EcoViz+AI

A community of practice to discuss and democratize AI and Visualization for use cases in Ecology

Inaugurated March 25-29, 2024 at UC San Diego

Organized by Jessica Kendall-Bar

Important Links

💬 Slack Channel

Roles & Expectations (1)

Workshop Agenda (1)

Meet the Team: EcoViz+AI Field Guide (1)

👥 Collaborative FigJam Board (link to come)

• What: an in-person workshop to develop 5 use-cases for AI in Science within Ecology.
  • Primary deliverables:
    • 2 Publications:
      • A highly citable research paper on 5 use cases in Ecology with participants as co-authors (Methods in Ecology & Evolution)
        • Proposed authors list/order: Kendall-Bar, JM, Czapanskiy, M, Payne, AR, … Altintas, I.
      • A perspective paper on the availability and need for tools for Visualization and AI in Ecology with participants as co-authors (Methods in Ecology & Evolution)
        • Proposed authors list/order: Kendall-Bar, JM, Czapanskiy, M, Payne, AR, … Altintas, I.
    • Website to host all 5 tutorials
      • Video introductions to each case study
      • Markdown tutorials for each dataset and AI model
    • Community of practice
      • Listserv & Slack (Slack Channel) to connect scientists from the workshop for ongoing collaboration
• Who: invited experts in visualization, AI, and Ecology
  • Read more about your Roles & Expectations
• When: UC Spring Break, March 25-29th, 2024 (dinner on Monday + workshop Tuesday-Friday)
  • Monday: Travel day and Opening Dinner (required)
    • Objective: Get to know each other and their fields of interest, build rapport and trust from which to begin the work.
  • Tuesday: Day 1- Introductions and planning.
    • Objective: Understand the data and the AI models being used; set a technical foundation for collaboration and synthesis.
  • Wednesday: Day 2- Model development (data wrangling and code refinement).
    • Objective: Modify AI models to another use case to demonstrate generalizability; document changes, opportunities, challenges, and limitations.
  • Thursday: Day 3- Immersive visualization for model refinement.
    • Objective: Create, identify, and annotate visualizations that assist analysis and communication. Build science communication materials to explain use of AI models.
  • Friday: Day 4- Writing, synthesis, and reflections.
    • Objective: Unify and synthesize work performed during the workshop, reflect on process, opportunities, challenges, and next steps.
• Why:
  • Democratize access to AI, visualization, and computation in Ecology - empowering scientists to leverage new tools
  • To create clear, explainable, FAIR examples of AI-integration in Ecology.
• Where:
  • UC San Diego: Scripps Institution of Oceanography and San Diego Supercomputer Center (SDSC)

Register here: https://forms.gle/LWcERJBDy6N84Kg77

Workshop Calendar (1)