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
24 Nov 2020
KMi News
13 Jul 2020
KMi News
Lakeman Fraser, P., Colluci-Gray, L., Robinson, A., Sforzi, A., Staples-Rolf, R., Newman, J., Gill, R., Sharma, N., Rüger, 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/.
Georgiou, T., Islam, R., Holland, S., Linden, J.V.D., Price, B., Mulholland, P. and Perry, A. (2020). Rhythmic Haptic Cueing Using Wearable Devices as Physiotherapy for Huntington Disease: Case Study. JMIR Rehabilitation and Assistive Technologies, 7(2), https://oro.open.ac.uk/71609/.
Scharl, A., Föls, M., Piccolo, L., Fernandez, M. and Alani, H. (2016). Application Design and Engagement Strategy of a Game with a Purpose for Climate Change Awareness. In: International Conference on Internet Science. INSCI 2016, 12-14 Sep 2016, Florence, Italy. https://oro.open.ac.uk/51176/.
Fernandez, M., Piccolo, L.S., Maynard, D., Wippoo, M., Meili, C. and Alani, H. (2017). Pro-Environmental Campaigns via Social Media: Analysing Awareness and Behaviour Patterns. Journal of Web Science, 3(1), https://oro.open.ac.uk/51172/.
Piccolo, L.S., De Liddo, A., Burel, G., Fernández, M. and Alani, H. (2018). Collective intelligence for promoting changes in behaviour: a case study on energy conservation. AI & Society, 33(1), pp. 15–25. https://oro.open.ac.uk/49034/.
Piccolo, L.S. and Alani, H. (2016). Strategies and Tools to Raise Energy Awareness Collectively. In: Behave 2016 - 4th European Conference on Behaviour and Energy Efficiency, 8-9 Sep 2016, Coimbra, Portugal. https://oro.open.ac.uk/47088/.
Piccolo, L., Fernández, M., Alani, H., Scharl, A., Föls, M. and Herring, D. (2016). Climate Change Engagement: Results of a Multi-Task Game with a Purpose. In: International AAAI Conference on Web and Social Media Tenth International AAAI Conference on Web and Social Media, 17-20 May 2016, Cologne, Germany. https://oro.open.ac.uk/47090/.
Fernandez, M., Piccolo, L.S., Maynard, D., Wippoo, M., Meili, C. and Alani, H. (2016). Talking Climate Change via Social Media: Communication, Engagement and Behaviour. In: Web Science Conference (WebSci), 22-25 May 2016, Hannover, Germany. https://oro.open.ac.uk/46530/.
Saif, H. (2015). Semantic Sentiment Analysis of Microblogs. [Thesis] https://oro.open.ac.uk/44063/.
Fernández, M., Burel, G., Alani, H., Piccolo, L.S.G., Meili, C. and Hess, R. (2015). Analysing engagement towards the 2014 Earth Hour Campaign in Twitter. In: EnviroInfo &ICT4S 2015: Building the Knowledge Base for Environmental Action and Sustainability, 7-9 Sep 2015, Copenhagen, Denmark (Forthcoming). https://oro.open.ac.uk/43621/.











