Member
Advaith Siddharthan
Professor of Computer Science and Society
+44 (0)1908 653584
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, Kevin Swinton, Kai Waddington
News
24 Nov 2020
13 Jul 2020
14 Nov 2019
08 Mar 2019
27 Feb 2019
Publications
Peng, X., Zheng, Y., Lin, C. and Siddharthan, A. (2021) Summarising Historical Text in Modern Languages, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics
Anderson, H., Robinson, A., Siddharthan, A., Sharma, N., Bostock, H., Salisbury, A., Roberts, S. and Wal, R. (2020) Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators, Scientific Reports, 10, 20483, Nature Publishing Group UK
Siddharthan, A., Ponnamperuma, K., Mellish, C., Zeng, C., Heptinstall, D., , A., Benn, S. and Wal, R. (2019) Blogging Birds: Telling informative stories about the lives of birds from telemetric data, Communications of the ACM, 62, 3, pp. 68-77, ACM
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
Sharma, N., Sam, G., Colucci-Gray, L., Siddharthan, A. and Wal, R. (2019) From Citizen Science to Citizen Action: Analysing the potential of a digital platform to create new environmental subjectivities, Journal of Science Communication, 18, pp. 1-35, SISSA Medialab
