In the last few years, the National Oceanic and Atmospheric Administration has devoted $10 million to $15 million annually to small businesses in the form of SBIR grants. Photo via Getty Images

Inside the Department of Commerce is a relatively small federal agency, compared to the others, call the National Oceanic and Atmospheric Administration. They too have a small business innovation research (or SBIR) program in which technology startups can have access to funds to de-risk their innovation.

Here’s what you need to know about this non-dilutive funding opportunity:

Overview of NOAA’s SBIR Program

Although the SBIR program has been around for over forty years, NOAA entered the scene in 2010 when their research and development budget reached over $100 million. Per the federal statue, they joined a host of federal agencies that were to devote 3.2 percent of that budget to small businesses.

In the last few years, NOAA has devoted $10 to $15 million annually to small businesses in the form of SBIR grants. These Phase I awards have reached $175,000 in funding for a six-month feasibility study. Follow-on Phase II awards can reach up to $650,000 for 24 months of R&D. Each year’s solicitation is generally announced near the end of the calendar year with deadlines ranging from December to March. While not exactly cyclical, anticipating these deadlines allows a company to set aside enough to prepare a proper application.

What is NOAA Looking For?

According to the NOAA’s website, “NOAA is an agency that enriches life through science. Our reach goes from the surface of the sun to the depths of the ocean floor as we work to keep the public informed of the changing environment around them.“ Their SBIR research topics have stayed consistent since 2011 with minor general topic changes. These six topics have been the same for the last two funding cycles:

  • 9.1 Extreme Events and Cascading Hazards
  • 9.2 Coastal Resilience
  • 9.3 The Changing Ocean
  • 9.4 Water Availability, Quality, and Risk
  • 9.5 Effects of Space Weather
  • 9.6 Monitoring and Modeling for Climate Change Mitigation

When analyzing past winners, which you can find online, a clear emphasis is placed on developing advanced tools for data collection, analysis, and prediction, particularly in the areas of weather forecasting, oceanic observation, and ecosystem health. Many projects involve AI and machine learning for processing large datasets to improve decision-making in disaster response, fishery management, and habitat conservation.

The recurring theme of scalability, real-time data applications, and cost-effective, sustainable solutions shows NOAA's interest in technologies that not only address immediate environmental challenges but also have broader implications for global climate and ecosystem management. Additionally, NOAA seems to value partnerships that leverage cross-disciplinary expertise, integrating cutting-edge science with practical applications.

Their grading criteria also give you some early insight into what they are interested in receiving:

  1. The scientific merit and technical approach of the proposed research (40 points)
  2. The level of innovation the proposed effort offers to the research topic area (20 points)
  3. Consideration of an application’s commercial and societal impacts and potential applications (20 points)
  4. Qualifications of the proposed principal/key investigators, supporting staff, and consultants and availability of instrumentation and physical facilities necessary to complete the proposed work (20 points)

How to Apply

Because of the previous trends, we anticipate NOAA will publish a similar list of research topics along the same lines as the last few years within the next several months. With a deadline being between December and March, it’s in your best interest to begin preparing your application now. Here are the first three early steps I’d recommend for you to get a headstart:

  • Check your eligibility
    • You must be a for-profit organization.
    • You must have fewer than 500 employees
    • You must be primarily owned by a U.S. citizen or permanent resident
    • You must not be majority owned by venture capital or private equity
  • Complete your registrations
    • System for Award Management (SAM) — registration can take over a month and must be renewed on an annual basis.
    • Small Business Association SBA — registration can take up to 90 days.
    • Grants.gov — registration typically takes between three to 10 business days.
  • Start writing your first sections
    • Develop your abstract and specific aims. If possible, schedule a meeting with a program manager from NOAA to review and provide early feedback on these early sections.

Don’t Forget About Asking for Help

Practice regular and open communication with NOAA and their SBIR program managers. Ask questions early and often to make sure you have the best chance of receiving positive feedback when you finally submit your application. I’d encourage you to find previous NOAA SBIR reviewers to do a preliminary review before your submission. Since these solicitations only come around once a year, it’s worth the time and effort to polish your application to the highest degree. If you’re worried about the time commitment of writing a 15 page application for funding, find a local grant writer (or grant writing firm) to help with application and submission process.

Finally, good luck to all you NOAA applications as you innovate in such a way to make the world a better place.

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Robert Wegner is the director of business development for Baginski Wegner and Company (BW&CO).

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”