2024 AI-CLIMATE Annual Review Meeting

May 5-7, 2024 | University of Minnesota

Event Hosts - NIFA/NSF National AI Research Institute for Climate-Land Interactions, Mitigation, Adaptation, Tradeoffs and Economy (AI-CLIMATE)

 

NIFA/NSF National AI Research Institute for Climate-Land Interactions, Mitigation, Adaptation, Tradeoffs and Economy (AI-CLIMATE)

Thank you to everyone who joined us for the 1st AI-CLIMATE Institute Annual Meeting May 6-7, 2024 to hear from researchers on progress in advancing artificial intelligence (AI) with climate-smart agriculture and forestry. Scroll down for links to the Day 1 and Day 2 Video Recordings.
 
Photo Gallery
 
If you are interested in downloading any of the pictures or have questions, please email Angela Walsh at ai-climate@umn.edu. 
 
 
PDF of Agenda
Agenda

Sunday, May 5

6:00 PM Networking Dinner at the Campus Club, UMN Mpls Campus
For those planning to join us for dinner, please meet AI-CLIMATE staff in the lobby of the Graduate Hotel at 5:30PM and we will walk over to the Campus Club together.

Monday, May 6

  • 8:00 AM Continental Breakfast
  • 9:00 AM Welcome to AI-CLIMATE Institute
    • AI-CLIMATE Welcome – Shawn Haag, University of Minnesota
    • UMN RIO Welcome – Shashank Priya, Vice President for Research and Innovation, University of Minnesota
    • Dean’s Welcome – Joseph Konstan, College of Science and Engineering, University of Minnesota
  • 9:15 AM Director’s Overview
    • Shashi Shekhar, University of Minnesota
    • David Mulla, University of Minnesota
  • 10:00 AM Research Theme and Vignette Overviews & Highlights
    • Knowledge-Guided Machine Learning (Theme 1, Vignette 1)
      • Pre-recorded comments: Vipin Kumar
      • Zhenong Jin, Dominic Woolf, Yiqi Luo, Stephen Ogle, and Keith Paustian
    • Climate risks, adaptation (Vignette 2)
      • Chad Babcock, Raju Vatsavai, Nathan Mueller, John Zobel, Vipin Kumar, and Yao-Yi Chiang
  • 10:45 AM Break
  • 11:00 AM Research Theme and Vignette Overviews & Highlights
    • AI-Aided Multi-Objective Decision Making (Theme 4, Vignette 4)
      • Justin Johnson, Carla Gomes, and Mingyi Hong
    • Multi-Scale, Multi-Criteria DSS for GHG and Ecosystem Services (Vignette 5, Theme 5)
      • Keith Paustian, David Mulla, and Shrideep Pallickara
    • Tool Demonstrations
      • COMET FARM, Collaborative GeoDesign, SoilsRevealed, aQua
  • 12:00 PM Lunch
  • 1:00 PM Stakeholder Engagement, Extension Outreach, Education & Workforce Development
    • Allison Chatrchyan and Candace Hulbert
    • Bruce Erickson, Gulnihal Ozbay, and Rose Ogutu
    • Maria Gini and Natalie Hunt
    • Emma Eckley and Patrick Keys
  • 2:00 PM 
    • Climate-Smart Commodity Project Updates
      • David Mulla and Shawn Haag
    • Synergizing AI and Climate: Co-Creating a Collaboration Nexus
      • Jim Wilgenbusch and Phillip Pardey
  • 2:45 PM Break
  • 3:00 PM Student Lightning Presentations
    • Theresa Chen, University of Minnesota, Overview of Student Club
    • Licheng Liu, University of Minnesota, global KGML-ag
    • Ruolei Zeng, University of Minnesota, local KGML-ag
    • Praveen Ravirathinam, Colorado State University, Inverse Crop Modeling
    • Haodi Xu and Joshua Fan, Cornell University, BINN
    • Paahuni Khandelwal, Colorado State University, DeepSoil
    • Marc Grimson, Cornell University, Pareto Optimization
    • Shelby McClelland, Cornell University
    • Lee Dunnigan, Cornell University
    • Kostia Viatkn, Cornell University
  • 3:30 PM Student Poster Session
  • 4:30 PM Evaluation & Assessment
    • Emily Goff, Goff & Associates
  • 4:45 PM Informal Feedback from Sponsors
    • Steven Thomson, USDA-NIFA and Erion Plaku, NSF
  • 6:00 PM Dinner at The Market at Malcolm Yards, Minneapolis

Tuesday, May 7 (Day 2 Video Recording)

  • 8:00 AM Continental Breakfast
  • 8:15 AM Welcome to AI-CLIMATE Institute
    • Shawn Haag, Executive Director, University of Minnesota
  • 8:30 AM Challenges and Opportunities for AI-Guided Climate Smart Agriculture and Forestry Panel Discussion
    • Ariel Kagan, Minnesota Farmers Union
    • Ali Fares, Prairie View A&M University
    • Rose Ogutu, Delaware State University
    • Carolyn Olson, Farmer/Minnesota Farmer Bureau
    • Paul Hishmeh, Field to Market
    • Brian Huberty, Minnesota Forestry
  • 9:30 AM What We Have Learned and Emerging Ideas for Collaboration Breakout Discussion
    • Facilitated by Emily Goff, Goff Group Evaluation
  • 10:30 AM Break
  • 11:00 AM Cross-Cutting Team Science Breakout Discussion
    • Facilitated by Johannes Lehmann and Candace Hulbert, Cornell University
  • 12:00 PM Lunch & Final Remarks
  • 1:00 PM Lab Walking Tour + Demonstrations 
    • Forever Green [Mitch Hunter]
    • GHG Emissions Field Study [Rod Venterea]
    • Biometeorology Lab [Tim Griffis]
  • 2:30 PM Travel to Minneapolis Campus
  • 3:00 PM Lab Walking Tour + Demonstrations
    • Minnesota Robotics Institute and CS&E [Nikos Papanikolopoulos]
    • Minnesota Supercomputing Institute Tour [Jim Wilgenbusch]
       
Posters

click the image below for a closer look

Knowledge-Guided Machine Learning Improved Carbon Quantifications in Agroecosystem
From KGML-Ag to KGML-PrecisionAg
Contact Information

If there are any urgent event issues, please feel free to contact any of the following leadership staff. Text is probably best:
Shawn Haag, Primary 612-423-4502
Angela Walsh, Secondary 612-867-8079

Locations

To get to campus from the MSP International Airport, take the Metro Transit Light-rail Blue Line to the US Bank Stadium Station, transfer to the Green Line, depart at the East Bank Station. Other options include Uber/Lyft or taxi or rental vehicle.

HOW TO GET TO AND AROUND CAMPUS
The AI-CLIMATE Annual Meeting will be held at the Cargill Building on the University of Minnesota St. Paul campus. Lorenz Bus Services will provide transportation to/from the Graduate Hotel to the Cargill Building on Monday, May 6th and Tuesday, May 7th.

Interactive Minneapolis-St. Paul Campus Map

On-campus parking is available for $12/day at the following ramps:

  • Washington Ave Ramp at 501 Washington Ave SE, Minneapolis, MN 55455
  • University Ave Ramp at 1926 University Ave SE, Minneapolis, MN 55455
  • Fourth Street Ramp at 1625 4th St SE, Minneapolis, MN 55455
Graduate Minneapolis Hotel (615 Washington Ave SE, Minneapolis, MN 55414)

Lorenz Bus Services will provide transportation to/from the Graduate Hotel to the Cargill Building on Monday, May 6th and Tuesday, May 7th.

Cargill Building (1500 Gortner Ave St. Paul, MN 55108)
The AI-CLIMATE Annual Meeting will be held in the Cargill Building, Room 100.

Campus Club, 300 Washington Ave SE 4th Floor, Minneapolis, MN 55455
Sunday night. Within walking distance of the Graduate Minneapolis Hotel

The Market at Malcum Yards, 501 30th Ave SE, Minneapolis, MN 55414. 
Light Rail directions from The Graduate Hotel: Get on the Light Rail the East Bank stop (1 minute walk from the hotel). Take the train 2 stops East toward the St. Paul Union Depot. Get off at Prospect Park. Walk 3 minutes to The Market at Malcolm Yards.  

Onsite Information

If you have any event or dietary accommodation requests, please contact Angela Walsh at ai-climate@umn.edu.

EVENT MENU:
Event catering will feature various menu themes. All hosted meals will provide vegetarian, vegan, dairy-free, and gluten-free options.

ATTIRE & WEATHER
Minneapolis-St. Paul currently is in the 60’s with sunny weather forecasted. The lab tour requires walking several blocks across campus. Additionally, for the lab tour, no open toed shoes (required by labs).

INTERNET ACCESS

  • Cargill Building offers complimentary Wi-Fi throughout the building.
  • UofM-Guest. Where available, guests on campus may use the UofM-Guest network at no charge.
  • Academic visitors from institutions that participate in the eduroam network may sign-in by using the full email
    address and affiliated password to login to eduroam.

ATTENDEES / AUDIENCE

  • NIFA/NSF SVT: NIFA/NSF Site Visit Team
  • AI-CLIMATE leadership team: Institute director, deputy directors, executive director, thrust leads, evaluation
    director, and all administrative and programmatic staff. Others as identified.
  • AI-CLIMATE personnel: all faculty, staff, research staff, graduate students, post docs, technicians, fellows
  • AI-CLIMATE Partners: Industry, innovation, government, and non-profit partners and members

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