Joseph Simmons

Joseph Simmons is a Professor of Applied Statistics and Professor of Operations, Information, and Decisions at the University of Pennsylvania's Wharton School. His research focuses on research methods, judgments and decision making, and consumer behavior. He teaches an MBA course titled Managerial Decision Making. His work explores the psychology of judgment and decision-making, including errors and biases in predictions and choices. He is also known for his contributions to improving research practices, such as exposing p-hacking, developing tools for assessing evidential value, and creating platforms for pre-registration and data sharing. His research has been published in top journals, including the Journal of Consumer Research and the Journal of Experimental Psychology: General.

Joseph Simmons is a researcher at the University of Pennsylvania focused on Judgment and Decision Making. His work explores cognitive biases, statistical practices, and the reliability of psychological research. Key areas include the critique of p-hacking, the promotion of transparency in social science, and the development of methods to correct for publication bias. His publications address issues such as algorithm aversion, intuitive confidence, and the role of pre-registration in enhancing research integrity. Simmons' research emphasizes the importance of methodological rigor and the need for robust statistical practices to ensure the validity of scientific findings.