Keynote Speakers
Prof. Himanshu Mishra
- David Eccles Professor of Marketing
- University of Utah
Date: 11th DecemberTime:9:00am-10:00am IST
Dr. Himanshu Mishra is David Eccles Professor of marketing at the University of Utah. He has a PhD in marketing from the University of Iowa. Dr. Mishra's current research interests are broadly in the area of computational social science. He uses machine learning techniques to understand social and marketplace decisions made by people. The insights he derives from unstructured data are applied in his many collaborations with firms. His research has implications for consumer decision-making, AI and fairness, risk assessment, and well-being.
Dr. Mishra's research has appeared in numerous leading journals of marketing, business, and psychology such as the Journal of Marketing Research, Journal of Consumer Research, Psychological Science, Journal of Personality and Social Psychology, Journal of Marketing, Marketing Science, Management Science, Organizational Behavior and Human Decision Processes, American Psychologist etc. His work has been featured in a variety of media outlets such as MSNBC, Wall Street Journal, Scientific America, NPR, SmartMoney, CBS, The New York Times, Washington Post, Newsweek.
Deriving research insights using machine learning algorithms
Machine learning algorithms are becoming omnipresent in our everyday lives influencing medical diagnosis, legal systems, business decisions to even driving. In business settings, these algorithms are used to provide product recommendations, customize advertisements, detect financial fraud, approve loans, select job candidates, and optimize product delivery. The main aim of this talk is to understand how advances in machine learning algorithms affect academic research. The ability to analyze large, unstructured datasets, such as text and images, have widened the range of research questions that can be answered. For instance, Natural Language Processing algorithms from topic modelling to word embedding have made meaningful text analysis possible. Similarly, deep learning methods have made it possible for us to analyze images to gather deeper insights that were not possible previously. The talk will focus on many examples of analyzing text and image data using machine learning algorithms to derive new research insights.