@article{schmidt_vogel_2021, title={Algorithms that Empower? Platformization in US Intelligence Analysis}, ISSN={["2158-3404"]}, DOI={10.1109/ISTAS50296.2020.9555838}, abstractNote={This paper discusses a computational architecture called the Analytic Component System (ACS), which aims to provide intelligence analysts with a service-oriented computational platform. This platform is designed to empower intelligence analysts by improving the integration of people, algorithms, software, tools, and manual work in the production of time-pressured intelligence assessments. Combining the perspectives of the ACS computer science design team and an embedded social scientist, this paper will use ACS to discuss the “platformization” of intelligence analysis and what this means for how we might think about and plan for reflexive design in future computational intelligence analytic systems.}, journal={PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGY AND SOCIETY (ISTAS)}, author={Schmidt, Matthew and Vogel, Kathleen M.}, year={2021} }
 @article{vogel_tyler_2019, title={Interdisciplinary, cross-sector collaboration in the US intelligence community: lessons learned from past and present efforts}, volume={34}, ISSN={["1743-9019"]}, DOI={10.1080/02684527.2019.1620545}, abstractNote={ABSTRACT How does one design and sustain interdisciplinary, cross-sector collaboration to improve intelligence results for twenty-first century security threats? This paper will analyse five past and present initiatives designed to create interdisciplinary, cross-sectoral collaboration within different agencies of the US Intelligence Community (IC). We will discuss key features of each effort, their successes and challenges, identify common themes and, propose which collaborative model might be most advantageous for a particular type of project based on project constraints. In so doing, we provide direction for IC leaders seeking to improve academia–industry–intelligence partnerships for future planning on intelligence-funded collaborations.}, number={6}, journal={INTELLIGENCE AND NATIONAL SECURITY}, author={Vogel, Kathleen M. and Tyler, Beverly B.}, year={2019}, pages={851–880} }
 @article{vogel_2014, title={Revolution versus evolution?: Understanding scientific and technological diffusion in synthetic biology and their implications for biosecurity policies}, volume={9}, number={4}, journal={Biosocieties}, author={Vogel, K. M.}, year={2014}, pages={365–392} }