Maximizing Returns on Data Science Investments: The Evolution of Data-Driven Decision-Making in Development

Report

Abstract

This policy brief was developed to assist decision-making in the field of international development on when and how to best utilize data science methods. It is meant to assist all levels of decision-making (from the field to the boardroom) as well as development actors (from donors to community-level NGOs). This general applicability stems from a research focus on general principles and processes that can be adapted as needed. The recommendations include a general decision-making process that outlines how data-science methods can integrate private-sector best practices with legacy Monitoring, Evaluation, and Learning (MEL) systems. It also presents next steps for operationalizing this process. Feedback from an advisory group consisting of donors, service providers, and thought leaders then establishes the foundations for a future-focused research agenda.

Attributes

Attribute NameValues
Document Type
  • Report

Creator
  • Michael Cooper

  • Paul Perrin

Date Created
  • 2021-06-04

Publisher
  • Pulte Institute for Global Development; Keough School of Global Affairs

Subject
  • applications

  • data-driven decision-making

  • data science

  • international development

  • investments

  • methods

  • monitoring, evaluation, and learning (MEL)

  • private sector

  • problem solving

  • public sector

Language
  • English

Recommended Citation
Record Visibility Public
Content License
  • All rights reserved

Departments and Units

Digital Object Identifier

doi:10.7274/r0-t0xq-4p69

This DOI is the best way to cite this report.

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