A reminder that the deadline for ACM-CHIL 2021 is: - 7th January for abstract - 11th January for full submission
We have three tracks: 1. Models and Methods 2. Applications and Practice 3. Impact and Society The conference will be held virtually, April 8-10 2021. More details on the website: https://www.chilconference.org/call-for-papers.html Please share with any interested colleagues or students! On Wed, Nov 25, 2020 at 7:38 PM Sanja Šćepanović <sanjascepano...@gmail.com> wrote: > ACM-CHIL 2021 Call for Papers - Conference on Health, Inference and > Learning (Virtual, April 2021) > > The ACM Conference on Health, Inference, and Learning (ACM-CHIL 2021) > solicits work across a variety of disciplines, including machine learning, > statistics, epidemiology, health policy, operations, and economics. > ACM-CHIL 2021 invites submissions touching on topics focused on relevant > problems affecting health. Authors are invited to submit 8-10 page papers > (with unlimited pages for references) to each of the tracks described below. > > Link to CFP: https://www.chilconference.org/call-for-papers.html > > Important Dates > > - Abstracts due – January 7, 2021 (11:59 pm AoE) > - Submissions due – January 11, 2021 (11:59 pm AoE) > - Notification of Acceptance – Feb 15, 2021 (11:59 pm AoE) > - Camera Ready Due – March 5, 2021 (11:59 pm AoE) > - Conference Dates – April 8-10, 2021 > > > === Tracks and topics === > > - Track 1: Models and Methods > - Track 2: Applications and Practice > - Track 3: Impact and Society > > Topics for each track include but are not restricted to: > > Track 1 (Models and Methods): > > - (Un)supervised learning, representation learning > - Natural language processing, knowledge graphs > - Computer vision > - Survival analysis > - Deep learning architectures > - Transfer learning, domain adaptation > - Bayesian learning, inference > - Structured learning > - Robust learning > - Causal inference > > Track 2 (Applications and Practice): > > - Examination of robustness of ML systems to real-world dataset shift, > adversarial shift, or on minority subpopulations > - Investigations into model performance on minority subpopulations, > and the implications thereof > - Scalable, safe machine learning/inference in clinical environments > - New tools or comprehensive benchmarks for machine learning for > healthcare > - Development of scalable systems for processing data in practice > (demonstrating, e.g., concern for multi-modality, runtime, robustness, > etc., as guided by a clinical use case) > - Bridging the deployment gap > - Remote, wearable, and telehealth > - Data or software packages > > Track 3 (Impact and Society): > > - Fairness, equity, ethics and justice > - Model implementation, deployment, and adoption > - Policy, public health, and societal impact of algorithms > - Interpretability > - System design for implementation of ML at scale > - Regulatory frameworks > - Tools for adoption of ML > - Evaluation of bias in legal and/or health contexts > - Human-algorithm interaction > > For more detail on the scope of each track, consult the online CFP: > https://www.chilconference.org/call-for-papers.html > > In case you are not sure which track your submission fits under, feel free > to contact the track or program committee chairs for clarification. > > > === Submission Details and Guidelines === > > For full details, refer to the online CFP: > https://www.chilconference.org/call-for-papers.html. > > Length and Formatting > > Submitted papers must be 8-10 pages (including all figures and tables), > plus unlimited pages for references. Additional supplementary materials > (e.g., appendices) can be submitted with their main manuscript. Reviewers > will not be required to read the supplementary materials. Papers that are > neither in ACM format or exceeding the specified page length, may be > rejected without review. > > Archival Submissions > > Submissions to the main conference are considered archival and will appear > in the published proceedings of the conference if accepted. > > Dual Submission Policy > > You may not submit papers that are identical, or substantially similar to > versions that are currently under review at another conference or journal, > have been previously published, or have been accepted for publication. > Submissions to the main conference are considered archival and will appear > in the published proceedings of the conference if accepted. > > An exception to this rule is extensions of workshop papers that have > previously appeared in non-archival venues, such as workshops, arXiv, or > similar without formal proceedings. These works may be submitted as-is or > in an extended form. ACM-CHIL also welcomes full paper submissions that > extend previously published short papers or abstracts, so long as the > previously published version does not exceed 4 pages in length. Note that > the submission should not cite the workshop/report and preserve anonymity > in the submitted manuscript. > > Peer Review > > The review process is double-blind. Please submit completely anonymized > drafts. Please do not include any identifying information, and refrain from > citing the authors’ own prior work in anything other than third-person. > Violations to this policy may result in rejection without review. > > Conference organizers and reviewers are required to maintain > confidentiality of submitted material. Upon acceptance, the titles, > authorship, and abstracts of papers will be released prior to the > conference. > > Open Access > > ACM-CHIL is committed to open science and ensuring our proceedings are > freely available. The conference will make use of the ‘ACM Authorizer “Open > Access” Service’ and ‘ACM OpenTOC Service’, allowing unrestricted access to > individual papers as well as the overall proceedings. > > > === ACM-CHIL 2021 Organisers === > > Dr. Marzyeh Ghassemi, Dr. Tristan Naumann, Dr. Emma Pierson, Emily > Alsentzer, Matthew McDermott, Dr. George Chen, Dr. Stephanie Hyland, Dr. > Sanja Šćepanović, Dr. Sanmi Koyejo, Dr. Joyce Ho, Dr. Brett Beaulieu-Jones, > Irene Chen, Dr. Jessica Gronsbell, Dr. Tom Pollard > > Track 1 Chairs: Dr. Michael Hughes, Dr. Shalmali Joshi, Dr. Rajesh > Ranganath, Dr. Rahul G. Krishnan > > Track 2 Chairs: Dr. Tom Pollard, Dr. Bobak Mortazavi, Dr. Andrew Beam, Dr. > Uri Shalit > > Track 3 Chairs: Dr. Alistair Johnston, Dr. Rumi Chunara, Dr. George Chen >
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