WORKING GROUPS

  •    Geoscience Case Studies and Benchmarks

    Case Studies, Feature Detection and discovery. All data with a story that includes question and validation as GEO-driven case studies for IS researchers. Benchmark datasets serve as summary descriptions of problem areas, providing a simple interface between disciplines without requiring extensive background knowledge. Each benchmark consists of a data set, along with a document that provides a quick introduction to the topic, provides a wishlist of analysis tasks and a quick interface (e.g. in Matlab or Python) to load and visualize the data.

  •    Education

    Gathering, organizing and collecting all the materials from the different IS-GEO courses.

  •    Modeling

    Aims to design a repository of geoscience models, with semantic descriptions of their characteristics using ontologies. The group will also discuss how this repository would be used by scientists to find and compare models based on variables, assumptions, and functions.

  •    Sensor-based data Collection and Integration

    Aiming at the the analysis and integration of information from heterogeneous sources, with a possible application for early warning systems.

  •    Geo-Simulations

    Parametrizations, scales, integration of different models, etc.

PAST EVENTS

IS-GEO EXPERT SERIES

Most Recent:
  • [ August 6, 2019 ]
    Agent Based Modeling of Humans and Their Environment, Marco Jansen, Senior Sustainability Scientist

    SPEAKER: Julie Ann Wrigley [ Senior Sustainability Scientist ] - Global Institute of Sustainability
    [ Professor ] - School of Sustainability, Arizona State University


  • [ March 2019 ]
    Adaptation Through Learning: Using Machine Learning to Improve Forest Wildfire Management

    SPEAKER: Mark Crowley [ Assistant Professor ] - Department of Electrical and Computer Engineering
    [ Assistant Professor ] - Waterloo Artificial Intelligence Institute at the University of Waterloo


  • [ February 2019 ]
    ClimateNet Bringing the power of Deep Learning to the climate community via open datasets and architectures.

    SPEAKER: Karthik Kashinath - Big Data Center, NERSC (Lawrence Berkeley Lab)


  • [ January 2019 ]
    SWIMming Toward a Sustainable Water Future

    SPEAKER: Natalia Villanueva - University of Texas at El Paso


  • [ December 2018 ]
    The ‘Ike Wai Project: A multi-faceted study of two Hawaiian aquifers.

    SPEAKER: Gwen Jacobs [ Director of Cyberinfrastructure ] - University of Hawaii


  • [ November 2018 ]
    Digital Technology and Living with Environmental Change

    SPEAKER: Gordon Blair - Lancaster University.


  • [ October 2018 ]
    ClimateNet, Community-contributed datasets with labeled instances of extreme weather patterns for deep learning analysis

    SPEAKER: Mr. Prabhat - NSERC
    - LBNL


  • [ September 2018 ]
    Climate change and health: preparing for a potentially unrecognizable future

    SPEAKER: Kristie L. Ebi - University of Washington.


  • [ August 2018 ]
    CSciBox: An Artificial Intelligence Tool for Complex Age-Depth Models

    SPEAKER: Elizabeth Bradley - CU Boulder.


  • [ June 2018 ]
    AI for Earth

    SPEAKER: Lucas Joppa - Microsoft Research


COLLABORATORS