Algorithms, machine learning, and blockchain are among the many technology breakthroughs roiling the business world these days as connectivity, artificial intelligence, and automation fuel one of the biggest upheavals in business practices in the history of industry.
From AI in the workplace and climate technology to big data market analysis and algorithms to improve dating app insights, the work of our faculty is everywhere because technology has forced every business to become digitally literate.
CBS researchers not only study and delineate this phenomenon, they also drive it in many sectors. Within the digital space, our professors write code and build and study huge data sets. They coach businesses striving to leverage the huge amounts of data now available.
For example, real estate firms are benefitting from the research of CBS Professor Stijn Van Nieuwerburgh, the Earle W. Kazis and Benjamin Schore Professor of Real Estate, who demonstrates the value of data analysis with his studies using big data to find new perspectives on real estate market trends.
Vice Dean for Research Oded Netzer, the Arthur J. Samberg Professor of Business and an Amazon Scholar, explores the use of unstructured data (text, image, video, and audio) to help companies make better data-driven decisions.
In the field of finance, Ciamac C. Moallemi, the William Von Mueing Professor of Business, uses large-scale stochastic systems with applications in financial engineering to understand decision-making under uncertainty.
And Daniel Russo, the Philip H. Geier Jr. Associate Professor of Business, uses machine learning to develop algorithms that help Spotify tailor music recommendations to individual listeners.
These are just a few examples of the ways CBS researchers are contributing to the digital revolution.
The following selections of research highlight some of the ways our faculty are developing the models and tools to facilitate data collection, as well as applying those tools to make discoveries.