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Szafir, Danielle N Albers Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Szafir's research bridges data science, information visualization, and visual cognition to model the kinds of information people intuitively extract from data visualizations. Through this process, she derives quantified insight into the role of perception in interpreting visualizations and other visual interfaces by gauging how real viewers in natural environments perceive encoded information. She uses these models to develop novel interactive systems that support more accurate data exploration at dramatically larger scales than previously possible. The resulting systems address research problems across a variety of domains, including genomics, proteomics, biochemistry, and the humanities. Her work also extends these practices to novel interface technologies to generate a foundational understanding of effective application design grounded in human perception and cognition.

keywords

  • information visualization, perceptual computing, augmented reality, human-computer interaction, exploratory data analysis, visual cognition, color science, crowdsourcing, digital humanities, bioinformatics

Publications

selected publications

Teaching

courses taught

  • INFO 3401 - Information Exploration
    Primary Instructor - Fall 2018
    Teaches students how to use information to identify interesting real world problems and to generate insight. Students will learn to find, collect, assemble and organize data to inspire new questions, make predictions, generate deliverables, and work towards solutions. They will learn to appropriately apply different methods (including computational, statistical and qualitative) for exploratory data analysis in a variety of domains.
  • INFO 4602 - Mastery in Information Science: Information Visualization
    Primary Instructor - Spring 2018 / Fall 2019
    Explores the design, development and evaluation of information visualizations. Covers visual representations of data and provides hands-on experience with using and building exploratory tools and data narratives. Students create visualizations for a variety of domains and applications, working with stakeholders and their data. Covers interactive systems, user-centered and graphic design, perception, data storytelling and analysis, and insight generation. Programming knowledge is strongly encouraged. Same as INFO 5602.
  • INFO 5602 - Mastery in Information Science: Information Visualization
    Primary Instructor - Spring 2018 / Fall 2019
    Explores the design, development and evaluation of information visualizations. Covers visual representations of data and provides hands-on experience with using and building exploratory tools and data narratives. Students create visualizations for a variety of domains and applications, working with stakeholders and their data. Covers interactive systems, user-centered and graphic design, perception, data storytelling and analysis, and insight generation. Programming knowledge is strongly encouraged. Same as INFO 4602.

Background

International Activities

Other Profiles

Github

  • dnszafir