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SPACA 2023 : Second Symposium on Survival Prediction: Algorithms, Challenges and Applications

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Link: https://sites.google.com/view/spaca-2023/home
 
When Oct 25, 2023 - Oct 27, 2023
Where Arlington, VA, USA
Submission Deadline Aug 11, 2023
Notification Due Sep 1, 2023
Final Version Due Sep 15, 2023
Categories    machine learning   artificial intelligence   statistics   healthcare
 

Call For Papers

Second Symposium on Survival Prediction: Algorithms, Challenges and Applications (SPACA)
Part of the AAAI Fall Symposium Series: https://aaai.org/conference/fall-symposia/aaai-2023-fall-symposium-series/

Description of symposium
Survival analysis attempts to estimate the time until a specified event (eg, death of a patient) occurs, or some related survival measures, and is widely applicable for survival prediction and risk factor analysis. A key challenge in learning effective survival models is that this time-to-event data is subject to “censoring’’ so that the time to event is only known up to a bound for such instances. We seek contributions from researchers from diverse fields including machine learning, healthcare, medicine, finance and engineering. We anticipate this will foster interdisciplinary collaborations and will catalyze the development of the next generation of the survival prediction algorithms.

Symposium URL: https://sites.google.com/view/spaca-2023/home
Submission URL: https://easychair.org/conferences/?conf=fss230 – select the Second Symposium on Survival Prediction: Algorithms, Challenges and Applications (SPACA) track
Submission Template: https://www.aaai.org/Publications/Templates/AuthorKit23.zip

Topics
This symposium will focus on the following themes, covering four aspects of survival prediction tasks. Examples of topics of interest in each theme are provided.

Novel algorithms
- Deep learning algorithms
- Learning from multimodal data
Evaluation metrics
- Calibration and discrimination
- Model comparison strategies
Foundational issues
- Identifying causal effects
- Competing risks; dependent censoring
- Uncertainty quantification
Applications
- Medicine and health care
- Manufacturing and engineering
- Finance and economics
- Law enforcement
- …

Important dates
All deadlines are at 11:59 pm Eastern Daylight Time.

Paper submission deadline: Friday, August 11, 2023
Acceptance notification: Friday, September 1, 2023
Camera-ready paper deadline: Friday, September 15, 2023
Registration deadline: Friday, September 29, 2023
Symposium dates: Wednesday, October 25, 2023 to Friday, October 27, 2023

Format of symposium
The symposium will feature invited talks, paper and poster presentations, followed by discussion group sessions to explore open challenges and future directions in development of algorithms for survival prediction and their real-world adoption in various application domains. We anticipate this symposium will be in-person.

Submission requirements
Interested participants should submit either extended abstracts for the poster sessions (4 pages maximum) or full papers (6 pages maximum, excluding references) for position, review and work-in-progress pieces. We will also consider papers that include results that have already been published (with appropriate acknowledgement). Format papers using the AAAI proceedings template: https://www.aaai.org/Publications/Templates/AuthorKit23.zip

Submissions should be formatted according to the AAAI template and submitted through the AAAI Fall Symposium Series EasyChair site at https://easychair.org/conferences/?conf=fss230 – select the Second Symposium on Survival Prediction: Algorithms, Challenges and Applications (SPACA) track. Authors of accepted papers may choose to have their paper included in the archival proceedings published by AAAI. This is optional—accepted papers where authors do not opt in for the proceedings will be published only on the symposium website and will not be considered archival for resubmission purposes.

Symposium Organizing Committee
Prof. Kevin S. Xu (chair), Case Western Reserve University, ksx2@case.edu
Prof. Russ Greiner, University of Alberta, rgreiner@ualberta.ca
Prof. George H. Chen, Carnegie Mellon University, georgechen@cmu.edu
Dr. Weijing Tang, Harvard University, wtang.stat@gmail.com
Dr. Chirag Nagpal, Google Research, chiragn@cs.cmu.com

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