Knowledge creation with a transformative impact on business
As a Carnegie R1 research institution and a member of Association of American Universities (AAU), the University of Iowa is among the world’s leading research universities. The Tippie College of Business is part of this rich research ecosystem, with a proud legacy of thought leadership and research that transforms practice.
From Erik Lie, named a Time 100: Most Influential People in the World for his ground-breaking research on options backdating, to Ann Campbell, an international thought leader in transportation logistics, Tippie faculty are making research discoveries with both academic and practical applications across its academic departments.
Featured research initiatives
Tippie is home to groups of researchers whose interests are aligned around some of the most salient issues of our time, including healthcare, women in business, futures markets, social responsibility, and sustainability.
Social Impact Community
A group of Tippie researchers organized around the broad topic of social responsibility and sustainability, and connecting their work to the United Nations Sustainable Development Goals.
Behavioral Research Lab
Tippie provides facilities for faculty to collaborate on research initiatives, conduct experiments, and use advanced technology to further their findings.
Researchers across the Tippie College of Business conduct human behavior research in areas of marketing, experimental economics, teamwork, and decision science. Tippie's behavioral research facilities include a large 30-person room with flexible arrangement options, a subject welcome area and three small group rooms. Researchers conduct experiments using Tobii X2-60 and Mirametrix s2 eye tracker technology, Oculus Rift virtual reality, as well as computer and paper-based studies. Get in touch with the lab to learn more.
Connections in the classroom help solve real world problems
Burer and two business analytics students won third place in Swiss agribusiness Sygenta’s global challenge. The Crop Challenge in Analytics asked participants to develop a model that predicts the seed varieties farmers should plant to maximize expected yield while managing weather risk.
They used soil-property data, seed-variety data, and weather data to create an optimization model with open-source tools like R, Cbc, Julia, and JuMP.
“We brought all the tools we knew together,” Burer says. “There was a lot of data cleanup, statistical analysis, and optimization to understand the data. We came in third place among 36 teams from around the world.”
Sam Burer, Business Analytics Professor
Read Sam's story
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Tippie College of Business faculty have a wide range of expertise and they're available for media interviews as well as public engagements.