To explore previous events with some additional material including event recordings, summaries and write ups visit the event category pages: Public Events, Research Events, Student Events, CIVICA Research Seminars, and DSI Squared Events.
All Upcoming Events
Careers in Data Science
Data Science across industries
03 December 2024 | 4.00pm to 5.30pm
Speaker: Christian Svalesen, Senior Machine Learning Engineer at SoundCloud.
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Public event
Feeding the machine: the hidden human labour powering AI
Wednesday 04 December 2024 6.30pm to 8.00pm
Location: Hong Kong Theatre, Clement House, LSE
Speakers: Mark Graham, Director of Fairwork, James Muldoon, Reader in Management at the University of Essex, Kirsten Sehnbruch, Professor and Distinguished Policy Fellow at the International Inequalities Institute, LSE.
Chair: Kate Vredenburgh, Assistant Professor, Department of Philosophy, Logic and Scientific Method, LSE.
Hosted by the Data Science Institute and the International Inequalities Institute, LSE.
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Research event
DSI Research Showcase
Friday 06 December 2024 04:00pm to 5:30pm
Location: MAR 1.08, Marshall Building, LSE
Speakers: Kaveh Salehzadeh-Nobari, Astrid Krenz, Jon Cardoso-Silva, LSE
Chair: Martin Anthony, Director of the Data Science Institute, LSE
Hosted by The Data Science Institute, LSE.
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Public event
Genesis: artificial intelligence, hope and the human spirit
Thursday 30 January 2025 6.30pm to 8.00pm
Location: Sheikh Zayed Theatre, Cheng Kin Ku Building, LSE
Speakers: Craig Mundie, President of Mundie & Associates; Mairéad Pratschke, Professor and Chair in Digitial Education, University of Manchester.
Chair: Martin Anthony, Interim Director of the Data Science Institute, LSE.
Hosted by the Data Science Institute
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Public event
Rethinking good technology: feminism, AI and ethical futures
Tuesday 11 March 2025 6.30pm to 8.00pm
Location: Old Theatre, Old Building, LSE
Speaker: Eleanor Drage, Senior Research Fellow, University of Cambridge.
Chair: Asiya Islam, Assistant Professor, Department of Gender Studies, LSE.
Hosted by the Data Science Institute and the Department of Gender Studies
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