ECIU partners that can contribute to the design of a common work plan, involving data collection, descriptive analysis of the institutional and political setting, with eventual further work in modelling. Ideal partners would belong to departments of economics and be specialised in transport research, but we are open to researchers in regional science, economic geography or industrial organisation who share a focus on empirical economic analysis.Also members from departments of law, sociology, political science, geography or transport engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||
28 | UIS | Leander Jehl | Maritime traffic; data management; | Living Vessel Record | Documentation, logbooks and inspection systemsfor international Vessels poses unique challenges. Novel holder centric credential models are suited to address vessel challenges. Identify unique use case challenges Create extended credential models for more complex interactions Design and validate prototypes | Relevant Fields: •Maritime asset management •Maritime data systems •Data management systems •Certification and identity management systems Looking especially for collaborators from Portugal, due to the possibility to apply for EEG funding. | |||||||||||||||||||||||||||||||||||||||||||||||||
29 | 10. Pedagogy | LiU | Wanjun Chu, Blomqvist | Education; robotics; STEM: technological literacy | Robot Educational Platform AIDA | Current STEM education needs to extend beyond teaching students' basic technological literacy. Previous research shows that robots can not only help students develop deeper interests in STEM, but also enable teachers to engage learners in understanding societal aspects of STEM. However, many studies pointed out that it is very difficult for teachers to include robotics in regular curriculum. Over the past three years, we have developed AIDA, an entry-level and modular pedagogical robot platform designed for STEM education for K9 students and teachers. Building upon this platform, we aim to explore how teachers can leverage educational robot platforms to guide K9 students in developing STEM interests, while engage students in making connections between the social and technical aspects of STEM. | We are looking for people (both academics and industry practitioners) who have expertise in: Robotics; Pedagogical science; Product and interaction design research | ||||||||||||||||||||||||||||||||||||||||||||||||
30 | DCU | Yalemisew Abgaz | Assessment, Formative Assessment, Active Learning, Universal Design for Learning, Asynchronous Learning. | FACCtS: Formative Assessments Co-created with Students | Students remain consumers of assessment rather than active participants in knowledge construction. There is no scalable framework for meaningful student co-creation of formative assessment in large classes. In such environments, students lack ownership, agency, and metacognition being passive consumers than active participants in their learning. Research Question: How can we expand FACCtS into higher education teaching, learning, and assessment and how do we evaluate its effectiveness in improving students learning experience. Objectives:- Formally develop the FACCtS Framework and its implementation, and tools to support the smooth and efficient implementation. - Evaluate the impact of FACCtS integration on the learning experience of students. - Disseminate FACCtS framework to enhance inclusive, transformative, and universal design-based learning | We are looking for: Universities/Departments/Programs: Program chairs and module coordinators teaching large cohort of students in asynchronous environments Educational Technology Providers: Industry partners who are interested in the application of sophisticated educational technologies including GenAI to improve learning experience of students. Professors: Experts in teaching and research in higher education sector. Desired Consortium: We look for partners who are involved in teaching in higher education institutions that involve in curriculum design and online learning for large classes. Industry partners who are interested in the application of AI in education. | |||||||||||||||||||||||||||||||||||||||||||||||||
31 | DCU | Malcolm Brady | generative AI, primary school level, learning | Generative AI and the young generation - learning to use genAI tools at primary level | Generative AI tools are widely used by third level students. Faculty are struggling with the advent of generative AI tools. Second level students are also using generative AI tools. Primary school pupils are starting to use generative AI tools. This research project proposes to examine the use of generative AI tools at primary level. It aims to determine what is good practice at primary level with respect to use of generative AI tools. It aims to inculcate good genAI skills at primary level that will stand students in good stead as they progress through the school system. The project will focus on primary school teachers as they are the ones who will transmit the learning to primary school pupils. | Partners sought from any country or institution that has experiencein or interest in the use of genAI at primary school level. Partners sought from any country or institution that is interested in examining the use of genAI in student learning. Partners sought from any country or institution that is interested in the implications of generative AI on students’ and pupils’ ability to read, write and think. | |||||||||||||||||||||||||||||||||||||||||||||||||
32 | 11. Smart Manufacturing | UT | Aswin Balasubramaniam Sebastian Piest | Human‑centred decision making; human augmentation; co‑design; smart logistics; mixed‑reality demonstrators; digital twins; Industry 5.0 | Human Centred Decision Making to Augment Smart Logistics Operations | Overarching Aim: Investigate, develop, implement, and validate human‑centred decision‑making tools that support human–system collaboration and augment work practices in smart logistics settings, in line with Industry 5.0 principles of human‑centric, resilient, and sustainable industry. Objective 1: Investigate opportunities to where decision‑making systems can augment, rather than replace, humans in the loop in logistics operations. Objective 1.1: Use co‑design and design‑thinking with logistics companies/SMEs and front‑line workers to investigate/understand requirements and (re)design methods that support this process. Objective 3: Build and develop miniaturized and mixed‑reality demonstrators and digital twins of logistics scenarios to rapidly test and refine concepts Objective 4: Validate designs in real settings using metrics that capture worker well‑being, resilience, error rates, and acceptance etc. | We are open to collaborating with universities abroad and tech providers that are working on smart logistics in the context of Industry 5.0. Given the current idea, we are looking for partners who complement our HCI, design‑science, and operations research expertise: - Companies/SMEs in logistics, warehousing, transport, or manufacturing willing to co‑design solutions, host pilots, and support student projects and case studies; - User behaviour modelling: modelling cognitive load, error patterns, trust, and adoption of decision‑support systems in logistics contexts (or willing to adapt it to logistics contexts); - Ethical implementation of technology: responsible AI/automation, organisational change, and governance of human‑centric Industry 5.0 systems; - Industrial communication protocols: expertise in integrating decision‑support and digital twins with warehouse control systems, MES, and other industrial IT/OT; - VR/AR and mixed‑reality developers with experience in industrial training, digital twins, and simulation of logistics processes. | ||||||||||||||||||||||||||||||||||||||||||||||||
33 | INSA Toulouse | Anna-Carla Araujo | smart machining and manufacturing; | A new horizon for manufacturing : changes on research installation for Smart Machining experiments | Key Idea: Connecting scientific challenges in machining with technological infrastructure and industrial needs 1) Adapting Experimental Data Acquisition: Use of low-cost industrial sensors to complement high-precision laboratory measurements; Sensor fusion to ensure reliable data despite lower sensor accuracy; Long-term process data acquisition for industrially relevant datasets; 2) Data Infrastructure for Manufacturing Research: Data fusion and standardization of heterogeneous machining data; Shared experimental data repositories for researchers; Enabling data-driven and machine-learning approaches 3) Evolution of Experimental Platforms in the laboratories: Improved communication with CNC machines, Instrumented machine tools for real-time monitoring; Smart experimental testbeds for machining research 4) Human-Centered and Interdisciplinary Skills: Strengthening data science and machine-learning skills in manufacturing research, Combining sensor engineering, automation, and materials/process knowledge; and Building interdisciplinary research teams for smart manufacturing | - Computer Science and Data Science: Machine learning, data fusion, large-scale data management) - Instrumentation and Sensor Engineering: Researchers working with low-cost sensors, embedded sensing systems, signal processing - Communication, Network and Industrial IoT: Machine connectivity, specially as in CNC communication (Snap7, OPC-UA, MQTT) and industrial data architectures - Control and Automation: Process control, adaptive machining systems, cyber-physical manufacturing systems - Human and Social Sciences: Psychologists or ergonomics specialists studying human adaptation to the digital transformation, skills evolution, and acceptance of smart manufacturing technologies | |||||||||||||||||||||||||||||||||||||||||||||||||
34 | UT | Sri Kolla | Virtual AI Agents, Embodied AI Agents, Industry 5.0, Cyber-Physical Systems, Digital Twins, Humanoid Robots, Cobots | Virtual & Embodied AI agents in Manufacturing | Aim: To explore, develop, implement, and validate a unified framework for deploying virtual AI agents (software-based cognitive agents) and embodied AI agents (physically agents such as collaborative robots, AMRs, humanoids etc.) to improve productivity, flexibility, resilience, and human–machine collaboration in manufacturing environments. Obj.1: Explore manufacturing use cases where virtual and embodies AI agents provide measurable advantages (e.g., quality management, decision-making, KPI monitoring etc.) Obj.2: Develop and implement the virtual & embodied AI agents for the manufacturing cases identified in Obj.1 Obj.3: Validate multi-agent systems for safe human-robot collaboration and scalability in real-world manufacturing pilots Obj.4: Validate performance gains through deployment in real manufacturing settings. | We are looking for partners with the following profiles: - AI & ML developers - Industrial communication standards (OPC UA, MQTT etc.) - Expertise within technology integration - Manufacturing SMEs that are interested in virtual and embodied AI agents in their operations | |||||||||||||||||||||||||||||||||||||||||||||||||
36 | SET 2 (12:20-13:10 CEST) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
37 | 12. Advanced thermal management | UT | Keerthivasan Rajamani | Magnetocaloric Heat Pumps • Liquid Metal Heat Transfer • Gallium-Indium-Tin Alloys • Materials Compatibility • Sustainable Heating • Energy Efficiency | Liquid Metal Heat Transfer Fluids for Magnetocaloric Heat Pumps | Research Question: How do room-temperature liquid metals interact with magnetocaloric materials to enhance heat transfer efficiency in next-generation heat pump systems? Problem: Many European households depend on natural gas. Current vapor compression heat pumps have limited efficiency improvement potential. Magnetocaloric heat pumps can achieve 60% Carnot efficiency but are too costly. Solution: Use Ga-In-Sn liquid metal alloys as heat transfer fluids to improve efficiency and reduce costs. | Seeking collaborators with expertise in: - Chemistry or materials science (material interactions, corrosion, surface science); - Magnetism and magnetic materials (magnetocaloric effects, characterization); - Thermal engineering and heat transfer; - Computational materials science and modeling Open to interdisciplinary collaboration from researchers across Europe and beyond interested in sustainable heating technologies. | ||||||||||||||||||||||||||||||||||||||||||||||||
38 | INSA Toulouse | Stéphane Ginestet | energy storage, cementitious materials, prototype, material characterisation, modelling | Thermal Energy Storage using cementitious materials | Further explore thermochemical storage, which allows for greater energy density but which currently has significant limitations | Expertise in modelling of porous media, in PCMs to study their potential interest when coupling with thermochemical storage Availabity of test building and/or HVAC system Expertise in LCA | |||||||||||||||||||||||||||||||||||||||||||||||||
39 | UAveiro | Romeu Vicente, Filipe Rebelo, Marcelo Langner | Energy Efficiency; Thermal Performance; Building Envelope; Biomimetic Geometry; Phase Change Materials; Generative Design; Optimization. | Nature inspired biomimetic design for PCM-integrated building envelope system | Problem: Two major challenges that limit the effectiveness of PCM-integrated building envelopes are: ensuring complete PCM mobilization under real operating conditions; and transferring the stored thermal energy from the exterior to the indoor environment without compromising the envelope’s thermal transmittance. Addressing these constraints without relying on significant auxiliary energy input remains critical, motivating predominantly passive solutions that leverage PCM thermal properties and optimize the geometry and placement of PCM containers within the building envelope. Research Question: To what extent can an optimized nature-inspired biomimetic vascular-like PCM distribution and heat-transfer pathway enhance PCM activation and promote controlled delivery of stored thermal energy between environments without relying on auxiliary energy input? Objectives: Design and optimise a biomimetic PCM container to maximise effective heat-exchange area and incorporation content. Develop a passive mechanism for controlled direction-selective delivery of the stored heat between environments. Integrate the biomimetic PCM module into a low thermal inertia wall assembly for zero energy consumption buildings. Quantify performance impact against conventional PCM envelope solutions. | Partners with expertise: for translating biomimetic concepts into buildable modular prototypes – 3D printing; optimisation of thermal properties of phase change materials; parametric/generative design and multi-objective optimisation algorithms for biomimetic geometry; | |||||||||||||||||||||||||||||||||||||||||||||||||
40 | KTU | Audrius Jutas | neighboring space, Synchronization of physical quantities | The Unity of Space-Time | Aim: Develop a unified paradigm based on a philosophy of spacetime and the transcendental formula*, which can be universally applied to study the functions of states, their energies and various physical phenomena, considering the co-variance**, coherence and range of any space and time scales and when the intensity of the manifestation of that physical phenomenon and the velocity of transfer processes are limited by a certain neighboring hierarchical sequence *In many cases, the paradigmatic assumptions used have been found to allow the application of the transcendental formula to experiments with crystalline materials, and in some cases to a graphical representation of the structure of the universe, which is identical in form to one mole of matter. ** distance and time co-vary (both change/bend differently) according to certain unified nonlinear law from scale to scale. | Mathematicians who are interested in mathematical description of wave function properties; application of the law of large numbers to space-time components N>1E+80. Physicists experienced in analysis of Time-dependent Schrödinger equation; black body thermodynamics; electromagnetism. | |||||||||||||||||||||||||||||||||||||||||||||||||
41 | 13. Circular economy | TUL | Urszula Dziekońska | circular bioeconomy, cascade biorefinery, lignocellulosic biomass, green extraction, fermentation, C5/C6 sugars, LCA, TEA, regional bioeconomy | BIOCASCADE LAB Integrated Circular Biorefinery Systems for Regional Agri-Food Residues | To develop interdisciplinary, cascade-based valorisation strategies for agri-food residues, integrating extraction, bioconversion and sustainability assessment into scalable circular biorefinery models adaptable to different ECIU regions. | Green extraction and fractionation technologies Recovery and characterisation of plant-derived compounds (lignin, tannins, pigments, oils, fibres) Advanced analytical techniques Life Cycle Assessment (LCA) and Techno-Economic Analysis (TEA) Circular business modelling and regional implementation strategies | ||||||||||||||||||||||||||||||||||||||||||||||||
42 | TAU | Alireza Safarpour | Circular economy; industrial ecosystems; AI-enabled data; governance; policy instruments; circular value chains. | AI-enabled governance mechanisms for circular economy transitions in industrial ecosystems | Aim: This research aims to examine how circular economy transitions in industrial ecosystems are shaped through the interaction of government interventions, AI-enabled life-cycle data practices, and institutional capacity building. Research questions How do government interventions influence circular economy transitions across industrial ecosystems? How can AI-enabled life-cycle data practices support circularity, traceability, and resource efficiency? How do governance mechanisms, digital technologies, and institutional capacity interact to enable or constrain circular economy implementation? | Researchers in circular economy and industrial symbiosis Researchers in AI (or any of digital twins, lifecycle assessment, blockchain, and digital product passports) Researchers in public policy, sustainability governance, and regulatory design Industry or municipal partners piloting circular procurement or digital material tracking systems (for case study) The framework is industry-neutral and open to multiple sectoral applications, with construction as the initial test case. | |||||||||||||||||||||||||||||||||||||||||||||||||
43 | UniTrento TAU | Gianluca Maracchini Juha Fransilla Antti Kurvinen | Circular construction, circularity assessment, LCA, end-of-life scenarios, reuse potential, design-for-disassembly indicators, procurement, EU Taxonomy | BuildInCircle | Aim This research initiative aims to bridge scalable best practices identified in ongoing and completed EU-funded projects (e.g., ARV, CircBuild, ReCreate, CIRCuIT, ECOFUNC, WOODCIRCLES, CIRCBUILT) with specific industry-level goals. By measuring and quantifying the impacts of circular strategies for real estate clients and property owners in different contexts, the research seeks to support broader industry transformation at the European level. | Required expertise: - LCA modelling - Circular construction practice - BIM / asset information & data interoperability - Industry and owner connections (real estate owners, housing providers, municipalities) to secure pilot case studies and data access - Procurement / policy insight (EU Taxonomy alignment, public procurement criteria) - Regenerative construction principles | |||||||||||||||||||||||||||||||||||||||||||||||||
44 | LiU | Marcus Gustafsson | Bioeconomy, sustainability, resilience, societal impact, climate change mitigation, scenario analysis, CO₂ utilization | Bioecotopia – realization and implications of a biobased European economy | Aim: The idea of a bioeconomy – a society based on renewable and biological resources – holds great promise of sustainability and resilience. However, many questions remain to be answered: What would a bioeconomy look like? How do we get there?What are the implications for society? Different pathways toward a bioeconomy are likely to entail conflicts, as scenarios come with distinct benefits and trade-offs for different actors, sectors, and regions. This trans-disciplinary project will develop scenarios for a European bioeconomy, analyze their effects on the environment, society and the economy, and investigate which actors, technical systems, markets, and policies are required to realize a sustainable bioeconomy. By addressing these key issues, the project will provide important knowledge for policy makers and industry actors, facilitating strategic choices in the transition to a sustainable and resilient society. | Partner profiles sought: Researchers in the fields of Energy and Sustainability and/or Circular economy with interest/expertise in: • Biomass (bioenergy, bio-based materials) • Policy • Scenario studies • Societal impact | |||||||||||||||||||||||||||||||||||||||||||||||||
45 | 14. Digital Twins and Advanced Modelling | UAveiro | David Melanda Pereira | Digital Twin; Preventive Conservation; Museum Monitoring; Heritage Buildings; IoT | Risk-Aware Digital Twin for Preventive Conservation in Museums | Aim: To develop and demonstrate a risk-aware digital twin for museums, integrating real-time environmental and artwork monitoring with risk alerts, decision support, and a transferable framework for preventive conservation. Objectives: Integrate IoT monitoring data (temperature, relative humidity, CO₂, and artwork-related sensing) into a digital twin environment based on rooms, assets, and artworks. Define and test risk indicators and thresholds for preventive conservation, linking environmental fluctuations to collection vulnerability. Develop a decision-support layer with alerts, dashboards, and interpretable outputs for conservators and museum managers. Validate the approach through a real case study at the Museu Nacional Grão Vasco (Portugal) and explore its transferability to other museums. | ECIU partners with expertise in: Heritage conservation and conservation science, to support the definition and validation of risk indicators. Data science / AI / time-series analysis, for anomaly detection, early warning, and predictive modelling. Building physics / indoor climate analysis, to better understand environmental behaviour in historic museum buildings. User-centred visualisation and decision-support design, to create dashboards and outputs that are useful for non-technical museum staff. Additional pilot cases, especially museums or heritage institutions interested in testing the framework in other real contexts. | ||||||||||||||||||||||||||||||||||||||||||||||||
46 | INSA Hauts-de-France | Hichem Eleuch | Artificial Intelligence, Quantum Computing, Quantum Machine Learning, Digital Twins, Big Data Analytics, Smart Mobility, Complex Systems, Optimization, Industry 4.0, Real-Time Data Analysis | Quantum-AI model for Real-time Optimization of Complex Mobility | Today's mobility systems, industrial infrastructures, and smart environments generate huge volumes of heterogeneous data through sensors, robots, and interconnected devices. This presents a significant scientific and technological challenge in extracting useful insights from data in real-time to optimize the system's behavior. A potential solution is the use of Artificial Intelligence and Quantum Computing, combined with Digital Twins. | AI and Machine learning Quantum Machine learning Quantum Computing Quantum Algorithms Data Science and Big Data Digital Twin Complex System Modelling Smart Mobility Industry 4.0 | |||||||||||||||||||||||||||||||||||||||||||||||||
47 | INSA Toulouse | Ariane Abou Chakra | Materials; biomaterials; composites; sustainable construction; digital twins | Thermal optimization of bio-based materials | Multi-scale Modeling and Optimization of the thermal performance of bio- and geo-sourced materials | Modeling and data experts; IR thermography specialists; LCA specialists | |||||||||||||||||||||||||||||||||||||||||||||||||
48 | 15. Explainable and Trustworthy AI for complex systems | UT | Elham Shirazi | trustworthy AI, control, forecasting, safe AI, physics-informed AI, uncertainty quantification, formal verification, distributed control, resilient energy systems. | Safe and Trustworthy AI for Energy Systems | Objective: To develop a safe, transparent, and verifiable AI-based control and forecasting framework for modern energy systems that can operate reliably under heterogeneity, non-stationarity, complex interdependencies, and uncertainty, overcoming the limitations of purely white-box and centralized models while remaining scalable under changing topologies and dynamic behaviour. | Academic expertise: nonlinear stability analysis (Lyapunov) in control theory, governance inAI, formal verification teams, cybersecurity, fairness of AI, SSH aspects of AI, and power electronics. Industrial partners: Transmission System Operator (TSO) and Distribution System Operator (DSO), regulation and governance of AI. Consortium characteristics: Balanced mix of theory and implementation, access to real operational datasets, pilots and case studies, capability for real-time experimental validation | ||||||||||||||||||||||||||||||||||||||||||||||||
49 | KTU | Inga Stankevice | AI Surveillance; smart cities; privacy calculus; privacy paradox; citizen acceptance | Privacy Trade-Offs in AI-Enabled Urban Surveillance Across European Smart Cities | There is a lack of large-scale, harmonised empirical research examining whether privacy calculus and privacy paradox patterns hold across diverse European urban settings. Addressing this gap requires cross-city empirical testing of how individuals evaluate the privacy risks and benefits of AI-enabled urban surveillance. Privacy calculus suggests individuals weigh risks against benefits in a rational process, e.g., accepting GPS tracking if it improves transport efficiency. The privacy paradox describes a mismatch between what people say and what they do, e.g., expressing privacy concerns yet using systems that undermine privacy. In smart cities, the paradox is likely intensified because people often lack meaningful alternatives, face limited transparency, or perceive opting out as practically impossible. Aim - to examine how citizens in European smart cities evaluate privacy risks and benefits associated with AI-enabled surveillance technologies. Objectives: measure concern across the 5D privacy framework; assess the prevalence of privacy calculus vs. privacy paradox; compare privacy perceptions across demographics; evaluate the privacy-weighted attractiveness of at least seven AI surveillance technologies. | A pilot study has been implemented and awaits validation and scaling. I am seeking ECIU partners who will contribute: Access to urban populations (survey localisation, local survey deployment and collection of results, etc.) Quantitative methods expertise (CFA, SEM, measurement invariance testing, or advanced analytics with, e.g., ML) Social/cognitive psychology (risk perception and attitude-behaviour gaps) Legal/data protection expertise (GDPR and AI Act implications, alignment of empirical findings with EU regulatory frameworks) | |||||||||||||||||||||||||||||||||||||||||||||||||
50 | INSA Hauts-de-France | Alaa Daoud / Hiba Alqasir | machine learning, explainable AI, and multi-agent systems for transportation applications. Intelligent transport systems Computer vision, Causal discovery Explainable AI, Risk prediction | Explainable Causal AI for Traffic Risk Assessment from Video | Research problem: Current Intelligent Transportation Systems detect incidents using computer vision and machine learning, but they rarely explain “why a situation is risky”. This lack of interpretability limits trust and usefulness for human traffic operators. Objectives: Develop a human-centered traffic risk analysis framework that integrates Computer vision perception, Causal Discovery, and Explainable AI for traffic Risk Prediction: - a video-based traffic sensing pipeline extracting interpretable scene features such as vehicle density, speed and spacing. - Learn causal relationships between traffic conditions and accident likelihood. - Estimate risk evolution over time and simulate interventions. - Generate human-understandable explanations for operators using causal reasoning and language models. | Intelligent transportation systems and mobility analytics, Computer vision for traffic monitoring, Causal machine learning and explainable AI, and Human-centered mobility systems | |||||||||||||||||||||||||||||||||||||||||||||||||
51 | 16. Green Technology Innovation | UAveiro | Felipe Hobi Bordon Sosa | Green solvents, lignin, membrane development, nanofiltration, sustainable materials | Design and Fabrication of Functional Lignin Membranes | Aim: To engineer high-performance membranes via bio-based interfacial polymerization of tailored lignin, integrating data-driven design to advance sustainable technologies for water treatment and resource recovery. Objectives: 1. Engineer lignin into chemically addressable macromolecular building blocks. 2. Design green solvent systems (lls/DES) to control interfacial mass transfer and reaction kinetics. 3.Establish structure-interface-performance relationships. 4.Evaluate techno-economic feasibility and life-cycle performance. | Complementary partners to strengthen and expand the project scope in: - Advanced interfacial polymerization and membrane engineering, including reaction optimization, thin-film composite architecture control, and performance enhancement. - Lignin functionalization and advanced chemical modification, particularly strategies enabling precise control of reactivity and structure-property relationships. | ||||||||||||||||||||||||||||||||||||||||||||||||
52 | TUL | Paweł Adamski | battery pack energy, solar roof, photovoltaics | Solar Journey | Evaluate the present legislation in a set of target countries regarding in-body photovoltaics and roof racks. Evaluate standardized charging protocols (slow – using Alternating Current and Fast – DC) Evaluate possibilities of charging the main battery both when parked and in motion, without an intermediary battery pack. Prototyping a Solar Roof for an electric delivery car in possession of our University Getting an adequate type approval for such a on-road accesory | Knowledge in the present legislation regarding in-body photovoltaics and roof racks; in standardized charging protocols (slow – using Alternating Current and Fast – DC); in charging the traction battery in motion, without an intermediary battery pack. Experience in getting an adequate type approval for such a on-road accessory | |||||||||||||||||||||||||||||||||||||||||||||||||
53 | LiU | Karin Ackerholm | technology transfer; knowledge transfer; innovation, valorisation, green tech | Scaling green-tech innovation in European University Alliances | The integration of European universities into broader transnational networks provides an opportunity for scaling innovation. By sharing innovation best practices, infrastructures and resources across borders, European university alliances such as ECIU can leverage complementary expertise and foster new market opportunities. This networked approach also facilitates access to industry partnerships and future investment over Europe, contributing to the growth of high-potential start-ups. We are interested in developing new collaborations with researchers and innovation specialists interested in knowledge valorisation mechanisms, in particular for the green tech sector, with the goal to strengthen academia-business linkages and linkages between ECIU institutions and their innovation ecosystem such as science parks, incubators and knowledge and technology transfer offices or functions. | Researchers in “green tech”-related areas, particularily materials; Researchers in innovation management and similar domains; Innovation specialists; Knowledge and Technology transfer organisations | |||||||||||||||||||||||||||||||||||||||||||||||||
54 | INSA Lyon | Khalid Lamnawar | Sustainable batteries, conductive bio-binders, bio-based polymers, circular economy, energy storage, Rheology, recyclability. | SCoBB: Sustainable Conductive Bio-Binders for Batteries | Aim: Design of Sustainable, conductive bio-based binders for next-generation batteries, leveraging bio-based polymers and conductive nanofillers to enhance performance, recyclability, and environmental impact. This initiative will drive Europe's Green Deal and circular economy goals through collaborative research and doctoral training, addressing key challenges in energy storage for mobility, renewables, and beyond.. Objective: - Develop innovative bio-based conductive binder formulations from sustainable sources. - Investigate structure-property relationships in conductive bio-binders (Rheology and conductivity insight). - Validate bio-binder-integrated batteries for applications in lithium-ion, solid-state, or emerging technologies - Embed circular economy principles, such as material recyclability, upcycling, and life-cycle optimization, to reduce environmental footprint and support EU policy objectives. - Provide interdisciplinary training to doctoral candidates in sustainable materials, battery innovation, and transferable skills, fostering a new generation of researchers for academia and industry. | Academic/Research Institutions: Expertise in conductive materials, battery chemistry, electrode design and fabrication, or sustainability assessments. | |||||||||||||||||||||||||||||||||||||||||||||||||
55 | 17. Higher Education Transformation | INSA Toulouse | Jean-Yves Plantec | Complexity, Knowledge Management, Change management, Ethics, Strategic foresight, teaching; learning | Learning networks in a VUCA word | High-level objective: To develop a shared culture among students and staff around subjects that are relevant in a VUCA world: Complexity, Knowledge Management, Change management, Ethics, Strategic foresight Develop a mobile application devoted to all these domains and allowing co-construction of resources - Open access : Audio and video resources on Knowledge Management, Complexity, change management, ethics, and foresight; testimonials from project managers; serious games and challenges. - Restricted access: A Retrieval-Augmented Generation (RAG) system leveraging documents and knowledge bases of the consortium. - Submission of ideas, reflections, and feedback (REX), combined with monitoring of the consortium to transform contributions into structured knowledge. - Certification Important remark: Toulouse has expertise in no-code development of mobile app | Academic staff with pedagogical expertise on subjects like Complexity, Knowledge Management, Change management, Ethics, and Strategic foresight. Pedagogical engineers for creation of audio and video resources Students and colleagues as testers | ||||||||||||||||||||||||||||||||||||||||||||||||
56 | TEC | Patricia Caratozzolo | just green transition; energy skills gap; | A Forecast-Driven Framework for a Just Energy Transition | Develop a Green Skills Forecasting Observatory (EU Pilot) Map University Curricula vs. Forecasted Skill Needs Design a University-Based Green Skills Acceleration Model Develop a Just Transition Alignment Framework Create an EU–LAC Comparative Layer | Energy systems engineering, digital industry transformation. Labor economics, regional development, policy analysis. Sustainable energy technologies, industrial innovation. Renewable energy systems, hydrogen technologies, industrial sustainability. Green skill forecasting & AI methodologies | |||||||||||||||||||||||||||||||||||||||||||||||||
57 | TEC | Leonardo Glasserman | AI-enabled Institutional Transformation, Higher Education Innovation, Institutional Maturity Frameworks, Data-informed Decision-Making, Digital Transformation in Higher Education | AI-Enabled Institutional Transformation for the Future of Higher Education: Maturity Frameworks and Transformation Labs | To assess the institutional readiness and maturity levels of partner higher education institutions across eight strategic dimensions of transformation, in order to identify priority areas for innovation and guide the design of AI-enabled transformation initiatives. To design an AI-supported institutional transformation framework that integrates maturity indicators, data analytics, and decision- support mechanisms to help university leaders monitor and guide strategic transformation processes. To co-design AI-enabled transformation initiatives with partner universities across selected maturity dimensions, including areas such as micro-credential innovation, AI-supported administrative processes, faculty development, governance optimization, and sustainability-driven learning experiences. To implement and evaluate institutional Transformation Lab pilots within partner universities, where AI-enabled interventions are tested in selected maturity dimensions to accelerate institutional innovation and organizational learning. To evaluate the outcomes of AI-enabled transformation initiatives and generate scalable models and policy recommendations that support sustainable institutional transformation across higher education ecosystems. | AI and learning analytics Digital governance and AI ethics Higher education policy Organizational change and leadership Micro-credentials and lifelong learning design Sustainability and green skills integration | |||||||||||||||||||||||||||||||||||||||||||||||||
58 | 18. Human adaptation to digital transformation | LiU | Wanjun Chu and/or Blomqvist | Speculative Design, Design fiction, Human-AI interaction, Sustainable AI, Unintended Consequences | Unintended consequences of Human-AI interaction | As AI-featured products become increasingly integrated into people’s everyday lives, concerns regarding the potential unintended, undesired, and unsustainable consequences that human-AI interaction (HAI) may introduce have raised growing attention in the design community. Drawing on Design Fiction approach, we aim to develop and evaluate a new speculative design technique – Crime Scene Investigation, to support designers in engaging relevant stakeholders, both in academia and industry contexts, to foresee and identify potential impacts of AI in the early stages of AI product design and development processes. | We are looking for both academic researchers and industry partitioners who are interested in further co-developing and evaluating this new method with us. In particular, people with expertise in designing and developing AI-featured products and services, such as smart energy management systems, autonomous transport solutions, etc. | ||||||||||||||||||||||||||||||||||||||||||||||||
59 | TAU | Hongxiu Li | Human adaptation, responsible use of AI, adaptation mechanism | Human adaptation to AI use in work | Aims: to investigate human adaptation to AI use as a critical determinant of successful and responsible AI integration across workplaces. Objectives: (i) to identify key psychological, cognitive, and behavioural adaptation mechanisms from human perspective (ii) to explore organizational and societal strategies facilitate human adaptation to AI use in work environment (iii) to measure the effect of human and organizational adaptation capacity on AI use success and responsible use of AI in organizations (iv) to develop evidence-based guidelines for developing human and organizational adaptation capacity to responsible AI use | Partners in the following fields: Organizational studies (Organizational adaptation, organizational strategies) Human–computer interaction (Human cognitions and behaviors in AI use) Digital transformation (Organizational digital strategies) Public policy and ethics (AI Governance alignment) | |||||||||||||||||||||||||||||||||||||||||||||||||
60 | UAveiro | Rita Himmel | digital humanities; cultural studies; gender; AI | Critical Digital Cultural Studies Network | Consolidate a collaboration as a launchpad for a COST Action proposal (and potential related EU projects), connecting critical Digital Humanities and Cultural Studies, as well as related fields. Key harms and tensions are increasingly documented within this general phenomenon: epistemological concerns, misrepresentation and stereotyping via algorithmic classification, harassment and gender-based violence in online spaces, precarious and invisible digital cultural labour, and shifting community ties between online and place-based contexts. The main objective is to develop a network, based on the already established institutional collaboration within ECIU, in more critical fields, to tackle the issue of "digital transformation". Networking meetings would serve to map ECIU expertise and ongoing projects; agree on shared research challenges and terminology, form thematic working groups, as well as one transversal group, identify "anchor cases" (across different languages/regions/platform types) and main topics. The main activity is to design a COST Action skeleton: objectives, Working Groups, training plan, dissemination, stakeholder engagement, and organize a submission. | ECIU partners who want to build a shared, comparative approach to studying platformisation and Al as cultural and political forces. The ideal consortium brings together critical Digital Humanities and Cultural Studies with other social science and humanities expertise and complements this with responsible technical capability grounded in strong critical and reflexive methodology. We especially welcome partners who can anchor comparative cases in different European contexts, so the network can move beyond single-country or English-centric perspectives. We also seek colleagues experienced in gender studies, digital labour and creator economies, and community/civic participation research, and other relevant fields. Partners with experience submitting and/or designing COST Action applications would be very much appreciated. | |||||||||||||||||||||||||||||||||||||||||||||||||
61 | 19. Robotics and digital tools for health | INSA Lyon | Arnaud Lelevé | - Haptic (kinesthetic and/or tactile) feedback - Low-tech mechanical design (to design affordable solutions) - Biomechanical simulation models - Multi-energy actuation and control | Haptic Training Medical Staff | Aim: - Better train medical staff on difficult gestures with the help of haptic simulators, instead of (or before) learning on patients - Plan surgical operations on patients from their imaging data on a haptic simulator - Test by simulation new medical tools Research Objectives : - Develop medical gesture dedicated haptic devices (mechatronics and automatic control) - Improve imaging data to tool-tissues interaction models specific to patients - Enhance objective assessment methods from trainers’ practice simulation data | - Automatic control for haptic rendering - Mechanical design of haptic devices - Biomechanical realtime simulation - Low-tech design - Human and Social Sciences (HSS) related to gesture training | ||||||||||||||||||||||||||||||||||||||||||||||||
62 | INSA Toulouse | Bertrand Tondu | Robotics; virtual reality; stroke; healthcare; rehabilitation | Combining virtual reality with post-stroke rehabilitation robotics | Stroke is the leading cause of adult disabilities in developed countries, Robotics is a relevant method that helps caregivers restore motor skills in patients who have suffered a stroke, Virtual reality is another technical approach that helps the brain recover the motor patterns needed to perform everyday gesture. Aim:to combine these two approaches for developing an advanced robotic solution in post-stroke rehabilitation of the upper-limb. | We are looking for a partner to help us develop our virtual reality approach in a medical context. | |||||||||||||||||||||||||||||||||||||||||||||||||
63 | UAveiro | Rita Oliveira and Oksana Tymoshchuk | Inclusive communication; Clinical communication; Health accessibility; Digital health | Inclusive Clinical Communication: Accessible Strategies and Digital Tools for Patients with Communication Barriers | Aim: To develop, test and validate inclusive communication strategies and digital support tools for clinical settings, focusing on patients with oral communication difficulties, including migrants, stroke survivors, deaf and hard-of-hearing individuals, autistic people, and other communication-vulnerable groups. Objectives: To explore the integration of assistive and digital technologies (e.g., AI-based tools, multimodal interfaces, translation systems); To develop and validate practical guidelines and technical resources for inclusive clinical communication. | ECIU partners with expertise in: - Computer Science (AI-based tools, multimodal interfaces, translation systems…) - Communication Design and Interaction Design - Clinical research environments - Healthcare innovation | |||||||||||||||||||||||||||||||||||||||||||||||||
64 | 20. Sustainable Product design | KTU | Jurgita Domskiene | Digital Transformation, Sustainability, Smart Textiles; DPP; QR; RFID; circular economy | Smart Textile Labels for Lifecycle Traceability under DPP Framework | The introduction of the Digital Product Passport (DPP) under the European Commission represents a transformative policy initiative aimed at accelerating sustainability, circularity, and digitalization in the textile industry. To meet long-term DPP requirements and ensure full lifecycle traceability, durable, embedded, and multifunctional textile labeling solutions are under demand. Aim - to develop durable and multifunctional textile labeling system that ensures full garment traceability under the Digital Product Passport framework, while meeting textile sustainability, repairability, and recyclability requirements. | Smart textile technologies, including textile-integrated electronics Circular textile design, and design-for-recycling strategies Life Cycle Assessment (LCA) and environmental impact analysis of textile products Digital Product Passport (DPP) architecture, secure data platforms, interoperability standards, and traceability systems | ||||||||||||||||||||||||||||||||||||||||||||||||
65 | LiU | Elena Jiménez Romanillos | Reusable packaging; Sustainable behaviour; Circular economy; Behavioural design; Service design; Foodsystems; Design for sustainability; User-centred innovation; Policy & infrastructure; Systems thinking | Designing reusable food packaging systems for sustainable consumer behaviour | To explore how reusable food packaging systems can be designed to actively encourage sustainable consumer behaviours rather than relying solely on individual motivation. | Expertise on; life-cycle assessment(LCA); Sustainable business models. Type of Partners: Sustainability transition; Foodsystem innovation; Food retailers; Packaging systems | |||||||||||||||||||||||||||||||||||||||||||||||||
66 | TUL | Andrea Patelski | fermented products, food, bevarage | FERM4WARD – Tradition Reimagined by Science | design a new generation of health-promoting fermented foods and/or beverages. We aim to develop a scientifically grounded portfolio of fermented products that: a) draw inspiration from traditional microbial processes(fermented dairy and meat products, cheeses, ciders, wines, beers, fermented honeys) or b) represent entirely novel food concepts with no existing market equivalents | Human and animal wellbeing assessment Clinical trial design and implementation Analysis of bioactive compounds Process engineering Marketing strategy development Life Cycle Assessment (LCA) Agri-food waste processing (biogasification, pyrolysis) Development of biodegradable packagings solution | |||||||||||||||||||||||||||||||||||||||||||||||||
67 | 21. Sustainable Human Participation and Wellbeing | UniTrento | Diego Ponte Martina Dell'Eva | social prescribing; One Health approach; social determinants of health | From Cultural Engagement to Health Outcomes: Assessing the Impact of Social Prescribing | Background Health systems are increasingly facing rising levels of social and clinical vulnerability, driven by ageing, chronic diseases, mental distress, and social isolation. A critical challenge for this criticality is that of sustaining treatment adherence and promoting long-term healthy behaviours. Social prescribing is rapidly expanding across health systems, particularly in the field of social-cultural prescribing. In Italy, the 2026 National Law 822/2026 has established a dedicated fund to support cultural and arts-based initiatives as tools for therapeutic and social care (co. 822 art 1. Legge di bilancio 2026) However, existing experiences remain fragmented, locally embedded, and insufficiently documented. There is currently limited systematic evidence on their impact, implementation models, and scalability within the national health system. The goal of this research idea is to explore how social prescribing — particularly cultural prescribing — can contribute to: - Improving adherence to care pathways? - Promoting healthier lifestyles? | Partners with expertise in: - Social prescribing and community-based care models - Arts and health / cultural prescribing - Health economics and cost-effectiveness analysis - Digital health and data integration systems Preferred Institutional Profiles - Universities and research centres with experience in health systems research - Public health institutions and primary care networks - Cultural institutions engaged in arts-based health initiatives - Digital health innovation centres | ||||||||||||||||||||||||||||||||||||||||||||||||
68 | KTU | Violeta Rapuano | gender; academic careers; | Supporting Sustainable Research Careers: A Cross-Country Pilot Mentoring Framework for Women in Academia | Aim: To develop and pilot a structured, data-informed and context-adaptive mentoring framework that supports sustainable research careers for women across 2–3 European institutional systems. Objectives: To identify key individual and institutional barriers affecting women’s career progression in research-intensive environments. To analyse promotion systems, mentoring structures, and governance models in participating institutions. To examine cross-country differences influencing mentoring design and effectiveness. To co-develop and pilot a structured mentoring framework aligned with institutional realities. To evaluate and refine the framework through comparative analysis and structured feedback. | Researchers with expertise in gender equality, academic career development, or higher education systems; Institutions running mentoring initiatives; Researchers in implementation and comparative methodologies; Universities interested in piloting structured career interventions. | |||||||||||||||||||||||||||||||||||||||||||||||||
69 | LiU | Mathilda Björk | Health interventions; Return-to-Work; Sustainable working life; Policy comparison; Welfare systems; Ageing workforce; Digital health; Implementation. | Health Interventions and Policy Pathways for Sustainable Working Life | Aim: To develop a European collaborative initiative focusing on health-promoting and work-directed interventions that support sustainable working life and return-to-work (RTW) in an ageing workforce, while comparing how different policy and welfare systems shape outcomes. Objectives: - Compare how national policies, social insurance systems and workplace regulations influence RTW and extended working life across European countries - Identify and evaluate health and rehabilitation interventions that promote sustainable work participation among older workers and people with chronic conditions - Explore how digital and organisational innovations can strengthen intervention delivery and cross-sector collaboration | Partners with expertise in: Digital and health-promoting RTW interventions; Occupational health and work disability; Comparative welfare and labour market policy including health economy; Implementation science and real-world evaluation; Living labs / innovation labs and testbed environments We particularly welcome institutions from diverse European welfare systems and partners interested in building a long-term consortium for Horizon Europe applications. | |||||||||||||||||||||||||||||||||||||||||||||||||
70 | 22. Sustainable Urban Mobility and Infrastructure | UT | Janset Dasdemir | Urban rail systems, coordinated control architectures, advanced propulsion systems, energy-efficient rail operation, system-level integration, rail infrastructure resilience | Energy-Efficient and Resilient Urban Rail Systems | Aim: Urban rail systems are central to Europe's sustainable and resilient mobility transition. Increasing electrification, digitalisation and evolvingpropulsion technologies are making rail infrastructures more dynamically coupled and operationally complex, creating new challenges in energy efficiency, operational reliability and system robustness. This project aims to develop and experimentally validate integrated modelling and coordinated control strategies that enhance energy efficiency, operational safety and robustness of advanced urban rail systems. The proposed approach will be validated through a lab-scale propulsion and control demonstrator, enabling integrated assessment of propulsion, energy and controlinteractions and supporting future system-level integration in advanced rail infrastructures. | To broaden the technical scope and build a strong interdisciplinary collaboration, complementary expertise is invited in the following areas: - rail energy systems and power electronics, including regenerative energy coordination and grid interaction mechanisms; - digital twin and hardware-supported validation environments for integrated rail system evaluation; - rail infrastructure performance and operational assessment, including safety and reliability analysis; - industrial rail system integration and technology transfer pathways. | ||||||||||||||||||||||||||||||||||||||||||||||||
71 | UAB | Samuel Nello-Deakin Jordi Honey-Rosés | longtail e-bikes | Assessing the rise of longtail e-bikes | Long-tail e-bikes – with capacity to carry up to 2 children -- are becoming an increasingly popular solution for urban trips, with the potential to replace car driving for many trips. There appears to be almost no research focusing specifically on assessing the recent rise of longtail e-bikes in many European cities. Main idea: Conduct a mixed methods comparative study of longtail e-bike use across various European cities leveraging the local expertise of the ECIU network (ideally 3-4 cities, combination of structured survey and interviews). This would likely be a relatively small-scale study, but on an innovative topic with a clear academic and policy relevance. In turn, it could set the seeds for future collaboration between ECIU partners (European calls for funding, etc.), both on this specific topic and more broadly in the area of cycling to school/cycling logistics/bicycle parking, all of which are issues on which our research group in the UAB has worked on in the past. At this stage, this is just a preliminary proposal/idea which is very much open to further discussion/exploration if there are any potentially interested partners. | Partner universities would be situated in cities where the use of longtail e-bikes has also been visibly increasing in the past few years (e.g. Dublin/Hamburg?), where it is realistic to find enough users to interview/survey. Our own expertise is in geography/urban planning/mobility. Partners from a variety of disciplinary backgrounds, from the more technical (e.g. transport engineering, economics, health) to social sciences (e.g. geography, sociology), as long as they share our interest in the topic, and are willing to collect data (surveys/interviews)for their local city. Prior experience of research on cycling/active mobility would be particularly welcome. | |||||||||||||||||||||||||||||||||||||||||||||||||
72 | UniTrento | Gianluca Grilli Jenny Cavarra (PhD candidate) | nature-based solutions; renewable energy; water-energy-food nexus; cities; energy transition | Integrated Nature-based Solutions and Renewable Energy Systems | Aim: the main aim of the research is to develop an integrated framework for combining Nature-based Solutions (NbS) and Renewable Energy (RE) systems within urban spaces, using a Water-Energy-Food (WEF) nexus perspective to promote ecological justice and just transition. Objectives: the research can focus on many aspects, such as: - To explore how integrated NbS-RE can simultaneously address biodiversity conservation, RE production, water management and food production; - To assess trade-offs and synergies within the WEF nexus; - To investigate how this integration can achieve ecological justice, with more-than-human as focus; - To measure the potential that this integration could bring to cities in reducing the problem of lack of space; - To develop policy recommendations for implementing integrated NbS and RE. | Partners with expertise: - Urban planning and spatial analysis; - Urban ecology and biodiversity; - GIS-based urban mapping; Partnership with municipalities, energy communities, local associations, and civil societies could result in a successful partnership | |||||||||||||||||||||||||||||||||||||||||||||||||
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