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X-WR-CALNAME:Data Science for Justice
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260908T061638Z
UID:tag:localist.com\,2008:EventInstance_44216856436838
DTSTART:20231109T200000Z
DTEND:20231109T211500Z
DESCRIPTION:Can data science improve the functioning of courts\, and unlock
  the positive effects of institutions on development? In a nationwide expe
 riment in Kenya\, we use algorithms to identify the greatest sources of co
 urt delay for each court and recommend actions. We randomly assign courts 
 to receive no information\, information\, or an information and accountabi
 lity intervention. Information and accountability reduces case duration by
  22%. Using continuous household surveys\, we find that in regions with tr
 eated courts\, workers were more likely to have formal contracts and highe
 r wages\, especially in contract-intensive industries. These results demon
 strate a causal relationship between judicial institutions and economic de
 velopment.\n\nABOUT THE SPEAKER\n\nDaniel Li Chen is Director of Research 
 at the CNRS and Professor at the Toulouse School of Economics. He is also 
 a Senior Fellow at the IAST and the founder of oTree Open Source Research 
 Foundation and Data Science Justice Collaboratory. Chen was previously Cha
 ir of Law and Economics and co-founder of Law and Economics Center at ETH\
 ; he was a tenure-track assistant professor in Law (primary)\, Economics\,
  and Public Policy at Duke University.    \n\nHe received his BA (Summa Cu
 m Laude\, Phi Beta Kappa) and MS from Harvard University in Applied Mathem
 atics and Economics\; completed his Economics PhD from MIT\; and obtained 
 a JD from Harvard Law School.    \n\nChen uses his extensive empirical tra
 ining to tackle longstanding legal questions previously difficult to empir
 ically analyze. He has attained prominence through the development of open
  source tools to study human behavior and through large-scale empirical st
 udies — data science\, artificial intelligence\, and machine learning 
 — on the relationship between law\, social norms\, and the enforcement o
 f legal norms\, and on judicial systems.
LOCATION:
SUMMARY:Data Science for Justice
URL;VALUE=URI:https://events.stanford.edu/event/data_science_for_justice
CATEGORIES:Class/Seminar
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