Document Type
Article
Publication Date
2024
DOI
10.5281/zenodo.10519749
Publication Title
Zenodo
Pages
17 pp.
Abstract
Mixed methods research ameliorates many convergent research challenges within the contemporary sociotechnical landscape. We suggest the integration of software engineering in mixed methods studies is a critical step to address some of the remaining and persistent challenges. One such research challenge where software engineering is particularly well suited is in hazard preparedness—in particular, the creation of risk communication messages to mitigate or prevent harm. Computationally enhanced risk communication is convergent research that integrates software engineering and social science research for the benefit of protecting humans and infrastructure. To this end, we developed a mixed methods framework for the efficient construction of risk communication messages. We call this the Domain Agnostic Risk Communication (DARC) framework and present it here. The DARC framework formalizes connections between software engineering and social science methods. It incorporates the best available science in risk communication research and a cadre of natural language processing techniques to impart validity, reliability, and precision into resultant messages. The DARC framework is highly modular owing to the incorporation of the software engineering principles of abstraction, extensibility, and encapsulation. While the focus of this position paper is on risk communication, we encourage the incorporation of software engineering into mixed methods research and the incorporation of mixed methods more broadly into software engineering experimentation.
Rights
© 2024 The Authors.
Published under the terms of a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Original Publication Citation
Reinhold, A. M., Munro, M. H., Shanahan, E. A., Gore, R. J., Ezell, B. C., & Izurieta, C. (2024). Embedding software engineering in mixed methods: Computationally enhanced risk communication. Zenodo. https://doi.org/10.5281/zenodo.10519749
ORCID
0000-0003-4065-6146 (Gore), 0000-0003-4274-908X (Ezell)
Repository Citation
Reinhold, Ann Marie; Munro, Madison H.; Shanahan, Elizabeth A.; Gore, Ross J.; Ezell, Barry C.; and Izurieta, Clemente I., "Embedding Software Engineering in Mixed Methods: Computationally Enhanced Risk Communication" (2024). VMASC Publications. 128.
https://digitalcommons.odu.edu/vmasc_pubs/128
Comments
Note: This article is a preprint.