November 18th, 2020
Data Science in Undergraduate Economics Workshop
UC Berkeley Computing, Data Science, and Society
2pm - 5pm Pacific Time
Bringing together economics instructors innovating in the data science and economics undergraduate space
In the past few years, there has been an emergence of efforts to teach undergraduate economics using data science techniques. Jupyter notebooks as a curricular platform gives a chance for making rich and interactive curriculum. There is a huge demand from undergraduate students to study at this intersection. We would like to invite you to a virtual workshop where we can learn from each other and create community in this upcoming field.
Overview of Curricular Materials and Sharing of Open Educational Resources
Session 1
Introduction and Overview
Session 2
Panels
Session 3
Discuss & Next Steps
Speakers
Eric Van Dusen
UC Berkeley Lecturer
Interim Director of Data Science Education Program
Thomas J Sargent
QuantEcon
Professor of Economics at New York University
Nobel Prize (2011)
John Stachurski
QuantEcon
Professor of Economics at Australian National University
Gregory Bruich
Harvard University
Lecturer, Economics
Anastasiya Borys
Goldman Sachs
Associate of Quant Sales Strats
Brad DeLong
UC Berkeley
Professor of Economics
Former Deputy Assistant Secretary of the Treasury for Economic Policy
Conrad Miller
UC Berkeley
Assistant Professor at Berkeley Haas
Jesse Perla
QuantEcon
Professor of Economics at University of British Columbia
Spencer Lyon
QuantEcon
PhD Student in Economics at New York University
Sean McOwen
74 Capital Management
Coursera Instructor
Founder of financeandpython.com
Venue
Location
Due to COVID-19, we will hold this workshop virtually. Attendees will receive a Zoom link to the workshop upon registration and confirmation.
