SBIR-STTR Award

The broader impact/commercial potential of this Small Business Innovation Research Phase I project is to enable organizations - whether businesses, governments, or non-profits - to make more informed, more data-driven decisions. All organizations must decide how to allocate limited resources and do so in the context of meeting a set of objectives, such as profit, social wellbeing, or health. Modeling as a process and models as artifacts of that process allow decision makers to understand data through the lens of objectives to then make decisions; data alone, no matter how much, cannot make decisions. As more aspects of the world are instrumented and captured digitally, the breadth and quantity of data will out of necessity require more modeling to be codified and bring more stakeholders into the fold. Organizations need a modeling workflow and supporting tools that are capable of handling this wider range of data, are fully accessible to non-technical users, and allow more stakeholders to participate in this important process. This Small Business Innovation Research Phase I project addresses the challenge of many users collaboratively building and maintaining analytical models that are consistent and reproducible while allowing for divergent and convergent change. On one end, spreadsheets serve as a general-purpose, ad hoc modeling tool that is open-ended and accessible for many, and on the other, whole software applications whether packaged or custom developed are generally more powerful in important ways but usually sacrifice accessibility and generalizability. This project will produce a prototype of a collaborative integrated development environment for modeling that manages code and data. The technical feasibility of this prototype will be evaluated by developing a test framework that simulates the divergence and convergence of models and scores the outcomes. The commercial feasibility will be evaluated by testing with users building real models to understand the scope of functionality required to bring this to market.

The broader impact/commercial potential of this Small Business Innovation Research Phase II project is to enable organizations - whether businesses, governments, or non-profits - to make more informed, more data-driven decisions. All organizations must decide how to allocate limited resources and do so in the context of meeting a set of objectives, such as profit, social wellbeing, or health. Modeling as a process and models as artifacts of that process allow decision makers to understand data through the lens of objectives and to then make decisions; data alone, no matter how much, cannot make decisions. As more aspects of the world are instrumented and captured digitally, the breadth and quantity of data will out of necessity require larger, more complex models to be built. Organizations will need a modeling workflow and supporting tools that scale with these demands. This Small Business Innovation Research (SBIR) Phase II project addresses the challenge of many users collaboratively building and maintaining analytical models that are consistent and reproducible while allowing for divergent and convergent change. This project will address the resource management challenges identified in development and the interactivity gaps identified in user testing of the Phase I prototype. The result will be a commercial software application for building models that manages code, data, and the evolution of both over time by many users. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.