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Programs : Brochure

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  • Locations: Virtual, International
  • Program Terms: Spring
  • Restrictions: Non-IILE applicants only
  • This program is currently not accepting applications.
Dates / Deadlines:

There are currently no active application cycles for this program.
Program Description:
In the 21st century, merely being informed about current events and happenings is no longer adequate. With the pervasive influence of misinformation on social media platforms, many facts that should not be controversial are readily called into question or discredited outright. This not only creates emotional tension among individuals, but—more alarmingly—also presents a systematic threat to democratic institutions and ideas across the globe. In an age of big and open data, we do not lack access to accurate information, but the average citizen often does not have sufficient quantitative reasoning skills to help them grasp fundamental statistical concepts such as effect size, absolute versus relative risk, sampling error, and the like.

In this course, we will focus on these and other concepts across a wide range of topics and disciplines, from biomedical research on vaccine and drug development, to cutting-edge modeling techniques that link local extreme weather events to broader patterns associated with climate change. Along the way, we will learn about cognitive biases that can short-circuit rational thinking about risk and uncertainty, as well as ways to mitigate the influence of these biases. By the end of the course, students will strengthen their “data sense” and statistical thinking so they are better equipped to be engaged and effective global citizens. 

Course Days and Times
Tuesday and Thursday, 08:30-09:50 (New York Time). 14:30-15:50 (Vienna Time). 

Richard Lopez

Course Level

4 US / 8 ECTS

OSUN Partner Offering Course
Bard College Annandale (ANN)

This program is currently not accepting applications.