The Latest
The State of Artificial Intelligence Regulation in the U.S.
Distinguished Professor Hemant Bhargava and UC Davis undergraduates advocate for greater AI regulation
Distinguished Professor Hemant Bhargava explains how the rapid rise of AI has sparked urgent calls for regulation, with state governments in the U.S. taking the lead, as revealed by recent data.
The Impact of Climate Change on Financial Markets: Lack of Consensus Perils Investors
Professor Paul Griffin say 30+ years of academic research falls short
Despite three decades of research, academia lacks consensus on climate-related financial risk. Emeritus Distinguished Professor Paul Griffin co-wrote a study that identified key papers, highlighting ongoing uncertainties that disadvantage investors and hinder policymakers.
Tesla Fires Its Supercharger Team. Crazy? But Why?
Elon Musk shocks by axing Tesla's 500-strong Supercharger team. Why? Distinguished Professor Hemant Bhargava explains if it’s Musk's bold vision, strategic imperative or another whim like Twitter layoffs.
UC Davis MBA Sustainable Energy Industry Immersion - Executive Guest Speaker Video
Live case studies presented by Katie Sloan, Southern California Edison
The Sustainable Energy Industry Immersion explores the latest trends and challenges shaping an industry at the forefront of global development, environmental conservation, national security and financial markets.
Comstock's Startup of the Month: Soar Optics
Alumnus Steve Barnett: "Technology can be modified to detect microplastics in wastewater, soil and food."
Soar Optics CEO Steve Barnett MBA 10 featured in Comstock's for the start-up's pioneering and patented microplastic detection tech. Positive reviews drive plans for advancement and prototype funding.
Does It Really Matter Who Delivers Your Online Orders?
UC Davis study shows e-tailers with their own fleets boost trust and sales
Online retailers like Amazon and JD.com in China have invested billions on their own fleets of vehicles, planes and even drones to ensure smooth deliveries. Is it worth it? Marketing Professor Prasad Naik took a deep dive into the data to find out.
Decoding Illicit Networks: Fintech Apps are New Frontier for Illegal Drug Trafficking
Drug dealers go digital, deeply embedded in Venmo
Assistant Professor Pantelis Loupos blogs about his research using sophisticated machine learning to uncover how illegal drug dealers have co-opted Venmo—and the need for more regulatory measures and innovations in crime prevention.
Navigating the Sticky Terrain of Creative Shifts
The challenges of market repositioning for authors, artists and career switchers
In a world that seeks innovation and celebrates reinvention, our research findings invite us to reflect on the perceptual biases that may hold these endeavors back, says Professor Greta Hsu.
From Authors to Career Switchers: Professor Greta Hsu on Market Category Constraints
Poets&Quants: UC Davis Thought Leadership Video Series
In the latest UC Davis Thought Leadership Series, John Byrne interviews Professor Greta Hsu, whose pioneering research on “categorical stickiness” explains how moviemakers, tobacco companies and book authors position themselves in the market.
From Apple to Academia: Professor Andrew Hargadon on Innovation
Poets&Quants: UC Davis Thought Leadership Video Series
Catch the first in our series of UC Davis Thought Leadership spotlights with Poets&Quants. Professor Andrew Hargadon is at the forefront of teaching, research and practice in cross-disciplinary entrepreneurship.
Machine Learning Algos vs. Wall Street Stock Analysts
Our research on forecasting and overreacting predictions breaks new ground
Are robots better stock analysts than humans? Assistant Professor Keer Yang explains his latest research that shows the use of machine learning methods offers certain advantages, but it doesn't strictly outperform human analysts.
The War Over Work From Home: The Data CEOs And Workers Need To Know
In Forbes, Professor Emeritus Kim Elsbach says her research has found that when people are seen in the office, even when nothing is known about the quality of their work, they are perceived as more reliable and dependable than remote workers.
