Pierre, J., Crooks, R., Currie, M., Paris, B., & Pasquetto, I. (2021). “Getting Ourselves Together: Epistemic Burden and Data-centered Participatory Design Research”, ACM, CHI 2021, Yokohama, Japan. 

Brooks, C. F., Heidorn, P. B., Stahlman, G. R., and Chong, S. S. (2016). Working beyond the confines of academic discipline to resolve a real-world problem: A community of scientists discussing long-tail data in the cloud. First Monday, 21(2).

Heidorn, P. B., Stahlman, G. R., & Steffen, J. (2018). Astrolabe: Curating, Linking, and Computing Astronomy’s Dark Data. The Astrophysical Journal Supplement Series, 236(1), 3.

Stahlman, G.R. (2018). Text mining for the dark data hidden in astronomical literature. Computational Social Science Mini-Conference, October 26, 2018, Tucson, Arizona.

Stahlman, G.S., Heidorn, P.B., Steffen, J. (2018). The Astrolabe Project: Identifying and curating astronomical ‘dark data’ through development of cyberinfrastructure resources. EPJ Web of Conferences, 186, 03003.

Stahlman, G. R., & Sheffield, C. (2019). Geoparsing biodiversity heritage library collections: A preliminary exploration. iConference 2019 Proceedings.

Lawrence, E. (2015). “Everything is a Recommendation: Netflix, alt genres and the construction of taste.” Knowledge Organization 42(5), 358-364.

Lawrence, E. and R. Fry. (2016). “Content Blocking and the Patron as Situated Knower: What would it take for an Internet filter to work?” Library Quarterly 86(4), 403-418.

Lawrence, E. (2017). “The Ethics of Contemporary Readers’ Advisory.” Proceedings of the Association for Information Science & Technology 54(1), 731-733.

Lawrence, E. (2017). “Is Contemporary Readers’ Advisory Populist?: Taste elevation and ideological tension in the Genreflecting series.” Library Trends 65(4), 491-507.