東京大学社会科学研究所では、UCバークレーとの戦略的パートナーシップ事業の一環として、実験の手法を用いた政治経済行動論、社会政策研究がご専門のCecilia Mo助教授の講演会を開催することとなりました。Mo先生は、近年4つの学会賞を獲得された新進気鋭の若手研究者です。3月25日（月）、3月26日（火）の両日に本郷キャンパスで異なる内容の講演会を行います（講演会の詳細につきましては、以下を御覧下さい）。

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記

講演会

“When Do the Advantaged See the Disadvantages of Others? A Quasi-Experimental Study of National Service”

◆日時：

2019年3月25日（月） 17時30分～19時（17時開場）

◆会場：

東京大学本郷キャンパス　赤門総合研究棟549号室
（キャンパスマップ）
https://www.u-tokyo.ac.jp/campusmap/cam01_08_02_j.html

◆要旨：

Are there mechanisms by which the advantaged can see the perspectives of the disadvantaged? If advantaged individuals have prolonged engagement with disadvantaged populations and confront issues of inequality through national service, do they see the world more through the lens of the poor? We explore this question by examining Teach For America (TFA), as TFA is a prominent national service program that integrates top college graduates into low-income communities for two years and employs a selection model that allows for causal inference. A regression discontinuity approach, utilizing an original survey of over 32,000 TFA applicants and TFA’s selection data for the 2007?2015 application cycles, reveals that extended intergroup contact in a service context causes advantaged Americans to adopt beliefs that are closer to those of disadvantaged Americans. These findings have broad implications for our understanding of the impact of intergroup contact on perceptions of social justice and prejudice reduction.

◆URL：

https://utokyo.ucberkeley.jp/ja/news_and_events/lecture_mo1

講演会

“Observational Open Science: An Application to the Literature on Irrelevant Events and Voting Behavior”

◆日時：

3月26日（火）11時00分～12時30分（10時30分開場）

◆会場：

東京大学本郷キャンパス　赤門総合研究棟549号室
（キャンパスマップ）
https://www.u-tokyo.ac.jp/campusmap/cam01_08_02_j.html

◆要旨：

Replication and transparency have become increasingly important in bolstering the credibility of political science research, yet open science tools are typically designed for experiments. For observational studies, which make up the bulk of political science, current practice suffers from an important pathology: just as researchers can often “p-hack’’ their way to initial findings, it is often possible to “null hack’’ a finding away through specification and case search. We propose an observational open science (OOS) framework that consists of (1) leveraging the passage of time to add new out-of-sample cases, (2) independent collection of all data, (3) pre-registration of alternative specifications, (4) multiple simultaneous replications, and (5) collaboration between original authors and skeptics. We apply the approach to three highly cited studies in the literature on “irrelevant’’ events and voting behavior. On some dimensions, the studies all replicated quite well. On other dimensions, they replicated quite poorly. Had we sought to debunk any of these three studies in a conventional approach to replication with ex post specification search, we could have easily done so. However, given that we conducted pre-registered analyses, we have a more accurate sense of the full and complicated picture. We conclude with suggestions for future refinements to our approach.

◆URL：

https://utokyo.ucberkeley.jp/ja/news_and_events/lecture_mo3