CEDAR email: An uncommon AGU event for the CEDAR community

[Ryan McGranaghan (he/him)]

Good day

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
<https://agu.confex.com/agu/fm22/meetingapp.cgi/Session/160558> 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 <https://www.cos.io/> and the National Academy of Sciences
<https://nap.nationalacademies.org/catalog/25116/open-science-by-design-realizing-a-vision-for-21st-century>)
and now there are exciting new initiatives like NASA’s Transformation to
Open Science
<https://science.nasa.gov/open-science/transform-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 <https://agu.confex.com/agu/fm22/meetingapp.cgi/Session/160558>)
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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