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  1. The 11th Evaluation Conference 'Evaluation of Cohesion Policy' Results, challenges, solutions (Cracow, Poland)

    Event
    Conference
    28th September, 2015 to 29th September, 2015
    Poland
    Paid

    International Evaluation Conference is an initiative devoted to building evaluation capacity in Poland. It has been organised yearly since 2005 and all the time it constantly attracts a large group of recognised experts in the field of evaluation and related disciplines.

    Also Available In: Polski
  2. Measuring results and impact in the age of big data

    Resource
    Discussion paper
    2020

    This paper explores the nexus of data science and evaluation, probing the issues and challenges of incorporating big data into evaluation practice.

  3. Big Data for Development: Challenges & Opportunities

    Resource
    Discussion paper
    2012

    This white paper by UN Global Pulse examines the use of Big Data in development contexts. Using a number of examples, it highlights how this data type can be leveraged to provide early warnings of disruptions and crises, and can give real-time awareness and feedback of situations and interventions. It also delves into a conversation about the implications of Big Data use.

  4. Digital Analytics for Monitoring and Evaluation

    Event
    Workshop
    14th June, 2021 to 18th June, 2021
    Online
    Paid

    How does one make sense of new digital data, utilizing data science methods while adhering to rigorous evaluation protocols? This workshop provides a thorough grounding in developing a robust M&E approach for digital projects and revising existing workflows in response to the unique digital environment.

  5. Gender equality and big data: Making gender data visible

    Resource
    Discussion paper
    2018

    The report from UN Women, with support from UN Global Pulse, outlines the value of big data for monitoring the Sustainable Development Goals (SDGs) in relation to women. It presents the benefits of big data (for example, real time data), risks (for example, elite capture and privacy), and policy implications (for example, how it can be incorporated in project cycles from planning to evaluation). It ends with a compendium of gender-related big data projects and their relevance to the SDGs.