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Fwd: FW: Kaggle competition for the search and discovery of dataset references in scientific publications – LAUNCHED!

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    *From:* IIS Listserv for news, information and panel participation
    opportunities <IIS_NEWS@LISTSERV.NSF.GOV> *On Behalf Of *Kautz, Henry A
    *Sent:* Thursday, April 1, 2021 12:23 PM
    *To:* IIS_NEWS@LISTSERV.NSF.GOV
    *Subject:* Kaggle competition for the search and discovery of dataset
    references in scientific publications – LAUNCHED!

    Hi, I am forwarding to IIS_NEWS a notice about a new Kaggle competition
    that “challenges data scientists to help show how publicly funded data and
    evidence are used to serve science and society” and which could be of
    interest to the IIS community. Please note that this is not an NSF
    activity – any questions about it should be directed to the organizers Mike
    Stebbins and Julia Lane.

    Henry Kautz

    Division Director, Information & Intelligent Systems (CISE/IIS)

    National Science Foundation

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    The Coleridge Initiative (https://coleridgeinitiative.org/) is delighted to
    announce the launch of a major Kaggle competition – Show US the data
    (https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/) – that
    challenges data scientists to help show how publicly funded data and
    evidence are used to serve science and society. Data, evidence, and science
    are critical if government is to effectively combat pandemics, manage
    climate change and reduce coastal inundation, support the development of a
    diverse and innovative STEM workforce, fight Alzheimer’s disease, reduce
    child hunger and increase food production, maintain biodiversity, and
    address many other challenges. Yet much of the information about the data
    necessary to inform evidence and science is locked inside publications. This
    work can tie evidence to action – If data scientists can find how datasets
    are referenced in publications quickly, and at scale, the government can
    catalog answers to our most pressing questions for immediate application to
    the world’s critical issues.

    Previous competitions (https://study.sagepub.com/richcontext) have shown
    that it is possible for machine learning and natural language processing to
    be put to work to find the hidden-in-plain-sight data citations. Now teams
    of Machine Learning and Natural Language processing experts will compete
    for $90,000 in prizes. There will be seven prizes
    (https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/overview/prizes)
    awarded for the teams that have the most precise methods of finding
    datasets in over 20,000 publications – the first place prize is worth
    $30,000; second place $20,000; third place $15,000.

    But beyond the prizes, the team’s work will help governments leverage their
    data as a strategic asset – and show the value of data produced with
    Federal funding. The Foundations for Evidence- based Policymaking Act
    (https://www.cio.gov/policies-and-priorities/evidence-based-policymaking/)
    requires the federal government to modernize its data management practices
    and produce data inventories. This effort will provide agencies with an
    open and transparent way to do so – to assess how data are being used and
    provide a scientific basis for evidence based decision making.

    The competition is now live at
    https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data ! The final
    submission deadline is June 22, 2021.

    – Mike Stebbins and Julia Lane

    ########################################################################

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