I work on machine learning and digital data, applied in low income economies.

I am Assistant Professor of International and Public Affairs at Columbia University. I lead the AI and Development initiative at CDEP, am an affiliate of BREAD and J-PAL, and a member of the Data Science Institute. I have a PhD in economics from Harvard University.
My contact is dan[@]bjorkegren[.]com and office is IAB 1401B.



Selected writing:
Could AI Leapfrog the Web? Evidence from Teachers in Sierra Leone
with Jun Ho Choi, Divya Budihal, Dominic Sobhani, Oliver Garrod, and Paul Atherton
Media: Development Impact
Artificial Intelligence for the Poor
Foreign Affairs (2023)
Media: The Economist, BBC World Service
What Do Policies Value?
with Samsun Knight and Joshua Blumenstock
Accepted, Review of Economic Studies
Manipulation-Robust Prediction
with Joshua Blumenstock and Samsun Knight
Revision requested (third round), American Economic Review
The Adoption of Network Goods: Evidence from the Spread of Mobile Phones in Rwanda
Review of Economic Studies (2019)
Score-Based Classifiers for Welfare-Aware Machine Learning
Rolf, Simchowitz, Dean, Liu, Björkegren, Hardt, and Blumenstock
International Conference on Machine Learning (ICML) (2020)