Projects and Grants per year
Personal profile
Education/Academic qualification
Doctor of Philosophy, University Of Pittsburgh
2015
Master of Arts, University Of Pittsburgh
2011
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Dive into the research topics where Julia Bursten is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration from the last 5 years on country level. Dive into details by clicking on the dots.
Projects & Grants
- 3 Finished
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RII Track-4: NSF: Constructing an Epistemology of Agricultural Science
Bursten, J. (PI)
2/1/22 → 1/31/24
Project: Research project
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Host a regional Philosophy of Science conference, building on last year's funding- "OVPR CURATE Program"
Bursten, J. (PI)
Office of the Vice President for Research
5/1/18 → 4/30/19
Project: Research project
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Building a Regional Network for Philosophy of Science- "OVPR CURATE Program"
Bursten, J. (PI)
Office of the Vice President for Research
5/1/17 → 4/30/18
Project: Research project
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Promises and Perils of Big Data: Philosophical Constraints on Chemical Ontologies
Duke, R., McCoy, R., Risko, C. & Bursten, J. R. S., May 1 2024, In: Journal of the American Chemical Society. 146, 17, p. 11579-11591 13 p.Research output: Contribution to journal › Review article › peer-review
1 Scopus citations -
Multiscale Modeling in Neuroethology: The Significance of the Mesoscale
Bursten, J. R. S. & Dhein, K., Dec 17 2023, In: Philosophy of Science. 90, 5, p. 1374-1384 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Better learning through history: using archival resources to teach healthcare ethics to science students
Bursten, J. R. S. & Strandmark, M., Sep 2021, In: European Journal for Philosophy of Science. 11, 3, 89.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Classifying and characterizing active materials
Bursten, J. R. S., Dec 2021, In: Synthese. 199, 1-2, p. 2007-2026 20 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Genetic Algorithms and Machine Learning for Predicting Surface Composition, Structure, and Chemistry: A Historical Perspective and Assessment
Roberts, J., Bursten, J. R. S. & Risko, C., Sep 14 2021, In: Chemistry of Materials. 33, 17, p. 6589-6615 27 p.Research output: Contribution to journal › Review article › peer-review
13 Scopus citations