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Applying astronomy tools in the field of development economics

Published online by Cambridge University Press:  03 March 2020

T. Chingozha  and
D. von Fintel
T. Chingozha
Affiliation:
Department of Economics, Stellenbosch University, Private Bag X1, 7602 Matieland, South Africa email: tchingozha@gmail.com
D. von Fintel
Affiliation:
Department of Economics, Stellenbosch University, Private Bag X1, 7602 Matieland, South Africa email: tchingozha@gmail.com Research affiliate, Institute of Labor Economics (IZA), Bonn, Germany
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Abstract

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Astronomy has largely relied on imagery and innovative data mining techniques. This article briefly illustrates the use of machine learning to create agricultural production data sets from satellite imagery to answer different development questions. Of late, astronomy has also relied on citizen science in the identification of new galaxies (a case in point is the Galaxy Zoo project). The use of citizen science in the examination of changes in urban informality patterns in developing countries (another development question) is also discussed.

Keywords

astronomydevelopmentmulti-disciplinaryvery high resolutioncitizen sciencemachine learning
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 14 , Symposium A30: Astronomy in Focus XXX , August 2018 , pp. 589 - 590
Copyright
© International Astronomical Union 2020

References

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