Conference Registration

Don't forget to click SUBMIT before leaving this page or your information will be lost.

For more information or questions, contact Ash Carlson, acarlson2@carleton.edu.

Participant Information
Email Address:
* required
Confirm Email Address:
* required
Note: Your email address is what we use to track your registration and participation in the event. Be sure to use the same email address in all forms relating to your event participation. This email will also be our primary means of communication with you.

First Name:
* required
Last Name:
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Institution:

Department:

Participation Options

There are two distinct participation options for this conference.

Select a participation option:

Full participation option:
Engage with your peers in interest-based topical working group sessions during the week of Feb 8-12. Access to all the union sessions Feb 17-18

Union-session only option:
Access to all the union sessions (Speakers, Panels, Online Posters, Share Fair) Feb 17-18

Registrants who select the Full Participation option will be notified by January 1st if they have been selected to participate in working group sessions which have limited space. Those not selected for the working groups will be able to attend as Union-session participants.

Registration Details for Full Participants Only

Topical Discussion Areas

Please rank the discussion topics listed below in terms of your interest in engaging and contributing to a related community discussion. Your choices will inform the focus areas for working groups as well as working group assignments. Many of these categories intentionally address overlapping (and in some cases nested) ideas.

Pedagogy and assignments: How might we modify our teaching approaches and assignment structures for a world where AI is available? Does it involve instructors or students using AI?
Curricula and Majors: Generative AI is impacting the professional practices in our disciplines. New skills are becoming important as old ones become less relevant. How should our courses and majors adapt? What needs to be added? What can be let go? What is most important to retain?
Promoting Student Agency in Learning: As what we previously considered 'cheating' becomes trivially easy, how do we encourage students to take ownership of their learning, not just assignment completion? What does fostering a learning culture and student agency look like in the contexts of policy, assessment, and pedagogy.
Disciplinary Culture: The disciplinary cultures across Earth education include practices like place-based learning and fieldwork. How can the unique properties of our fields counterbalance AI's potential negative influences on learning?
New Tools that Support Learning: Generative AI lowers the barrier to creating tools to support our students' learning. How can we take advantage of this to get our students into authentic exploration faster: diving into data and asking deeper questions?
AI-impacted research practices and the undergraduate classroom. Machine learning and related techniques are becoming important new disciplinary research tools. How should these approaches be reflected in our courses?
A Geo-informed perspective on the impact of AI: AI growth has raised sustainability issues around energy, water, land use, and community impact. How can our science inform the ongoing debate, and how can we bring this to our classrooms?

What discussions would you like to contribute to? Please choose at least your top three. More than that is optional.

Your 1st choice

Your 2nd choice

Your 3rd choice

Your 4th choice

Your 5th choice

Other Topics The list above is not the final set of working group topics. We will look at all the information gathered from participants before deciding on final topics. If there is an additional topic you feel should be part of these discussions, or a particular outcome you think is important please describe it here.

Your Teaching and AI EngagementYour current position (e.g. Associate Professor, Postdoc....)

Please list the titles of the courses you typically teach. This need not be a complete list but should convey the breadth of your teaching.

Optionally, describe any AI-related work you've done that you feel will inform your participation in this conference. For example, participating in local AI efforts on your campus. This should complement, and not duplicate, a more detailed description of one or more specific AI experiences (things you've tried) that should be contributed through a separate form.

Expectation of Engagement

Full participants are expected to engage fully in the working group process. This includes:

Submitting one or more AI experiences through this online form by December 13. These public contributions will serve as a foundational resource for the working groups, and assist us in selecting working group participants.
Engaging with the provided pre-conference readings so that you can arrive at the working group sessions prepared for productive discussion.
Attending and contributing actively to three 2-hour online working group meetings during the week of February 8-12. These will be intensive small group sessions working to produce a synthesis of our communities' best thinking on the topic.

The synthesis products will be published as open-access documents with DOI's and attribution given directly to the working group members.

By submitting this registration and having selected the full participation option, I agree to this level of engagement.

Programmatic AccommodationsThe workshop conveners are committed to providing universal access to our programming and supporting accommodation requests to the best of our ability. Please check the box below if you would like a member of the staff to follow up with you to assist with accommodations that support your needs. Advance notice is necessary to arrange accommodations.

Please have a staff member follow up with me.

Conference Product Release

In submitting my registration for this conference, I agree that any audio recording or images (still or video) made of me during the event may be used on the project website, in printed project publications, and in materials developed by the project. I further agree that my contributions to creative works that emerge from conference activities (e.g., working group discussions) may be used by the projects, PIs, and conveners for development of future project materials, for scholarly reports, and for promotion of the workshop series. Attribution for original contributions will be made whenever possible.

Participants who submit materials through the conference website (e.g. descriptions of AI experiences, posters) retain their copyright and agree to allow redistribution under a Creative Commons license.

Code of Conduct

The funding agency and participating institutions are committed to maintaining a community where all individuals who participate can work and learn together in an atmosphere free of harassment, exploitation, or intimidation. For full information including independent monitors to report occurrences or concerns see the Code of Conduct. (opens in a new window)

I have read the provided Code of Conduct. * required

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