The East African Social Science Translation (EASST) Collaborative invites East African researchers to apply for a 4-month fellowship (sabbatical) at UC Berkeley to build skills in rigorous social science research and impact evaluation, to be completed during Fall 2018, or Spring 2019.
CEGA Releases Febuary 2018 Impact Note
This month's Impact Note features the new CEGA affiliates, new CEGA blog content, the Journal of Development Economics' pre-results review pilot project, and the upcoming Revolutionizing Data for Public Good event in SF.
More new content on the CEGA Blog
Last month, the CEGA blog profiled an EASST fellow alum,covered the recent WGAPE meeting in Abu-Dhabi, recapped our annual photo drive, and interviewed new CEGA affiliate Alfredo Burlando. Take a look! We look forward to continuing this momentum and sharing more of our newest and most exciting research with you every week. Stay tuned!
CEGA is Hiring!
We are hiring another postdoctoral scholar with a PhD in economics, public health, epidemiology, public policy, statistics, or a related field to join the Long-term Impact Discovery project’s research team and build a database of randomized evaluations that are strong candidates for long-term follow-up. We are also hiring a Communications intern to support the operations team.
Photo Credit: ACRE Africa
Featured EventWorking Group in African Political Economy (WGAPE) Spring 2018 Meeting
May 18, 2018 — May 19, 2018
Paul Gertler on how to make replication the norm
The piece, published in Nature, is the result of a BITSS SSMART project for which the authors attempted to reproduce tables from studies published in economics journals with open data policies. After which, they recommend that journal replication policies should be better designed and enforced to incentivize replicability, make replication easier, and reduce replicator and publisher bias.
CEGA Featured on 80,000 Hours Podcast
The 80,000 Hours podcast recently interviewed CEGA Data Scientist Ofir Reich about his work using data science to fight poverty. In it, they discuss the use of machine learning to identify tax evaders in New Delhi, the importance of research transparency, and the Center’s connection to the broader effective altruism movement.