Uncovering the Costly Bias in Marketplace Testing
Statistical bias could be misleading your product and feature testing, according to research from Columbia Business School Professor Hannah Li, but solutions might be easier than you think.
Statistical bias could be misleading your product and feature testing, according to research from Columbia Business School Professor Hannah Li, but solutions might be easier than you think.
Award-winning research from Professor Laura Doval tackles the “limited commitment” problem in economics, offering a model that helps governments and firms adjust rules and strategies based on new information over time.
Generative AI is revolutionizing market research by offering unprecedented ways to understand customers, assess competitors, and extend data-driven decision-making organizationally.
New Columbia Business School research reveals how analyzing real-time customer journey data — from search queries to filtering behavior — can predict preferences with remarkable accuracy, even without historical data.
Dean Costis Maglaras shares how CBS is equipping the next generation of business leaders to harness the power of this transformative technology.
Facebook principal scientist Shawndra Hill and Professor Olivier Toubia examine the past, present, and future of the role of data science in marketing.
A panel of tech industry experts and academic researchers discussed the ongoing legal, ethical, and political debates over data privacy.
In its ongoing war against Chinese technology companies, the Trump administration has now set its sights on China's leading social-media app, WeChat. Yet by opting for a ban, the United States has again prioritized optics over sound policymaking, with costs to America that are all too predictable.
CFTC Commissioner Brian Quintenz, Columbia's own R.A. Farrokhnia, and lawyers Gary DeWaal and Lee Schneider tackled the major regulatory questions surrounding cryptocurrencies.