Innovations in Methods and Data

The emerging challenges facing the poor around the world are increasingly complex, and can be difficult to measure and track over time. Methodological advances are needed to generate and use novel data sources that can better inform the issues at play as well as improve the ability of governments and other stakeholders to monitor and measure the effectiveness of programs and policies that tackle these challenges.
Related People
- Professor of Economics
- Professor of Medicine
- Postdoctoral Fellow | 2021 - 2023
- Professor of Civil and Environmental Engineering
- Postdoctoral Fellow | Sustainability and Artificial Intelligence Lab
- Postdoctoral Fellow | Stanford Human Trafficking Data Lab
- Assistant Professor of Medicine
- Postdoctoral Fellow | 2020 - 2022
- Landau Professor in Economics Policy
- Assistant Professor of Management Science and Engineering
- Professor of Earth System Science
- Postdoctoral Fellow | Woods Institute for the Environment
- Henry J. Kaiser, Jr. Professor, School of Medicine
- Professor of Biology
- Assistant Professor of Finance
Related News
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Putting machine learning to work for development
A team of researchers have created a machine-learning tool to encourage the development of new ways to measure progress on the UN’s Sustainable Development Goals.
November 08, 2021
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Protecting health care workers in low-resourced Bangladesh
Faculty Affiliates Michele Barry, Stephen Luby, and Manu Prakash are working to protect health care workers in low-resourced Bangladesh.
August 09, 2021
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Harnessing digital technologies to advance global precision health and development
A panel of experts discussed technology's vast potential to promote public health and its many challenges
July 16, 2021
Related Working Papers
- Fei, J., Wolff, J., Hotard, M., Ingham, H., Khanna, S., Lawrence, D., Tesfaye, B., Weinstein, J., Yasenov, V., & Hainmueller, J. (2022). Automated Chat Application Surveys Using WhatsApp: Evidence from Panel Surveys and a Mode Experiment.
- Ratledge, N., Cadamuro, G., De la Cuesta, B., Stigler, M., & Burke, M. (2021). Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access.
- Burke, M., Driscoll, A., Lobell, D., & Ermon, S. (2020). Using Satellite Imagery to Understand and Promote Sustainable Development.