Events

  • Geospatial analysis with Google Earth Engine

    Modern Languages Building (MLB), Room 2001B

    Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This workshop will provide an introduction to GEE. We will cover data […]

    Introduction to SPSS

    Modern Languages Building (MLB), Room 2001B

    Audience: Never before SPSS users who will be using SPSS for Windows.  Those using SPSS for Unix or Macintosh should email the instructor at [email protected] before enrolling. Note: Topic order is subject […]

  • XSEDE HPC Summer Bootcamp

    NCRC B16 B003E 2800 Plymouth Rd., Ann Arbor, MI, United States

    11 a.m. to 5 p.m., June 4-7, 2018
    This 4 day event will include MPI, OpenMP, OpenACC and accelerators.

    Spatial point process models

    Modern Languages Building (MLB), Room 2001B

    This is the first workshop in a series of three workshops that will cover spatial modeling of three broad classes of data: (i) spatial point pattern, (ii) discrete spatial variation […]

  • Single-Cell Data Analytics Symposium 2018

    Palmer Commons, Great Lakes Central Room 100 Washtenaw Ave., Ann Arbor, MI, United States

    Please join us for the second annual Single-cell Genomic Data Analytics Symposium. The day long symposium will highlight researchers from U-M and around the world whose work is on the […]

    Open MP Workshop

    NCRC B16 B003E 2800 Plymouth Rd., Ann Arbor, MI, United States

    ARC-TS and the Scientific Computing Student Club are hosting a satellite site for XSEDE hands-on workshops during this summer. These workshops provide a convenient way for researchers to learn about the latest techniques and technologies of current interest […]

    Geostatistical modeling

    Geostatistics deals with continuous variation over space and emphasizes the idea of spatial correlation via covariance. It is widely used for spatial interpolation. We will use ArcGIS and R to […]

  • AIM Seminar: Alex Gorodetsky, Aerospace Engineering, University of Michigan

    1084 East Hall 530 Church St., Ann Arbor, MI, United States

    Low-rank tensor approaches for adaptive function approximation: algorithms and examples In this talk, we present an adaptive method for approximating high-dimensional low-rank functions. Taking advantage of low-rank structure in approximation […]

    Data-Intensive Social Science Challenge Symposium

    Weiser Hall, 10th Floor 500 Church Street, Ann Arbor, MI, United States

    Data-intensive social science is one of the research focus areas that MIDAS supports with its Challenge Awards. Our long-term goal is to support this research area more broadly, using the […]