About the series

The Tippie Research Office presents this series in collaboration with the departments of Business Analytics, Economics, and Finance.

Each seminar will present a computational or quantitative research method, possibly along with an application of the method, guidelines for use, and/or ethical considerations. After each presentation there will be an opportunity for attendees to ask questions and provide feedback on the session, share their own research experiences, and meet others with similar interests.

This series is a low-pressure, safe place for Tippie faculty and PhD students to learn from each other, share ideas, and seek feedback.  We strive to provide a successful introduction to methods, while offering new insights for more experienced researchers.

Who should attend?

All researchers interested in learning about research methods, including early career researchers and doctoral students. The value of the seminar for all attendees is increased by interdisciplinary participation, so please attend presentations from outside your field.

Upcoming seminars

Tippie Research Methods Seminar Series: Boli Xi promotional image

Tippie Research Methods Seminar Series: Boli Xi

Thursday, February 29, 2024 12:00pm to 1:00pm
Pappajohn Business Building
Boli Xu is an Assistant Professor of Economics at the Tippie College of Business. He will be discussing "Reserve Price Signaling with Public Information: Evidence from Online Auto Auctions."

Past seminars

Tippie Research Methods Seminar Series: Buddhika Nettasinghe promotional image

Tippie Research Methods Seminar Series: Buddhika Nettasinghe

Thursday, January 25, 2024 12:00pm
Pappajohn Business Building
Buddhika Nettasinghe is an Assistant Professor of Business Analytics at the Tippie College of Business.  Title: "Network scientific view of the emergence of structural disparities in science." Abstract: Glass ceiling effect, defined as “the unseen, yet unbreakable barrier that keeps minorities and women from rising to the upper rungs of the corporate ladder, regardless of their qualifications or achievements,” is a well-studied phenomenon. However, its emergence in directed networks (e.g...