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TIV’s Vice President of Emerging Technologies and Intellectual Property is Invited to Participate in Organization for Economic Co-operation and Development (OECD) Workshop on Science and Technology Policy Towards Combatting COVID-19

OECD mini inputs on corona data

TIV’s Vice President of Emerging Technologies and Intellectual Property is Invited to Participate in Organization for Economic Co-operation and Development (OECD) Workshop on Science and Technology Policy Towards Combatting COVID-19.

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In response to COVID-19, the Organization for Economic Co-operation and Development (OECD) called on the world’s top scientists and technology thought leaders to provide feedback on how science policies can assist in overcoming the pandemic. As part of a select group of individuals queried, Dr. Stankovic, Vice President of Emerging Technologies and Intellectual Property at TIV, provided crucial input as part of an exclusive virtual workshop. The digital event spanned multiple days of panels and in-depth technological lectures, in addition to the marquee event, a Science, Technology and Innovation (STI) Outlook Science and Innovation Debate. The combinatorial efforts and insights were ultimately distilled in a brief prepared by contributors including TIV’s Dr. Stankovic, university professors, and ranking members of governmental bodies, such as: the National Academies of Sciences, the French Ministry of Higher Education and NISTEP Japan.

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A sample of the key messages produced in the brief draft are as follows:

  • Data Sharing and Collaborative Research have reached unprecedented levels during the COVID-19 outbreak, allowing research to make swift progress

  • Outstanding issues include lack of coordination and interoperability, as well as data quality and interpretation.

  • Going forward, policy makers need to ensure multiple standards including adequate data governance models, sustainable data sharing agreement involved the public sector, private sector and civil society, and more.


Adequate data governance models produced from the sharing of research data and related algorithms is of utmost importance to ensure responsiveness and resilience of open science policy.

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