News

The lab had three papers accepted for presentation at the 13th annual Pacific Conference for Development Economics (PacDev), one of the major annual conferences dedicated to development economics. Citation details are below: Aiken, E., and Blumenstock, J.E. (2020). Targeting Humanitarian... Read More →

Pro Blumenstock will be giving the opening keynote “New Data Sources and Statistical Capacity: The Potential (and Limits) of Recent Innovations”, at the OECD. The event is part of a UN-organized conference on New Approaches to Capacity Development for Better... Read More →

We’ll be presenting two different papers at NeurIPS Joint Workshop on AI for Social Good and the Workshop on Machine Learning for the Developing World: Rolf, E, Simchowitz, M, Dean, S, Liu, L, Björkegren, D, Hardt, M, and Blumenstock, JE (2019). Balancing Competing... Read More →

Emily Aiken and Suraj Nair recently joined the Data-Intensive Development Lab! Read more about them here.

Many thanks to Google Cloud Platform for providing the lab with a compute award!

We received an Amazon Machine Learning Research Award for our work on Welfare-Sensitive Machine Learning.

Lab Director Joshua Blumenstock was selected to receive the Chancellor’s Award for Public Service. This award recognizes faculty members for research that addresses critical issues affecting our local, state, national, or global communities.

PhD student Raza Khan and Lab director Joshua Blumenstock had a paper accepted at AAAI: Khan, MR, and Blumenstock, JE (2019). Multi-CGN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, HI... Read More →

Prof. Blumenstock’s paper, The strength of long-range ties in population-scale social networks, was published in the current issue of Science.

Prof. Blumenstock will be giving a keynote address at the NeurIPS workshop on Machine Learning for the Developing World (ML4D) in Montreal.