***Benthall, S., and Goldenfein, J. (2021) Artificial Intelligence and the Purpose of Social Systems. Proceedings of the 2021 AAAI/ACM Conference on AI Ethics and Society (AIES'21). (link)
***Benthall, S. (2019) Situated Information Flow Theory. Proceedings of the 6th Annual Hot Topics in the Science of Security (HoTSoS). (pdf)
Nissenbaum, H., Benthall, S., Datta, A., Tschantz, M. C., & Mardziel, P. (2018). Origin Privacy: Protecting Privacy in the Big-Data Era. Technical Report. New York University. (link)
***Benthall, S., Gürses, S., and Nissenbaum, H. (2017) Contextual Integrity through the Lens of Computer Science. Foundations and Trends in Privacy and Security, vol. 2, no. 1, pp. 1–69, 2017. DOI: 10.1561/3300000016. Winner of PLSC 2017 Junior Scholars Award.(pdf)
Benthall, S. (2017) Assessing Software Supply Chain Risk Using Public Data. IEEE STC 2017 Software Technology Conference. (link)
***Benthall, S., Pinney, T., Herz, J., Plummer, K. (2016) An Ecological Approach to Software Supply Chain Risk Management. Proceedings of the 15th Python in Science Conference. p. 136-142. Ed. Sebastian Benthall and Scott Rostrup. (link) Video:
Fanti, G., David, Y. B., Benthall, S., Brewer, E., and Shenker, S.. (2013) Rangzen: Circumventing Government-Imposed Communication Blackouts. Technical Report UCB/EECS-2013-128, EECS Department, University of California, Berkeley, Jul 2013. (link)
Computational Social Science
***Benthall, S., and Strandburg, K. (2021) Agent-Based Modeling as Legal Theory Tool. Frontiers in Physics. (link)
Benthall, S. and Seth, M. Software Engineering as Research Method: Aligning Roles in Econ-ARK. In Meghann Agarwal, Chris Calloway, Dillon Niederhut and David Shupe, editors, Proceedings of the 19th Python in Science Conference, pages 156 – 161, 2020. doi:10.25080/Majora-342d178e-015 (link)
***Benthall, Sebastian, and Bruce D. Haynes. "Racial categories in machine learning." Proceedings of the Conference on Fairness, Accountability, and Transparency. ACM, 2019. (link) (video)
Benthall, S. (2016) Philosophy of Computational Social Science. Cosmos and History: The Journal of Natural and Social Philosophy, Vol 12, No 2. (link)
Benthall, S. (2016) The Human is the Data Science. Workshop on Developing a Research Agenda for Human-Centered Data Science. CSCW 2016. (link)
***Benthall, S. (2015) Testing Generative Models of Online Collaboration with BigBang. SciPy 2015. Ed. Kathryn Huff and James Bergstra. (link)
***Benthall, S. (2014) Designing Networked Publics for Communicative Action. Jenny Davis & Nathan Jurgenson (eds.) Theorizing the Web 2014 [Special Issue]. Interface 1.1. (link)
Miscellaneous
***Benthall, S. and Vilijoen, S. (2021) Data Market Discipline: From Financial Regulation to Data Governance. J. Int'l & Comp. L., 8, p.459. (link)
Benthall, S. (2017) Don't Fear the Reaper: Refuting Bostrom's Superintelligence Argument. Preprint, arXiv:1702.08495 (link)
Benthall, S. and Chuang, J. (2013) "Computational Asymmetry in Strategic Bayesian Networks,” Poster at W-PIN+NetEcon 2013, Pittsburgh. arXiv:1206.2878 [cs.GT] (arXiv)
***Benthall, S. (2007) "Kudos for the Mindless Expert." Review of Expert Political Judgment, by Philip Tetlock. Critical Review, Volume 19, Issue 1, January 2007, pages 65-79. (link)
Some more "popular" writing, for a slightly less academic audience. I've included some of my most widely read blog posts.
Benthall, S. and Goldenfein, J. "Essential Infrastructures". Phenomenal World. (link)
Benthall, S. and Haynes, B. "Understanding Race with AI". Public Books. (link)
Benthall, S. (2013) "Why Weird Twitter", Ethnography Matters. (link) A brief and unlikely foray into social media ethnography...
Benthall, S. (2009). An open source web GIS solution-the OpenGeo stack. GEO informatics, 12, 40-43.
Software
SHARKFin, a toolkit for modeling the interaction between the macroeconomy and the financial system.
Econ-Ark, a toolkit for structural economic modeling with heterogeneous agents.
BigBang is a toolkit for the scientific analysis of open collaborative communities.
GeoNode, an open source geospatial data management system. It was part of an innovative strategy to leverage open source development practices for international development. There is still a great team working on it and deploying it as a product.
Dissertation
Sebastian Benthall. Context, Causality, and Information Flow: Implications for Privacy Engineering, Security, and Data Economics. Ph.D. dissertation. Advisors: John Chuang and Deirdre Mulligan. University of California, Berkeley. 2018. (eScholarship) (slideshare)
Background
2021 - NSF SBE Postdoctoral Research Fellow
2019 - Research Engineer, Econ-Ark
2018 - : Research Scholar at NYU. GGLT (2019 - ), ILI (2018 - ) and CCS (2018 - 2019).
2019 : Senior Data Engineer at Skopos Labs
2016 - 2018 : Researcher at Cornell Tech under Prof. Helen Nissenbaum.
2016 - 2019 : Data scientist at Ion Channel.
2011 - 2018 : PhD at UC Berkeley's School of Information.
2007 - 2011 : Worked in programming, management, and marketing in geospatial civic tech company, OpenGeo.
