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Digital Humanities Initiative

The CUNY Digital Humanities Initiative (CUNY DHI), launched in Fall 2010, aims to build connections and community among those at CUNY who are applying digital technologies to scholarship and pedagogy in the humanities. All are welcome: faculty, students, and technologists, experienced practitioners and beginning DHers, enthusiasts and skeptics.

We meet regularly on- and offline to explore key topics in the Digital Humanities, and share our work, questions, and concerns. See our blog for more information on upcoming events (it’s also where we present our group’s work to a wider audience). Help edit the CUNY Digital Humanities Resource Guide, our first group project. And, of course, join the conversation on the Forum.

Photo credit: Digital Hello by hugoslv on sxc.hu.

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Visualization Talk: Ben Schneiderman – 4/20 @ Science Center

  • Posted by Hannah Aizenman on April 14, 2016 at 1:57 pm

    While this talk is hosted by the Computer Science Department, Ben Schneiderman gives really accessible talks and is one of the founders of the field of Human Computer Interaction. And he is a CCNY(undergrad) and SUNY(phd) alum.

    Data Visualization Seminar
    Wednesday April 20th, 2016
    2:15pm
    Science Center – Room 4102

    BEN SCHNEIDERMAN
    University of Maryland – College Park

    INTERACTIVE VISUAL DISCOVERY IN EVENT ANALYTICS: ELECTRONIC HEALTH RECORDS AND OTHER APPLICATIONS

    Abstract:

    Event Analytics is rapidly emerging as a new topic to extract insights from the growing set of temporal event sequences that come from medical histories, e-commerce patterns, social media log analysis, cybersecurity threats, sensor nets, online education, sports, etc. This talk reviews our decade of research on visualizing and exploring temporal event sequences to view compact summaries of thousands of patient histories represented as time-stamped events, such as strokes, vaccinations, or admission to an emergency room. Our current work on EventFlow (www.cs.umd.edu/hcil/eventflow) supports point events, such as heart attacks or vaccinations and interval events such as medication episodes or long hospitalizations. Demonstrations cover visual interfaces to support hospital quality control analysts who ensure that required procedures were carried out and clinical researchers who study treatment patterns that lead to successful outcomes. I show how domain-specific knowledge and problem-specific insights can lead to sharpening the analytic focus so as to enable more successful pattern and anomaly detection.

    Bio:

    BEN SCHNEIDERMAN (http://www.cs.umd.edu/~ben) is a Distinguished University Professor in the Department of Computer Science, Founding Director (1983-2000) of the Human-Computer Interaction Laboratory (http://www.cs.umd.edu/hcil/) and a Member of the UM Institute for Advanced Computer Studies (UMIACS) at the University of Maryland. He is a Fellow of the AAAS, IEEE, and NAI, and a Member of the National Academy of Engineering, in recognition of his pioneering contributions to human-computer interaction and information visualization. His contributions include the direct manipulation concept, clickable highlighted web-links, touchscreen keyboards, dynamic query sliders for Spotfire, development of treemaps, novel network visualizations for NodeXL, and temporal event sequence analysis for electronic health records.

    Ben is the co-author with Catherine Plaisant of Designing the User Interface: Strategies for Effective Human-Computer Interaction (6th ed., 2016) http://www.awl.com/DTUI/ . With Stu Card and Jock Mackinlay, he co-authored Reading in Information Visualization: Using Vision to Think (1999). His book Leonardo’s Laptop (MIT Press) won the IEEE book award for Distinguished Literary Contribution. He co-authored, Analyzing Social Media with NodeXL (www.codeplex.com/nodexl) (Morgan Kaufman) with Derek Hansen and Marc Smith. Schneiderman’s latest book is The New ABCs of Research: Achieving Breakthrough Collaborations (Oxford, February 2016).

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