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Decompression Sickness Modeling

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The Johnson Space Center is seeking a vendor to develop a predictive model for Spaceflight Decompression Sickness risk to support lunar and Mars exploration. By utilizing retrospective and prospective operational data, the project aims to create an operationally feasible tool capable of accurately forecasting DCS risk for astronauts. The acquisition process consists of two phases. Initially, multiple vendors will receive a partial dataset to build a model, which will then be validated against a withheld testing set. Following this evaluation, a single vendor will be selected to refine the model and integrate additional datasets to enhance its predictive capabilities.

General Info

Johnson Space Center seeks a vendor to develop a predictive Spaceflight Decompression Sickness model.

NAICS

518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Place of Performance

Nationawide US City, Nationwide US, USA

Set-Aside

NONE

Documents

0

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Timeline

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Organization & Contact Information

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AgencyNational Aeronautics And Space Administration → Johnson Space Center
Contacts2 people available
OfficeN/A
Office AddressN/A
Contacts
Bollweg Laura J
Romain Tumarrow

Full Description

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The focus of this effort is to produce a model that allows for the accurate prediction of Spaceflight Decompression Sickness (DCS) risk based upon evidence from studies from operational data sources. Using retrospective and prospective data, the goal is for the model to be used as an operationally-feasible, mission-relevant DCS risk prediction tool for lunar and Mars exploration. Two phases of aquisition.
RFP for Decompression Sickness Modeling. Plan is to start with initial model by providing vendors with majority of the dataset but holding back some data for testing. After vendores provide model, we will test them based on data. Then downselect to one vendor. This vendor will improve the model and pull in new datasets.

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Information Technology Development And Sustainment

POSTED

about 14 hours ago

DEADLINE

in 2 months
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