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Measuring Development 2021: Emerging Data and Methods in Global Health Research

March 31-April 01, 2021

Virtual

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  • The field of public health has seen major methodological progress in recent years, catalyzed in no small part by the ongoing COVID-19 pandemic. Around the world, researchers are using new types of data and new analytical tools to measure, track, and analyze health trends, interventions, and behaviors. On Wednesday, March 31st, 2021 ¨C Thursday, April 1st, 2021, CEGA and the World Bank Group will co-host our 7th Annual Measuring Development Conference: Emerging Data and Methods in Global Health Research. The online event will showcase applications of novel data and approaches to health challenges in low- and middle-income countries.

    Please see the list of confirmed speakers on our (we're updating the agenda daily) and  to attend.

    Preliminary Schedule

    Day one (Wednesday, March 31st) will feature our keynote speaker, as well as talks on Leveraging Online and Social Media Data for COVID-19 Response, Novel Data and Methods for Disease Tracking and Response, a panel on Health, Data, and the Environment, and lightning round sessions.

    Day Two (Thursday, April 1st) will feature workshops run by Esri and Atlas AI that will train practitioners, academics, and public sector professionals in the use of innovative tools and open access datasets to respond to disease and analyze health trends and interventions. We will also host sessions on public health responses to the pandemic, innovative measurement for mental health, and effective coverage in healthcare. 

     

  • Ziad Obermeyer, Professor of Health Policy and Management, Berkeley
    Ziad Obermeyer, CEGA faculty affiliate and Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the Berkeley School of Public Health, will deliver the keynote address on March 31st. Obermeyer's research applies innovative econometric methods and machine learning tools to analyze medicine and health policy. Among other applications, Obermeyer has used algorithmic methods to analyze racial bias in healthcare and help healthcare professionals use data-driven predictions in their decision-making.

  • The is the West Coast hub for research on global development, headquartered at the University of California, Berkeley. 

    Å·ÃÀÈÕb´óƬ's  group generates high-quality and operationally relevant data and research to transform development policy, help reduce extreme poverty, and secure shared prosperity. 

    The Analytics and Tools unit in the World Bank's Development Economics Data Group delivers data science products and analytical services to support World Bank lending and data operations. 

Event Detail