An uncommon AGU 2022 event for the Open Science community

[rmcgranaghan]

Good day Open Scientists

We hope this email finds you well, all things considered, and enjoying the Fall/Winter transition.

Please join us for an unexampled Town Hall event to be held at the very outset of the American Geophysical Union Fall Meeting (Monday November 12 from 6:30-7:30 PM CT) online and virtually everywhere: “Data and Open Science for Capable Communities and Scientific Discovery.”

For scientific communities to embrace and robustly and responsibly practice data science, including AI/ML, they require transdisciplinary communities of practice (CoP). We will explore developing, maintaining, and amplifying these CoPs by hearing from frontier thinkers that across different contexts (e.g., different science domains, different sectors of society).

Please join us to help cultivate a rich discussion, learn from thought-leaders, and broaden your own network. More details are below.

Warm Regards,

Ryan McGranaghan on behalf of

The NASA Center for HelioAnalytics (Chris Bard, John Dorelli, Michael Kirk, Ayris Narock, and Barbara Thompson); and in cooperation with an entire network of data and open science communities.

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In many ways, open science is defining the future of Earth and Space Science (indeed much more broadly, science and knowledge creation). Many places have pioneered these conversations for years (e.g., the Center for Open Science and the National Academy of Sciences) and now there are exciting new initiatives like NASA’s Transformation to Open Science.

Open science raises important questions for all fields of inquiry. We will use a premier platform during the largest annual gathering of Earth and Space Scientists, the American Geophysical Union Fall Meeting, to hold a discussion around one of the central ideas: for scientific communities to embrace and robustly and responsibly practice data science, including AI/ML, they require transdisciplinary communities of practice.

We are planning a town hall event to be held at the very outset of the conference (Data and Open Science for Capable Communities and Scientific Discovery) that will consist of a panel and community exchange to discuss the technical and cultural challenges to using data science robustly and responsibly for scientific discovery.

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