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Decision Science Government Bids & RFPs
Government bid alerts, regional filters, and fast access to documents
90% recommend BidHits (1086 real users, 08/24/2026).Methodology
USA | VA | NORFOLK CITY COUNTY | NORFOLKMidsize City
RISK AND ANTICIPATORY ANALYTICS - See attached RFI/Sources Sought and Statement of Work
Risk and anticipatory analytics services Services to provide insights and enable cost- effective decisions regarding research, design, development, systems engineering, acquisition, testing, cyber security, readiness, sustainment, and evaluation, specifically investigating Navy and Marine Corps mishaps.
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The contractor must provide a diverse data science team and software developers to investigate Navy and Marine Corps mishaps using rigorous analytical methodologies. Key tasks include program management, studies and analysis of historical mishap data, technical integration, prototyping predictive risk models, design and engineering of risk scoring, training government personnel, and operational implementation. The work will primarily be accomplished at government facilities at NavSafeCom, Norfolk, VA.
Decision Theory/ Data Science/ Food Science Testing
Space Food Bayesian modeling - PLEASE SEE THE ATTACHED DOCUMENTS FOR DETAILS. ALL QUOTES MUST BE SUBMITTED IN PDF FORM TO BE CONSIDERED.
Food shelf- life testing strategy and statistical analysis Bayesian statistical analysis models on tested foods, statistically based recommendations on additional foods needing testing, years of storage and testing needed for nutrition, rationale report on analysis extension to two hundred food beverages.
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The project requires a statistical assessment using Bayesian modeling to extrapolate shelf-life testing results from a limited set of foods to a final menu of over 200 food beverages. Mandatory expertise includes Bayesian statistics, decision theory, data science, and experience with NASA nutrition testing. Deliverables include statistical models, recommendations for further testing, and a rationale report.
Mandatory expertise includes: 1. bayesian statistics 2. decision theory 3. data science 4. experience with nasa nutrition testing 5. food science testing background.
Quantitative Decision Reliability of AI- Accelerated Computational Modeling and Simulation for Cardiovascular Devices - Quantitative Decision Reliability of AI- Accelerated Computational Modeling and Simulation for Cardiovascular Devices
Research services for developing methods to evaluate the reliability of AI- accelerated computational evidence in cardiovascular device regulatory submissions. Task 1: Literature review of surrogate modeling methods for cardiovascular devices. Task 2: Computational fluid dynamics and surrogate model development and evaluation. Task 3: Decision reliability assessment using surrogate models. Task 4: Reporting and publication of all work performed.
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This is a Request for Quote (RFQ) for research services to develop methods for evaluating the reliability of AI-accelerated computational evidence in cardiovascular device regulatory submissions. The contract will be a firm fixed-price type contract with a 12-month period of performance. Key tasks include a literature review, CFD and surrogate model development, decision reliability assessment, and reporting. All work will be performed at the contractor's facility. The award will be made to the lowest priced technically acceptable offer. Quotes are due by 10 AM EST on 08/07/2026.
Deliverables are due at various times within the 12-month period of performance, with the final draft publication due at 12 months from contract start.
Payment requests must be submitted electronically through the U. S. Department of Treasury's Invoice Processing Platform (IPP). Payment is based on acceptance of the entire task or tangible product deliverables.
Award shall be made to a single responsible party with the lowest priced technically acceptable offer.
Contractors must demonstrate a proven track record in cardiovascular computational fluid dynamics with peer-reviewed publications, experience with medical device applications and regulatory science, expertise in surrogate modeling, and an understanding of regulatory evaluation frameworks.
No site visit is required or authorized under this contract.
07/10/2026 - USA | IA | STORY COUNTY | AMES | 50011 Small City
Isu - Iowa State University Of Science And Technology- IA
Project & Portfolio Management Software - Iowa State University of Science and Technology ( ISU) is soliciting information from qualified contractors to provide the goods and/or services described herein. Contractors should read all materials carefully and note the due date. Contractors must submit all questions in the " Questions" tab related to this bid opportunity. Bid responses will ONLY be accepted online via ISUBid. Please allow adequate time to review and submit your response prior to the deadline.
Project and Portfolio Management ( PPM) Software Cloud- based Project and Portfolio Management ( PPM) platform for Digital Ag Innovation Lab ( DAIL) at Iowa State University. The solution will support approximately 50 users initially, with anticipated growth to 60 users within two years. It will be used for project planning, execution, resource allocation, portfolio reporting, risk management, and organizational decision- making across engineering, research, outreach, and industry- sponsored initiatives. The platform needs to provide visibility from the portfolio level through individual tasks, support Digital Ag' s project hierarchy, planning cadence, and governance processes. It should be scalable, user- friendly, support collaboration, enable data- driven project management, and provide actionable insights into project health, resource utilization, and organizational performance.
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Iowa State University is seeking a cloud-based Project and Portfolio Management (PPM) software solution for its Digital Ag Innovation Lab. The software should support approximately **** users and provide visibility across projects, teams, and resources. Key functionalities include project planning, execution, resource allocation, portfolio reporting, and risk management. Responses are due by July 31, 2026, 12:00 PM CT. All questions must be submitted via the questions tab. Bid responses will only be accepted online via ISUBID. Required attachments include a completed VPAT, HECVAT or HECVAT Lite, technical documentation, implementation plan, and itemized quote. Evaluation criteria include meeting specifications, cost, support, ease of use, and past experience.
Bid responses are due by July 31, 2026, 12:00 PM CT. esponse deadline: **** 12: 00 pm ct
The evaluation may be based upon: ability to meet required specifications, data analytics offered, availability of support, ease of use, visual appeal, ability to meet preferred specifications, total cost for Iowa State University, quality of references and/or past experience, and exceptions taken to RFP terms and conditions. he evaluation of this rfprfq may be based upon, but not limited to: ability to meet required specifications data analytics offered availability of support ease of use visual appeal ability to meet preferred specifications total cost for iowa state university quality of references and or past experience exceptions taken to rfp terms and conditions
Contractors must be qualified and provide a completed VPAT, HECVAT or HECVAT Lite, technical documentation, implementation plan, and an itemized quote. contractors should read all materials carefully and note the due date.
Failure to demonstrate substantial conformance with applicable accessibility standards, provide sufficient documentation, or make timely progress on remediation may affect purchasing decisions or result in termination of the contract. failure to demonstrate substantial conformance with applicable accessibility standards, provide sufficient documentation, or make timely progress on remediation may affect purchasing decisions or result in termination of the contract.
RFQ # 2026- 06 Medical Laboratory Science ( MLS) Program - Microscopes - The purpose of this RFQ is to procure three ( 3) bright field microscopes with attached digital cameras for the MLS laboratory at the Wilsonville, OR campus. Currently in the student labs there are Leica DM **** microscopes with Leica digital cameras attached. Compatibility with current microscopes will be an important factor in Oregon Techs decision. Of the three ( 3) microscopes, two ( 2) will be used for hematology and one ( 1) will
Medical Laboratory Science ( MLS) Program Microscopes Three ( 3) bright field microscopes with attached digital cameras. Two ( 2) for hematology ( requiring an additional 50x oil objective and a miller disc eyepiece) and one ( 1) for microbiology ( requiring a reticle 10mm eyepiece instead of a 50x oil objective and miller disc).
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Oregon Institute of Technology is seeking quotes for three bright field microscopes with digital cameras for their MLS program. Compatibility with existing Leica DM **** microscopes is important. Quotes are due June 3, 2026, and should include item description, price, warranty, and estimated delivery time. Evaluation will consider company experience, staff experience, price, references, and timeline. All quotes are binding for 60 days.
Delivery time is of the essence and may be a factor in making an award.
Oregon Tech shall pay contractor within 30 days from the date the goods are delivered and accepted or the date the accurate invoice is received, whichever is later.
Contractor represents and warrants that the goods are new, current, and fully warranted by the manufacturer, unless otherwise authorized by Oregon Tech. Delivered goods will comply with specifications and be free from defects in labor, material, and manufacture. All UCC implied and expressed warranties are incorporated in this PO.
Quotes will be evaluated based on subjective factors, including but not limited to: company experience, staff experience, not-to-exceed price for the inventory, references, and proposal to complete the inventory including timeline.
Quoters are required to read and understand and comply with all information contained within this request for quotes RFQ. Each quoter responding to this request for quotes RFQ must read, complete, and submit a copy of this Oregon Institute of Technology Certification Certification with their quote. Failure to do so may result in rejection of quote.
Failure to comply with all requirements may result in quote rejection. Providing incorrect or incomplete information may be cause for rejection of the quote or contract termination.
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Methodology
Unaided survey with 1086 active users, conducted through 08/24/2026.
Single question: "Would you recommend our services to a friend or colleague?" - 90% answered "yes".
