Call for Abstracts
Eighth Computational Approaches for Cancer Workshop (CAFCW22)
Held in conjunction with SC22:
The International Conference on High Performance Computing, Networking, Storage and Analysis
Location and Timing
Dallas, Texas, USA
November 13, 2022
Time 8:30 a.m. - 12 noon, CST
Key events and dates
|Abstract Submission Deadline||August 9, 2022|
|Notification of Acceptance||September 9, 2022|
|Workshop||November 13, 2022|
CAFCW22 Special Session Topic: Accelerating New Treatments
With the growing importance and availability of large amounts of data in cancer applications, the rapidly evolving use of new technologies such as machine learning and the simultaneous incentive to find new treatments, the drive towards precision medicine has accelerated. The challenges in cancer research and clinical application requiring computational solutions are growing, and the pursuit of effective predictive models for complex biological systems begin to inform future strategic and exascale computing requirements.
A special emphasis for the CAFCW22 is Accelerating New Treatments.
CAFCW22 General Topic Call: Computational Approaches for Cancer
The CAFCW22 is highly relevant to SC given the pervasive interest in cancer applications of high performance computing among conference attendees. The workshop further sustains a special topics track to attract new attendees to the conference, as the role of computation in cancer raises in visibility as well as obtainability.
The topic of cancer is, unfortunately, a topic that touches everyone, attracting participation across all demographic, geographic, professional and organizational classifications. The workshop continues a well-established record of inclusivity by maintaining diverse organizing and programming committees, maintaining substantial cross-interest representation on panels within the workshop and actively engaging participants from all backgrounds. The workshop specifically takes efforts to include international participation to foster international collaborations as well as takes steps to assure gender balance on invited panels and as presenters.
To encourage broad participation, the workshop maintains an open call for submissions of papers focused on application of computational approaches to cancer challenges for consideration to present at the workshop. Lists of potential topics are provided below, including both potential HPC technologies used in cancer applications and cancer applications that may use HPC technologies. With a rapidly evolving field, authors are also encouraged to identify areas not listed.
Listed below are topic areas for the workshop (potential topics are certainly not limited to this list)
Cancer Research and Clinical Applications
Authors are invited to submit abstracts in English for consideration by the program committee. Abstracts will be considered for 15-minute presentations, submitted in English with a length up to 500 words.
Submissions not conforming to these guidelines may be returned without consideration or review.
Abstracts will be reviewed and judged on originality, technical strength, integration of computational approaches and cancer research topics, general alignment to expressed cross-disciplinary aims of the workshop and anticipated interest to workshop attendees. Abstracts will also be considered for specific alignment to the special workshop topic of Accelerating New Treatments.
Submissions received after the due date, exceeding the prescribed length or not appropriately structured may also be returned without consideration or review.
In submitting the abstract, the authors acknowledge that at least one author of an accepted submission must register for and attend the workshop.
Abstracts should be submitted electronically as PDF documents at:
Starting last year, CAFCW expanded its reach by adding a focus on workforce development. As a part of this effort, we will, once again, be honoring students who may not traditionally attend the workshop (such as undergraduates and students from non-technical degrees) who submit accepted research. They will have a highlighted presentation, opportunities to engage with the Students@SC program, special programing focused on training and workforce development, and further awards to be announced. Students can submit their abstracts at Student Submission Form.