08:00 |
Pre-welcome / Orientation and Tech Configuration |
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08:15 |
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08:30 |
Workshop chairs Welcome/Intro |
Workshop chairs Welcome/Update |
Workshop chairs Welcome/Update |
Workshop chairs Welcome/Update |
08:45 |
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09:00 |
Russ Schumacher Grand Challenges and Theme |
Susan Jasko Scientific Storytelling: An Introduction |
Skylar Williams Artificial Intelligence/ Machine Learning: Why and When |
Scott Collis Open Data: Opportunities and Challenges |
09:15 |
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09:30 |
Drew Camron Exploratory Data Analysis: Conceptual Introduction |
Kim Klockow-McClain Scientific Storytelling: An Expert Example |
Thomas Martin AI/ML: Foundational Concepts |
Kate Thibault Open Data Best Practices: NEON's Commitment to FAIR Data Principles |
09:45 |
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10:00 |
Break |
Break |
Break |
Break |
10:15 |
Thomas Martin Exploratory Data Analysis: Tabular Data |
Paul Fremeau Working with Data from Multiple Domains |
Charlie Becker AI/ML: Data Challenges |
Max Grover Contributing to Open Data and Open Science |
10:30 |
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10:45 |
Jon Thielen Exploratory Data Analysis: Multidimensional Data |
Andrea Schumacher The intersection of Earth Systems Sciences and Social Science Data |
Jeff Weber, Dennis Dye, Peter Romine Data Ethics and Data Sovereignty |
Mat Gunshor Data Quality |
11:00 |
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11:15 |
Douglas Schuster Data Access and Accessibility Tips and Tricks |
Susan Jasko The Thought Process to a Story: A Primer on the Take-home Story Project |
Nick Lilja Data Visualization in the Private Sector |
Various Coaches Take-Home Project Working Session #4: Open Data, Contributions, and Sharing Stories |
11:30 |
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11:45 |
Lunch |
Lunch |
Lunch |
Lunch |
12:00 |
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12:15 |
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12:30 |
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12:45 |
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13:00 |
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13:15 |
Nicole Corbin Intro to Storytelling and the Take-Home Project |
Multiple Presenters Breakout Sessions on Cross-disciplinary Data and Problem Solving
Group 1 (room 235) Remake the National Weather Service: Kim Klockow-McClain
Group 2 (room 245) Meteorological and Societal Data: A Case Study of an EF4 Tornado Event: Stephen Strader
Group 3 (room 247) Ocean Sciences and Global Climate Modeling: Deepak Cherian |
Multiple Presenters Breakout Sessions on AI/ML
Group 1 (room 235) Beginning Techniques: John Schreck, Thomas Martin
Group 2 (room 245) eXplanable AI Methods: Will Chapman, Kirsten Mayer
Group 3 (room 247) Techniques in Education: Nicoleta Cristea |
Workshop Chairs Take Home Project Sharing |
13:30 |
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13:45 |
Various Coaches Take-Home Project Working Session #1: Digital Storytelling Tools and Exploratory Data Analysis |
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Mike Zuranski and workshop chairs Lessons Learned on Open Reproducible Science and the Challenges that Remain |
14:00 |
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14:15 |
Break |
Break |
Break |
Workshop End |
14:30 |
Various Coaches Take-Home Project Working Session #1: Digital Storytelling Tools and Exploratory Data Analysis (continued) |
Various Coaches Take-Home Project Working Session #2: Story Structure and Interdisciplinary Context |
Various Coaches Take-Home Project Working Session #3: Ethical Data Usage and Analysis |
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14:45 |
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15:00 |
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15:15 |
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15:30 |
Break |
Break |
Break |
Break |
15:45 |
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Mike Zuranski and workshop chairs Wrap-up: Lessons Learned, Reflection, Sharing Challenges |
Mike Zuranski and workshop chairs Wrap-up: Lessons Learned, Reflection, Sharing Challenges |
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16:00 |
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16:15 |
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End for day |
End for day |
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16:30 |
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