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.
All times are given in Eastern Daylight Time (UTC-4).
Corresponding times for world locations:
Thomas Bulea, PhD Staff Scientist, Functional & Applied Biomechanics Section, Rehabilitation Medicine Department, NIH Clinical Center
Kelly N Daley, PT, MBA Director of Rehabilitation Informatics, Department of Physical Medicine and Rehabilitation, Johns Hopkins Hospital
Shivayogi V Hiremath, PhD Assistant Professor of Health and Rehabilitation Sciences, Temple University
Min Lee PhD Student, Carnegie Mellon University
Elizabeth Rasch, PT, PhD Staff Scientist and Chief, Epidemiology & Biostatistics Section, Rehabilitation Medicine Department, NIH Clinical Center
Relevant topics for the workshop include, but are not limited to:
Data sources of interest include, but are not limited to:
Targeted data types include, but are not limited to:
All submissions to AI4Function should be anonymous using the EasyChair submission site. Accepted papers will be published on CEUR-WS.org, and submissions should follow the single-column CEURART style available for download here .
At least one author of each accepted paper/abstract must purchase a registration for and attend the workshop.
We invite the following types of submissions:
Authors are required to submit their papers/abstracts in PDF format. Papers that are longer than the page limit will be rejected without review.
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 published in the workshop proceedings on CEUR-WS.
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.
All individuals involved in the AI4Function review process must adhere to the IJCAI conflict of interest policy. Details can be found at the IJCAI website.