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This Government Contract opportunity from Library Of Congress was posted on September 11, 2020. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

030ADV20Q0285 - Experimental Access to Digital Collections and Data: Analyzing and Demonstrating Affordances at Scale

Awarded
LCCIO20P0122Federal

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The Library of Congress, through its Contracts Services agency, issued award notice 030ADV20Q0285 for a project titled Experimental Access to Digital Collections and Data: Analyzing and Demonstrating Affordances at Scale. Under solicitation LCCIO20P0122, the LC Labs team is tasked with experimenting with machine learning derived data sets and reimagining discovery interfaces to better connect users with digital collections. This initiative focuses on developing prototypes, proof-of-concept designs, and detailed reports to evaluate the feasibility of operationalizing these technological approaches at scale. The project is guided by a methodology that emphasizes transparency, the integration of human expertise with automated processes, and a strong focus on user experience. Furthermore, the work is committed to maintaining high ethical and professional standards regarding inclusivity and accessibility. The contract falls under NAICS code 541511 and is managed out of the Washington, DC office.

General Info

Contract Value

$198,975

NAICS

541511 - Custom Computer Programming Services

Place of Performance

DC

Set-Aside

NONE

Award Issued Date

Documents

0

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Timeline

PhaseAwarded
Posted

Award Notice

Awarded

Contract was awarded

Submission Closed

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Organization & Contact Information

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AgencyLibrary Of Congress → Contracts Services
Contacts2 people available
OfficeWashington, DC, 20540, USA
Office AddressWashington, DC, 20540, USA

Full Description

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The Library's LC Labs team is actively experimenting with various technological approaches such as creating machine learning derived data sets and reimaging discovery interfaces that connect a variety of users with the digital collections. This work encompasses prototypes, proof-of-concept designs, and reports with accompanying recommendations to explore the opportunities and challenges of operationalizing any of these technologies or approaches at scale. The experiments are grounded in being transparent, combining human expertise with automated methods, iterating in response to new evidence, and centering the user experience throughout. The Labs experimentation method is also rooted in a commitment to ethical and professional standards of accessibility and inclusivity.

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