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Scope of Python based data analytics tool for Social SciencesЯзык Python, его эволюция и использование

Доклад отклонён
Ambrish Dhaka
Jawaharlal Nehru University

Dr Ambrish Dhaka, Associate Professor (Afghanistan Studies), School of International Studies, Jawaharlal Nehru Univerisity, teaches Geopolitics and Geoeconomics at MPhil and Masters Level. He has successfully supervised 09 PhD and more than 2 dozen MPhil dissertations with awarded degrees. He has all-time H-index of 03 in social sciences with 50 citations. He is geographer by practice and dwells into Python based GIS tools such as Qgis, GRASS and R-GIS. The spatial statistics in an area of interest that frequently brings python based tools and techniques into his teaching practice. He has 2 decades of teaching experience.


This presentation would be on how the current vast amount of social data generated through micro-blogging sites can be utilised by social scientists, especially, those working in areas of International politics, Geoeconomic intelligence. The aim is to provide methods to graduate students for determining appropriate material in tracking trends and opinions and real-time inferential tools while outlining policy paradigms.

The aim is to claim that python in its two avatars, such as the web-page based jupyter notebook is suitable to be integrated into a pedagogical model of social sciences. And, henceforth, the python learning needs to be embedded into graduate social science learning.

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