INFORMS Open Forum

cORe: computational Operations Research exchange

  • 1.  cORe: computational Operations Research exchange

    Posted 05-14-2019 16:20
    Some of you have already heard about cORe:  computational Operations Research exchange. It is a "github" of data for decision models.  This is a community resource which has been made possible by the "can-do" vision of the OE program at NSF.   Here is the link for cORe:  core.isrd.isi.edu/chaise/recordset/#1/...

    This project started about a year ago, and we are now inviting the community for a test drive.   You can do so, with or without logging in.  For academics, your institutional login will get you into the system.  This is a cyber-infrastructure dedicated to OR, and it'll be only as successful as our community's participation.  By embracing this effort, you will help our community gain in visibility, and impact.

    What is cORe?  It a cyberinfrastructure which will facilitate computational Operations Research exchange.  OR models arise in many engineering domains, such as design, manufacturing, and services (e.g., banking/finance, health systems), as well as specific infrastructure-centric applications such as logistics/supply chains, power system operations, telecommunications, traffic/ transportation, and many more.  In addition, modern OR tools have also been adopted in many foundational disciplines, such as computer science, machine learning, simulation, statistics, stochastic modeling, and others.  If you're looking to contribute new Analytics cases, this platform is also ideal for you.  Check it out.

    How will cORe Benefit Science and Engineering?  Given the broad footprint of OR, the development of a robust cyberinfrastructure has the potential to not only promote greater exchange of data, models, software, and experiments but also enhance reproducibility and re-usability, both within OR, and across multiple disciplines mentioned above.  cORe has the potential to drastically reduce the computational burden on research communities which study resource allocation using analytics.  Please join us usher in a new era of rapid OR development and deployment.



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    Suvrajeet Sen
    Professor of ISE (and ECE by Courtesy)
    University of Southern California
    Los Angeles CA
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