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SEDS Annual Summit

Monday 20 May - Tuesday 21 May 2019

Wolfson Theatre & Foyer, New Academic Building, LSE

The 2019 SEDS Annual Summit was hosted at LSE on Monday 20 May and Tuesday 21 May 2019.

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. 


------ 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