Big Data Innovation Challenge : Pioneering Approaches to Data-Driven Development

Big data can sound remote and lacking a human dimension, with few obvious links to development and impacting the lives of the poor. Concepts such as anti-poverty targeting, market access or rural electrification seem far more relevant – and easier...

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Main Author: World Bank Group
Format: Report
Language:English
en_US
Published: World Bank, Washington, DC 2016
Subjects:
Online Access:http://documents.worldbank.org/curated/en/2016/08/26685030/bigdata-innovation-challenge-pioneering-approaches-data-driven-development
http://hdl.handle.net/10986/25102
id okr-10986-25102
recordtype oai_dc
spelling okr-10986-251022021-05-25T08:52:09Z Big Data Innovation Challenge : Pioneering Approaches to Data-Driven Development World Bank Group climate-smart agriculture financial inclusion big data mobile data road investment geo-spatial data property rights urban congestion rural electrification satellite mapping poverty infrastructure crime smartphones road condition monitoring cellphone data travel patterns Big data can sound remote and lacking a human dimension, with few obvious links to development and impacting the lives of the poor. Concepts such as anti-poverty targeting, market access or rural electrification seem far more relevant – and easier to grasp. And yet some of today’s most groundbreaking initiatives in these areas rely on big data. This publication profiles these and more, showing how data on an unprecedented scale has the potential to improve lives in unprecedented ways. The featured case stories illustrate the diverse range of big data applications in development. For the World Bank, with twin goals of ending extreme poverty and boosting shared prosperity, big data is big news – and this is just the beginning. The Big Data program brings togetherdata scientists, social scientists and sector specialists in a work program with two main objectives: To accelerate organizational capabilities in big data analytics for use in research and operations – to help the World Bank Group (WBG) better work towards ending extreme poverty and boosting shared prosperity. To position WBG as a leader in the use of big data solutions in development. The program aims to scale early pilots into projects that solve significant development challenges, and to establish best practices for using big data analytics to steer evidence-driven development. Launched in September 2014, the Big Data Innovation Challenge has been key in encouraging big data approaches. Exceeding all expectations, it attracted 131 innovative proposals and awarded 14 with funding and expertise to enable big data analytics in their projects. The winning initiatives cover an exciting range, from using satellite imagery to improve poverty mapping, to mining social media data to understand political sentiment, or cellphone data to increase the use of banking services. Others promote traffic flows or accountable road building, anticipate crop yields, predict violent crime and promote registration of land rights. This publication profiles 16 extraordinary initiatives from the Challenge winning teams and finalists. The case stories examine the application of big data analytics and how it can help achieve project goals. 2016-10-03T17:40:54Z 2016-10-03T17:40:54Z 2016 Report http://documents.worldbank.org/curated/en/2016/08/26685030/bigdata-innovation-challenge-pioneering-approaches-data-driven-development http://hdl.handle.net/10986/25102 English en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Working Paper
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
en_US
topic climate-smart agriculture
financial inclusion
big data
mobile data
road investment
geo-spatial data
property rights
urban congestion
rural electrification
satellite
mapping poverty
infrastructure
crime
smartphones
road condition monitoring
cellphone data
travel patterns
spellingShingle climate-smart agriculture
financial inclusion
big data
mobile data
road investment
geo-spatial data
property rights
urban congestion
rural electrification
satellite
mapping poverty
infrastructure
crime
smartphones
road condition monitoring
cellphone data
travel patterns
World Bank Group
Big Data Innovation Challenge : Pioneering Approaches to Data-Driven Development
description Big data can sound remote and lacking a human dimension, with few obvious links to development and impacting the lives of the poor. Concepts such as anti-poverty targeting, market access or rural electrification seem far more relevant – and easier to grasp. And yet some of today’s most groundbreaking initiatives in these areas rely on big data. This publication profiles these and more, showing how data on an unprecedented scale has the potential to improve lives in unprecedented ways. The featured case stories illustrate the diverse range of big data applications in development. For the World Bank, with twin goals of ending extreme poverty and boosting shared prosperity, big data is big news – and this is just the beginning. The Big Data program brings togetherdata scientists, social scientists and sector specialists in a work program with two main objectives: To accelerate organizational capabilities in big data analytics for use in research and operations – to help the World Bank Group (WBG) better work towards ending extreme poverty and boosting shared prosperity. To position WBG as a leader in the use of big data solutions in development. The program aims to scale early pilots into projects that solve significant development challenges, and to establish best practices for using big data analytics to steer evidence-driven development. Launched in September 2014, the Big Data Innovation Challenge has been key in encouraging big data approaches. Exceeding all expectations, it attracted 131 innovative proposals and awarded 14 with funding and expertise to enable big data analytics in their projects. The winning initiatives cover an exciting range, from using satellite imagery to improve poverty mapping, to mining social media data to understand political sentiment, or cellphone data to increase the use of banking services. Others promote traffic flows or accountable road building, anticipate crop yields, predict violent crime and promote registration of land rights. This publication profiles 16 extraordinary initiatives from the Challenge winning teams and finalists. The case stories examine the application of big data analytics and how it can help achieve project goals.
format Report
author World Bank Group
author_facet World Bank Group
author_sort World Bank Group
title Big Data Innovation Challenge : Pioneering Approaches to Data-Driven Development
title_short Big Data Innovation Challenge : Pioneering Approaches to Data-Driven Development
title_full Big Data Innovation Challenge : Pioneering Approaches to Data-Driven Development
title_fullStr Big Data Innovation Challenge : Pioneering Approaches to Data-Driven Development
title_full_unstemmed Big Data Innovation Challenge : Pioneering Approaches to Data-Driven Development
title_sort big data innovation challenge : pioneering approaches to data-driven development
publisher World Bank, Washington, DC
publishDate 2016
url http://documents.worldbank.org/curated/en/2016/08/26685030/bigdata-innovation-challenge-pioneering-approaches-data-driven-development
http://hdl.handle.net/10986/25102
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