PyData Global 2022

Shrabastee Banerjee

I'm an Assistant Professor of Marketing at the Tilburg School of Economics and Management. I am broadly interested in online marketplaces and e-commerce. Particularly, I aim to look at how consumers make use of various cues in an e-commerce setting, and how these cues might have an impact on decision making. Examples include user-generated content such as reviews/ratings, non-focal prices advertised by a platform on their product page, and recommender systems. The primary methodologies I use are causal inference, experiments/quasi experiments and applied machine learning. In a separate stream of projects, I am also interested in applications of digitization for equity and development.

I received my PhD in Marketing from Boston University, where I was also a Rafik Hariri Graduate Fellow. Prior to that, I did my B.Sc (Calcutta University) and M.Sc (Warwick University, as a Commonwealth scholar) in Economics.

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Sessions

12-03
12:00
90min
Lightning Talks
Shivay Lamba, Srikanth, Kefentse Mothusi, Shrabastee Banerjee, Roshini Sudhaharan, Ted Conway, Lutz Ostkamp, SARADINDU SENGUPTA, Srivatsa Kundurthy, Aadit Kapoor

Lightning Talks are short 5-10 minute sessions presented by community members on a variety of interesting topics.

Lightning Talks
Talk Track II
10min
Introducing Tilburg Science Hub: An Open Source Platform for Computational Social Science
Shrabastee Banerjee, Roshini Sudhaharan

This lightning talk will introduce Tilburg Science Hub (https://tilburgsciencehub.com/), an open source platform created by social science researchers at Tilburg University, the Netherlands. The talk will walk listeners through the importance of adopting replicable, open tools in the context of empirical economics and management research. It will then highlight some ways in which Tilburg Science Hub can help researchers streamline their workflow, learn new skills and contribute knowledge.