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Computational Social Science Methods

Computational Social Science Methods

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9.6/10 (Our Score)
Product is rated as #5 in category Data Science

This course gives you an overview of the current opportunities and the omnipresent reach of computational social science. The results are all around us, every day, reaching from the services provided by the world’s most valuable companies, over the hidden influence of governmental agencies, to the power of social and political movements. All of them study human behavior in order to shape it. In short, all of them do social science by computational means. In this course we answer three questions: I. Why Computational Social Science (CSS) now? II. What does CSS cover? III. What are examples of CSS? In this last part, we take a bird’s–eye view on four main applications of CSS. First, Prof. Blumenstock from UC Berkeley discusses how we can gain insights by studying the massive digital footprint left behind today’s social interactions, especially to foster international development. Second, Prof. Shelton from UC Riverside introduces us to the world of machine learning, including the basic concepts behind this current driver of much of today’s computational landscape. Prof. Fowler, from UC San Diego introduces us to the power of social networks, and finally, Prof. Smaldino, from UC Merced, explains how computer simulation help us to untangle some of the …

Instructor Details

Martin Hilbert pursues a multidisciplinary approach to understanding the role of information and knowledge in the development of complex social systems. Before joining UC Davis, Prof. Hilbert created and led the Information Society Program of the United Nations Secretariat for Latin America and the Caribbean. This program aims at fostering the impact of digital technologies. In his 15 years as United Nations Economic Affairs Officer he has provided hands-on technical assistance in the field of digital development to Presidents, government experts, legislators, diplomats, NGOs, and companies in over 20 countries. Policy makers from the highest political levels have officially recognized the impact of his projects. He retired early from his life-long appointment with the UN, because he wanted to be an active part of the exciting process of making use of these same digital technologies to better understand society. He joined the University of California in 2014 to be able to dedicate more time and energy to "Computational Social Science". He regularly still does consulting work for the UN and other private and public clients, applying new CSS methods in practice. He has written five books about digital technology for international development and has published in academic journals in the fields of communication, economic development, information science, psychology, ecology and evolution, political science, complex systems, women’s studies, and forecasting. His findings have been featured in popular outlets. Like Scientific American, PBS, Discovery, NatGeo, Wall Street Journal, Washington Post, The Economist, NPR, BBC, Die Welt, Correio Braziliense, ElMundo, among others. International perspectives are no mere theory for Prof. Hilbert, as he speaks five languages and has traveled to over 70 countries.

Specification: Computational Social Science Methods

Duration 17 hours
Year 2020
Level Beginner
Certificate Yes
Quizzes Yes

2 reviews for Computational Social Science Methods

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    Sukanto M

    A much needed course in the current scenario.

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    Muxin L

    Great introduction to the specialization series on computational social science. Some technical tools are introduced but the course is largely a primer to what’s currently possible in the digital age. Recommend for anyone curious about what this discipline is.

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