Member
Advaith Siddharthan
Professor of Computer Science and SocietyMy 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
News
16 Jul 2024
20 Mar 2024
15 Jul 2022
08 Jun 2022
25 Jan 2022
Publications
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
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
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
Ao, S., Rüger, S. and Siddharthan, A. (2023) Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration, Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Pittsburgh, PA, USA
Schiller, D., Yu, A., Alia-Klein, N., Becker, S., Cromwell, H., Dolcos, F., Eslinger, P., Frewen, P., Kemp, A., Pace-Schott, E., Raber, J., Silton, R., Stefanova, E., Williams, J., Abe, N., Aghajani, M., Albrecht, F., Alexander, R., Anders, S., Aragón, O., Arias, J., Arzy, S., Aue, T., Baez, S., Balconi, M., Ballarini, T., Bannister, S., Banta, M., Barrett, K., Belzung, C., Bensafi, M., Booij, L., Bookwala, J., Boulanger-Bertolus, J., Boutros, S., Bräscher, A., Bruno, A., Busatto, G., Bylsma, L., Caldwell-Harris, C., Chan, R., Cherbuin, N., Chiarella, J., Cipresso, P., Critchley, H., Croote, D., Demaree, H., Denson, T., Depue, B., Derntl, B., Dickson, J., Dolcos, S., Drach-Zahavy, A., Dubljević, O., Eerola, T., Ellingsen, D., Fairfield, B., Ferdenzi, C., Friedman, B., Fu, C., Gatt, J., deGelder, B., Gendolla, G., Gilam, G., Goldblatt, H., Gooding, A., Gosseries, O., Hamm, A., Hanson, J., Hendler, T., Herbert, C., Hofmann, S., Ibanez, A., Joffily, M., Jovanovic, T., Kahrilas, I., Kangas, M., Katsumi, Y., Kensinger, E., Kirby, L., Koncz, R., Koster, E., Kozlowska, K., Krach, S., Kret, M., Krippl, M., Kusi-Mensah, K., Ladouceur, C., Laureys, S., Lawrence, A., Li, C., Liddell, B., Lidhar, N., Lowry, C., Magee, K., Marin, M., Mariotti, V., Martin, L., Marusak, H., Mayer, A., Merner, A., Minnier, J., Moll, J., Morrison, R., Moore, M., Mouly, A., Mueller, S., Mühlberger, A., Murphy, N., Muscatello, M., Musser, E., Newton, T., Noll-Hussong, M., Norrholm, S., Northoff, G., Nusslock, R., Okon-Singer, H., Olino, T., Ortner, C., Owolabi, M., Padulo, C., Palermo, R., Palumbo, R., Palumbo, S., Papadelis, C., Pegna, A., Pellegrini, S., Peltonen, K., Penninx, B., Pietrini, P., Pinna, G., Lobo, R., Polnaszek, K., Polyakova, M., Rabinak, C., HeleneRichter, S., Richter, T., Riva, G., Rizzo, A., Robinson, J., Rosa, P., Sachdev, P., Sato, W., Schroeter, M., Schweizer, S., Shiban, Y., Siddharthan, A., Siedlecka, E., Smith, R., Soreq, H., Spangler, D., Stern, E., Styliadis, C., Sullivan, G., Swain, J., Urben, S., Stock, J., Kooij, M., Overveld, M., Rheenen, T., VanElzakker, M., Ventura-Bort, C., Verona, E., Volk, T., Wang, Y., Weingast, L., Weymar, M., Williams, C., Willis, M., Yamashita, P., Zahn, R., Zupan, B., Lowe, L., Gabriela, G., F, H. and Leonie, L. (2023) The Human Affectome, pp. (Early access), Elsevier