Open Science in the Era of AI

Brian Leung and Monika Bauer of the Belmont Forum and IIASA (International Institute for Applied Systems Analysis), respectively, convened a virtual session at the Science Summit at the 78th UN General Assembly: Developing Equitable Partnerships for Open Science and Innovation in the ERA of AI. 

Joining them was a panel comprising representatives from every continent aimed to foster a collective understanding of the barriers and opportunities to develop a framework to equitably address SDG 17 to support inclusive, equitable partnerships to pursue Open Science, as defined by UNESCO.

Panelists: Edwin Castellanos (InterAmerican Institute for Global Change Research), Alice Pannier (Institut français des relations internationales), Miho Kamei (Institute for Global Environmental Strategies), Max Henderson (Data Stream Insurance)

The conveners and panelists have captured their discussion and we encourage you to read it in its entirety here. A summary follows.

Future programs are recommended to include equitable partnership principles as an integral core of its mission, vision, and programmatic strategy. 

  1. Governments and international organizations should include coordination programming that promotes open knowledge storage and dissemination in multiple languages. 
  2. Developing any new local, regional, or national initiative, one should include as many stakeholders as possible to make the process inclusive and transparent. 
  3. Private, public, and civil society incentives should promote open science through their policies, such as funding initiatives and programs should be standardized with an open science requirement. 
  4. Indigenous knowledge systems must be protected and developed with the community; it develops through time without the help of any external force.
  5. Standardize Open Platforms for all Government Funded projects through coordination programs.
  6. Open science and data literacy programs should be a standard, not an afterthought to make accessibility a priority not an afterthought.
  7. Publication impact metrics should measure the degree of change the science has on the societal community, not based solely on citations within the academic community.

The session is also available for you to watch: