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Data Science and SDGs: Challenges, Opportunities and...

Data Science and SDGs: Challenges, Opportunities and Realities

Bikas Kumar Sinha, Nurul Haque Mollah
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The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning.

The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.

Categories:
Year:
2021
Edition:
1
Publisher:
Springer
Language:
english
Pages:
219
ISBN 10:
9811619182
ISBN 13:
9789811619182
File:
PDF, 4.82 MB
IPFS:
CID , CID Blake2b
english, 2021
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