Prof. Dr. Anelis Kaiser-Trujillo

CV

• 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 of

  Neuroscience. 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). Age

  of second language acquisition in multilinguals has an impact on grey matter volume in

  language-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 on

  women.

FRIAS Research 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.