IDAI Collision Grant Fund
The IDAI Collision Grant Fund provides seed funding for bold, high-impact interdisciplinary research projects that push the boundaries of data, AI, and society.

This funding fuels "creative collisions" to support University of Birmingham researchers in developing transformative interdisciplinary data science and AI projects. Developed through our Sandpits and Affiliate Network, these projects explore uncharted intersections between disciplines. Funding is awarded following a competitive "Dragon's Den" pitch process, prioritising projects with novelty, adventure, and a clear pathway to future major external funding.
Following a highly competitive selection process, we are delighted to announce that 7 innovative and high-impact research projects have been awarded as part of the 2025/2026 Collision Grant funding call.
2025/2026 Awarded Projects
AI for Early Prediction of Disease Progression in Bladder Cancer...
AI for Early Prediction of Disease Progression in Bladder Cancer...
AI for Early Prediction of Disease Progression in Bladder Cancer: Integrating Tissue Architecture, Clinical Data and Health-Economic Insights
- Dr Rasha Abu-Eid, Associate Professor in Oral Biology, School of Dentistry
- Dr Francesco Maria Esposito, Assistant Professor in Economics, Birmingham Business School
- Dr Roland Arnold, Research Fellow, School of Medical Sciences
- Professor Rik Bryan, Professor in Urothelial Cancer Research, School of Medical Sciences
- Dr Andreas Karwath, Associate Professor, School of Medical Sciences
Hierarchical Compositional Models for Efficient and Interpretable Machine Learning
Hierarchical Compositional Models for Efficient and Interpretable Machine Learning
- Dr Jianbo Jiao, Associate Professor in Computer Science, School of Computer Science
- Dr Alexander Krull, Assistant Professor of Data Science and Artificial Intelligence, School of Computer Science
- Professor Ales Leonardis, Chair of Robotics at the School of Computer Science, School of Computer Science
- Dr Dietmar Heinke, Associate Professor, School of Psychology
- Professor Giovanni Costantini, Professor of Physical Chemistry, School of Chemistry
Environment-Aware Digital Twin for Catchment Hazard-to-Health Cascades
Environment-Aware Digital Twin for Catchment Hazard-to-Health Cascades
- Dr Jiarui Zhou, Assistant Professor in Environmental Bioinformatics, School of Biosciences
- Dr Archana Sharma-Oates, Assistant Professor, School of Biosciences
- Professor Lee Chapman, Professor of Climate Resilience & Met Office Joint Chair, School of Geography, Earth and Environmental Sciences
- Professor Luisa Orsini, Professor of Evolutionary Systems Biology and Environmental Omics, School of Biosciences
- Professor David Hannah, Professor of Hydrology, UNESCO Chair in Water Science, School of Geography, Earth and Environmental Sciences
- Dr Shan He, Senior Lecturer of Computer Science, School of Computer Science
Supporting Young People’s Mental Health and Wellbeing in the Age of AI
Supporting Young People’s Mental Health and Wellbeing in the Age of AI
- Dr Dorothy Butchard, Lecturer in Contemporary Literature and Digital Cultures, School of English, Drama and Creative Studies
- Dr Roxana Baiasu, Assistant Professor, School of Psychology
- Dr Gianfranco Polizzi, Assistant Professor in Digital Media and Communications, School of English, Drama and Creative Studies
- And their project team
From Sensor to Sequence: AI-Driven Integration of Wearable Activity Data...
From Sensor to Sequence: AI-Driven Integration of Wearable Activity Data...
From Sensor to Sequence: AI-Driven Integration of Wearable Activity Data and Blood Transcriptome Profiles in Parkinson’s Research: A Small Cohort Pilot Study
- Dr Csilla Várnai, Assistant Professor in Bioinformatics, School of Medical Sciences
- Dr Mark Elliott, Associate Professor of Human Movement Analytics, School of Sport, Exercise and Rehabilitation Sciences
- Dr Francesco Maria Esposito, Assistant Professor in Economics, Birmingham Business School
- Dr Ned Jenkinson, Senior Lecturer in Human Movement Sciences, School of Sport, Exercise and Rehabilitation Sciences
Towards a Foundation Model for Cross-Species Molecular Perturbations...
Towards a Foundation Model for Cross-Species Molecular Perturbations...
Towards a Foundation Model for Cross-Species Molecular Perturbations: Integrating Omics and AI
- Dr Anas A Rana, Associate Professor Statistical Machine Learning, School of Medical Sciences
- Dr Jiarui Zhou, Assistant Professor in Environmental Bioinformatics, School of Biosciences,
- Dr Ralf Weber, Director of Bioinformatics, School of Biosciences
- Dr Mamun Rashid, Assistant Professor, School of Medical Sciences
DeepSight: Data-Driven Early Detection of Glaucoma and Virtual Surgery Modelling
DeepSight: Data-Driven Early Detection of Glaucoma and Virtual Surgery Modelling
- Dr Chandan Bose, Assistant Professor of Aerospace Engineering, School of Metallurgy and Materials
- Professor Lisa Hill, Professor of Translational Neuroscience, School of Infection, Inflammation and Immunology
- Professor Fabian Spill, Professor of Applied Mathematics, School of Mathematics
2024/2025 Awarded Projects
A radiomics approach to define the brain metastasis-brain parenchyma interface on MRI
A radiomics approach to define the brain metastasis-brain parenchyma interface on MRI
- Dr Vinton Cheng, Department of Cancer and Genomic Sciences
- Dr Hamidreza Arjmandi, Assistant Professor in Bioinformatics, School of Medicine and Health, Department of Cancer and Genomic Sciences
- Prof Vijay Sawlani, Professor Neuroimaging, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham
New AI Binders for protein isoform-specific imaging: disease targeting and monitoring
New AI Binders for protein isoform-specific imaging: disease targeting and monitoring
- Dr Daniel Nieves, Research Fellow, Immunology and Immunotherapy
Compositor 2.0: AI for Image Analysis in the Humanities
Compositor 2.0: AI for Image Analysis in the Humanities
- Dr Hazel Wilkinson, Senior Lecturer, School of English, Drama, and Creative Studies
Digital Governance Twins: LLM Multi-Agent Systems for Evidence-Based Decision Support
Digital Governance Twins: LLM Multi-Agent Systems for Evidence-Based Decision Support
- Dr Christine Sheldon, Research Fellow in Computational Social Science, School of Government
- Dr Christian Arnold, Associate Professor in Government and AI, School of Government
- Prof Slava Jankin, Chair in Data Science and Government, School of Government
Mapping and Analysing the Allocation of Reconstruction Funds in War-Torn Ukraine
Mapping and Analysing the Allocation of Reconstruction Funds in War-Torn Ukraine
- Dr Martin Ottmann, Associate Professor in Peace and Conflict Studies, Head of Research, School of Government
- Dr Stergios Mitoulis, Associate Professor, School of Engineering
- Nadiia Kopiika, Research Fellow, School of Engineering
Preprocessing multi-modal hydrological data to develop a causal foundation AI model...
Preprocessing multi-modal hydrological data to develop a causal foundation AI model...
Preprocessing multi-modal hydrological data to develop a causal foundation AI model of hydrological system
- Dr Shasha Han, Assistant Professor in Hydrology and Water Resources, School of Geography, Earth and Environmental Sciences
- Dr Shuo Wang, Associate Professor, School of Computer Science
- Dr Xilin Xia, Assistant Professor in Resilience Engineering, School of Engineering
Privacy Shields for Digital Ages: Enhancing Online Safety Against DeepFake Manipulation...
Privacy Shields for Digital Ages: Enhancing Online Safety Against DeepFake Manipulation...
Privacy Shields for a Digital Age: Enhancing Online Safety Against DeepFake Manipulation for Vulnerable Groups
- Dr Huiping Chen, Assistant Professor, School of Computer Science
- Dr Tarsem Sing Cooner, Associate Professor of Social Work, School of Social Policy and Society
- Caroline Webb, Lecturer, School of Social Policy and Society
SpermNet: Instance segmentation for sperm identification
SpermNet: Instance segmentation for sperm identification
- Dr Meurig Gallagher, Assistant Professor, School of Mathematics, Computer Science and Institute of Metabolism and Systems Science
- Prof Jackson Kirkman-Brown, Professor in Reproductive Biology, Metabolism and Systems Science and Birmingham Women's Hospital Fertility Centre
In the coming weeks, we will spotlight the innovative work and dedicated teams behind each of the successful projects.
We extend our sincere gratitude to all applicants. The outstanding quality of submissions reflects the depth and breadth of AI and Data research across our campus, as well as the collective commitment to advancing and strengthening interdisciplinary collaboration. We look forward to sharing updates and insights from these outstanding projects.