Data-Pop Alliance is a global coalition on Big Data and development created by the Harvard Humanitarian Initiative, MIT Media Lab, and Overseas Development Institute that brings together researchers, experts, practitioners, and activists to promote a people-centered Big Data revolution through collaborative research, capacity building, and community engagement. As of February 2016, Flowminder Foundation has joined Data-Pop Alliance as its fourth Core Member. Navigation
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  • Introduction
    • DPA & UNDP Cooperation
    • Objectives
    • Strategy & Partnerships
  • Measuring SDGs
    • Agenda 2030
    • New Approaches: Indicators
    • Tier Classification
  • Big Data
    • Data Revolution
  • Resources & Methodologies
    • Big Data Sources for Development
    • Methodologies
  • Field
  • Where
  • Prototype
    • Download Final Report
  • Training
  • Measuring the Unmeasured: Tier 3 SDGs
  • Big Data to Address Global Development Challenges Paper Series
  • EmpoderaData
  • Search
MENUMENU
  • Introduction
    • DPA & UNDP Cooperation
    • Objectives
    • Strategy & Partnerships
  • Measuring SDGs
    • Agenda 2030
    • New Approaches: Indicators
    • Tier Classification
  • Big Data
    • Data Revolution
  • Resources & Methodologies
    • Big Data Sources for Development
    • Methodologies
  • Field
  • Where
  • Prototype
    • Download Final Report
  • Training
  • Measuring the Unmeasured: Tier 3 SDGs
  • Big Data to Address Global Development Challenges Paper Series
  • EmpoderaData
  • Search

Objectives

News & Blogs

  • Research Intern Position – Mexico City

    Research Intern Position – Mexico City

    …Read More »
  • EmpoderaData: empowerment through data in Latin America

    EmpoderaData: empowerment through data in Latin America

    …Read More »
  • Program Operations Assistant – Mexico City

    Program Operations Assistant – Mexico City

    …Read More »

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Calendar

June 2019

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  • Event #2

    Event #2

    June 5, 2019  5:30 am - 6:30 am

    More details

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contact@datapopalliance.org
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