Workshop Schedule at a Glance

The following is a schedule of the workshop activities.

Visit the Session Listing for more information on individual sessions.

Click on the links for individual sessions to open a Google Drive folder with any materials associated with the session.

Monday June 5
Grand Challenges and Storytelling
Tuesday June 6
Multidisciplinary Data
Wednesday June 7
AI/ML and Ethical Data Solutions Relevant to Society (When, Why, How, and Implications)
Thursday June 8
Open, Reproducible Science
08:00 Pre-welcome / Orientation and Tech Configuration
08:15
08:30
Workshop chairs
Welcome/Intro
Workshop chairs
Welcome/Update
Workshop chairs
Welcome/Update
Workshop chairs
Welcome/Update
08:45
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
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
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
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
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
11:45 Lunch Lunch Lunch Lunch
12:00
12:15
12:30
12:45
13:00
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
13:45
Various Coaches
Take-Home Project Working Session #1: Digital Storytelling Tools and Exploratory Data Analysis
Mike Zuranski and workshop chairs
Lessons Learned on Open Reproducible Science and the Challenges that Remain
14:00
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
14:45
15:00
15:15
15:30 Break Break Break Break
15:45
Poster Session
(Aspen Rooms)
Mike Zuranski and workshop chairs
Wrap-up: Lessons Learned, Reflection, Sharing Challenges
Mike Zuranski and workshop chairs
Wrap-up: Lessons Learned, Reflection, Sharing Challenges
16:00
16:15
End for day
End for day
16:30