Data Science and SDGs

Challenges, Opportunities and Realities
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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.

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ISBN 9789811619212
Sprache Englisch
Ausgabe 1st ed. 2021
Erscheinungsdatum 15.08.2022
Umfang 197 Seiten
Genre Wirtschaft/Allgemeines, Lexika
Format Taschenbuch
Verlag Springer Singapore
Herausgegeben von Bikas Kumar Sinha, Md. Nurul Haque Mollah
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