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What Could Possibly Go Wrong? Data Science, Polling, and the 2020 Election

Join data scientist & social scientist Dr. Scott Adams as he unpacks how polls work, and explains what makes forecasting of election outcomes so difficult to get right. We look forward to having you as our guest for an evening of thoughtful, and timely, discussion on the challenges of political polling in the 2020 election.

date
Wednesday, January 6, 2021
time
5:30 PM - 7:30 PM (Central Standard Time)
tags
Events Public

This event has ended.


About the Event

After several well-publicized misses in the November 2020 election, polling has faced a wave of scrutiny. But just how surprised should we be when discrepancies between polling forecasts and election outcomes occur?

Join data scientist & social scientist Dr. Scott Adams as he unpacks how polls work, and explains what makes forecasting of election outcomes so difficult to get right.
We look forward to having you as our guest for an evening of thoughtful, and timely, discussion on the challenges of political polling in the 2020 election.

Key takeaways:
How polls are created and what makes them "wrong"
What is sampling error and what role does it play?
What "fine print" should we be looking for in any poll?
What role does Data Science play in election polling?

Agenda:
5:30 pm: Networking
6:00 pm: Presentation
6:20 pm: Interview with Moderator + Q&A
7:00 pm: Networking + Speaker 1:1's

About the Speakers:
Dr. Scott Adams is a Lead Data Scientist @ Northwestern Mutual and Instructor @ Promotable. He recently published an article in the authoritative Data Science Medium Publication Towards Data Science. You can read it here.

What Could Possibly Go Wrong? Data Science, Polling, and the 2020 Election
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