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In a follow-up workshop to a November 6 talk, Ali Kabiri will discuss his findings to illustrate how sentiment and narrative analysis can be operationalized and how its effect on financial and economic phenomena can be tested. Advances in data science, particularly machine learning, and rapidly growing data collection and storage provide researchers with new possibilities. He will provide ideas for how economists and social scientists can leverage this new set of tools. This is a technical demo/workshop; examples will be in R, Python, and Stata.
Dr. Kabiri is Head of Economics and Co-director of the M.Sc. in Money Banking and Central Banking at the University of Buckingham. He studied Investment and Banking at ICMA, Reading University and then continued at the London School of Economics (LSE) and Cass Business School where he earned a Ph.D. in Finance specializing in measuring asset bubbles. From 2010-12 he was a Lecturer in Economics at Cass.
He has been a Research Associate at the LSE Financial Markets Group (FMG) since 2012 and is an Honorary Lecturer at University College London (UCL) in the Dept. of Clinical Educational and Health Psychology. He has been a Visiting Research Scholar at Columbia University, Princeton University, Rutgers University and Yale School of Management in the USA. His research interests include financial frictions, behavioral economics and economic/financial History. He is currently working with Princeton University and UCL on the role of psychology during economic booms and recessions.