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Advaith SiddharthanMember status icon

Professor of Computer Science and Society
Advaith Siddharthan Photograph

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My research specialisation is in Computational Linguistics and Data Science, with a focus on communicating complex data and making information and data (particularly telemetric data) accessible through text analytics, summarisation, reformulation and natural language generation. I have a particular interest in Citizen Science, and in particular, technologies that break down the divide between professional scientists and lay public and facilitate the meaningful engagement of the public with science.

Keys: Natural Language Generation, Citizen Science, Data Analytics, Language Technologies, Artificial Intelligence

Team: Phillimon Mumba, Stefan Rueger, Nirwan Sharma, Kai Waddington

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Publications

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Colucci-Gray, L., Hancock, J., Islam, R., Sharma, N., Manches, A., Bowers, L., Lakeman-Fraser, P., Mozier, S., Newman, J., Reuger, S. and Siddharthan, A. (2024) Seeing with hands and touching with eyes: recovering sensorial attention to nature in primary schools, First International Conference on Embodied Education, Danish School of Education (DPU), Tuborgvej 164, 2400 Copenhagen, Denmark

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Sharma, N., Colucci-Gray, L., Lakeman-Fraser, P., Robinson, A., Newman, J., Wal, R., Rüger, S. and Siddharthan, A. (2024) Image Recognition as a 'Dialogic AI Partner' within Biodiversity Citizen Science - an empirical investigation, Citizen Science: Theory and Practice, pp. (In press)

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Dodd, M., Döring, M., Valentine, C., Siddharthan, A. and Ansine, J. (2024) Updating Species Dictionaries in the Citizen Science Platform iSpotnature.org with the Help of Its User Community and ChecklistBank, Biodiversity Information Science and Standards, 8

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Hancock, J., Colucci-Gray, L., Siddharthan, A., Manches, A., Sharma, N., Islam, R., Bowers, L., Reuger, S., Lakeman-Fraser, P., Newman, J., Mozier, S. and Barry, R. (2023) 'We felt the textures from nature and it gave us new ideas': Investigating sustainability education through primary school children's natural and digital haptic touch explorations, SERA Conference 2023, Queen Margaret University, Musselburgh, United Kingdom

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Ao, S., Rüger, S. and Siddharthan, A. (2023) Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection, 2023 IJCAI Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning, AISafety-SafeRL, Macau, China

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Research Themes

Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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