Position title: Martindale-Bascom Professor of Sociology
Phone: (608) 265-2724
7101 Sewell Social Sciences
Office Hours: W 2:00-3:00 and by appointment (Spring '20)
- More Information
- Curriculum Vitae
Research Interest Statement:
Over the past five years, Fujimura has led an interdisciplinary team based at UW-Madison in the collection and analysis of data from five research sites that use or develop human genetic variation categories. The goal of the project is to examine where, when, and how group categories are used in genomics. We explore whether, and if so how, these group categories overlap with social race categories. These sites recruit human subjects for DNA studies, genotype DNA samples, and analyze the samples for disease risk, for response to medication, or for studies of genetic variation. Recent findings arising from this study – on human genetics and the use of concepts of race and ancestry, on the impact of genomics on personalized medicine and the transfer of genomics knowledge “from bench to bedside”, on work organization in large genomic interdisciplinary studies, and on other impacts of new genetic technologies– have been presented at numerous conferences and published in leading journals and anthologies on the topic of socio-historical studies of race and genomics. We are also writing two books on this topic, one oriented to policy formation, the other oriented to the socio-historical studies of science, technology, and medicine.
Over the past three years, Fujimura has led a second interdisciplinary team based at UW-Madison in the collection and analysis of data on interdisciplinary collaboration and innovation in the conduct of life sciences research and its impact on the development of knowledge in biology and medicine. The research on interdisciplinarity is not limited to the life sciences but incorporates fields such as engineering, computation, education, and also the social sciences, arts and humanities. The project is still in its data collection phase, but the project staff is beginning to write articles on the data collected thus far.
Ph.D., University of California-Berkeley, 1986
Science and Technology, Race and Ethnic Studies, Medical Sociology, Knowledge, Gender, Qualitative Methods, Organizational and Occupational Analysis, General Social Theory, Political Sociology, Culture
Soc 301 Biotechnology and Society
Soc 496 Sociological Analysis of Race Issues in Science
Soc 611 Gender, Science and Technology
Soc 901 Qualitative Data Analysis
Soc 901 Sociological Analysis of Research on Race and Genetics
Soc 922 Researching Race: Current Questions and Controversies
STS 901 Science, Technology and Medicine in Society
Other Campus Affiliations:
Fujimura, Joan H, and Christopher J. Holmes. 2019. Staying the Course: On the Value of Social Studies of Science in Resistance to the “Post-Truth” Movement. Sociological Forum. https://doi.org/10.1111/socf.12545
Fujimura, Joan H. 2018. Variations on a Chip: Technologies of Difference in Human Genetics Research, Journal of the History of Biology 51(4):841-873. DOI.10.1007/s10739-018-9543-x
Rajagopalan Ramya., Nelson Alondra, Fujimura Joan H. 2016. Race and Science in the Twenty-First Century. In The Handbook of Science and Technology Studies edited by Ulrike Felt, Rayvon Fouché, Clark A. Miller, and Laurel Smith-Doerr. Cambridge, MA: MIT Press, p.349-378.
Fujimura, Joan H. 2015. “A Different Kind of Association between Socio-Histories and Health.” British Journal of Sociology 66(1): 58-67.
Fujimura, Joan H., Deborah A. Bolnick, Ramya Rajagopalan, Jay S. Kaufman, Richard C. Lewontin, Troy Duster, Pilar Ossorio, and Jonathan Marks. 2014. “Clines without Classes: How to Make Sense of Human Variation.” Sociological Theory 32(3): 208-27.
Rajagopalan, Ramya., and Joan H. Fujimura. 2012. “Making History via DNA, Making DNA from History: Deconstructing the Race-Disease Connection in Admixture Mapping” In Genetics and the Unsettled Past: The Collision between DNA, Race, and History edited by Keith Wailoo, Catherine Lee, and Alondra Nelson. New Brunswick, NJ: Rutgers University Press.
Rajagopalan, Ramya., and Joan H. Fujimura. 2012.”Medicine and Society: Will Personalized Medicine Challenge or Reify Categories of Race and Ethnicity?” AMA Virtual Mentor 14(8): 657-664.
Fujimura., Joan H. 2011. “Technobiological Imaginaries: How Do Systems Biologists Know Nature?” In Knowing Nature: Conversations at the Intersection of Political Ecology and Science Studies edited by Mara J. Goldman, Paul Nadasdy, and Matthew D. Turner. Duke University Press.
Calvert, Jane., and Joan H. Fujimura. 2011.”Calculating life? Duelling discourses in interdisciplinary systems biology.” Studies in History and Philosophy of Biological and Biomedical Sciences 42: 115-163.
Rajagopalan, Ramya., and Joan H. Fujimura. 2011. “Different differences: The use of ‘genetic ancestry’ versus race in biomedical human genetic research.”Social Studies of Science 41(1):5-30 (Winner, 2013 David Edge Prize from the Society for Social Studies of Science (4S) for best article of the year in the area of science and technology studies)
Rajagopalan, Ramya., Pilar Ossorio, Kjell Doksum, and Joan H. Fujimura. 2010. “Race and Ancestry: Operationalizing Populations in Human Genetic Variation Studies” In What’s the Use of Race? Modern Governance and the Biology of Difference edited by Ian Whitmarsh and David S. Jones (eds.), Cambridge, MA: MIT Press
Calvert, Jane., and Joan H. Fujimura. 2009. “Calculating life? A sociological perspective on systems biology.” EMBO reports 10:S46-S49.
Duster, Troy., and Joan H. Fujimura. 2008. Special Issue on Race, Genomics, and Biomedicine. Social Studies of Science 38(5).
Rajagopalan, Ramya., Joan H. Fujimura, and Troy Duster. 2008. “Race, Genetics, and Disease: Questions of Evidence, Matters of Consequence.” Social Studies of Science 38(5). 643–656.
Fujimura, Joan H., Troy Duster, Richard S. Cooper, Deborah A. Bolnick, Duana Fullwiley, Jonathan Kahn, Jay S. Kaufman, Jonathan Marks, Ann Morning, Alondra Nelson, Pilar Ossoriom JEanny Reardon, Susan M. Reverby, and Kimberly Tallbear. 2007. “The Science and Business of Genetic Ancestry Testing.” Science 318: 399-400.
Fujimura, Joan H. 2006. “‘Sex Genes’: A Critical Socio-Material Approach to the Politics and Molecular Genetics of Sex Determination.” Signs: Journal of Women in Culture and Society 32(1).
Fujimura, Joan H. 2005. “Postgenomic futures: translations across the machine-nature border in systems biology.” New Genetics and Society 24(2): 195-225.
Fujimura, Joan H. 2003. “Future Imaginaries: Genome Scientists as Socio-Cultural Entrepreneurs.” Pp. 176-199 in Genetic Nature/Culture: Anthropology and Science Beyond the Two Culture Divide edited by Alan Goodman, Deborah Heath, Susan Lindee. Berkeley: University of California Press.
Fujimura, Joan H. 1999. “The Practices and Politics of Producing Meaning in the Human Genome Project,” Sociology of Science Yearbook 21(1): 49-87.
Fujimura, Joan H. 1998. “Authorizing Knowledge in Science and Anthropology.” American Anthropologist, New Series 100(2): 347-360
Fujimura, Joan H. 1996. Crafting Science: A Sociohistory of the Quest for the Genetics of Cancer. Cambridge, MA: Harvard University Press.
Fujimura, Joan H., and Danny Y. Chou. 1994. “Dissent in Science: Styles of Scientific Practice and the Controversy Over the Cause of AIDS.” Social Science & Medicine 38(8): 1017-1036.
Fujimura, Joan H., and Adele E. Clarke. 1992. The Right Tools for the Job: At Work in Twentieth Century Life Sciences. Princeton: Princeton University Press.
Fujimura, Joan H. 1991. “On Methods, Ontologies, and Representation in the Sociology of Science: Where Do We Stand?” Pp. 207-248 in Social Organization and Social Process: Essays in Honor of Anselm L. Straus edited by David Maines. Hawthorne, NY: Aldine de Gruyter.
Fujimura, Joan H. 1988. “The Molecular Biological Bandwagon in Cancer Research: Where Social Worlds Meet.” Social Problems 35(3):261-283.
Fujimura, Joan H. 1987. “Constructing ‘Do-Able’ Problems in Cancer Research: Articulating Alignment.” Social Studies of Science 17(2): 257-293.
Qualitative methods: Ethnography and Grounded theory analysis