[SocBiN] The 7th RIKEN-KI-SciLifeLab Symposium: Biomedical Data for Artificial Intelligence

[Carsten Daub]

Dear colleagues,

We are happy to announce that The 7th RIKEN-KI-SciLifeLab Symposium: Biomedical Data for Artificial Intelligence will be held  online on November 2, 2020, 9-11 Stockholm time (17-19 JST). The overall goals of this symposium series is to identify common scientific interests and to promote exchange and collaboration between RIKEN, SciLifeLab and KI.

We kindly encourage everyone interested to register to the event. For details please refer to information below:

Title:  The 7th RIKEN-KI-SciLifeLab Symposium: Biomedical Data for Artificial Intelligence ~ The role of AI in the future direction of Life Science research~

Date:    Monday, November 2, 2020, 9-11 Stockholm time (17-19 JST)

Place:    Online Zoom

Web SciLifeLab: https://www.scilifelab.se/event/the-7th-riken-ki-scilifelab-symposium-biomedical-data-for-artificial-intelligence
Web RIKEN: https://www.ims.riken.jp/events/RIKEN-KI-SciLifeLab_Sympo/
Registration: https://www.lyyti.in/RIKEN_KI_SciLifeLab_Symposium

Organizers:
Erik Arner (RIKEN IMS)
Magnus Boman (KTH Royal Institute of Technology, Sweden)
Carsten Daub (KI, SciLifeLab, RIKEN IMS)

Agenda:
• [5 min] Introduction to the topic and challenge addressed by this event
• Erik Arner (RIKEN), Carsten Daub (KI and SciLifeLab)
• [15 min] Welcome notes by Directors
• Anders Gustafsson (Vice President of Karolinska Institutet)
• Kazuhiko Yamamoto (Center Director of RIKEN IMS)
• Olli Kallioniemi (Director of SciLifeLab)
• [30 min] Keynote presentation: What renders AI specific in medicine and healthcare?
• Sabine Koch (Professor of Health Informatics at Karolinska Institutet)
• [15 min] Key conclusions from the 2019 Joint RIKEN-KI-SciLifeLab Symposium including White Paper
• Magnus Boman (Professor in Intelligent Software Systems, KTH)
• [20 min] Young researchers from RIKEN/ KI/ SciLifeLab present challenges and opportunities at the respective sites
• Rebecka Skarstam (KI)
• Masaru Koido (RIKEN)
• [25 min] Ongoing AI initiatives at SciLifeLab, RIKEN, and KI
• Kazuhiro Sakurada (RIKEN MIH)
• Jun Seita (RIKEN MIH)
• Sabine Koch (KI)
• Carolina Wählby (Uppsala University)
• Daniel Gillblad (Sweden.ai)
• [10 min] Lessons learned from the Symposium, and ideas for the 2021 Symposium
• Carl Johan Sundberg (KI)
• Piero Carninci (RIKEN)

We are looking forward to your participation!

[cid:EAEA58FA-1DD2-4BB7-BD60-1E53EEE8297A at bionut.ki.se]



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