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Article

Collaboration between Government and Research Community to Respond to COVID-19: Israel’s Case

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Data Science Research Center, The University of Haifa, Haifa 3498838, Israel
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Faculty of Law and The Center for Cyber Law & Policy, The University of Haifa, Haifa 3498838, Israel
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Timna-Big Data Platform Unit, Ministry of Health, Jerusalem 9446724, Israel
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The Center for the 4th Industrial Revolution, Israel Innovation Authority, Jerusalem 9695102, Israel
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Master in Design Department, Shenkar College of Engineering and Design, Ramat Gan 5252626, Israel
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Microsoft Research, Herzeliya 4672415, Israel
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Author to whom correspondence should be addressed.
J. Open Innov. Technol. Mark. Complex. 2021, 7(4), 208; https://doi.org/10.3390/joitmc7040208
Received: 30 August 2021 / Revised: 20 September 2021 / Accepted: 21 September 2021 / Published: 1 October 2021
Triggered by the COVID-19 crisis, Israel’s Ministry of Health (MoH) held a virtual datathon based on deidentified governmental data. Organized by a multidisciplinary committee, Israel’s research community was invited to offer insights to help solve COVID-19 policy challenges. The Datathon was designed to develop operationalizable data-driven models to address COVID-19 health policy challenges. Specific relevant challenges were defined and diverse, reliable, up-to-date, deidentified governmental datasets were extracted and tested. Secure remote-access research environments were established. Registration was open to all citizens. Around a third of the applicants were accepted, and they were teamed to balance areas of expertise and represent all sectors of the community. Anonymous surveys for participants and mentors were distributed to assess usefulness and points for improvement and retention for future datathons. The Datathon included 18 multidisciplinary teams, mentored by 20 data scientists, 6 epidemiologists, 5 presentation mentors, and 12 judges. The insights developed by the three winning teams are currently considered by the MoH as potential data science methods relevant for national policies. Based on participants’ feedback, the process for future data-driven regulatory responses for health crises was improved. Participants expressed increased trust in the MoH and readiness to work with the government on these or future projects. View Full-Text
Keywords: COVID-19; hackathon; datathon; evidence-based regulation; innovative regulation; privacy; data; health policy; trust of experts; public confidence; public engagement; public-private interface; open innovation; emergency management COVID-19; hackathon; datathon; evidence-based regulation; innovative regulation; privacy; data; health policy; trust of experts; public confidence; public engagement; public-private interface; open innovation; emergency management
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MDPI and ACS Style

Peleg, M.; Reichman, A.; Shachar, S.; Gadot, T.; Avgil Tsadok, M.; Azaria, M.; Dunkelman, O.; Hassid, S.; Partem, D.; Shmailov, M.; Yom-Tov, E.; Cohen, R. Collaboration between Government and Research Community to Respond to COVID-19: Israel’s Case. J. Open Innov. Technol. Mark. Complex. 2021, 7, 208. https://doi.org/10.3390/joitmc7040208

AMA Style

Peleg M, Reichman A, Shachar S, Gadot T, Avgil Tsadok M, Azaria M, Dunkelman O, Hassid S, Partem D, Shmailov M, Yom-Tov E, Cohen R. Collaboration between Government and Research Community to Respond to COVID-19: Israel’s Case. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7(4):208. https://doi.org/10.3390/joitmc7040208

Chicago/Turabian Style

Peleg, Mor, Amnon Reichman, Sivan Shachar, Tamir Gadot, Meytal Avgil Tsadok, Maya Azaria, Orr Dunkelman, Shiri Hassid, Daniella Partem, Maya Shmailov, Elad Yom-Tov, and Roy Cohen. 2021. "Collaboration between Government and Research Community to Respond to COVID-19: Israel’s Case" Journal of Open Innovation: Technology, Market, and Complexity 7, no. 4: 208. https://doi.org/10.3390/joitmc7040208

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