Recent Research (see more)
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Should you use longer clips to market your music? In new research, we show you when and why using a quasi-experiment and generative models of music.
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Can we design ML algorithms that are provably human-friendly? In new research, we show you how with a case study on expanding the taxonomy used for interest-based ad targeting at Pinterest.
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Is status persuasive in deliberation online? In a paper published in Management Science, we designed a quasi-experiment to quantify the causal impact of status using millions of conversations from the field.
- How does one make causal inferences with unstructured text data? We survey this problem in a paper published in the Transactions of the Association for Computational Linguistics.
About Us
The DAG is led by Emaad Manzoor, and is comprised of:
- Yang Gao (Cornell Marketing PhD)
- Sriniketh Vijayaraghavan (Wisconsin Marketing PhD)
- Benjamin Hu (Cornell CS MEng)
- Brian Ling (Cornell CS BS)
- Leah Liu (Cornell IS BS)
- Owen Oertell (Cornell CS BS)
- Bahar Tehranipoor (Cornell CS BS)
We are grateful for financial support from:
- American Family Data Science Institute
- Wisconsin Alumni Research Foundation
- Marketing Science Institute
- CMU Graduate Student Assembly
- CMU Office of the Provost
For queries & collaborations, email emaadmanzoor@cornell.edu.