Please join us for a UW Data Science Seminar on Thursday, February 22nd from 4:30 to 5:20 p.m. PST. The seminar will feature Jose Manuel Magallanes, a Senior Data Science Fellow and Professor of Social Sciences at Pontificia Catolica del Peru, where he is also the director of the Institute for Social Analytics and Strategic Intelligence (PULSO PUCP).
The seminar will be held in the Electrical & Computer Engineering Building (ECE), Room 105
“A gentle and comparative introduction to social network analysis using Python and R”
Abstract: This presentation will introduce how you can use Python and R to start your analysis of social networks. Both R and Python can deal effectively with the construction, organization, description, pattern recognition, plotting, modeling and analysis of networks, so this workshop will show you the basic steps to do that.
Bio: Jose Manuel Magallanes is currently a full at the Department of Social Sciences Professor at Pontificia Catolica del Peru, where he is also the director of the Institute for Social Analytics and Strategic Intelligence (PULSO PUCP). He is also a part time professor at Universidad Nacional Mayor de San Marcos, and a Lecturer at the Data Analytics and Computational Social Science program at University of Massachusetts – Amherst. He is also the director of the UW eScience Winter School of Data Science Tools.
He has been eScience Senior Data Scientist, and a Visiting Professor of Computational Public Policy at the Evans School of Public Policy and Governance since Mid 2015. Jose Manuel appointment is funded by the University of Washington’s eScience Institute thanks to the Washington Research Fund, the Alfred P. Sloan Foundation, and the Gordon and Betty Moore Foundation, where he is a Senior Data Science Fellow.
Professor Magallanes has two Doctoral degrees. One in Computational Social Science from George Mason University, and another one in Psychology from Universidad Nacional Mayor de San Marcos. He also holds a Master degree in Political Science and Public Management from Pontificia Universidad Católica del Perú. He has received multidisciplinary training on computational approaches on governance matters from University Michigan (ICPSR), National University of Australia, National University of Singapore (ISS), University of Chicago (Argonne NL), Carnegie Mellon University (CASOS), and Harvard Kennedy School.
The UW Data Science Seminar
is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.
The 2023-2024 seminars will be held in person, and are free and open to the public.