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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| Format: | Report |
| Language: | English en_US |
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World Bank, Washington, DC
2016
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| 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 |
| Summary: | 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. |
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