DSKTHCD-2020: Workshop on Data Science and Knowledge Transfer for 21st Century Health-Care Delivery OFFIS (Institute for Information Technology) Oldenburg, Germany, November 30, 2020 |
| Conference web page | http://stat.cmu.edu/isle/workshops/ichi2020.html |
| Submission link | https://easychair.org/conferences/?conf=dskthcd2020 |
| Submission deadline | September 4, 2020 |
The inaugural “Data Science and Knowledge Transfer for 21st Century Health-Care Delivery” workshop will be part of the Eighth IEEE International Conference on Healthcare Informatics (ICHI 2020). It will take place November 30, 2020 on the first day of the main conference at the OFFIS (Institute for Information Technology) in 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 the updated deadlines.
Submission Guidelines
We cordially invite you to submit an extended abstract for the lightning talk poster presentation at the inaugural workshop.
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.
Extended 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 (following a double-blind review policy) before turning it in via EasyChair.
Committees
| Philipp Burckhardt | Rema Padman |
| pgb@andrew.cmu.edu | rpadman@cmu.edu |
|
Department of Statistics & Data Science
|
Heinz College School of Information Systems Management & School of Public Policy and Management |
| Carnegie Mellon University | Carnegie Mellon University |
| Pittsburgh, PA, USA | Pittsburgh, PA, USA |
Publication
Accepted submissions will be included in the ICHI 2020 conference proceedings and made available via IEEE Xplore.
Contact
All questions about submissions should be emailed to Philipp Burckhardt (pgb@andrew.cmu.edu)
