This one-day workshop on “Statistical Analysis of Network Data,” led by Eric Kolaczyk, professor of statistics at McGill University, is the second in the CANSSI Prairies Workshop Series in Data Science. Plan to attend on Monday, April 29, 2024, either online or in person at the University of Manitoba’s Fort Garry campus.
The workshop, presented at the level of Kolaczyk and Csardi (2020), will include four sessions on the following topics:
CDN$75 – Students
CDN$100 – Non-students
Coffee break refreshments and lunch will be provided for in-person participants.
If you would like to attend, but the cost of the event is an issue for you, please reach out to canssi@umanitoba.ca.
The workshop will take place in Room 200, Armes Building, at the University of Manitoba’s Fort Garry campus. All times are Central Daylight Time. Sessions will also be accessible online via Zoom.
9:00–10:30 a.m. | Session 1 | Background and terminology
10:30–10:45 a.m. | Morning Coffee Break
10:45 a.m.–12:15 p.m. | Session 2 | Basic elements of network visualization and characterization
12:15–1:30 p.m. | Lunch Break
1:30–3:00 p.m. | Session 3 | A hands-on session in R covering visualization, characterization and a quick look at community detection
3:00–3:15 p.m. | Afternoon Coffee Break
3:15–4:45 p.m. | Session 4 | Regression and prediction on networks
Eric Kolaczyk, PhD
Professor, Department of Mathematics and Statistics, McGill University
Eric Kolaczyk was born in 1968 in Chicago, Illinois. He obtained a BS degree in mathematics from the University of Chicago, and MS and PhD degrees in statistics from Stanford University. He is currently on the faculty in the Department of Mathematics and Statistics at McGill University. He was on the faculty in the Department of Mathematics and Statistics at Boston University from 1998 through 2022, and was faculty in the Department of Statistics at the University of Chicago before that. He also has been visiting faculty at Harvard University and l’Universite Paris VII. For almost a decade he taught an annual short-course at l’École Nationale de la Statistique et de l’Administration Économique (ENSAE) in Paris.
He is an elected fellow of the American Statistical Association (ASA), the Institute of Mathematical Statistics (IMS), and the American Association for the Advancement of Science (AAAS), an elected senior member of the Institute for Electrical and Electronics Engineers (IEEE), and an elected member of the International Statistical Institute (ISI).
The CANSSI Prairies Workshop Series in Data Science offers an excellent opportunity for individuals to enhance their knowledge and skills in various areas of data science. Through a series of engaging and interactive hybrid (online and in-person) sessions, participants have the opportunity to explore new topics, learn cutting-edge techniques, and connect with experts in the field.