In this episode of "Information Changes Everything,", we put the spotlight on Jeff Furman, chair of the board of Ben & Jerry's Ice Cream. Join us as Jeff takes us back to the early days of Ben & Jerry's in the 1980s, sharing how the company’s humble beginnings evolved into a powerful social mission. This mission has propelled Ben & Jerry's to the forefront of socially responsible business practices. Celebrating Ben & Jerry’s 35th anniversary, Jeff provides insights into the company’s journey and its ongoing commitment to making a positive impact. For the full video of this talk visit: https://www.youtube.com/watch?v=9HApxrdrqVA
Headlines: UMSI community mourns the passing of distinguished alumna Nancy Gwinn, Faces of UMSI: Rachael Zuppke, https://www.forbes.com/sites/forbesbusinesscouncil/2024/02/01/ais-energy-appetite-meeting-the-demand-for-innovation/?sh=48aa396b46d1

In this episode of "Information Changes Everything,", we hear from economist and professor Lise Vesterlund, who examines why women in the workforce are disproportionately asked to perform “non-promotable work.” This work, often essential yet undervalued, leaves women overcommitted and underutilized in their careers. Lise Vesterlund is the Andrew W. Mellon Professor of Economics at the University of Pittsburgh, director of the Pittsburgh Experimental Economics Laboratory, and co-author of "The No Club: Putting a Stop to Women’s Dead-End Work," a Financial Times top business book. For the full video of this talk visit: https://www.youtube.com/watch?v=2tvpavrr2AE&ab_channel=SchoolofInformation
Headlines: Faculty Research Highlight: Sile O’Modhrain | umsi, A year of water: Snapshots from UMSI’s first theme year | umsi, https://www.searchenginejournal.com/google-launches-how-search-works-series-to-demystify-seo/508425/

Anticipating AI failures in healthcare with Dr. Karandeep Singh | In this episode of "Information Changes Everything," Dr. Karandeep Singh, a leader in machine learning within health systems, discusses the common challenges and failures in AI model implementation in healthcare. Using real-world examples, Dr. Singh addresses issues such as reproducibility, transportability, and intervention efficacy. He offers insights on anticipating these challenges, estimating their impact, and designing better interventions to improve patient care. Tune in to learn practical strategies for overcoming AI implementation roadblocks in healthcare. For the full video of this talk visit: https://www.youtube.com/watch?v=X19dfN5ZM6c&ab_channel=SchoolofInformation
Headlines: Jurgens: U-M is taking the lead on creating AI tools for faculty, students | umsi | Where do Nextdoor communities exist—and what do they talk about? | umsi, https://news.ncsu.edu/2024/04/nc-state-researchers-use-machine-learning-to-create-a-fabric-based-touch-sensor/