| Title: |
Applying astronomy tools in the field of development economics |
| Authors: |
Chingozha, T.; von Fintel, D. |
| Source: |
Proceedings of the International Astronomical Union ; volume 14, issue A30, page 589-590 ; ISSN 1743-9213 1743-9221 |
| Publisher Information: |
Cambridge University Press (CUP) |
| Publication Year: |
2018 |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1017/s1743921319005568 |
| Availability: |
https://doi.org/10.1017/s1743921319005568; https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S1743921319005568 |
| Rights: |
https://www.cambridge.org/core/terms |
| Accession Number: |
edsbas.91556764 |
| Database: |
BASE |