June 16 - June 29, 2019 | ETH Zürich
Participants arrive
11:00 - 12:15 Apéro
12:15 - 12:50 Introduction to the course
13:00 - 13:50 Participants’ small talks (5 people)
13:50 - 14:20 Lunch
14:20 - 15:10 Participants’ small talks (5 people)
15:30 - 18:30 Introduction and Ethics (live From Princeton)
22:00 - 23:30 Guest speaker: Alondra Nelson (live From Princeton)
12:15 - 13:05 Participants’ small talks (5 people)
13:05 - 13:35 Lunch
13:35 - 14:25 Participants’ small talks (5 people)
14:35 - 15:05 Discussion and feedback
15:15 - 18:30 Collecting Digital Trace Data (live From Princeton)
22:00 - 23:30 Guest speaker: Beth Noveck (live From Princeton)
12:15 - 13:45 Introduction to Natural Language Processing (NLP) : Kornélia Papp
13:45 - 14:15 Lunch
14:15 - 15:00 Discussion of the previous day’s lecture and materials
15:15 - 18:30 Automated Text Analysis (live From Princeton)
18:30 - 20:00 Guest Speaker: Jennifer Pan (live From Princeton)
12:15 - 13:45 Data Science for Law and Political Economy : Elliott Ash
13:45 - 14:15 Lunch
14:15 - 15:00 Discussion of the previous day’s lecture and materials
15:15 - 18:30 Surveys in the Digital Age (live From Princeton)
21:15 - 21:45 Surveys in the Digital Age (live From Princeton)
22:00 - 23:30 Guest speaker: Justin Grimmer (live From Princeton)
12:15 - 13:00 Discussion of the previous day’s lecture and materials
13:00 - 13:30 Lunch
13:30 - 15:00 Guest speaker : Dirk Helbing
15:15 - 17:30 Mass collaboration (live From Princeton)
22:00 - 23:30 Guest speaker: Annie Liang (live From Princeton)
12:15 - 13:45 Introduction to Distributed Computing : Roger Wattenhofer
13:45 - 14:05 Lunch
14:05 - 15:00 Group allocation and mturk task discussion
15:15 - 17:00 Experiments (live From Princeton)
17:15 - 18:15 High-throughput behavioral science using virtual labs by guest speaker Abdullah Almaatouq (SICSS 2017) (live From Princeton)
12:15 - 13:45 Introduction to Machine Learning : Elena Labzina (Workshop Part 1)
13:45 - 14:15 Lunch
14:15 - 15:00 Project progress discussion
18:30 - 19:30 Guest speaker: Eric Schwartz (Editorial Director, Columbia University Press) (live From Princeton)
12:15 - 13:45 Introduction to Machine Learning : Elena Labzina (Workshop Part 2)
13:45 - 14:15 Lunch
14:15 - 15:00 Project progress discussion
18:30 - 20:00 Guest speaker: Chris Wiggins (live From Princeton)
12:15 - 13:45 Improving refugee integration through data-driven algorithmic assignment : Dominik Hangartner
13:45 - 14:15 Lunch
14:15 - 15:00 Project progress discussion
12:15 - 13:45 Introduction to statistical models for social network analysis : Christoph Stadtfeld
13:45 - 14:15 Lunch
14:15 - 15:00 Does Politicized Media Distort Political Discourse? Evidence from U.S Cable News Channels : Elena Labzina
10:30 - 13:45 Project presentations
13:45 - 16:00 Final Lunch and concluding remarks
Participants depart
You can host a partner location of the Summer Institutes of Computational Social Science (SICSS) at your university, company, NGO, or government agency.