Ep422 - Edward 'Ted' Miguel | Open Science: Assessing How to Do Good Better
Feb 20, 2024
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Global development leader, professor, and author Edward 'Ted' Miguel discusses open science in poverty reduction. Topics include effectiveness of traditional programs, impact of deworming in Kenya, longitudinal data collection in Africa, scaling up government programs, and evolution of research methods in development economics.
Emphasizing rigorous research methods like randomized control trials and machine learning is crucial for generating high-quality evidence in poverty reduction and global development.
Understanding contextual factors, engaging stakeholders, and addressing equity concerns are essential for scaling up and ensuring the effectiveness of development interventions.
Deep dives
Open Science and evidence-based research in poverty reduction and global development
In this podcast episode, Professor Edward Ted McGill discusses the transformative power of open science in poverty reduction and global development efforts. He emphasizes the importance of using rigorous methods, such as randomized control trials and machine learning, to generate high-quality evidence. He also highlights the significance of research transparency and the open sharing of data. McGill provides examples of successful interventions, including a deworming project in Kenya that showed long-term positive effects on health and economic outcomes. He also acknowledges the importance of understanding contextual factors and variation across regions to ensure the effectiveness and equity of interventions in different settings. Overall, the episode underscores the value of evidence-based research in guiding policy decisions and improving the lives of the world's poorest populations.
Challenges and surprises in scaling up development interventions
McGill discusses the challenges and surprises involved in scaling up development interventions. He emphasizes the need for close collaboration with governments, NGOs, and other stakeholders to ensure their engagement and to facilitate the adoption of evidence-based policies. McGill also addresses the issue of external validity, highlighting that the effectiveness of interventions can vary across different regions and contexts. He advocates for conducting more research in understudied countries and regions to enhance understanding of the impacts of interventions. Additionally, he acknowledges the importance of addressing equity concerns and avoiding exacerbation of existing inequalities in poverty reduction programs.
Insights from research on deworming and cash transfers
The podcast explores the results and insights gained from research on deworming and cash transfer programs. McGill discusses the positive long-term impacts of deworming on children's health, education, and future earnings. He also acknowledges that not all interventions are successful, citing examples such as rural electrification projects that yielded minimal benefits. McGill stresses the importance of rigorous research and evidence generation to debunk myths and inform effective policy decisions. He also highlights the potential of machine learning and artificial intelligence in improving the targeting and implementation of poverty reduction programs. Overall, the episode highlights the need for continuous learning and evidence-based approaches in tackling global poverty.
Importance of interdisciplinary and inclusive research in development economics
McGill highlights the significance of interdisciplinary and inclusive research approaches in development economics. He shares insights from the work of the Center for Effective Global Action (SEGA) at UC Berkeley, where researchers from various disciplines collaborate to address global poverty and development challenges. McGill emphasizes the complementary role of economists, technologists, and climate experts in generating innovative solutions. He also emphasizes the importance of fostering research by early-stage researchers in low and middle-income countries. The episode underscores the need for collaboration, diversity, and the continuous pursuit of knowledge to secure sustainable development outcomes.
Global development leader, professor and author Edward ‘Ted’ Miguel visits Google to discuss how open science is transforming poverty reduction and global development.
What really works in the fight to empower the world's poorest people? What's the science behind traditional development programs, cash grants, and tech transfer efforts? Ted shares his learnings from his years leading UC Berkeley's Center for Effective Global Action, or CEGA.
Ted’s main research focus is African economic development, including work on the economic causes and consequences of violence; the impact of ethnic divisions on local collective action; interactions between health, education, environment, and productivity for the poor; and methods for transparency in social science research. He has conducted field work in Kenya, Sierra Leone, Tanzania, and India.