As the workshop is being held virtually, all times are given in Universal Coordinated Time (UTC).
Corresponding times for world locations:
Qing Zeng, PhD Director, Biomedical Informatics Center & Professor, Department of Clinical Research and Leadership, George Washington University
Chih-Hung Chang, PhD Professor of Occupational Therapy, Medicine and Orthopaedic Surgery, Washington University in St. Louis
Lisa Iezzoni, MD, MSc Professor of Medicine, Harvard Medical School
Charles Jonassaint, PhD MHS Assistant Professor of Medicine, Social Work and Clinical and Translational Science, University of Pittsburgh
Panel discussion generously sponsored by the National Center for Medical Rehabilitation Research (NCMRR)
The First Workshop on Artificial Intelligence for Function, Disability, and Health (AI4Function 2020) 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.
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. Submissions should follow IJCAI-PRICAI 2020 formatting guidelines; LaTeX and Word templates are available in the IJCAI authors kit.
At least one author of each accepted paper/abstract must register for and attend the workshop.
We invite the following types of submissions:
Authors are required to submit their papers in PDF format. Papers that are not properly anonymized or 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. We are exploring a journal track for extended versions of accepted papers (TBC).
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.
Have any questions about submissions?