News Emily Aiken

05/2023
I will be at ICLR '23. Find our work presented at the workshop on Practical ML for Development (10:15am on Friday) and the workshop on ML for Remote Sensing (3pm on Friday).
04/2023
Our paper on fairness in satellite-based poverty mapping was accepted at IJCAI '23!
03/2023
I coauthored a policy review paper for GIZ on digital data in social protection. We will present the report in a public webinar on April 25.
03/2023
Two workshop papers accepted at ICLR 2023: An oral presentation on our work on fairness in satellite-based poverty prediction at ML for Remote Sensing and an oral presentation on active learning at Practical ML for Development.
12/2022
Our paper on phone-based hybrid approaches to ultra-poverty targeting in Afghanstian was published in the Journal of Development Economics.
12/2022
I wrote an article for UNDP's Policy in Focus magazine on mobile phones and cash transfers in Togo.
11/2022
Our short paper on adaptive sampling for poverty prediction was accepted to the NeurIPS workshop on AI for humanitarian assistance and disaster response (AI+HADR '22).
10/2022
I will present our work on impact evaluation from digital data at CODE@MIT and the UPenn Big Data for Development and Governance Conference.
08/2022
I will present our work on fairness in satellite-based poverty mapping at the KDD Workshop on Humanitarian Mapping.
07/2022
Our paper on phone sharing won the best paper award at COMPASS '22!
05/2022
We had a paper and a poster accepted at COMPASS '22.
05/2022
I will give a talk and a tutorial on satellite-based poverty mapping at MeasureDev 2022.
04/2022
We released cider, an open source python library for poverty targeting with satellite imagery and phone data. Cider was reviewed by the UN Center for Humanitarian Data.
03/2022
Our paper was selected for the cover of the March 29 print issue of Nature!
03/2022
Our paper on AI targeting of humanitarian aid in Togo was published in Nature! We also wrote a feature on our work for The Conversation, and it was covered in an article for Berkeley's Divison of Computing, Data Science, and Society.
12/2021
Our work on AI targeting of COVID-19 cash transfers with the government of Togo and GiveDirectly recieved a Paris Peace Forum award and a South by Southwest Innovation Award.
11/2021
I will give a keynote at the NeurIPS workshop on AI for Humanitarian Assistance and Disaster Response (AI+HADR 2021).
10/2021
I received a Microsoft Research PhD Fellowship for 2022-2024!
10/2021
I presented our work on targeting aid with mobile phone data at IPA's Methods and Measurement Conference and CEGA's Evidence to Action Conference.
09/2021
Our paper on targeting humanitarian aid in Togo was selected for presentation at TCD/CEPR Workshop in Development Economics 2021.
07/2021
Our paper on targeting humanitarian aid in Togo was selected for presentation at NBER Economics of AI 2021.
06/2021
Our work on targeting cash transfers in Togo was covered in Wired, NPR, BBC, FastCompany, and Reuters.
05/2021
I presented our work on targeting cash transfers in Togo at Good Tech Fest 2021 with Han Sheng Chia from GiveDirectly.
04/2021
Our work on targeting aid with mobile phone data in Afghanistan was covered in The Economist.