Data Science and Knowledge Transfer for
21st Century Health-Care Delivery

IEEE ICHI 2020 Half-Day Workshop, 30 November 2020, Oldenburg, Germany

In light of the current COVID-19 outbreak, the IEEE ICHI 2020 conference has been postponed to a later date. It is now scheduled to take place 30 November - 3 December 2020. See below for updated deadlines.

Call for Submissions:

We cordially invite you to submit an extended abstract for the lightning talk poster presentation at the inaugural workshop “Data Science and Knowledge Transfer for 21st Century Health-Care Delivery”, which is part of the Eighth IEEE International Conference on Healthcare Informatics (ICHI 2020).

The workshop will take place November 30th, 2020 on the first day of the main conference at the OFFIS (Institute for Information Technology) in Oldenburg, Germany.

We welcome inter-disciplinary contributions that tackle questions regarding how information systems can foster on-the-job training of data science concepts and knowledge transfer in the health-care sector, facilitate the exchange of information among clinicians, and support long-term retention and assessment of institutionalized knowledge.

We wish to bring people together to discuss how to bridge the gap between advances in data science and medical practitioners’ knowledge, how to build systems that can systematize informal knowledge sharing in institutions, and how to use data analytics iteratively to improve these systems.

Abstracts are limited to two pages (including references). Accepted submissions will be included in the ICHI 2020 conference proceedings and made available via IEEE Xplore.

Submissions must adhere to the IEEE Proceedings Format available for LaTeX and Word (see detailed instructions) and should be submitted as a single PDF file. Please anonymize your submission before turning it in via EasyChair (double-blind review policy).

Submission Page

Important Dates

Double-blind submissions will be due on the September 4th, with acceptances being sent out by October 2nd.

Program

Workshop Length: 3 hours

  • Workshop Introduction (10min)
  • Open slot for invited paper presentation (15min)
  • Poster Session (5-min long lightning talks; 30min)
  • Coffee Break (30min)
  • Panel Discussion on the Challenges of Data-Driven Public Health in the 21st century (30min)
  • Paper presentation on the lessons learned from developing and using a web-based platform, ISLE, to teach data science topics to a diverse audience (15min)
  • Open slot for invited paper presentation (15min)
  • Open slot for invited paper presentation (15min)
  • Final discussion (20min)

Organizers

Philipp Burckhardt

Postdoctoral Scholar in the Department of Statistics & Data Science and principal developer of the Integrated Statistics Learning Environment (ISLE)


pgb@andrew.cmu.edu

Rema Padman

Professor of Management Science and Healthcare Informatics at the Heinz College’s School of Information Systems Management and School of Public Policy and Management

rpadman@cmu.edu