Supply Chain & Information Management Academic Group

Debashish Ghose uses DASH_Box to overcome hardware bottlenecks and accelerate large-scale data analysis of Kickstarter project trends.

Professor Guohou Shan uses DASH_Box to power large-scale AI models, accelerate discovery, and build real-world applications in information security.

Professor Chris Riedl leverages DASH_Box to power breakthrough research in AI, workforce studies, and network modeling—securely and at speed.

In 2024, D'Amore-McKim professor Shawn Bhimani helped launch Supply Trace, which uses machine learning to comb through millions of data points including news clippings, container labels and shipping documents.

D'Amore-McKim professors have been recognized in Research.com's latest rankings across several disciplines, including Business and Management. This recognition highlights their significant contributions to advancing academic knowledge and shaping real-world business practices.

Esteemed faculty, alumni, and corporate partners were asked to grapple with questions like these: How do you bring AI into an organization? How do you deal with educating people about models and making them work?

A June 2024 conference sponsored by D'Amore-McKim aims to help people work smarter, not harder, thanks to the help of AI and solve the world's problems along the way.

“This was the first time it's ever been done,” says Roy Anderson, who recently won the 2023 D'Amore-McKim Teaching Innovation & Excellence Award for his Supply Chain Virtual Innovation Lab.

In the year since AI tools have become widely available, Nada Sanders has interviewed leaders across industries to asses how generative AI has altered their practices. Her research reveals that organizations are focusing their investments on enhancing the human skills of their workforce.