Information and Communication Technologies for Development Evaluation
World Bank Series on Evaluation and Development, Volume 10
1st Edition
Published on 10. July 2019
Book
Hardback
172 pages
978-0-367-13714-4 (ISBN)
Description
Written by a team of expert practitioners at the Independent Office of Evaluation of International Fund for Agricultural Development (IFAD), this book gives an insight into the implications of new and emerging technologies in development evaluation.
Growing technologies such as big data analytics, machine learning and remote sensing present new opportunities for development practitioners and development evaluators, particularly when measuring indicators of the Sustainable Development Goals. The volume provides an overview of information and communication technologies (ICTs) in the context of evaluation, looking at the theory and practice, and discussing how the landscape may unfold. It also considers concerns about privacy, ethics and inclusion, which are crucial issues for development practitioners and evaluators working in the interests of vulnerable populations across the globe. Among the contributions are case studies of seven organizations using various technologies for data collection, analysis, dissemination and learning.
This valuable insight into practice will be of interest to researchers, practitioners and policymakers in development economics, development policy and ICT.
Growing technologies such as big data analytics, machine learning and remote sensing present new opportunities for development practitioners and development evaluators, particularly when measuring indicators of the Sustainable Development Goals. The volume provides an overview of information and communication technologies (ICTs) in the context of evaluation, looking at the theory and practice, and discussing how the landscape may unfold. It also considers concerns about privacy, ethics and inclusion, which are crucial issues for development practitioners and evaluators working in the interests of vulnerable populations across the globe. Among the contributions are case studies of seven organizations using various technologies for data collection, analysis, dissemination and learning.
This valuable insight into practice will be of interest to researchers, practitioners and policymakers in development economics, development policy and ICT.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate and Professional
Illustrations
24 s/w Abbildungen, 24 s/w Zeichnungen, 6 s/w Tabellen
6 Tables, black and white; 24 Line drawings, black and white; 24 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
385 gr
ISBN-13
978-0-367-13714-4 (9780367137144)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Oscar A. Garcia | Prashanth Kotturi
Information and Communication Technologies for Development Evaluation
Book
03/2021
1st Edition
Routledge
€64.60
Shipment within 15-20 days
Oscar A. Garcia | Prashanth Kotturi
Information and Communication Technologies for Development Evaluation
World Bank Series on Evaluation and Development, Volume 10
E-Book
07/2019
1st Edition
Routledge
€59.49
Available for download
Oscar A. Garcia | Prashanth Kotturi
Information and Communication Technologies for Development Evaluation
World Bank Series on Evaluation and Development, Volume 10
E-Book
07/2019
1st Edition
Routledge
€59.49
Available for download
Persons
Oscar A. Garcia is the Director of the Independent Office of Evaluation (IOE) of the International Fund for Agricultural Development (IFAD). Before joining IFAD, Oscar served as the head of the advisory services at UNEP - Technology, Industry and Economics Division, Paris, providing guidance to the Partnership for Action on Green Economy. He was senior evaluation advisor for the United Nations Development Programme UNDP Evaluation Office overseeing programmatic evaluations in Africa, Asia and Latin America and the Caribbean. Mr. Garcia has more than 25 years of professional experience, combining operational and managerial practice with results-based management, strategic planning and evaluation expertise.
Prashanth Kotturi joined the IOE in October 2012 and is currently working as an Evaluation Analyst. Since then, he has worked in lead and support roles on a wide range of evaluations ranging from project evaluations, country portfolio evaluations to corporate-level evaluations and evaluation synthesis. Before IOE, Prashanth has worked in the financial services industry and with microfinance institutions in his home country, India.
Prashanth Kotturi joined the IOE in October 2012 and is currently working as an Evaluation Analyst. Since then, he has worked in lead and support roles on a wide range of evaluations ranging from project evaluations, country portfolio evaluations to corporate-level evaluations and evaluation synthesis. Before IOE, Prashanth has worked in the financial services industry and with microfinance institutions in his home country, India.
Content
1 Introductions Oscar A. Garcia and Prashanth Kotturi
2 Evaluation and the Sustainable Development Goals: Opportunities and Constraints Marco Segone
3 Information and Communication Technologies for Evaluation (ICT4Eval): Theory and Practice Oscar A. Garcia, Jyrki Pulkkinenand and Prashanth Kotturi
A Data collection: Faster, cheaper, more accurate
B Data analysis: The machine learning revolution
C Dissemination and learning: Reaching a global audience
D Case studies: Geospatial analysis in environmental evaluation Juha Ilari Uitto, Anupam Anand and Geeta Batra; Simulated field visits in fragile and conflict environments: Reaching the most insecure areas of Somalia virtually Monica Zikusooka; Analysing stories of change: engaging beneficiaries to make sense of data Michael Carbon and Hamdi Ahmedou; Is there a role for machine learning in the systematic review of evidence? Edoardo Masset; Using machine learning to improve impact evaluations Paul Jasper; Using geospatial data to produce fine-scale humanitarian maps Gaurav Singhal, Lorenzo Riches and Jean-Baptiste Pasquier; Using and sharing real-time data during fieldwork Simone Lombardini and Emily Tomkys
E ICTs in practice - the case for cautious optimism
F Evaluation 2.0; turning dilemmas to dividends?
4 Big data analytics and development evaluation: Optimism and caution, Michael Bamberger
A Some themes from the big data literature
B Demystifying big data
C Where is the big data revolution headed?
D Does big data apply to development evaluation? Should evaluators care about it?
E The great potential for integrating big data into development evaluation
F Big data and development evaluation: the need for caution
G Overcoming barriers to big data use in evaluation
5 Technology, Biases and Ethics: Exploring the Soft Sides of Information and Communication Technologies for Evaluation (ICT4Eval), Linda Raftree
A Factors affecting information technology access and use among the most vulnerable
B Data and technology alone cannot ensure inclusion
C Inclusiveness of access and use affect the representativeness of big data
D Bias in big data, artificial intelligence and machine learning
E Protecting data subjects' rights in tech-enabled, data-led exercises
F Improving data privacy and protection in the development sector
6 Technology and its implications for nations and development partners Oscar A. Garcia and Prashanth Kotturi
A Structural transition and pathways for economic development
B Who has technology affected the most?
C A Luddite's nightmare or a passing phenomenon?
D Implications for sustainable rural development
E Dealing with disruptions and moving forward
F Implications for development partners
7 Conclusions Oscar A. Garcia and Prashanth Kotturi
2 Evaluation and the Sustainable Development Goals: Opportunities and Constraints Marco Segone
3 Information and Communication Technologies for Evaluation (ICT4Eval): Theory and Practice Oscar A. Garcia, Jyrki Pulkkinenand and Prashanth Kotturi
A Data collection: Faster, cheaper, more accurate
B Data analysis: The machine learning revolution
C Dissemination and learning: Reaching a global audience
D Case studies: Geospatial analysis in environmental evaluation Juha Ilari Uitto, Anupam Anand and Geeta Batra; Simulated field visits in fragile and conflict environments: Reaching the most insecure areas of Somalia virtually Monica Zikusooka; Analysing stories of change: engaging beneficiaries to make sense of data Michael Carbon and Hamdi Ahmedou; Is there a role for machine learning in the systematic review of evidence? Edoardo Masset; Using machine learning to improve impact evaluations Paul Jasper; Using geospatial data to produce fine-scale humanitarian maps Gaurav Singhal, Lorenzo Riches and Jean-Baptiste Pasquier; Using and sharing real-time data during fieldwork Simone Lombardini and Emily Tomkys
E ICTs in practice - the case for cautious optimism
F Evaluation 2.0; turning dilemmas to dividends?
4 Big data analytics and development evaluation: Optimism and caution, Michael Bamberger
A Some themes from the big data literature
B Demystifying big data
C Where is the big data revolution headed?
D Does big data apply to development evaluation? Should evaluators care about it?
E The great potential for integrating big data into development evaluation
F Big data and development evaluation: the need for caution
G Overcoming barriers to big data use in evaluation
5 Technology, Biases and Ethics: Exploring the Soft Sides of Information and Communication Technologies for Evaluation (ICT4Eval), Linda Raftree
A Factors affecting information technology access and use among the most vulnerable
B Data and technology alone cannot ensure inclusion
C Inclusiveness of access and use affect the representativeness of big data
D Bias in big data, artificial intelligence and machine learning
E Protecting data subjects' rights in tech-enabled, data-led exercises
F Improving data privacy and protection in the development sector
6 Technology and its implications for nations and development partners Oscar A. Garcia and Prashanth Kotturi
A Structural transition and pathways for economic development
B Who has technology affected the most?
C A Luddite's nightmare or a passing phenomenon?
D Implications for sustainable rural development
E Dealing with disruptions and moving forward
F Implications for development partners
7 Conclusions Oscar A. Garcia and Prashanth Kotturi