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Transparent Research Series: Open source reproducible research in Python

L.R. Wilson Hall, 5th floor CRESS

25/10/2019, 9:00 am - TO 25/10/2019 - 4:00 pm

Organizer: Centre for Research in Empirical Social Science

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Open source reproducible research in Python

One of Canada’s most innovative computational social scientists, Mickael Temporão, highlights the tools and approaches needed to harness big data and machine learning for understanding public opinion.

The workshop introduces the use of Python and open source technologies to share and democratize your research. No prior background in Python, open source technologies, big data or machine learning is required.

Join us if you wish to be exposed to and build practical skills in the research of tomorrow. This event may be of interest especially for those in business, medicine, computer science, and engineering.

Mickael Temporão leads an interdisciplinary team of data scientists examining public opinion dynamics is forecast and solve social problems. Delphi is an innovative Fin-tech startup awarded 4-conbinator funding among other honors.

This event is run by the Centre for Research in Empirical Social Sciences (CRESS), Faculty of Social Sciences.

Registration for this event is required: https://cress.mcmaster.ca/events