Anticipated Release Date: Q2FY25 Develop diagnostic and detection assays, platforms, or devices to sense exposures of emerging toxins, to include naturally occurring (e.g. marine, fungal, snake venom, small molecules) or synthetically-derived threats. Responding to this opportunity Read More
Due: August 16, 2024 The desired objective is to provide private sector and government with a secure, scaled, and efficient platform that delivers the following user experiences for discovering/matching capabilities and/or needs across multiple data Read More
Due: September 6, 2023 The Smart Cities – Smart Bases Innovation Challenge wants to know how YOU can deliver cutting-edge, dual-use technology to address the overlapping technical, environmental, and security challenges facing both smart cities and smart Read More
Due: September 27, 2024 This 5-day boot camp prepares medtech, digital health, and healthcare technology startups to raise their first round from institutional investors. We equip founders with the know-how to create a capital ready Read More
Due: July 29, 2024 The objective of this study is to implement some of what was learned in Phase 1 to develop and test the core questions and a module to be added to existing Read More
Due: July 25, 2024 The objective of this project is to explore how a future National Secure Data Service (NSDS) could provide shared information and tools for making statistical data products more readily ingestible by Read More
Due: July 25, 2024 The objective of AI-DQSI-24 is to explore the use of artificial intelligence (AI) to assist in the processing, formatting, standardization, and integration of data to support activities that are integral to statistical Read More
Due: July 17, 2024 The purpose of this RFS is intends to address supply chain risks by soliciting development, prototyping and demonstration efforts to help mitigate potential problems through application of modernized, advanced manufacturing technologies Read More
Due: July 16, 2024 The objective of this project is to improve understanding of how synthetic data generators work with large real-world data (RWD) (e.g., datasets with over 30 billion rows of data) to inform Read More
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