The workshop on Causal Inference for Engineers will be held in Orlando, Florida, USA, in conjunction with ACM Sigmetrics 2023 (part of ACM FCRC).
The call for short papers can be found at https://sites.google.com/view/causal-inference-for-engineers/home .
The focus of the workshop is to introduce core concepts of causal inference to a broad engineering audience and how it can help lead to better modeling, algorithms, architecture design, and performance analysis, thus enabling better decision-making in core engineering systems. The audience will be a mix of researchers across engineering disciplines.
As part of the workshop, we will be accepting short papers that are broadly at the intersection of causal inference, engineering, and operations research. This will be non-archival and accepted papers will be presented as posters. Authors are asked to submit extended abstracts that are at most 4-pages in length using the standard PER format (http://www.sigmetrics.org/sig-alternate-per.cls).
The workshop program also includes the following invited speakers:
Alberto Abadie (MIT)
Anish Agarwal (Columbia)
Raaz Dwivedi (Cornell)
Hannah Li (Columbia)
Devavrat Shah (MIT)
Dennis Shen (USC)
Vasilis Syrgkanis (Stanford)
Christina Lee Yu (Cornell)
**Important Dates**
- Submission deadline: May 10th, 2023
- Notification of acceptance: May 15th, 2023
- Workshop date: June 19th, 2023 (full day)
**Organizers**
- Alberto Abadie (MIT)
- Anish Agarwal (Columbia)
- Devavrat Shah (MIT)
If there are any questions, please contact Anish Agarwal (first_name.last_name@gmail.com).
Best Regards,
ACM SIGMETRICS 2023 Organizing Team
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