Human Development and the Data Revolution

Inbunden, Engelska, 2025

AvSanna Ojanperä,Eduardo López,Mark Graham,Sanna Ojanperä,Eduardo López,Mark Graham,and The Alan Turing Institute) Ojanpera, Sanna (Quantitative Researcher, Quantitative Researcher, Oxford Internet Institute, University of Oxford,George Mason University) Lopez, Eduardo (Associate Professor and Director of Graduate Studies at the Department of Computational and Data Sciences, Associate Professor and Director of Graduate Studies at the Department of Computational and Data Sciences,Oxford Internet Institute) Graham, Mark (Professor of Internet Geography, Professor of Internet Geography

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This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read on the Oxford Academic platform and offered as a free PDF download from OUP and selected open access locations.Human Development and the Data Revolution explores the uses of large-scale data in the contexts of development, in particular, what techniques, data sources, and possibilities exist for harnessing large datasets and new online data to address persistent concerns regarding human development, inequality, exclusion, and participation.Employing a global perspective to explore the latest advances at the intersection of big data analysis and human development, this volume brings together pioneering voices from academia, development practice, civil society organizations, government, and the private sector. With a two-pronged focus on theoretical and practical research on big data and computational approaches in human development, the volume covers such themes as data acquisition, data management, data mining and statistical analysis, network science, visual analytics, and geographic information systems and discusses them in terms of practical applications in development projects and initiatives. Ethical considerations surrounding these topics are visited throughout, highlighting the tradeoffs between benefitting and harming those who are the subjects of these new approaches.The authors explore the potentials of big data analysis for development but also the challenges and limitations for its usefulness in contexts of development, illuminating how the measurement and analytical choices made in using big data analysis are far from being neutral or value-free considerations.

Produktinformation

Utgivningsdatum2025-03-27
Mått160 x 240 x 22 mm
Vikt596 g
FormatInbunden
SpråkEngelska
Antal sidor320
FörlagOUP OXFORD
ISBN9780198879145

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Internationell ekonomi inom Ekonomi och ledarskap
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List of FiguresList of TablesList of ContributorsSanna Ojanperä, Eduardo López, and Mark Graham: Introduction1: Sanna Ojanperä, Eduardo López, and Mark Graham: Opportunities and Challenges of Data-driven Development2: Nuria Oliver: Big Mobile Data for Social Good: Opportunities and Challenges3: Bitange Ndemo: Digital Forms of Exclusion, Big Data, and Measurement of UN Sustainable Development Goals in Africa: An Ecological Systems Theory Perspective4: Emmanuel Letouzé: Making Human Measurement Matter for Human Development: Towards a Theory of Change for the Data Revolution and "Human AI"5: Christopher Njuguna and Patrick McSharry: Predicting Socioeconomic Status Using Big Data6: Bruno Lepri, Nuria Oliver, and Alex Pentland: Reinventing the Social Contract in an Age of Big Data7: Sriganesh Lokanathan, Thavisha Perera-Gomez, and Shazna Zuhyle: Leveraging Big Data for Public Purposes in the Global South: LIRNEasia's Experiences8: Paula Hidalgo-Sanchis: Advancing Human Development with Artificial Intelligence: Experimental Work from Uganda9: Vukosi Marivate and Nyalleng Moorosi: Extracting Insights in and around Government: Experiences in South Africa10: Eduardo López and Sanna Ojanperä: Digital Data Handling: A Tutorial Approach11: Eduardo López and Sanna Ojanperä: Sources of Big Data in Global Development12: Eduardo López and Sanna Ojanperä: Methods for the Analysis of Big Data in Development13: Richard Heeks: Data Justice for International Development: A Structural Model and Manifesto14: Linnet Taylor: The Ethics of Big Data as a Public Good: Which Public? Whose Good?