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Next Talk - TIES Webinar Series on Data Science for Environmental Sciences (DSES)

  • 1.  Next Talk - TIES Webinar Series on Data Science for Environmental Sciences (DSES)

    Posted 4 days ago
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    The International Environmetrics Society (TIES) has launched the TIES Webinar Series on Data Science for Environmental Sciences (DSES)

    Our next webinar will be on March 31, at 9 am Central Time (attached flyer).
    You can virtually access the webinar and register via our website:

    Speaker: Claire Monteleoni, Choose France Chair in AI & Research Director (INRIA Paris) and Associate Professor (University of Colorado Boulder)  

    Title: Machine Learning for Climate Change and Environmental Sustainability  

    Abstract: Despite the scientific consensus on climate change, drastic uncertainties remain. Crucial questions about regional climate trends, changes in extreme events, such as heat waves and mega-storms, and understanding how climate varied in the distant past, must be answered in order to improve predictions, assess impacts and vulnerability, and inform mitigation and sustainable adaptation strategies. Machine learning can help answer such questions and shed light on climate change. I will give an overview of our climate informatics research, focusing on challenges in learning from spatiotemporal data, along with semi- and unsupervised deep learning approaches to studying rare and extreme events, and precipitation and temperature downscaling. 

    Bio: Claire Monteleoni is Choose France Chair in AI and Directrice de Recherche at INRIA Paris, an Associate Professor in the Department of Computer Science at the University of Colorado Boulder, and the founding Editor in Chief of Environmental Data Science, a Cambridge University Press journal, launched in December 2020. She joined INRIA in 2023 and has previously held positions at University of Paris-Saclay, CNRS, George Washington University, and Columbia University. She completed her PhD and Masters in Computer Science at MIT and was a postdoc at UC San Diego. She holds a Bachelor's in Earth and Planetary Sciences from Harvard. Her research on machine learning for the study of climate change helped launch the interdisciplinary field of Climate Informatics. She co-founded the International Conference on Climate Informatics, which turns 12 years old in 2023, and has attracted climate scientists and data scientists from over 20 countries and 30 U.S. states. She gave an invited tutorial: Climate Change: Challenges for Machine Learning, at NeurIPS 2014. She currently serves on the NSF Advisory Committee for Environmental Research and Education.  

    Hope to see you all there!  

    Ignacio Segovia-Dominguez,
    On behalf of the TIES Webinar Series' organizing committee

    Ignacio Segovia-Dominguez