Data Scientist

Our senior scientist for Data Science, Jozsef Arato, provides support and expertise in data modeling, and statistical analysis for the research projects carried out by the members of the Vienna CogSciHub. Interdisciplinary co-operations include, among others, joint research by Art Historians, Psychologists, Biologists, and Linguists. Currently, Jozsef develops computational models that can detect learning in eye-movement patterns. Furthermore, he is interested in the principles that guide learning and decision-making, and the modeling approaches that can uncover these underlying principles.

In weekly consultation hours (appointment by email), Jozsef provides advice related to data modeling, machine learning, and statistics for the members of the Vienna CogSciHub. These meetings aim to give advice ("Help for self-help") to principal investigators and their project staff for the analysis of already existing data sets and the design of upcoming studies. A particular focus of Jozsef's expertise is the application of Bayesian methods for generalized mixed models and time series analysis. Furthermore, these consultations intend to foster the development of interdisciplinary collaborations that bridge the groups of the Vienna CogSciHub network.

Jozsef holds a Ph.D. in Cognitive Science from the Central European University in Budapest. He also has experience in human and animal electrophysiology from research stays at the Universities of Fribourg and Hamburg. Jozsef was the Program Chair of the Pattern Recognition in Neuroimaging Summer School in 2020 (PRNI 2020) organized at the University Vienna.

Publications from Hub Collaborations

Arato, J., & Fitch, W. T. (2021). Phylogenetic signal in the vocalizations of vocal learning and vocal non-learning birds. Philosophical Transactions of the Royal Society B, 376(1836), 20200241.

Miscenà, A., Arato, J., & Rosenberg, R. (2020). Absorbing the gaze, scattering looks: Klimt’s distinctive style and its two-fold effect on the eye of the beholder. Journal of Eye Movement Research, 13(2).

Sancarlo, R., Dare, Z. D., Arato, J., & Rosenberg, R. (2020). Does pictorial composition guide the eye? Investigating four centuries of last supper pictures. Journal of Eye Movement Research, 13(2).

For all publications, please visit my scholar profile

Our Data Scientist further provides:

  • Help with analyzing, visualizing and interpreting complex scientific data from experiments
  • Assessment of the effectiveness and accuracy of new data sources and data gathering techniques
  • Development of custom scientific data models and algorithms to apply to data sets
  • Work with researchers from various disciplines to develop interdisciplinary innovative research designs, collaborate in writing national and international research grant applications
  • Cooperation and network building with diverse research groups in the University of Vienna regarding data mining, modelling, etc.

Get in touch

For Consultation Times get in touch with József Arató via e-mail.