Paper accepted at ICML
Our paper, “Balancing Competing Objectives for Welfare-Aware Machine Learning with Imperfect Data”, was accepted for oral presentation at the International Conference on Machine Learning (IMCL 2020). Full citation below: Rolf, E., Simchowitz, M., Dean, S., Liu, L., Bj{\”o}rkegren, D., Hardt,... Read More →
New grant to study housing insecurity caused by COVID-19
A team led by lab Director Joshua Blumenstock, along with Karen Chapple and Matthew Desmod, has received a grant to investigate and address eviction spikes and displacement risks related to COVID-19. They’re among the first grantees of the newly created... Read More →
NSF CAREER award announced
Lab director Blumenstock was recently awarded the prestigious NSF CAREER Award (Faculty Early Career Development Program). The grant provides 5 years of funding for a new research agenda focused on “Welfare-Centric Machine Learning”. Read more about the award here.
Forthcoming paper at ICTD 2020
Niall Keleher, Joshua Blumenstock, and co-authors had a paper accepted for publication at the The 11th International ACM/IEEE Conference on Information & Communication Technologies and Development (ICTD 2020), to be held in Guayaquil, Ecuador. ICTD is the premiere venue for... Read More →
3 papers to be presented at Pac-Dev
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 →
Blumenstock gives opening keynote at OECD
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 →
Best paper award
We won a best paper award at the NuerIPS Joint Workshop on AI for Social Good for our paper, Balancing Competing Objectives for Welfare-Aware Machine Learning with Imperfect Data. Congrats everyone!
Big Ag Data Conference
Emily Aiken and Joshua Blumenstock will be giving talks at the Big Ag Data Conference at UC Davis on Jan 10. Catch them at 11am: The Promise (and Pitfalls) of Using Mobile Phone Data in Development Research, Josh Blumenstock Can Mobile... Read More →
Papers to be presented at NeurIPS
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 →
Lab welcomes Emily Aiken and Suraj Nair!
Emily Aiken and Suraj Nair recently joined the Data-Intensive Development Lab! Read more about them here.