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beewatch project full details

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Champion: Advaith Siddharthan
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BeeWatch is a citizen science project developed in collaboration with the Bumblebee Conservation Trust (BBCT) and the University of Aberdeen. Citizens submit photographs of bumbelbees, then have the opportunity to identify the species (and this is a hard task) using an online key. BeeWatch deploys a range of AI technologies, both for automating the provision of informative and motivating contextual feedback to recorders through Natural Language Generation, and for combining independent species identifications by different users using novel Bayesian methods for verifying records. BeeWatch builds on pedagogical research on the role of formative feedback in motivation and learning; in particular, about expectations of the learner from feedback and devices such as parallel empathy. (Funded by RCUK)

  • BBCT
  • University of Aberdeen


14 Nov 2019

Jane Whild


Publications | Download PDF Publications | doi 

Sharma, N., Colucci-Gray, L., Siddharthan, A., Comont, R. and Wal, R. (2019) Designing online species identification tools for biological recording: the impact on data quality and citizen science learning, PeerJ, 6:e5965, pp. 24 pages

Publications | Download PDF  

Sharma, N., Greaves, S., Siddharthan, A., Colucci-Gray, L., Anderson, H., Robinson, A., Wibowo, A., Bostock, H., Salisbury, A., Comont, R. and Wal, S. (2019) From Citizen Science to Citizen Action: Analysing the potential of a digital platform to create new environmental subjectivities, Journal of Science Communication, 18, 01, pp. 1--35, SISSA Medialab

Publications | Visit External Site for Details  

Wibowo, A., Siddharthan, A., Anderson, H., Robinson, A., Sharma, N., Bostock, H., Salisbury, A., Comont, R. and Wal., R. (2017) Bumblebee Friendly Planting Recommendations with Citizen Science Data, Workshop: Workshop on Recommender Systems for Citizens at ACM RecSys, Como, Italy

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Marie Curie Early Stage Researcher

Knowledge Media Institute (KMi)
£45,463 per year plus allowances
Based in Milton Keynes
Full-time, Fixed-term contract for 36 months

The Knowledge Media Institute invites applications for an Early Stage Researcher to work in the area of bias in Artificial Intelligence. The researcher will work within the interdisciplinary...


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