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Barbara Lerner (Computer Science) received a sub award from Harvard under National Science Foundation (NSF) award 1450277 “S12-SSI: Collaborative Research: Bringing End to End Prevenance to Scientists.” The project is for one year.

Emery R. Boose and Barbara S. Lerner, “Replication of data and metadata: a case-study of the analytic web”, in There and back again: the challenge of replication in long-term biodiversity research, Ayelet Shavit and Aaron M. Ellison, eds., Yale University Press, 2017.

Barbara S. Lerner and Emery R. Boose. “RDataTracker: Collecting provenance in an interactive scripting environment”, in 6th Usenix Workshop on the Theory and Practice of Provenance (TAPP), Cologne, Germany, June 2014.

Barbara Lerner, Emery Boose, Leon Osterweil, Aaron Ellison, Lori Clarke, "Provenance and Quality Control in Sensor Networks", Environmental Information Management Conference, Santa Barbara, California, September 2011.

Barbara Staudt Lerner, Stefan Christov, Leon J. Osterweil, Reda Bendraou, Udo Kannengiesser and Alexander Wise, “Exception Handling Patterns for Process Modeling”, IEEE Transactions on Software Engineering, Special Issue on Exception Handling, March/April 2010, 162-183.

Lester, K., Howell, S., Matson, R., Furlan, E., Gnilka, C., Littlefield, C., Ciardi, D., Everett, M., Fajardo-Acosta, S., & Clark, C. (2023) "Visual Orbits and Alignments of Planet-hosting Binary Systems", The Astronomical Journal, 166, 166

Received a grant from the National Science Foundation (NSF) for “Collaborative Research: Developing Biology Undergraduates’ Scientific Literacy and Identity Through Peer Review of Scientific Manuscripts,” under the IUSE (Improving Undergraduate STEM Education: Education and Human Resources) program. The project is for three years.

Was featured by the journal Trends in Microbiology as an .

McDowell, G.S., Fankhauser, S., Saderi, D., Balgopal, M. and Lijek, R.S. (2022), Use of preprint peer review to educate and enculturate science undergraduates. Learned Publishing, 35, 405-412.

Dresler M, Aries O, Fallman E, Farrukh R, Guzman-Rubalcaba S, Shrum V, Wang R, Yin S, & Lijek RS. (2022). A Rubric to Evaluate Preprint Peer Reviews. Zenodo.