AI4Function 2021 : Second Workshop on Artificial Intelligence for Function, Disability, and Health (AI4Function) @ IJCAI 2021
Call For Papers
[Second Call for Papers] The Second Workshop on Artificial Intelligence for Function, Disability, and Health (AI4Function) @ IJCAI 2021
Where: Virtual event (host conference in Montreal, Canada)
When: August 21, 22, or 23, 2021
Submissions due – May 7, 2021 **EXTENDED**
Notification of acceptance – May 25, 2021
Camera-ready versions due – June 11, 2021
Workshop – August 21, 22, or 23, 2021
Submission link: https://easychair.org/conferences/?conf=ai4function2021
**Submission deadline has been extended to May 7**
The Second Workshop on Artificial Intelligence for Function, Disability, and Health (AI4Function 2021) invites the submission of abstracts, short and long papers describing research that focuses on applying informatics methods, artificial intelligence (AI) or data mining techniques in the area of whole-person care, disability, and functional status information. Functional Status Information (FSI) describes physical and mental wellness at the whole-person level (as opposed to the cellular or organ level), and includes information on activity performance, social role participation, and environmental and personal factors that affect well-being and quality of life. Collecting and analyzing this information is critical to addressing the data needs in caring for aging global populations, and providing effective care for individuals with chronic conditions, multi-morbidity, and disability. However, FSI has proven difficult to capture systematically within existing paradigms, leaving a space ripe for technological innovation.
AI4Function is a venue for researchers cutting across data science and AI methods to discuss new ways to collect and utilize FSI within healthcare delivery, public health, and social well-being. The first AI4Function workshop brought together researchers from fields as diverse as natural language processing, in-home sensing, psychometrics, and health policy, and we aim to continue this multidisciplinary exchange in the second iteration of the workshop.
Relevant topics for the workshop include, but are not limited to:
- Informatics methods applied to FSI, including information extraction, information retrieval, and classification of FSI (e.g. mobility, self-care, mental functioning)
- Applications of AI for functional status measurement
- Usage of FSI to model health outcomes/resource utilization
- Terminologies and ontologies related to functional status
- Analysis of FSI data (e.g., language data, wearable measurements)
- Combinations of multi-modal data to capture functional status
Data sources of interest include, but are not limited to:
- Medical records
- Disability and work programs
- Health and human services data
- Wearable devices
- Social media
Targeted data types include, but are not limited to:
- Unstructured (free text) narrative
- Structured medical data (e.g., lab reports, range of motion assessments)
- Semi-structured reports (e.g., state welfare visit reports)
- Standardized clinical surveys (e.g., PROMIS, AM-PAC, PHQ-9)
- Population surveys
- Wearable device measurements
- Video and audio recordings
All submissions to AI4Function should be anonymous using the EasyChair submission site (https://easychair.org/conferences/?conf=ai4function2021). Accepted papers will be published on CEUR-WS.org, and submissions should follow the CEURART style available from: https://ceurws.wordpress.com/2020/03/31/ceurws-publishes-ceurart-paper-style/.
At least one author of each accepted paper/abstract must purchase a registration for and attend the workshop.
We invite three types of submissions:
- Long papers must be no longer than eight pages for the main body of the paper (including tables and figures), with unlimited space for references. Long papers are expected to describe reports of original, unpublished research.
- Short papers must be no longer than four pages for the main body of the paper (including tables and figures), with unlimited space for references. Short papers must describe original, unpublished research, and are appropriate for preliminary results, work in progress, etc.
- Abstracts must be less than two pages, including references. Abstracts are appropriate for presenting previously-published research and work in progress.
Authors are required to submit their papers/abstracts in PDF format. Papers that are longer than the page limit will be rejected without review.
It is optional, but highly recommended, for authors to include a statement of the potential broader impact of their work, including its ethical aspects and future societal consequences. This statement should be included after the main body of the paper, and does not count towards page limits.
All submissions to AI4Function will go through a double-blind reviewing process. Accepted abstracts will be presented in the poster session. Accepted papers will be presented as either a talk or a poster, depending on the reviewers’ recommendations.
Accepted short and long papers will be given an additional page to accommodate responses to reviewer feedback; no author response period will be used. Accepted papers will be published in the workshop proceedings on CEUR-WS.
The existence of non-anonymous preprints (on arXiv, medRxiv, social media, websites, etc.) will not result in rejection provided that the preprints was submitted at least one month before the abstract submission deadline of AI4Function 2021. Note that the submission to EasyChair must always be anonymized regardless of whether a preprint has been released. Reviewers will be instructed not to actively look for such preprints, but encountering them will not constitute a conflict of interest. Preprints (last update) uploaded no more than one month before the AI4Function 2021 abstract submission deadline will be considered as violating anonymity.
AI4Function will adopt the IJCAI confidentiality policy, where all submissions will be treated in strict confidence until the publication date.
CONFLICT OF INTEREST POLICY
All individuals involved in the AI4Function review process must adhere to the IJCAI conflict of interest policy. Details can be found at http://ijcai.org/
Denis Newman-Griffis (University of Pittsburgh / National Institutes of Health Clinical Center)
Bart Desmet (National Institutes of Health Clinical Center)
Ayah Zirikly (Johns Hopkins University / National Institutes of Health Clinical Center)
Suzanne Tamang (Stanford University)
Hongfang Liu (Mayo Clinic)