*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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