citizen science and artificial intelligence technology full details
Citizen Science and Artificial Intelligence
We set ourselves an ambitious programme of fostering Science Learning through innovative Artificial Intelligence developed for Citizen Science
We set ourselves an ambitious programme of fostering Science Learning (formal and informal) through innovative Artificial Intelligence developed for Citizen Science.
We bring AI research on Image Recognition, Data Analytics and Natural Language Generation and a decade's experience of Citizen Science practice to bear on research problems, primarily focused on challenging topical issues such as Biodiversity monitoring and Actionable citizen science.
The group spans the Knowledge Media Institute and the School of Environment, Earth and Ecosystem Sciences.
Partners
- University of Aberdeen
- Imperial College London
- Learning through Landscapes
- St Alban's CoE Primary School
News
29 Oct 2026
23 Oct 2026
22 Oct 2026
07 Oct 2026
05 Oct 2026
Chiatti, A., Bardaro, G., Matteucci, M. and Motta, E. (2023). Visual Model Building for Robot Sensemaking: Perspectives, Challenges, and Opportunities. In: Bridge Session on AI and Robotics of the thirty-seventh AAAI conference on Artificial Intelligence (AAAI-23), 7-8 Feb 2023, Washington DC, USA. https://oro.open.ac.uk/86506/.
Lakeman Fraser, P., Colluci-Gray, L., Robinson, A., Sforzi, A., Staples-Rolf, R., Newman, J., Gill, R., Sharma, N., RĂ¼ger, S. and Siddharthan, A. (2023). X-Polli:Nation: Contributing towards sustainable development goals through school-based pollinator citizen science. Citizen Science: Theory and Practice, 8(1), https://oro.open.ac.uk/86427/.
Sharma, N., Colucci-Gray, L., van der Wal, R. and Siddharthan, A. (2022). Consensus building in on-line citizen science. In: 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 2022), 08-22 Nov 2022, Online. https://oro.open.ac.uk/83971/.
Pontika, N., Knoth, P., Cancellieri, M. and Pearce, S. (2015). Fostering Open Science to Research using a Taxonomy and an eLearning Portal. In: iKnow: 15th International Conference on Knowledge Technologies and Data Driven Business, 21-22 Oct 2015, Graz, Austria. https://oro.open.ac.uk/44719/.











