Prof. Dr. Anelis Kaiser Trujillo

University of Freiburg
Gender Studies

Internal Senior Fellow
October 2021 – July 2022

Website

E-Mail: anelis.kaiser@tf.uni-freiburg.de

Last Update: 31.08.2022

Curriculum Vitae

Since 04/2017 Professor for Gender Studies in MINT at the Department of Computer Science, Faculty of Engineering at the University of Freiburg
2013 – 2016 Marie Heim-Voegtlin fellow (Title of project “Multi-Scale Battery of Femaleness and Maleness to Examine Language Processing and its Plasticity in Structure and Function of the Brain”. Funder: Swiss National Foundation) at the Department of Social Psychology and Social Neuroscience, Institute of Psychology, University of Bern, Switzerland
2012 Interim professor for Cognitive Science and Gender Research at the Center for Cognitive Science, University of Freiburg, Germany
2010 – 2012 Visiting professor at the Institute of Pedagogical Psychology / Centre for Interdisciplinary Women’s and Gender Studies, Technical University of Berlin, Germany
2010 Foundation of the international network NeuroGenderings: Critical Studies of the Sexed Brain
2008 – 2009 Visiting scholar at the Centre for Gender Research, Uppsala University, Sweden (Cooperation with members of the GenNa programme)
2007 – 2010 Researcher at (Project Gender and Science) at the Center for Gender Studies, University of Basel, Switzerland
2005 – 2006 Visiting PhD student at BIOS (Multidisciplinary Research Centre in Bioscience, Biomedicine, Biotechnology and Society), London School of Economics and Political Science (LSE), London, England (Funder: Swiss National Science Foundation)
2005 Researcher at the Institute of Informatics and Society, University of Freiburg, Germany
2002 – 2005 Researcher at interdisciplinary research project The Multilingual Brain, Department of Neuroanatomy, Institute of Anatomy, University of Basel, Switzerland
2002 – 2005 Graduate student in the Postgraduate Programme Science “Gender” – Symbolic Order, University of Basel, Switzerland

Selected Publications

Fitsch, H., Kaiser Trujillo, A., Plümecke, T. (2021). Sex/Gender in the Brain: Politics ofNeuroscience. Journal Science for the People. Bio-Politics, volume: 23, issue: 3
Kaiser, A., Eppenberger, L., Kuenzli, E., Borgwardt, S., Radue, E.W., … Bendfeldt, K. (2015). Ageof second language acquisition in multilinguals has an impact on grey matter volume inlanguage-associated brain areas. Frontiers in Psychology, 6, 638.
Schellenberg, D. & Kaiser, A. (2017). The sex/gender distinction: Beyond F and M. In C. Travis & J. W. White (Eds.), APA Handbook of the Psychology of Women (pp 165-187). Washington,DC: American Psychological Association.
Joel, D., Kaiser, A., Richardson, S., Ritz, S., Roy, D., and Subramaniam, B. (2015). Lab Meeting: A Discussion on experiments and experimentation. Catalyst: Feminism, Theory, Technoscience,1(1), 1-12. www.catalystjournal.org
Bryant, K., Grossi, G., Kaiser, A. (2019). Feminist Interventions on the Sex/Gender Question in Broca’s Area. The Scholar & Feminist Online; published by the Barnard Center for research onwomen.

FRIAS Project

Sex/Gender in Computer-Based Neuroscience: The Role of Big Data

This research project is the continuation of a project that examines whether and how novel approaches in data processing and computer-based neuroscience contribute to answering the question of neurobiological sex/gender differences and similarities. This project includes the disciplines of gender studies, cognitive science, MRI-neuroscience and computer science, disciplines hampered by their different – and sometimes even antagonistic – understandings of knowledge production. By applying several approaches, I aim to bridge this interdisciplinary gap. In the 10-months research project presented here, two detected research shortcomings, sex/gender as a co-variate and the overproduction of sex/gender differences, will be furtherdeveloped. The shortcoming of sex/gender as a co-variate will be addressed by a quantitative meta-analysis, more specifically, an activation likelihood estimation meta-analysis (A). The second shortcoming, the overproduction of sex/gender differences, will be explored by the calculation of a “correction factor” (B). Furthermore, at a neuro-empirical level, a new tool, the ultra-fast technique MR-encephalography, will be applied to examine whether this dynamic method differs from rather “static” techniques showing bilateral functional activation for women and a lateral activation patterns for men (C). Lastly, the role of “big data” against the backdrop of sex/gender in neuroscience will be examined because the paradigmatic change we are facing in neuroscience – from small to large data – holds interesting possibilities for the examination of sex/gender in neuroscience.