Valery Yakubovich to speak on 'Computer-Human Management Research: From Machine-Learned Prediction to Theory-Guided Action'
On November 21, 2019 the School of Business Administration of the HSE Faculty of Business and Management (FBM) will hold a research seminar. Valery Yakubovich, Ph.D., ESSEC - France Business School, will speak on "Computer-Human Management Research: From Machine-Learned Prediction to Theory-Guided Action".
Predictive machine-learning algorithms call into question the once fundamental notion in management research that theory’s role is to gain understanding. Most proponents of computational social science argue that, prediction being the ultimate test of a good theory, understanding is just a nice byproduct on the way to improving prediction. I use insights from targeted machine learning (TML) to reverse the conventional relationship between understanding and prediction. A predictive correlational machine-learned model precedes hypothesis testing; a more accurate prediction means a more precise representation of the phenomenon by data and statistical model and allows for a more efficient estimator of the hypothesized causal effect. In place of prediction, the ultimate test of understanding is the theorist’s ability to design an organizational artifact that enacts the hypothesized outcome.
Valery Yakubovich is an Associate Professor of Management at ESSEC Business School with campuses in France, Singapore, and Morocco, and Senior Fellow at the Wharton Center for Human Resources. He conducts research and teaches courses in the areas of organizational behavior, talent management, Innovation Management, and Business Networks. The results of his research have been published in leading journals, including Organization Science, Harvard Business Review, California Management Review, American Sociological Review, as well as numerous edited volumes. His current projects explore new forms of employment relationships in the context of digital transformation, AI-augmented management and leadership, and innovative non-hierarchical forms of organizing business activities. In addition to his academic work, he advises business and non-profit organizations on organizational and management innovations.
The language of the seminar is English.
Start time: 3 p.m.
Address: 26 Shabolovka st., room 3211.