Second Workshop on Artificial Intelligence for Function, Disability, and Health

August, 21, 22 or 23rd, 2021
Virtual event (IJCAI-21 in Montreal, Canada)

AI4Function 2021 is accepting papers!

About AI4Function

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.

Why Join Us

  • Showcase your original research on AI and function/disability
  • Present your previous research to a new audience
  • Learn from other research from around the world
  • Set the course of research on AI for functional status information

Call for Papers

Important Dates

  • Submissions due: May 5, 2021
  • Notification of acceptance: May 25, 2021
  • Camera-ready versions due: June 11, 2021
  • Workshop: August 21, 22, or 23, 2021

Topics and Data Sources

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

Submission Instructions

All submissions to AI4Function should be anonymous using the EasyChair submission site. Accepted papers will be published on, and submissions should follow the 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:

  • 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./li>
  • 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 - 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.

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.

Have any questions about submissions?

Organizing Committee

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