Student Modeler Award 2016

From CSDMS

CSDMS Student Modeler Award 2017

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Students… It's time to apply for the CSDMS STUDENT MODELER AWARD.


Applications due by January 17, 2017



CSDMS invites graduate students from earth and computer sciences to compete for the annual “CSDMS Student Modeler Award.” If you have completed an outstanding research project in 2016, which involved developing an earth science model, a modeling tool, or module linking technology, you can qualify for this award! Models can be on all earth surface topics that our community embraces; terrestrial, coastal, marine, hydrological, ecological, geodynamics, or involving landscapes and human dimensions.
Entries will be judged on the basis of ingenuity, applicability, and contribution toward the advancement of geoscience modeling by a panel of experts in the field. Software experts on the panel will value open source code contributions, and judge coding best practices, if you submit your code. We’ll have a prize! In addition, CSDMS will fund your visit to our annual meeting in Boulder, Colorado May 2017 to learn all about the CSDMS.

To apply, submit the following to csdms@colorado.edu by January 17thth, 2017:

  • a 1‐page abstract highlighting your results
  • a digital copy of your thesis or research paper,
  • your code or a link to a repository of your code
  • contact information of your supervisor.


We will treat all submissions that are still to be published confidentially.

Recipients of this year’s award will be announced by early February 2017. The winner will receive a fully funded trip* to Boulder, Colorado to attend the CSDMS annual meeting 2017 to learn all about CSDMS, network with other modelers and attend a suite of clinics. The meeting will be held in May 2017.

The Community Surface Dynamics Modeling System deals with the Earth's surface-the ever changing, dynamic interface between lithosphere, hydrosphere, cryosphere, and atmosphere. We promote the modeling of earth surface processes by developing, and disseminating integrated software modules that predict the movement of fluids, and the flux (production, erosion, transport, and deposition) of sediment and solutes in landscapes and their sedimentary basins.

* Trip must originate from within the Continental U.S.A.