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Journals
Output Type
DPPD Handbook: A Step-By-Step Guide for Development Practitioners to Apply the Data Powered Positive Deviance Method
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) (2021), 138 pp.
"Positive Deviance (PD) is based on the observation that in every community or organization, there are a few individuals who achieve significantly better outcomes than their peers, despite having similar challenges and resources. These individuals are referred to as positive deviants, and adopting t
...
Emerging technology trends: Artificial intelligence and big data for development 4.0
Geneva: ITU (2021), xv, 87 pp.
"Intended as a guide for policy-makers and other stakeholders in crafting a national AI and data strategy for development, the report highlights opportunities and outlines good policy and regulatory practices for implementation, while also flagging key challenges and offering hands-on suggestions in
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"This Information Sharing Protocol (ISP) is designed to support data responsibility in Somalia. Data responsibility in humanitarian action is the safe, ethical and effective management of personal and non-personal data for operational response, in accordance with established frameworks for personal
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Development Research in Practice: The DIME Analytics Data Handbook
Key Guides
Washington, DC: World Bank (2021), xviii, 209 pp.
"Development Research in Practice: The DIME Analytics Data Handbook is intended to teach all users of development data how to handle data effectively, efficiently, and ethically. An empirical revolution has changed the face of development research over the last decade. Increasingly, researchers are
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Data for Better Lives
Deep Insights
Washington, DC: World Bank (2021), xviii, 326 pp.
"This report aims to answer two fundamental questions. First, how can data better advance development objectives? Second, what kind of data governance arrangements are needed to support the generation and use of data in a safe, ethical, and secure way while also delivering value equitably? One impor
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Data Altruism: How the EU is Screwing Up a Good Idea
Berlin: Algorithm Watch (2021), 8 pp.
"The EU dreams of a “common European data space”. Data protection is and remains the elephant in this data room. So long as the anti-processing straitjacket of the GDPR is not loosened even a little for altruistic purposes, there will be little hope for data innovations from Europe. In any case,
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Situating Open Data: Global Trends in Local Contexts
Cape Town: African Minds (2020), xiii, 243 pp.
"This book provides empirical accounts to understand the situatedness of open data along the following themes: 1) open data practices; 2) the local implementation of global trends; and 3) open data ecosystems. Many chapters in this volume simultaneously address several of these themes. The thematic
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Using Big Data for Evaluating Development Outcomes: A Systematic Map
Centre of Excellence for Development Impact and Learning (CEDIL) (2020), vi, 104 pp.
"Spatially and temporally relevant ‘big data’ that does not require data collection in the field has the potential to provide insights into people’s economic, social, behavioural and political lives, and hence could be used in measuring key development outcomes. Big data consists of humangener
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Invisible Women: Exposing Data Bias in a World Designed for Men
London: Vintage (2020), xv, 411 pp.
"Invisible Women shows us how, in a world largely built for and by men, we are systematically ignoring half the population. It exposes the gender data gap - a gap in our knowledge that is at the root of perpetual, systemic discrimination against women, and that has created a pervasive but invisible
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Festín de datos: Empresas y datos personales en América Latina
Bogotá: Dejusticia (2020), 204 pp.
Data Feast: Enterprises and Personal Data in Latin America
Bogotá: Dejusticia (2020), 196 pp.
Designing Data Strategies: A Playbook for Action
Washington, DC: Development Gateway (2020), 15 pp.
Guía de recolección de datos de personas migrantes
Montevideo: ILDA (2020), 47 pp.
"El objetivo de esta investigación es el desarrollo de una guía de recolección de datos de migración con el fin entender mejor las características de la población migrante. Las recomendaciones de este trabajo surgen a partir de tres casos de estudio en ciudades/regiones fronterizas: Monterrey
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Data Impact Assessments
Centre for Humanitarian Data (2020), 6 pp.
"• Data impact assessments determine the potential benefits and risks associated with data management. They are a critical component of responsible data management, but are often overlooked.
• There are a wide variety of approaches to data impact assessments. Selecting the right assessment for a
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Releasing the power of digital data for development: A guide to new opportunities
London: Frontier Technologies; Department for International Development (DFID) (2020), 107 pp.
"There are 8 conclusions we discuss in this report:
(1) There is justified excitement and proven benefits in the use of new digital data sources, particularly where timeliness of data is important or there are persistent gaps in traditional data sources [...]
(2) In many cases, improvements in a
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Leveraging Big Data to Advance Gender Equality
Washington, DC: International Finance Corporation (IFC) (2020), 7 pp.
"Gender equality and the empowerment of women and girls, one of the Sustainable Development Goals, is a highly complex and challenging undertaking. We must address multiple issues—discrimination, violence, education, employment, economic resources, and technology—and work across economic sectors
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