Dedicated to creating and sharing knowledge

Tippie College of Business is dedicated to sharing our research with the world. Our multiple seminar series brings together esteemed scholars, faculty, and researchers from across the campus and across the globe to share their work in all of our disciplines.

Join us to discuss some of the most important topics in business research.

Upcoming seminars

Finance Clarence TOW Seminar Series - Kimberly Cornaggia

Friday, December 6, 2024 9:00am to 10:20am
Pappajohn Business Building
Kimberly Cornaggia is a Professor of Finance at the Smeal College of Business at Penn State University.

Tow Lecture in Economics: Charles Courtemanche

Monday, December 9, 2024 3:30pm to 4:45pm
Pomerantz Center
Charles Courtemanche is an Associate Professor of Economics at the University of Kentucky.
Behavioral Research Seminar Series: Tristan Gagnon-Bartsch promotional image

Behavioral Research Seminar Series: Tristan Gagnon-Bartsch

Wednesday, March 5, 2025 12:00pm to 1:00pm
Pappajohn Business Building
Learning from Others' Learning
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Past seminars

Decision Making under Uncertainty: An Optimization Perspective

Friday, March 4, 2022 3:30pm to 4:20pm
MacLean Hall
Speaker: Beste Basciftci, Dept. of Business Analytics
Colloquium - Programming Languages Techniques for Controlling Generalization Errors in Adaptive Data Analysis promotional image

Colloquium - Programming Languages Techniques for Controlling Generalization Errors in Adaptive Data Analysis

Friday, October 22, 2021 4:00pm to 5:00pm
Virtual
Speaker Marco Gaboardi (Boston University) Abstract Data analysts aim at guaranteeing that the result of a data analysis run on sample data does not differ too much from the result one would achieve by running the analysis over the entire population. To achieve this goal, they have developed several techniques to control the generalization errors of their data analyses. In this talk, I will discuss how programming language techniques can help data analysts to design adaptive data analyses...
Mechanical Engineering Graduate Seminar: Tong Wang promotional image

Mechanical Engineering Graduate Seminar: Tong Wang

Thursday, April 18, 2019 3:30pm to 4:20pm
Seamans Center
Title: Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model Presented by: Tong Wang, Assistant Professor Management Sciences, Tippie College of Business   Abstract: Interpretable machine learning has received increasing interest in recent years, especially in domains where humans are involved in the decision-making process. However, the possible loss of the task performance for gaining interpretability is often inevitable, especially for large datasets or...
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The Ultimate Interview

Thursday, September 13, 2018 5:30pm to 7:00pm
Pomerantz Center
Are you scared to be stumped by an internship or job interview question? Would you like to be able to answer the toughest interview question with confidence? Josh Frahm is an Adjunct Professor for the Tippie College of Business, a Career Coordinator, and creator of the UI STEP program at Iowa. With almost 15 years of experience working in higher education, he will be bringing the "all you need to know package" so that you have a competitive edge when entering the workforce. LULAC Collegiate...

Behavioral Research Seminar Series

This series provides a forum for faculty and PhD students who conduct behavioral research to present and discuss their current projects in a low-pressure environment.

Business Analytics Guest Lecturer Seminar Series

Join us to hear from high-profile business analytics researchers.

Clarence Tow Lectures in Economics

Scholars from both the private and public sectors present to economics faculty and students roughly once a week during the academic year.

Clarence Tow Lectures in Finance

Top finance researchers present at Tippie to faculty, PhD students, and researchers from the University of Iowa.

Research Methods Seminar Series

This series provides faculty and PhD students in Business Analytics, Economics, and Finance with opportunities to successfully introduce methods, while offering new insights for more experienced researchers.