David J. Peters—invited speaker for Iowa Ideas Conference 2023. A Closer Look at the Rural-Urban Divide in Iowa.

August 28, 2023

David J. Peters was on National Public Radio….. “Elizabeth Currid-Halkett on the ‘The Overlooked Americans’”. 1A, Washington DC Public Radio (WAMU), aired 8/23/2023.

August 28, 2023

David J. Peters receives USDA NIFA AFRI grant for Understanding Rural Quality of Life in an Era of Demographic Transition and COVID-19 Recovery: 2024 Wave of the Iowa Small Towns Project

August 28, 2023

David J. Peters—Gene Editing in Agriculture: Social Concerns, Public Engagement and Governance

Review of current and future research on how institutional actions are engaging with the public about their concerns of gene edited foods; and how effectively those institutions are responding to public concerns. Read More

August 28, 2023

Katie Dentzman receives grant through USDA-Specialty Crop Research Initiative for “Enhancing integrated insect pest management strategies for U.S. potato production systems”

August 22, 2023

Katie Dentzman—Perspectives of Certified Crop Advisors on pesticide resistance management

August 22, 2023

Jeff Bouffard—Mediators of the link between psychopathy and sexual coercion: The role of rape myth acceptance, arousal, and misperception of sexual interest

This study explored the relationship between psychopathy, various cognitive distortions that could promote sexual coercion (like rape myth acceptance -RMA, and misperception of someone’s sexual… Read More

August 22, 2023

Shannon Harper co-author—Fiduciary Responsibility: Facilitating Public Trust in Automated Decision-Making

August 22, 2023

Shannon Harper receives ISU Award for Early Achievement in Teaching

August 22, 2023

Shannon Harper is Co-PI on grant from National Science Foundation (NSF)

The research will develop novel algorithms for detecting anomalies within large spatiotemporal datasets. By mixing topological and Fourier-analytic methods, we will develop a new form of time series analysis particularly suited to spatiotemporal datasets. The goal is to leverage these new methods to build geometric models of anomalies, allowing for real-time detection and identification of significant events. Our novel algorithms will be designed for the purpose of developing quantitative models of human mobility and predicting events that are potentially harmful to society. Read More

August 22, 2023