| Machine learning and phone data can improve targeting of humanitarian aid E Aiken, S Bellue, D Karlan, C Udry, JE Blumenstock Nature 603, 864-870, 2022 | 154* | 2022 |
| Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan EL Aiken, G Bedoya, JE Blumenstock, A Coville Journal of Development Economics 161, 103016, 2023 | 61* | 2023 |
| Toward the use of neural networks for influenza prediction at multiple spatial resolutions EL Aiken, AT Nguyen, C Viboud, M Santillana Science Advances 7 (25), eabb1237, 2021 | 33 | 2021 |
| Real-time estimation of disease activity in emerging outbreaks using internet search information EL Aiken, SF McGough, MS Majumder, G Wachtel, AT Nguyen, C Viboud, ... PLoS computational biology 16 (8), e1008117, 2020 | 20 | 2020 |
| Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy E Aiken, E Rolf, J Blumenstock arXiv preprint arXiv:2305.01783, 2023 | 4 | 2023 |
| Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data E Aiken, V Thakur, J Blumenstock Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and …, 2022 | 2 | 2022 |
| Estimating Impact with Surveys versus Digital Traces: Evidence from Randomized Cash Transfers in Togo E Aiken, S Bellue, J Blumenstock, D Karlan, CR Udry National Bureau of Economic Research, 2023 | 1 | 2023 |
| Privacy Guarantees for Personal Mobility Data in Humanitarian Response N Kohli, E Aiken, J Blumenstock arXiv preprint arXiv:2306.09471, 2023 | 1 | 2023 |
| Can Strategic Data Collection Improve the Performance of Poverty Prediction Models? S Soman, E Aiken, E Rolf, J Blumenstock arXiv preprint arXiv:2211.08735, 2022 | 1 | 2022 |
| Note: Home location detection from mobile phone data: Evidence from togo R Warren, E Aiken, J Blumenstock Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and …, 2022 | 1 | 2022 |
| Moving targets: When does a poverty prediction model need to be updated? E Aiken, T Ohlenburg, J Blumenstock Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and …, 2023 | | 2023 |
| Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian E Aiken, S Bellue, D Karlan | | 2021 |
| Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance J Blumenstock, E Aiken, S Bellue, C Udry, D Karlan CEPR Discussion Papers, 2021 | | 2021 |
| Machine Learning for Epidemiological Prediction E Aiken | | 2019 |
