AI2ES Talks

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

Site-wide Talks

2023

  • May 10: Title TBD – Rich Caruana (Microsoft)
  • April 26: Title TBD – Melanie Tory (Northeastern)
  • April 12: Google Africa – Jason Hickey (Google)
  • March 29: 
    • Grid-Based Hail Nowcasting using UNets and WoFS NWP – Tobias Schmidt (OU)
    • Using Deep Learning to Improve the NSSL’s Warn-On-Forecast System (WoFS) Forecast of Thunderstorm Location – Chad Wiley (OU)
  • March 1: Recording
    • Comparative Visibility Estimation from New York State Mesonet Camera Images Using Deep Learning – Mel Wilson Reyes (OU) Slides
    • Synthetic Benchmarks to Study the Influence of Correlated Values on XAI for Geoscience – Evan Krell (TAMU-CC) Slides
  • February 15: Recording
    • Machine learning estimation of storm updrafts – Randy Chase (OU) Slides
    • Detecting the Presence of Precipitation in New York State Mesonet Imagery at Night using Convolutional Neural Networks – Vanessa Przyblyo (UAlbany) Slides
  • February 1: AtmoRep: Large Scale Representation Learning of Atmospheric Dynamics – Christian Lessig (Otto von Guericke University Magdeburg). Slides, Recording
  • January 18: AI in NOAA from workforce proficiency and training to new applications for tropical cyclones – Chris Slocum (NOAA). Slides, Recording

2022

  • December 7: A universal mechanism for long-term instabilities in deep learning-based digital twins for geophysical turbulence: Building seamless data-driven climate models – Ashesh Chattopadhyay (PARC). Recording
  • November 9: Human-Centered AI: Ensuring Human Control, Enhancing Human Performance – Ben Shneiderman (University of Maryland). Slides, Recording
  • October 26: Maximizing the Utility of High-Resolution Ensembles for Heavy Snowfall Forecasts – Jacob Radford (NOAA/CIRA). Recording
  • September 28: AI2ES Year 2 Research Highlights and Review summary – Amy McGovern (OU), Elizabeth Barnes (CSU), Philippe Tissot (TAMU-CC), Christopher Wirz (NCAR), Ruoying He (NCSU), Kara Sulia (UAlbany), Mariana Cains (NCAR), Phillip Davis (DMC). Recording
  • September 14: Trust and Perception of an AI System – Brian Stanton (NIST). Recording
  • August 31: Explainable Wildfire Risk Model – Gabrielle Nyirjesy (IBM intern). Recording
  • August 3: ML-ready Data – Douglas Rao (NOAA). Slides, Recording
  • July 20: TAMU-CC REU student presentations. Recording
    • Introduction to Coding Camp – Dara Betz and Korinne Caruso (DMC)
    • VAE predictions of coastal fog – Brian Colburn (TAMU-CC). Slides
    • Comparison of AI methods for cold stunning predictions – Christian Duff (TAMU-CC) and Jarrett Woodall (Heidelberg University). Slides
    • Comparison of AI methods for water level predictions – Ashley Marines (DMC/TAMU-CC) and Dante Ramirez (Texas Tech). Slides
    • Internship at NRL Monterrey – Beto Estrada (TAMU-CC). Recording
  • 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