The 2019 SEDS Annual Summit was hosted at LSE on 20 and 21 May 2019 in the Wolfson Theatre and Foyer of the New Academic Building, LSE.
This summit brought together academics, students and industrial participants with interests in applied and methodological aspects of data science. The event helped provide an opportunity for attendees from LSE and beyond to connect, discuss and showcase various ongoing activities – as well as facilitate future collaborations in the data science area.
The programme featured invited talks by academic and industry speakers as well as poster sessions showcasing the work of current LSE students. There were also lectures on data dcience research projects at the LSE and presentations of data science courses taught at LSE.
Programme:
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Monday 20 May 2019 |
| 09:00-09:30 |
Registration |
| 09:30-10:00 |
Welcome and introduction to SEDS and Data Science at LSE
Professor Simon Hix
Pro-Director (Research), LSE
Professor Milan Vojnovic
Department of Statistics, LSE
|
| 10:00-11:00 |
Towards robust and explainable artificial intelligence
Pushmeet Kohli
Head of Research, Science Team Research Lead, Secure Machine Learning
Google DeepMind |
| 11:00-11:30 |
Coffee break |
| 11:30-12:30 |
Where should I place my sensors? Sensor networks meet probabilistic inference and game theory
Enrique Munoz de Cote
Director of Multi-Agent Science, PROWLER.io
|
| 12:30-14:00 |
Lunch and research poster sessions
Analysing company networks
Aari Purwaha and Surbhi Kapoor
Fake news on Twitter during the 2016 US election
Qiang Ha and Hongjin Lin
Exploring correlation between amount of supplied information and perceived quality of recommendation
Konstanty Kowalewski, Wian Stipp and Jakub Grohmann
Inferring user profiles from text
Pegah Maham and Khushbakth Irfanullah
Personalised learning to rank
Michalia Panagiotidi and Jurriaan Parie
Political language analysis in Italian Parliament
Jiaxi Geng and Wei Sun
Convergence rates of gradient descent and MM algorithms for Bradley-Terry models
Kaifang Zhou
Market changes, moving cycles - Bayesian inference for hidden semi-Markov models
Patrick Aschermayr
Understanding automated decisions
Alison Powell |
| 14:00-15:00 |
Democratising mechanism design education and research in Sub-Saharan Africa
Eric Sodomka
Research Scientist Manager, Facebook |
| 15:00-16:00 |
Data Science to support building evidence-based and ethical wellbeing services
Aleksandar Matic
Head of Research, Telephonica Alpha |
| 16:00-16:30 |
Coffee break |
| 16:30-17:30 |
Data driven decision making at Tesco
Robert Armstrong
Data Science Director, Tesco |
| 17:30-18:30 |
Reception |
| |
Tuesday 21 May 2019 |
| 09:30-10:30 |
Presentation of Data Science degree programmes
MSc in Data Science
MSc in Applied Social Data Science
MSc in Operations Research and Analytics
MSc in Media and Communications (Data and Society)
|
| 10:30-11:00 |
Coffee break |
| 11:00-12:30 |
LSE Data Science alumni talks
Andrew Davidson - Analytics Consultant, Concentra Analytics
Annalisa Eichholzer - Commerical Coordinator, Open Data Institute
Michal Heydel - Data Scientist, QuantCo
Sid Rajagopalan - Business Developer, Palantir
|
| 12:30-14:00 |
Lunch |
| 14:00-16:00 |
LSE Data Science research talks
A latent factor model with a nonnegative component with application to cheating detection in educational teaching
Dr Yunxiao Chen
Department of Statistics, LSE
Modelling within-household associations in household panel studies
Professor Fiona Steele
Department of Statistics, LSE
The emergence of inequality in network cooperation games: A meta re-analysis of experimental data
Dr Milena Tsvetkova
Department of Methodology, LSE |