Wednesday, July 26, 2023

[DMANET] [CFP] Second Symposium on Survival Prediction: Algorithms, Challenges and Applications (SPACA)

*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, 11 August 2023
-

Acceptance notification: Friday, 1 September 2023
-

Camera-ready paper deadline: Friday, 15 September 2023
-

Registration deadline: Friday, 29 September 2023
-

Symposium dates: Wednesday - Friday, 25 - 27 October 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

Prof. Russ Greiner, University of Alberta

Prof. George H. Chen, Carnegie Mellon University

Dr. Weijing Tang, Harvard University

Dr. Chirag Nagpal, Google Research


--

R Greiner (CIFAR AI Chair <https://cifar.ca/bios/russell-greiner/>)

Professor • Dept of Computing Science (Adjunct: Dept of Psychiatry)

Fellow • Alberta Machine Intelligence Institute

University of Alberta • Edmonton • Canada • T6G 2E8
Tel: (587) 415-9622 • rgreiner-@-ualberta-.-ca •
https://webdocs.cs.ualberta.ca/~rgreiner/

**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************