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Development Research Group

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Research Initiatives

AI and Digital Development

AI and Digital Development

Business Dynamism in MICs

Business Dynamism in MICs

Center for Research on Women and Jobs

Center for Research on Women and Jobs

Chile Research and Development Center

Chile Research and Development Center

DaTax

DaTax

Emissions

Emissions

Energy in Africa

Energy in Africa

The Long Term Growth Model

The Long Term Growth Model

Trade Fragmentation

Trade Fragmentation

Overview

Recent rapid advances in Artificial Intelligence (AI) hold immense promise for accelerating the pace of economic development. AI could vastly expand access to knowledge for students and teachers, health providers and patients, entrepreneurs and farmers. By interpreting large amounts of data, it could multiply the efficiency and scale of operations for example for lending institutions, tax authorities, public health and educational bodies, and disaster preparedness. Algorithms can match resources to those who need them, such as aid to refugees, mediators to litigating parties, or extension services to farmers.

As AI is penetrating every area of the economy, issues such as equity of access and implications for the future of work need to be understood, mitigated, and addressed to ensure that AI offers a path to prosperity for all. The AI and Digital Development (AI/DD) Research Initiative is convening a community of researchers and policy partners that can deliver unbiased data and rigorous insights on the impact of AI and digital development in Low- and Middle-Income Country (LMIC) economies. We aim to create and disseminate high-quality, independent evidence on AI’s effects on individual outcomes as well as its impacts on the global economy.

Key Questions

In its first phase, the AI/DD Research Initiative will focus on three “big questions”:

  • AI and Healthcare: Can AI solutions improve the health of the poor?
  • AI and Jobs: How will AI change the markets for skills in LMICs?
  • AI and Technological Change: What are the impacts of AI on firm composition, competitiveness, and growth in LMICs?

News and Events

Global Findex Database (DECRG/World Bank and Gallup) receives the “Best Financial Services Research" award

December 2, 2024 -- The Market Research Society (MRS) announced the , where the Global Findex Database (Development Research Group/World Bank and Gallup) received the “Best Financial Services Research” award and was also “Highly Commended” for the Liz Nelson Award for Social Impact, the event’s flagship honor.

Resources on Financial Inclusion in Sub-Saharan Africa

For over a decade, the Global Findex Database, led by Leora Klapper, has been the definitive source for data on global digital financial services usage. A series of “Findex Notes” highlights trends in Sub-Saharan Africa, including the growth of mobile money products, the adoption of digital identification, and the digitization of payments for agricultural sellers. Explore and download the full series on the Global Findex Africa page.

Generative AI: A Technical Tutorial for Economists 

Novmeber 26, 2024 -- Robert Pless (George Washington University Computer Science) gave a brown bag talk for AI/DD with an introduction to the technical underpinnings of modern (generative) AI models.

New Forthcoming Research: Evaluating the Impacts of Access to a Digital Jobs Platform and Skills Training on Female Domestic Workers

January 6, 2024 -- S Anukriti's impact evaluation on a digital employment matching app à la Uber for domestic workers in Bangladesh was accepted by the Journal of Development Economics in the .

Publications

  • Digital Transformation in Cabo Verde: The New Horizon
    Journal Article | December 2024

    An online platform—entitled NaijaCare—offered digital ordering, business development, peer exchange and business skills training to informal medicine vendors in Lagos, Nigeria. Outcomes of these vendors (known as PPMVs—patent and proprietary medicine vendors) who had participated in an earlier round of NaijaCare programming are compared with those of other PPMVs operating in the same local markets. Program impacts are estimated using a difference-in-differences estimator, with inverse propensity weighting to balance possible differences in baseline characteristics between intervention and control PPMVs. NaijaCare’s full range of features did not lead to significant improvements in most of the main outcomes of interest.

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    Journal Article | December 2024

    This paper develops an economic evaluation framework to assist in establishing the economic value of Digital Health Interventions(DHIs) to inform policy, programming and appropriate scale-up in resource-constrained settings. It is intended for country governments and those providing technical assistance in global development related to digital health. 

  • World Bank Group Annual Report 2024
    IEEE International Conference on Healthcare Informatics (ICHI) | June 2024

    We explore prompt designs for a lightweight integration of a large language model (LLM) into clinical decision support in primary care in Nigeria. The LLM integration is designed to give immediate, actionable "second opinions" to frontline healthworkers on their patient interaction notes.  The assessment of a physician serves as a benchmark for the quality of the LLM feedback.  A particular challenge was to counter the LLM's tendency to over-recommend laboratory testing, which is more in line with medical practice in high-income countries.  We evaluate the ability of a range of prompt engineering approaches to better align the LLM's medical test recommendations with locally appropriate standards of clinical care.

  • Women of different ethnicities chat and smile while working on their assignments and using a laptop to complete them
    April 2024

    Digital technologies offer the possibility of a new era in development. The April 2024 edition of the World Bank research newsletter makes the case that investing in digital infrastructure and skills will be critical for countries that hope to realize the benefits. The newsletter highlights topics such as building digital skills, AI-powered development, finance and digital payments, and emerging challenges in digital development.

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    Policy Research Working Paper | November 2023.

    Large Language Models (LLMs) are quickly becoming ubiquitous, but the implications for social science research are not yet well understood. This paper asks whether LLMs can help us analyse large-N qualitative data from open-ended interviews, with an application to transcripts of interviews with displaced Rohingya people in Cox’s Bazaar, Bangladesh. The analysis finds that a great deal of caution is needed in using LLMs to annotate text as there is a risk of introducing biases that can lead to misleading inferences.

Experts

  • 欧美日b大片
    Lead Economist

    Leora leads the Global Findex database, which measures the adoption and use of digital financial services and connectivity. Her research focuses on fintech innovations and their impact on household welfare and business resilience.

  • Caroline-Lopez
    Research Economist

    Carolina studies the impact of an adaptive learning platform on student learning in the Dominican Rep. She also works with the Regional Directorate of Education in Lima to explore how AI-driven tools can enhance teaching practices and student outcomes.

  • Headshot of Anja Sautmann
    Senior Economist

    Anja's research explores the use of generative AI to support frontline health workers in Nigeria. She also works with the Kenyan Judiciary on how a dynamic learning algorithm can help match mediators to court cases.

  • Mahvish Shaukat DaTax
    Economist

    Mahvish’s projects in AI and machine learning include understanding the integration of artificial intelligence tools within large organizations such as the World Bank and  testing whether computer vision algorithms can improve property tax assessment and collection in Pakistan.

  • Ruozi Song
    Economist

    Ruozi’s research leverages big data and machine learning to pinpoint climate-vulnerable regions in Africa with limited local data. She works with African farmers to test AI tools for tailored technical assistance and improved climate resilience.


Key Partners

The AI/DD Research Initiative works closely with many partners within and beyond the World Bank, including:

World Bank

External

Researchers: 

  • Daniel Bjorkegren (Columbia University, lead of the )
  • Rembrand Koning (Harvard Business School, co-founder );
  • Sanmay Das (George Mason University)
  • Robert Pless (George Washington University, )

Government: 

  • Dirección Regional de Educación Lima Metropolitana (Ministry of Education, Peru) 
  • Court-Annexed Mediation, Judiciary of Kenya 
  • Korean National Institute of Statistics

Contact & Email Announcements

If you are interested in exploring opportunities to collaborate with us, please contact us at the following email address: asautmann@worldbank.org.

If you would like to receive occasional email updates from AI/DD about upcoming events and other announcements, please .