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SUMMARY:Inaugural Lecture – Prof. Robert West
DTSTART:20240516T180000
DTEND:20240516T185500
DTSTAMP:20261028T160239Z
UID:1a5b1ef1158e654ae1f962c594795e0b98373f5a1415f5536575b68c
CATEGORIES:Inaugural lectures - Honorary Lecture
DESCRIPTION:Prof. Robert West\nDate: Thursday 16 May 2024\n\nProgram: \n
 \n	18:00-18:10: Introduction by Prof. Rüdiger Urbanke\, Dean of the IC S
 chool\n	18:10-18:40 Inaugural Lecture Prof. Robert West\n	18:40-18:55: Q 
 & A\n	18:55-20:30: Apéritif in the FoodLab Alpine restaurant\n\nLocation:
   CM 1 3\n\nRegistration: Click here\n\n*********************************
 **************************\n\nProf. Robert West\n\nHuman Data Science\n\nA
 bstract\nToday\, humans and computers inherently coexist. Not only do digi
 tal platforms capture human behavior\, they shape human behavior. Much of 
 human behavior is what it is precisely because it takes place on digital p
 latforms. Therefore\, in the 21st century\, the study of humans and the st
 udy of computers are inseparable. In the EPFL Data Science Lab (dlab)\, we
  embrace the close coexistence of humans and computers and leverage the ma
 ssive amounts of data that humans generate when interacting with computers
  in order to derive useful insights into human behavior\, build causal mod
 els of human behavior\, and develop practical tools\, algorithms\, and met
 hods\, with the ultimate goal of improving human lives using data. In this
  talk\, I will showcase how my lab works toward this goal by blending arti
 ficial intelligence\, natural language processing\, and computational soci
 al science.\n\n \nAbout the speaker\nRobert West is an associate professo
 r of computer science at EPFL\, where he heads the Data Science Lab (dlab)
 . His research aims to make sense of large amounts of data by developing a
 nd applying algorithms and techniques in natural language processing\, mac
 hine learning\, and computational social science. Typically\, the data he 
 works with is generated by humans (e.g.\, natural language or behavioral t
 races)\, and frequently it is collected on the Web (e.g.\, using wikis\, o
 nline news\, social media\, server logs\, online games). Bob received his 
 PhD in Computer Science from Stanford University (2016)\, his MSc from McG
 ill University (2010)\, and his undergraduate degree from Technische Unive
 rsität München (2007). He is a Wikimedia Foundation Research Fellow\, an
  Associate Editor of ICWSM and EPJ Data Science\, and a co-founder of the 
 Wiki Workshop and the Applied Machine Learning Days. His work has won seve
 ral awards\, including best/outstanding paper awards at ICWSM’21\, ICWSM
 ’19\, and WWW’13\, a Google Faculty Research Award\, a Facebook Resear
 ch Award\, the ICWSM’22 Adamic–Glance Distinguished Young Researcher A
 ward\, and an SNSF Starting Grant. 
LOCATION:SG 1138 https://plan.epfl.ch/?room==SG%201138
STATUS:CONFIRMED
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