According to a United Nation’s report on World Population Aging (2015), the number of people in the world aged 60 or over is projected to grow to 2.1 billion by year 2050. Aging can come with various complexities and challenges, such as frailty and decline in cognitive and mental health of a person.

Assistive technology refers to any device, equipment or tool that is used to maintain, increase or improve the functional capabilities of older adults or persons with disabilities. The field of assistive technology amalgamates several multi-disciplinary areas including computer science, rehabilitation engineering, data mining, clinical studies, health care, and psychology. Collecting health data using assistive technology devices is a challenging task. Mining useful information from the vast amount of health and activity-related data from older adults is important. These data and the results from data mining can help to build models that facilitate independent assisted living, promote healthy and active lifestyle, and manage rehabilitation routines effectively.

In this workshop, we invite previously unpublished and novel submissions in the following areas, but not limited to:
* Methods and protocols for data collection with older adult populations.
* Techniques for continuous streaming and monitoring of health and activity data for older adults.
* Methodologies for big data and large-scale data mining.
* Data curation, sharing and harmonization.
* Data analytics and visualization techniques for healthcare data.
* Machine learning techniques to identify abnormal behaviours and rare activities.
* Methods to detect harmful and life-threatening events in older adults such as falls, strokes, seizures, agitation, aggression, wandering.
* Older adults-centered Social Media Analytics.
* Interactive solutions for engaging older adults to help in socializing, memorizing, reducing isolation and promote healthy living.
* Use of wearable, vision, and ambient sensors or their fusion for detection of physical, cognitive and affective (emotional) disabilities or decline.
* Data mining challenges such as handling missing information, dealing with mixed, imbalanced and noisy data.
* Other innovative data mining approaches that can be translated to applications for older adult populations.

*** Keynote Speaker
Dr. Diane Cook, Huie-Rogers Chair Professor in the School of Electrical Engineering and Computer Science at Washington State University, USA. (http://www.eecs.wsu.edu/~cook/)

***Important Dates
Paper submissions: August 13, 2017
Paper notifications: September 7, 2017
Camera-ready deadline for the final version of accepted papers: September 15, 2017
Workshop date: November 18, 2017

***Best Paper Award
Cash Award(s) will be conferred at the workshop on the authors of the best paper. A committee will review the selected papers and the paper with maximum votes will get the award.

***Paper submissions will be managed through the IEEE ICDM CyberChair system. Please submit your papers at the following website:
https://wi-lab.com/cyberchair/2017/icdm17/scripts/submit.php?subarea=SP15&undisplay_detail=1&wh=/cyberchair/2017/icdm17/scripts/ws_submit.php

Submitted papers will be reviewed by at least two independent referees from the Program Committee. Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE 2-column format (link), including the bibliography and any possible appendices. Submissions longer than 10 pages will be rejected without review. All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity. The following sections give further information for authors.

***Proceedings
All the accepted papers will be included in the IEEE ICDM 2017 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library . At least one author of each accepted paper must complete the workshop registration and present the paper at the workshop, in order for the paper to be included in the proceedings.

***We are exploring the possibility of publishing the extended version of the selected workshop papers in an international journal.

***Workshop Co-chairs
Alex Mihailidis, University of Toronto, Canada
Shehroz Khan, University of Toronto and Toronto Rehabilitation Institute, Canada
Amir Ahmad, United Arab Emirates University, UAE

***Program Committee
Thomas Kirste, University of Rostock, Germany
Jesse Hoey, University of Waterloo, Canada
Thomas Ploetz, Georgia Institute of Technology, USA
Christopher Nugent, Ulster University., UK
Jesus Favela, CICESE, México
Babak Taati, Toronto Rehabilitation Institute, Canada
Daniel Lizotte, University of Western Ontario, Canada
Jennifer Boger, University of Waterloo, Canada
Marek Grzes, University of Kent, UK
Ahmad Bilal Ashraf, Toronto Rehabilitation Institute, Canada
Rosalie Wang, University of Toronto, Canada
Robby Goetschalckx, Eduworks Corporation, Corvallis, USA
Alexandra König, Université de Nice Sophia Antipolis, France
Belkacem Chikhaoui, Computer Research Institute of Montréal, Canada
Mohammad Mehedy Masud, UAE University, Al-Ain, UAE
Abhinav Dhall, Indian Institute of Technology Ropar, India
Miroslav Sili, Austrian Institute of Technology, Austria

***Social Media
To get latest updates on the workshop, please follow us on
Twitter (https://twitter.com/arialworkshop),
Facebook (https://www.facebook.com/arialworkshop), and
the Announcements webpage of ARIAL (https://sites.google.com/view/arial2017/announcements)