The Uncertainty in Artificial Intelligence (UAI 2023) workshop on “*The
History and Development of Search Methods for Causal Structure" *welcomes
submitted papers or poster abstracts.
- *Location:* Grand Room, Posner Hall 3rd Floor, Carnegie Mellon
University, Pittsburgh
- *Time:* 9 am - 5 pm, August 4th, 2023 (EST)
- *Paper submission deadline:* June 30, 2023, Anywhere on Earth
- *Author Notification:* July 15, 2023
- *Submission website:*
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopenreview.net%2Fgroup%3Fid%3Dauai.org%2FUAI%2F2023%2FWorkshop%2FCausality&data=05%7C01%7Cuai%40engr.orst.edu%7C544b7539c1234e2ca8b508db4b8359c2%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638186799738042198%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Fxq3v6sHq7VE1xbg7E27vL7gHlsLaSPibEfZGvUURCg%3D&reserved=0
<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmail.google.com%2Fopenreview.net%2Fgroup%3Fid%3Dauai.org%2FUAI%2F2023%2FWorkshop%2FCausality&data=05%7C01%7Cuai%40engr.orst.edu%7C544b7539c1234e2ca8b508db4b8359c2%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638186799738042198%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=MZPdeDrIz5uytuQ68IDjfpXOFqAnss%2BNF72zSh9ArWM%3D&reserved=0>
- *UAI workshop website:*
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cmu.edu%2Fdietrich%2Fcausality%2Fuai23ws%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C544b7539c1234e2ca8b508db4b8359c2%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638186799738042198%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=4P2ASAuzcKacywJgwclVzmj65vy64VQ3KsBZc6W%2FEUA%3D&reserved=0
- *Contact:* causality.uai2...@gmail.com, schei...@cmu.edu
*Solicitation for Contributed Papers*
We invite submissions of *case studies for oral presentations or poster
session. *
Applying causal discovery methods to empirical data to learn something
useful about interesting scientific questions is an important goal of the
wider enterprise of causal discovery. Case studies of such attempts,
either successful or unsuccessful, are important feedback to the
development of methods, and this session is meant to highlight both the
history of such efforts, and to showcase recent efforts.
Submissions should be identified as addressing “Case Studies”. *We welcome
two types of submissions: paper submission and poster submission*.
- *Paper submission* should be *no more than 8 pages* in length plus
references and supplementary material; papers will be considered for oral
or poster presentation.
- Submissions *only for posters* are also welcome and should *contain an
abstract of the content of the poster*.
*The submission should describe*
- The scientific question(s) being addressed, including the background
knowledge/theories available to scientists at the time of the application
- The empirical data collected or available
- The algorithms applied to these data (why, how, etc.)
- Experimental or other follow-ups
- The results
Submitted papers should follow the requirements for UAI 2023 submissions.
The length of submissions is flexible, but is limited to eight content
pages, including all figures and tables; additional pages containing only
references are allowed. Please format your submission using the UAI 2023
LaTeX style file. If needed, authors may additionally submit supplementary
material. *Please indicate whether it is a paper or poster submission in
the abstract*.
Best wishes,
UAI'23 Causality Workshop Organizers
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