Emily L. Aiken

According to our database, Emily L. Aiken authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Expanding Perspectives on Data Privacy: Insights from Rural Togo.

Zoe Kahn, Meyebinesso Farida Carelle Pere, Emily L. Aiken, Nitin Kohli, Joshua E. Blumenstock

Proc. ACM Hum. Comput. Interact., 2025

2024

Targeting Social Protection Programs with Machine Learning and Digital Data

Emily L. Aiken

PhD thesis, 2024

2023

Privacy Guarantees for Personal Mobility Data in Humanitarian Response.

Nitin Kohli, Emily L. Aiken, Joshua Blumenstock

CoRR, 2023

Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy.

Emily L. Aiken, Esther Rolf, Joshua Blumenstock

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Moving targets: When does a poverty prediction model need to be updated?

Emily L. Aiken, Tim Ohlenburg, Joshua Blumenstock

Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 2023

2022

Machine learning and phone data can improve targeting of humanitarian aid.

Emily L. Aiken, Suzanne Bellue, Dean S. Karlan, Chris Udry, Joshua E. Blumenstock

Nat., 2022

Can Strategic Data Collection Improve the Performance of Poverty Prediction Models?

Satej Soman, Emily L. Aiken, Esther Rolf, Joshua Blumenstock

CoRR, 2022

Program Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan.

Emily L. Aiken, Guadalupe Bedoya, Joshua Blumenstock, Aidan Coville

CoRR, 2022

Note: Home Location Detection from Mobile Phone Data: Evidence from Togo.

Rachel B. Warren, Emily L. Aiken, Joshua Blumenstock

Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data.

Emily L. Aiken, Viraj Thakur, Joshua Blumenstock

Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

2020

Real-time estimation of disease activity in emerging outbreaks using internet search information.

Emily L. Aiken, Sarah F. McGough, Maimuna S. Majumder, Gal Wachtel, André T. Nguyen, Cécile Viboud, Mauricio Santillana

PLoS Comput. Biol., 2020

Targeting Development Aid with Machine Learning and Mobile Phone Data.

Emily L. Aiken, Guadalupe Bedoya, Aidan Coville, Joshua E. Blumenstock

Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020

2019

Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions.

Emily L. Aiken, André T. Nguyen, Mauricio Santillana

CoRR, 2019