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Technology topic
Advanced Systems for Scalable Analytics (AA)
The Advanced Systems for Scalable Analytics topic focuses on innovations needed for building systems that organize and process large and ever-increasing volumes of structured, semi-structured and unstructured data to reveal actionable new insights. It also includes innovative knowledge management and data mining technologies that complement deep learning. Sample topics include data and knowledge management technologies for data acquisition, integration, annotation, governance and provenance; hardware and software for addressing the performance needs of analytical systems; technologies for continual learning in dynamic environments; technologies in data mining, visualization and optimization; and marketplaces for data and models.
These subtopics are only meant to serve as examples. All proposals focused on the development of a new high-risk technical innovation and significant potential commercial and societal impact are welcome to apply, regardless of subtopic.
Sub-Topics
AA1. Building Analytical System for Learning from Dynamic Environments
AA2. Data Mining, Machine Learning (Non-deep learning-based), and Reinforcement Learning
AA3. Decision Support and Optimization
AA4. Knowledge and Data Management Technologies
AA5. Marketplaces for Data and Models
AA6. Novel Visualization Technologies
AA7. Software Technologies for Scalable Analytical Systems
AA8. Other Novel Technologies
Application process for Advanced Systems for Scalable Analytics (AA) funding
Eligibility for Advanced Systems for Scalable Analytics (AA) funding +
- Your company must be a small business (fewer than 500 employees) located in the United States.
- At least 50% of your company’s equity must be owned by U.S. citizens or permanent residents. NSF does not fund companies that are majority-owned by multiple venture capital firms, private equity firms, or hedge funds, to participate in SBIR and STTR.
- All funded work, including work done by consultants and contractors, needs to take place in the United States.
- The project’s principal investigator (tech lead) must be legally employed at least 20 hours a week by the company seeking funding. The principal investigator doesn’t need any advanced degrees.
- The principal investigator needs to commit to at least one month (173 hours) of work on a funded project per six months of project duration.
Evaluation Criteria: What We Look for When Evaluating Advanced Systems for Scalable Analytics (AA) proposals +
- Technological Innovation
- Broader Impacts
- Commercial Potential
- Read more about our criteria
Take our project assessment to see if your work might be a good fit for NSF funding.