Member
Advaith Siddharthan 
Reader
+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
News
08 Mar 2019
27 Feb 2019
22 Jan 2019
07 May 2018
23 Jun 2017
Publications
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., 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
Kuptavanich, K., Reiter, E., Deemter, K. and Siddharthan, A. (2018) Generating Summaries of Sets of Consumer Products: Learning from Experiments, Proceedings of the 11th International Conference on Natural Language Generation, Tilburg, The Netherlands, pp. 403-407
Wibowo, A., Siddharthan, A., Masthoff, J. and Lin, C. (2018) Understanding how to Explain Package Recommendations in the Clothes Domain, Workshop: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS) at 12th ACM Conference on Recommender Systems (RecSys), Vancouver, Canada
