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This Solicitation opportunity from Texas was posted on June 17, 2024. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Advanced Computational Cognitive Evaluation Scoring System (ACCESS)

Closed
UTD20240528-TBState & Local

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The University of Texas at Dallas is seeking proposals under the solicitation titled "Advanced Computational Cognitive Evaluation Scoring System (ACCESS)" to develop an advanced machine learning pipeline capable of automatically scoring cognitive assessments. The project aims to create a scalable system that can seamlessly integrate with existing technologies and include mechanisms for administrative feedback within the user interface. Additionally, the contract involves developing robust APIs to support system functionality and ensure smooth data exchange. The contract value ranges from $500,000 to $2,000,000, reflecting the project's scope and complexity. The deadline for responses is July 9, 2024, and the primary point of contact is Tonya Bester, reachable via email or phone. The project is situated within Texas and is managed by the Texas State and Local Government (SLED) organization, emphasizing the importance of innovative technological solutions in the educational and governmental sectors.

Documents

1

Submission Instructions for UTD20240528-TB

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Timeline

1 update
PhaseClosed
Posted

Solicitation

Notice updated

Response deadline changed from Jul 9, 2024 to Jul 16, 2024. NAICS code changed from 541715 to 541512. The notice description changed. The point of contact changed.

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyUniversity of Texas At Dallas
Contacts1 person available
OfficeN/A
Organization / AgencyUniversity of Texas At Dallas
Office AddressN/A

Full Description

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0 ? projectDetailsCtrl.project.StatementOfWork : '-'" data-cy="details_php_project_description">UTD is seeking proposals for implementing and automating a machine learning pipeline for auto-scoring cognitive assessments, integrating admin feedback mechanisms to the admin user front end, and developing robust APIs. The system must be scalable and integrate seamlessly with existing technologies.

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