Date: December 6-7, 2021, 8:30am-5:30pm U.S. Central Time Zone

Location: Online

NEW: Conference Schedule

Keynote speakers:

Jeffrey Kaye, Professor of Neurology, School of Medicine; Layton Professor and Director, Layton Aging and Alzheimer’s Disease Center, School of Medicine, Oregon Health & Science University https://www.ohsu.edu/people/jeffrey-kaye-md

Jing Wang, Dean and Professor, Florida State University College of Nursing; https://nursing.fsu.edu/people/fsu-nursing-faculty

Contact: For more information about the conference, contact our team at ahic@utexas.edu

Meet the Editors-in-Chief

We are pleased to announce this exciting panel, featuring prominent Editors-in-Chief of aging or health informatics-related journals, to discuss and promote interdisciplinary research at the intersection among aging, health, and informatics.

Time: 5-6:30pm EST/4-5:30pm CST on Monday, December 6, 2021.

Panelists:

Discussant: Karen Rose, OSU (https://nursing.osu.edu/faculty-and-staff/karen-m-rose).

Registration

Click to here to register (Registration is FREE but required.)

Call for abstracts

Background and Aims

Information and communication technologies (ICTs) affect the health and well-being of aging adults in many ways, yet older adults’ adoption and use of new ICTs lag behind those of younger people. Understanding older adults’ diverse needs and preferences is essential for facilitating the learning and use of eHealth/mHealth tools by older adults and their caregivers. To address the intersection of current trends in aging and technology requires interdisciplinary discussion and collaboration. The Aging and Health Informatics Conference (AHIC) aims to provide a highly interdisciplinary forum for researchers, educators, clinicians, as well as government agencies, non-profit, and for-profit organizations at the national, state, and local levels to explore and collaborate on the social, behavioral, and design aspects of health informatics as related to aging, culture, and community.

Building on the success of our 2019 AHIC, our 2021 AHIC calls for participation from a wide range of academic fields and disciplines, including (but are not limited to) Anthropology, Communications, Computer Science, Engineering, Gerontology, Human Development, Information Science, Medicine, Nursing, Nutritional Science, Pharmacy, Psychology, Social Work, and Sociology. We will also encourage participation of non-academics working with and for older adults, including those from government agencies at the federal, state, and local levels; staff and administrators of public libraries, senior centers, senior-living facilities, and other community organizations serving the older population; and members of the industry designing technology for aging users and their caregivers.

Potential topics may include (but are not limited to):

  • The diverse health information needs and behaviors of older adults, especially those who are traditionally underserved (e.g., ethnic minorities, older adults with disabilities);
  • Older adults’ perceptions, learning and use of technology for health information and decision-making (e.g., for wellness, preventative care, and self-management of chronic conditions);
  • Design eHealth/mHealth (e.g., patient portals, wearable devices, mobile apps, artificial intelligence tools) to meet the diverse needs and preferences of older adults;
  • eHealth literacy, digital divide, health disparities, and patient education among older adults;
  • Privacy, security, and related ethical issues in older adults’ interaction with technology;
  • Older adults and their family caregivers’ needs and preferences for technology in chronic condition self-management and end-of-life decision making;
  • Older adults’ interaction with health misinformation on various technological platforms (e.g., social media, mobile apps);
  • Dementia-related health informatics research and applications; and
  • Health informatics for older adults during global health crises like as the COVID-19 pandemic.

Target Audience

The Conference is highly interdisciplinary by nature, and expects to feature speakers from a wide range of fields and disciplines. This conference will provide opportunities for faculty and graduate students to engage in professional development by (1) presenting research at the conference as podium presentations, (2) showcasing preliminary research as posters, and (3) networking with other researchers with similar interests. We also encourage participation from non-academics working with and for older adults, including those from government agencies at the federal, state, and local levels, staff and administrators of public libraries, senior centers, senior-living facilities, and other community organizations serving the older population, and the industry designing technology for aging users.

Abstract Submission

Podium and poster presentations are invited on any topic within the scope of the conference. Podium presentations are meant for well-developed research projects where the presenters can report study findings, while poster presentations are more suitable for reporting preliminary results of work-in-progress. Students are encouraged to submit abstracts. Interdisciplinary research teams involving authors from at least two different disciplines or fields are especially encouraged to submit abstracts.

We strongly encourage submissions by women, underrepresented minorities in the sciences including individuals from underrepresented racial and ethnic groups and individuals with disabilities.

The abstract submission must include the following information:

  • Title of the abstract (no more than 200 characters including the spaces between words)
  • Body of the abstract: no more than 300 words
  • Author name, affiliation, contact information, and
  • Preference for the Type of Presentation (Podium or Poster).

The 2021 AHIC is sponsored by the National Institute on Aging of the National Institutes of Health (#R13AG067668; PI: Bo Xie). There will be no registration fee.

Abstract submission deadline: September 30, 2021. SUBMIT HERE

Conference Awards and Scholarships

  • Best Student Poster Awards. Up to TWO (2) awards will be made to students who present the best posters at the conference. Each student winner will receive a $100 cash prize and an award certificate. These awards were made possible by the School of Information and the John P. and Alice M. Commons Excellence Fund.
  • Best Interdisciplinary Research Awards. Up to TWO (2) awards will be made to teams presenting innovative interdisciplinary research projects on topics of interest to the conference. To be eligible, each research team must include researchers (faculty and/or students) from at least two different academic disciplines. Each winning team will receive a $150 cash prize (total). Additionally, each team member will receive an award certificate. These awards were made possible by the School of Information and the John P. and Alice M. Commons Excellence Fund.

Conference Sponsors

  • National Institute on Aging of the National Institutes of Health (#R13AG067668; PI: Bo Xie)
  • The University of Texas at Austin
    • School of Nursing
      • Ed and Molly Smith Centennial Fellowship in Nursing
    • School of Information
    • Texas Aging and Longevity Center

Conference Chair:

  • Bo Xie, Professor, School of Nursing; School of Information, The University of Texas at Austin

Planning Committee Members:

  • Suzanne Bakken, PhD, RN, FAAN, FACMI, FIAHI, Alumni Professor of Nursing and Professor of Biomedical Informatics and Co-Chair, Data Science Institute’s Health Analytic Center, Columbia University
  • Neil Charness, PhD, William G. Chase Professor of Psychology; Director, Institute for Successful Longevity, Florida State University
  • Shelia Cotten, PhD, Associate Vice President for Research Development, Clemson University
  • George Demiris, PhD, FACMI, PIK (Penn Integrates Knowledge) University Professor, Department of Biobehavioral Health Sciences, School of Nursing, and Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania
  • Karen Fingerman, PhD, Wilson Regents Professor in Human Ecology, Human Development & Family Sciences; Director, Texas Aging & Longevity Center, UT Austin
  • Kyriakos Markides, PhD, Professor, Annie and John Gnitzinger Distinguished Professor of Aging and Professor in the Department of Preventive Medicine and Community Health at the University of Texas Medical Branch in Galveston (UTMB).
  • Chi-Ren Shyu, PhD, Director, Institute for Data Science and Informatics, Paul K. and Dianne Shumaker Professor, Electrical Engineering and Computer Science, University of Missouri, Columbia
  • Rebeca Wong, PhD, P. & S. Kempner Distinguished Professor in Health Disparities; Professor and Vice Chair, Department of Preventive Medicine and Community Health; Director, WHO/PAHO Collaborating Center on Aging and Health; and Associate Director and Senior Fellow, Sealy Center on Aging, UTMB.

Program Committee Members:

  • Adriana Arcia, School of Nursing, Columbia University
  • Nathan Davis, School of Information, The University of Texas at Austin
  • Atami Sagna De Main, School of Nursing, The University of Texas at Austin
  • Daqing He, School of Computing and Information, University of Pittsburgh
  • Robin Hilsabeck, Dell Medical School, The University of Texas at Austin
  • Constance Johnson, Jane and Robert Cizik School of Nursing; School of Biomedical Informatics; UT Health Science Center at Houston
  • Unmil Karadkar, Center for Interdisciplinary Research on Aging & Care, University of Graz, Austria
  • Yijung Kim, Texas Aging & Longevity Center, The University of Texas as Austin
  • Mike Mackert, Stan Richards School of Advertising & Public Relations; Dell Medical School, The University of Texas at Austin
  • Maurice Mulvenna, School of Computing, Ulster University
  • Blaine Reeder, University of Missouri, Columbia
  • Kristina Shiroma, School of Information, The University of Texas at Austin
  • Jing Wang, School of Nursing, UT Health San Antonio
  • Tom Yeh, Department of Computer Science, University of Colorado at Boulder
  • Ning Zou, School of Computing and Information, University of Pittsburgh

For more information about the Conference, contact our team or the Conference Chair:

General inquiries: ahic@utexas.edu

Conference chair: Bo Xie谢波, Ph.D. | Professor
The University of Texas at Austin | School of Nursing; School of Information
boxie@utexas.edu | https://www.ischool.utexas.edu/~boxie/index.html

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Information Processing and Management
Special Issue on Intelligent Technologies for Smart Healthcare Across the Lifespan

Guest Editor

  • Daqing He: University of Pittsburgh, dah44@pitt.edu
  • Bo Xie: The University of Texas at Austin, boxie@utexas.edu
  • Rita Orji: Dalhousie University, rita.orji@dal.ca
  • Khin Than Win: University of Wollongong, win@uow.edu.au

Recent advancements in intelligent technologies combined with wearable devices, internet of things (IoT), and mobile internet introduce rich transformation opportunities for rapid improvements in healthcare processes and outcomes. Examples of intelligent technology include, but are not limited to, machine learning, natural language processing, data mining, artificial intelligence, intelligent voice assistants, user modeling, adaptive systems, smart sensors, and other advanced information technologies. These technologies can be applied to improve the health and wellbeing of individuals and communities across the lifespan, with various health conditions, and at any stage of a health condition.

This Special Issue reports cutting edge interdisciplinary research at the intersection between intelligent technology and healthcare across the lifespan. We expect contributions to this Special Issue to be highly interdisciplinary, featuring collaborations from researchers in computer science/engineering, health sciences, social sciences, and interdisciplinary fields such as information science and data science. We especially encourage submissions illustrating the opportunities and challenges associated with using intelligent technology to care for the health of traditionally underserved groups such as individuals who belong to racial/ethnic minority groups, those with disabilities, and with low incomes.

Potential topics may include but are not limited to are:

  • Intelligent technologies or systems for helping diverse populations, e.g., children, older adults, racial/ethnic minorities, new immigrants, people with limited technology access and literacy;
  • Intelligent technologies for supporting various aspects of healthcare process, including disease prevention and monitoring, diagnosis and treatment, hospital management, and health decision-making;
  • Intelligent technology-based interventions for health education, patient engagement, self-management, patient monitoring, behavior change, and chronic disease management;
  • Perceptions and experiences of diverse populations in adopting intelligent technologies for smart healthcare in professional and home settings;
  • ethical, social, security and privacy issues related to intelligent technologies for smart healthcare.

The guest editors will organize a virtual session at the 2021 Aging and Health Informatics Conference (https://sites.utexas.edu/ahic/) to meet with potential authors for the special issue.

Important Dates

Submissions deadline: January 31, 2022

First-round review decisions: February 28, 2022

Deadline for revision submissions: April 11, 2022

Notification of final decisions: May 16, 2022

Tentative publication: Late 2022

Submission Information

Manuscripts submitted to this Special Issue should be original research papers, and must not be previously published in any form and currently not under consideration in any publication outlet. Authors should prepare their manuscript according to the “Guide for Authors” from the Information Processing & Management (IP&M) journal. To ensure that manuscripts are correctly assigned to this special issue, authors must select the option “VSI: IT4SH”, when reaching the “Article Type Selection / Issue selection” step during submission.

For questions and further information, please contact Daqing He at dah44@pitt.edu.

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