AI2ES Talks


Talks to all of AI2ES, from both AI2ES speakers and outside speakers

2022

  • July 20: TAMU-CC REU student presentations
    • AI predictions of cold stunning events: new architecture, new locations (assisted by AI2ES PhD student Miranda White)
    • AI predictions of water levels: new architecture, new predictors (assisted by AI2ES PhD student Marina Vicens Miquel)
  • June 22: OU REU and NCAR SIParCS 5-minute talks. Recording
    • Vincent Ferrera, OU REU Slides; Justin Willson, NCAR SIParCS Slides; Alex Nozka, OU REU Slides; Chris Cepin, OU REU Slides; Kayla Hoffman, OU REU Slides; Eliot Kim, NCAR SIParCS Slides; Noah Lang, OU REU, Slides
  • June 8: Relational trust in human-agent teaming – Erin Chiou, Arizona State University. Recording
  • May 25: Prerequisites, Causes, and Goals of Human Trust in AI – Ana Marasović, Allen Institute for AI. FAccT2020 paper. Recording
  • May 11: AI2ES Postdoc Research Review (2 of 2). Recording
    • Insights and progress across the development loop – Mariana Cains, NCAR. Slides
    • Highlighting ‘depth’ of risk comm work – Christopher Wirz, NCAR. Slides
    • SpatioTemporal Modeling from Multispectral Satellite Data using Deep Learning – Akansha Singh Bansal, CIRA/CSU. Slides
    • Assessing the fidelity of eXplainable Artificial Intelligence (XAI) methods using benchmark datasets – Antonios Mamalakis, CSU. Slides
    • Ocean reanalysis data-driven machine learning prediction of Loop Current eddy movements in the Gulf of Mexico – Anna Lowe, NCSU. Slides
    • Self Introduction – Vanessa Przybylo, UAlbany. Slides
  • April 27: Defining Core Concepts & Key Terms for AI2ES – Monte Flora, NOAA; Ann Bostrom, UW; Dimitris Diochnos and  Amy McGovern, OU; Mariana Cains, NCAR. Recording; Slides
  • April 13: AI2ES Postdoc Research Review (1 of 2). Recording
    • Chase AI2ES Research Activities – Randy Chase, OU. Slides
    • AI2ES Postdoc Research Reviews – Lauriana Gaudet, UAlbany. Slides
    • Severe Weather, Explainability, and Python – Monte Flora, NOAA. Slides
    • AI2ES Postdoc Introduction – Marie McGraw, CSU. Slides
  • March 30: Trustworthy Machine Learning – Kush Varshney, IBM Research. Recording
  • March 2: Considerations in Designing and Evaluation of ‘Intelligent’ Decision Aids – Emilie Roth, Roth Cognitive Engineering. Recording 
  • February 16: Probabilistic Assessment and Decisions – John Williams, IBM; Philippe Tissot, TAMU-CC; Brian Colburn, TAMU-CC. Recording
  • February 2: Climate Research at PARC – Kalai Ramea, PARC; Recording (the primary presentation starts at the 14 minute mark)
  • January 19: Introduction to Collaborative Coding – David John Gagne and Charlie Becker, NCAR; Antonio Medrano, TAMU-CC; Kevin Tyle, UAlbany. Presentation Slides; Recording

2021

2020

Other Talks

2021

  • July 22-23: AI2ES Research Experiences for Undergraduates – final 12-minute presentations. 7/22 Recording; 7/23 Recording
  • June 28: Explainable AI for Environmental Science: Insights on strengths and weaknesses of different neural network attribution maps – Antonios Mamalakis, CSU. Presentation Slides; Recording