Gordon-Loeb Model Continues to Shape Cybersecurity Investment and Expand Its Influence in the AI Era
Developed by Smith professors Lawrence Gordon and Martin Loeb, the Gordon-Loeb Model continues to guide cybersecurity investment decisions. Its use by technology-risk firm Cadents and growing research interest highlight its relevance as organizations confront new risks associated with artificial intelligence.
The Role of Ease-of-Return Experience on Contingent Free Shipping Policies
Contingent free shipping (CFS) policies, whereby consumers get free shipping if their orders exceed a certain amount, are commonplace. A CFS policy aims to nudge customers to place larger orders by adding additional items and/or buying more expensive items (order-swelling). However, a less desirable possible outcome is that customers pad their
orders to avoid paying the shipping fee but then return the opportunistic/impulse-purchase items later (return-swelling).
Smith Holds Strong in 2027 U.S. News Rankings, With Significant Finance and Specialty Gains
Maryland’s Smith School of Business ranks No. 24 nationally and No. 13 among public universities in U.S. News & World Report’s 2027 undergraduate business rankings. Finance climbs 15 spots while management information systems ranks ninth nationally and seventh among publics.
Data and methods for identifying artificial intelligence-related patents
This paper evaluates existing approaches to identifying artificial intelligence (AI)-related patents and introduces a novel, scalable framework to improve classification performance. Motivated by the growing reliance on patent data in innovation research, we assess widely used methods and document their substantial performance limitations. To address these challenges, we develop a CPC-informed label-refinement framework inspired by positive-unlabeled (PU) learning to construct high-quality training data.
From Hotspots to Help-Spots: An AI-enabled, Community-centered Risk-resource Mapping
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This project will focus on Baltimore City and/or Prince George’s County, with the final study site selected in consultation with researchers and community partners. The project’s central contribution will be the integration of two complementary geospatial frameworks: risk terrain and resource terrain.