MAXQDA Tailwind The latest member of our AI product family

MAXQDA Professional Trainer:
Claudia von Vacano

 
Language(s) English, Spanish
Location Berkeley (California, USA)
Workshops

Standard Workshops

  • Starter Workshops
  • Advanced Workshops

 

Method-Focused Workshops

  • Visualizations
  • Qualitative Evaluation
  • Mixed Methods
Methodological Expertise
  • Program evaluation
  • Qualitative methods
  • Research design
  • Text analysis
  • Interviewing analysis
  • Digital humanities
  • Data science
Consulting Services

Consulting services available for research design, coding, and analysis for academic research and program evaluation.

Experience

I have a Ph.D. in educational policy, organizational theory and behavior, measurement, and evaluation and a Master's degree in learning design and technology from Stanford, including interface design, user experience, and language acquisition. I have been using QDA’s for 6 years and MaxQDA for 3 years.  I am the executive director of the Social Science D-Lab and Digital Humanities at UC Berkeley.

Relevant Publications

 Kennedy, C., Bacon, G., Sahn A., von Vacano, C. (In preparation). Integrating Ordinal, Multitask Deep Learning with Faceted Item Response Theory. https://arxiv.org/abs/2009.10277

 von Vacano, C., Muzzall, E., Anderson, A.G., Reeve, J., van Nuenen, T. (2020). Building STEAM for DH and Electronic Literature: An Educational Approach to Nurturing the STEAM Mindset in Higher Education. Electronic Book Review, October 4, 2020. https://doi.org/10.7273/y68f-7313

Sachdeva, P. S., Barreto, R., von Vacano, C., & Kennedy, C. J. (2022, June).
Assessing annotator identity sensitivity via item response theory: A case study in a hate speech corpus.
In: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency.

Figueroa, C. A., Manalo-Pedro, E., Pola, S., Darwish, S., Sachdeva, P., Guerrero, C., ... & Kennedy, C. J. (2023).
The stories about racism and health: the development of a framework for racism narratives in medical literature using a computational grounded theory approach.
In: International journal for equity in health, 22(1), 265.

Sachdeva, P., Barreto, R., Bacon, G., Sahn, A., Von Vacano, C., & Kennedy, C. (2022, June).
The measuring hate speech corpus: Leveraging rasch measurement theory for data perspectivism.
In: Proceedings of the 1st Workshop on Perspectivist Approaches to NLP@ LREC2022.

Kennedy, C. J., Bacon, G., Sahn, A., & von Vacano, C. (2020).
Constructing interval variables via faceted rasch measurement and multitask deep learning: a hate speech application.
In: arXiv preprint arXiv:2009.10277.

Website http://dlab.berkeley.edu/claudia-von-vacano
Email cvonvacano@berkeley.edu
LinkedIn https://www.linkedin.com/in/cvacano/


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