Passi, S., & Sengers, P. (2020). Making Data Science Systems Work. Big Data & Society.
Passi, S., & Barocas, S. (2019). Problem Formulation and Fairness. In Proceedings of the Conference on Fairness, Accountability, and Transparency (FAT* '19). ACM, New York, NY, USA, 39-48.
Passi, S., & Jackson, S. (2018). Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects. Proc. ACM Hum.-Comput. Interact., 2, CSCW, Article 136 (November 2018), 28 pages.
Passi, S., & Jackson, S. (2017). Data Vision: Learning to See Through Algorithmic Abstraction. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17). ACM, New York, NY, USA, 2436-2447.
Salah, A., Wyatt, S., Passi, S., & Scharnhorst, A. (2013). Mapping EINS: An Exercise in Mapping the Network of Excellence in Internet Science. Conference Proceedings of the First International Conference on Internet Science, Brussels, 75-78.
Passi, S., Wyatt, S., et al. (2012). Overview of Online Privacy, Reputation, Trust, and Identity Mechanisms. Research Report 5.1.1 for the EU FP7 Research Project — Excellence in Internet Science (EINS).
Muller, M., Feinberg, M., George, T., Jackson, S., John, B., Kery, M., & Passi, S. (2019). Human-Centered Study of Data Science Work Practices. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ‘19), May 4-9, 2019, Glasgow, Scotland, UK. ACM, New York, NY. 8 pages.
Paul Gillin, "Trust but verify; Machine learning's magic masks hidden frailties," siliconANGLE, AI Special Report, February 10, 2019.
Karen Hao, "This is how AI bias really happens-and why it’s so hard to fix," MIT Technology Review 'Tech Policy/AI Ethics', February 4, 2019.
Sondra Campanelli, "Ethical AI Practices Offer Chance for Finance Reforms," machineByte, March 11, 2019. (Paywalled Article—contact me to request a copy)
Louis DiPietro, "To build trust in data science, work together," Cornell Chronicle, November 6, 2018.
Passi, S. (2019, November). Accounting for the Spatial and Temporal Dimensions of Data Science Processes. Paper accepted in the workshop 'Mapping the "How" of Collaborative Action' in the ACM conference on Computer Supported Cooperative Work & Social Computing (CSCW).
Passi, S. (2018, November). Collaboration as Participation: The Many Faces in a Corporate Data Science Project. 'The Changing Contours of "Participation" in Data-driven Algorithmic Ecosystems: Challenges, Tactics, and an Agenda' workshop in the 2018 ACM conference on Computer Supported Cooperative Work & Social Computing (CSCW).
Passi, S. (2018, January). The Stakes are high: But, do we know what they look like? 'Lives of Data 2.0' workshop in the SARAI Programme at the Center for the Study of Developing Societies (CSDS) in New Delhi, India.
Passi, S., & Sengers, P. (2016, February). From what I see, this makes sense: Seeing Meaning in Algorithmic Results. 'Algorithms at work: Empirical Diversity, Analytic Vocabularies, and Design Implications' workshop in the 19th ACM conference on Computer Supported Cooperative Work & Social Computing (CSCW).
Passi, S. (2015). The Remainder of an Unbalanced Equation: Moving from Science & Technology Studies to Information Science. 'Shifting Borderlands of Technoscience' workshop at the fifth decennial Critical Alternatives conference, Aarhus, Denmark.
Passi, S. (2013). Slide to Unlock? - Mobile Convergence and Collapsing Contexts. Excellence in InterNet Science (EINS) workshop in Lausanne, Switzerland.