Education
Ph.D. Neuroscience, University of Wisconsin-Madison, 2009
B.S. Genetics, University of Wisconsin-Madison, 2003
Research
Research Fields: Scientific Portfolio Analysis, Bibliometrics, Science-of-Science
Methods and Methodologies: Machine Learning, Network Analysis, Natural Language Processing, Informatics
Areas of Interest: Scientific Advance, Bench-to-Bedside Translation, Science Policy
Classes Taught
LIS 706 Data Mining
LIS 705 Introductory Analytics for Decision Making
LIS 461 Data and Algorithms: Ethics and Policy
LIS 341 Data Science for Everyone
Recent Publications
Hutchins, B Ian. “A tipping point for open citation data.” Quantitative Science Studies vol. 2(2):00138 Jul. 2021, doi:10.1162/qss_c_00138
Hutchins, B Ian et al. “Predicting translational progress in biomedical research.” PLoS biology vol. 17,10 e3000416. 10 Oct. 2019, doi:10.1371/journal.pbio.3000416
Hoppe, Travis A et al. “Topic choice contributes to the lower rate of NIH awards to African-American/black scientists.” Science advances vol. 5,10 eaaw7238. 9 Oct. 2019, doi:10.1126/sciadv.aaw7238
Hutchins, B Ian et al. “The NIH Open Citation Collection: A public access, broad coverage resource.” PLoS biology vol. 17,10 e3000385. 10 Oct. 2019, doi:10.1371/journal.pbio.3000385
Hutchins, B Ian et al. “Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level.” PLoS biology vol. 14,9 e1002541. 6 Sep. 2016, doi:10.1371/journal.pbio.1002541
Website
Hutchins Lab website:
https://hutchinslab.github.io
The Hutchins Lab is also a member of the larger UW-Madison MetaScience Research Lab:
https://www.metascience-lab.com/