Theory-Software Translation: Research Challenges and Future Directions
Caroline Jay, Robert Haines, Daniel S. Katz, Jeffrey Carver, James C., Phillips, Anshu Dubey, Sandra Gesing, Matthew Turk, Hui Wan, Hubertus van, Dam, James Howison, Vitali Morozov, Steven R. Brandt

TL;DR
The paper discusses the challenges and future research directions in translating theoretical models into software for scientific discovery, emphasizing the need for robust research software engineering practices.
Contribution
It provides a comprehensive overview of research challenges in Theory-Software Translation and offers recommendations for improving research software engineering in scientific contexts.
Findings
Identification of key challenges in theory-software translation
Need for an evidence base to inform best practices
Recommendations for future research directions
Abstract
The Theory-Software Translation Workshop, held in New Orleans in February 2019, explored in depth the process of both instantiating theory in software - for example, implementing a mathematical model in code as part of a simulation - and using the outputs of software - such as the behavior of a simulation - to advance knowledge. As computation within research is now ubiquitous, the workshop provided a timely opportunity to reflect on the particular challenges of research software engineering - the process of developing and maintaining software for scientific discovery. In addition to the general challenges common to all software development projects, research software additionally must represent, manipulate, and provide data for complex theoretical constructs. Ensuring this process is robust is essential to maintaining the integrity of the science resulting from it, and the workshop…
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Taxonomy
TopicsNatural Language Processing Techniques
