MAXQDA Tailwind Das jüngste Mitglied unserer KI Produktfamilie

MAXQDA Professional Trainer:
Claudia von Vacano

 
Sprache Englisch, Spanisch
Ort Berkeley (California, USA)
Workshop-Angebot

Standard Workshops

  • Starter Workshops
  • Advanced Workshops

 

Method-Focused Workshops

  • Visualizations
  • Qualitative Evaluation
  • Mixed Methods
Methodenwissen
  • Program evaluation
  • Qualitative methods
  • Research design
  • Text analysis
  • Interviewing analysis
  • Digital humanities
  • Data science
Consulting/Beratung

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

Trainerdetails

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.

Veröffentlichungen

 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.

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


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