***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 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. (2015) Testing Generative Models of Online Collaboration with BigBang. SciPy 2015. Ed. Kathryn Huff and James Bergstra. (link)
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. (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 Goldenfein, J. (2020) Data Science and the Decline of Liberal Law and Ethics. Ethics of Data Science Conference - Sydney 2020 (forthcoming). (SSRN)
Benthall, S. (2017) Don't Fear the Reaper: Refuting Bostrom's Superintelligence Argument. Preprint, arXiv:1702.08495 (link)
Benthall, S. (2013) "Why Weird Twitter", Ethnography Matters. (link) A brief and unlikely foray into social media ethnography...
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. (2009). An open source web GIS solution-the OpenGeo stack. GEO informatics, 12, 40-43.
***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)
Software
Econ-Ark, a toolkit for structural economic modeling with heterogeneous agents.
BigBang is a toolkit for the scientific analysis of open collaborative communities.
@TheTweetserve is a Twitter bot that's an experiment in subverting preferential attachment dynamics in networked public formation. (github)
poll.emic - a tool for gathering egocentric networks of mentions on Twitter
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
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.
