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Recent news reports stated that the National Security Agency has pursued new methods that have allowed the agency to monitor telephone and online communication, encrypted information that was thought to be virtually immune to eavesdropping. What steps can and should computer scientists take in response to this privacy threat? How will the recent revelations affect the future of cryptography—the field of encoding and decoding electronic communication and transmissions for the purposes of privacy, reliability and efficiency?
To address these questions, the Johns Hopkins University Information Security Institute will host an hour-long roundtable discussion, moderated by Anton Dahbura, interim executive director of the Information Security Institute, and Avi Rubin, the institute’s technical director. Other participants will include Johns Hopkins cyber-security experts Matthew Green, Stephen Checkoway and Giuseppe Ateniese.
The event will be streamed live at https://connect.johnshopkins.edu/jhuisicrypto/, and also will be posted online following the event.
NOTE: Seating at this public event will be limited. Members of the media who plan to cover the discussion are asked to RSVP to Phil Sneiderman, firstname.lastname@example.org.
Ben Shneiderman, University of Maryland-College Park, will present “Interactive Visual Discovery in Event Analytics: Electronic Health Records and Other Applications” as part of the Gerald M. Masson Distinguished Lecture Series. The seminar begins at 10:30 a.m. in Room B-17, Hackerman Hall, on Tuesday, March 7, 2017.
The seminar and lecture series is hosted by the Johns Hopkins Department of Computer Science, and was established in recognition of the department’s 30th anniversary. The series is named for the department’s founding chair, Gerald M. Masson, whose tenacity and visionary leadership paved the way for the department’s current success and prominence.
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 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.
Ben Shneiderman is a Distinguished University Professor in the Department of Computer Science, Founding Director (1983-2000) of the Human-Computer Interaction Laboratory, and a Member of the UM Institute for Advanced Computer Studies (UMIACS) at the University of Maryland. He is a Fellow of the AAAS, ACM, 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 Readings 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 Networks with NodeXL (2010) with Derek Hansen and Marc Smith. Shneiderman’s latest book is The New ABCs of Research: Achieving Breakthrough Collaborations (Oxford, April 2016.)
Kavli NDI provides a cross-disciplinary training platform for Postdoctoral Fellows through the support of bold research that bridges neuroscience to engineering and data science.Click here to view the flyer
The Institute for Data Intensive Engineering and Science will host the inaugural Urban Spaces in Baltimore: Data Science in the City symposium at Johns Hopkins University on Tuesday, August 27, 2019.
This event aims to bring together academic researchers and city officials to create new opportunities for research projects that benefit both groups. This symposium will establish what makes a good research question and how city officials can best use research to advance their goals and initiatives, identify current projects in progress/discussion, and create opportunities for new collaborations, with the goal that attendees will leave the event with a starting point for a new project or collaboration.Click Here to Register