Now showing items 4-6 of 6

    • CITE Program Impact Report 2012–2016 

      McKown, Lauren; Mathias, Joanne; Leith, Kendra; Kaminsky, Jesse (2017-03)
      CITE's program impact report covering our work from 2012-2016. The report covers a range of topics including partnership, methodology development, data-driven decision-making, and training the next generation of development ...
    • Exploring Fairness in Machine Learning for International Development 

      Awwad, Yazeed; Fletcher, Richard; Frey, Daniel; Gandhi, Amit; Najafian, Maryam; e.a. (CITE MIT D-Lab, 2020-03-02)
      This document is intended to serve as a resource for technical professionals who are considering or undertaking the use of machine learning (ML) in an international development context. Its focus is on achieving fairness ...
    • A Practitioner’s Guide for Technology Evaluation in Global Development 

      Ilten, Éadaoin; Green, Jennifer; Lake, Brennan (2018)
      Co-authored by CITE and The Technology Exchange Lab, the Practitioner's Guide offers a user-friendly, step-by-step framework for conducting comparative product evaluations. No matter the size of your organization or resources ...