INFORMATION VISUALIZATION FOR DIGITAL GOVERNMENT:
ENVISIONING STATISTICAL KNOWLEDGE NETWORKS

A one-day short course sponsored by the Joint Program in Survey Methodology


APRIL 14, 2004

Presented at the Hyatt Regency Bethesda, Bethesda, Maryland

BEN SHNEIDERMAN & CATHERINE PLAISANT
(ben@cs.umd.edu)  ;  (plaisant@cs.umd.edu)
Human-Computer Interaction Laboratory
University of Maryland, College Park, MD 20742 USA

COURSE OVERVIEW 

OBJECTIVES
Enable attendees to:

- recognize the seven types of information visualizations and which combination is best for a given problem domain.

- distinguish between scientific and information visualization
- learn guidelines for successful designs
- see demos of novel visualizations
- understand opportunities for successful visualizations

CONTENT AND BENEFITS
Information visualization has rapidly emerged as a potent technology to support human decision making. The latest generation of visual data mining tools and animated GUIs take advantage of human perceptual skills to produce striking results. This tutorial will show examples of successful uses of information visualization technology, plus recent research breakthroughs and hints of what's to come.  Our emphasis will be on examples of government statistical data sets and we will highlight the challenges of providing universally usable interface designs.


Information visualization techniques empower users to perceive important patterns in large data sets, identify areas that need further scrutiny, and make sophisticated decisions. But looking at information is only a start. Users also need to manipulate and explore the data, using real-time tools to zoom, filter, and relate the information - and undo if they make a mistake.

Information visualization tools can aid in any situation that's characterized by large amounts of multi-dimensional or rapidly changing data, e.g. demographic trends, economic data analysis, health statistics, homeland security. 

The lectures are enhanced by a large number of live demonstrations, and with time for question asking and discussion.

TARGET AUDIENCE
Information professionals who must manage, present, interpret, and explore vital databases.  Designers of advanced tools for decision support and business intelligence.

BIOGRAPHICAL SKETCHES

BEN SHNEIDERMAN
is a Professor in the Department of Computer Science Founding Director (1983-2000) of the Human-Computer Interaction Laboratory (http://www.cs.umd.edu/hcil/ ), and Member of the Institutes for Advanced Computer Studies & for Systems Research, all at the University of Maryland at College Park.  He was elected as a Fellow of the Association for Computing (ACM) in 1997 and a Fellow of the American Association for the Advancement of Science (AAAS) in 2001.  He received the ACM SIGCHI Lifetime Achievement Award in 2001.

Ben Shneiderman is the author of Designing the User Interface: Strategies for Effective Human-Computer Interaction (3rd ed. 1998) http://www.awl.com/DTUI/ .   His move into information visualization helped spawn the successful company Spotfire http://www.spotfire.com/ .  He was an advisor for www.smartmoney.com where his treemap idea was the basis for the marketmap.   He is currently an advisor for ILOG, Clockwise3D, and the HiveGroup. 

With S. Card and J. Mackinlay, he co-authored Readings in Information Visualization: Using Vision to Think (1999).  Leonardo's Laptop: Human Needs and the New Computing Technologies appeared in October 2002, and his new book with B. Bederson, The Craft of Information Visualization: Readings and Reflections, was published in April 2003.

CATHERINE PLAISANT is Associate Director of the Human-Computer Interaction Laboratory of the University of Maryland.  She earned a Doctorat d'Ingénieur degree in France in 1982 and has 15 years of experience in developing and evaluating user interfaces.  In 1988 she joined the Human-Computer Interaction Laboratory.  Since then she has been leading projects on public access information systems, digital government, home technologies, telemedicine and information visualization and exploration.

Catherine Plaisant has been an Associate Member of the University of Maryland Graduate Faculty since 1991.  She supervises computer science graduate and undergraduate students and occasionally library school and psychology students.

Dr. Plaisant has published more than 80 papers, mainly in computer science and human-computer interaction journals or proceedings. She is a Member of the Computer Science Special Editorial Board of Interacting with Computers, Butterworth-Heinemann Ltd, Oxford (1992- ), Information Visualization Journal, and the editor of the HCIL video series (1991-..).  She has been principal investigator of contracts and grants with: National Science Foundation, National Center for Health Statistics, Library of Congress, National Library of Medecine, NASA, Census,  World Bank, Hughes Network Management, General Electric, IBM, and the Maryland Dept. of Juvenile Justice.

AGENDA: INFORMATION VISUALIZATION

Session 1) The case for Information Visualization
Seven types by information visualizations (1-, 2-, 3-, multi-dimensional, temporal, tree, and network data)
Seven user tasks in processing complex data (overview, zoom, filter, details-on-demand, relate, history, and  extract)
Direct manipulation (visual representation of the objects and actions of interest and rapid, incremental, and reversible operations)
Dynamic queries, Spotfire & Dynamaps (Dynamic queries are user controlled query widgets, such as sliders and buttons, that update the result set within 100msec)
Visual Information Seeking mantra: Overview first, Zoom and filter, then Details on demand

Universal Usability
           -- Break --
Session 2) Structured data
Multidimensional and multivariate data
Temporal data visualization
Hierarchical and tree structured data 
Network information visualization
Zooming interfaces
Focus+Context vs Overview+Detail
Coordination of visualizations

SCHEDULE

WEDNESDAY, APRIL 14, 2004
8:00 - 9:00 Check-In
9:00 - 10:30 Class
10:30 - 10:45 Morning Break
10:45 - 12:15 Class
12:15 - 1:30 Lunch
1:30 - 3:00 Class
3:00 - 3:15 Afternoon Break
3:15 - 4:45 Class
   

BOOK BIBLIOGRAPHY 

Bederson, B. and Shneiderman, B., The Craft of Information Visualization: Readings and Reflections, Morgan Kaufmann Publ., San Francisco, CA (2003). http://www.mkp.com/craft

Card, S., Mackinlay, J., and Shneiderman, B., Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann Publ., San Francisco, CA (1999).

Chen, Chaomei, Information Visualisation and Virtual Environments, Springer Verlag, Berlin (1999)

Chen, Chaomei, Mapping Scientific Frontiers: The Quest for Knowledge Visualisation, Springer Verlag (2003).

Fayyad, Usama,  Grinstein, Georges and Wierse, Andreas, Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufmann Publ., San Francisco, CA (2001).

Spence, Robert, Information Visualisation, Addison-Wesley Publ. Co., Reading, MA (2001).

Tufte, Edward, The Visual Display of Quantitative Information, Graphics Press, Cheshire, CT (1983).

Tufte, Edward, Envisioning Information, Graphics Press, Cheshire, CT (1990).

Tufte, Edward, Visual Explanations, Graphics Press, Cheshire, CT (1997).

Wainer, Howard, Visual Revelations, Copernicus-Springer Verlag, New York (1997).

Ware, Colin, Information Visualization: Perception for Design, Morgan Kaufmann Publ., San Francisco, CA (1999)

Wilkinson, Leland, The Grammar of Graphics (Statistics and Computing), Springer Verlag (August 1999).

WEBSITES
InfoVis Listserv   http://www.infovis.org
Online Library of Information Visualization Environments  
http://otal.umd.edu/Olive
Univ of Maryland Human-Computer Interaction Lab  
http://www.cs.umd.edu/hcil
Information Visualization Resources    http://www.cs.man.ac.uk/~ngg/InfoViz/

LOCATION
The course will be held at the Hyatt Regency Bethesda, One Bethesda Metro Center, at Wisconsin Avenue and Old Georgetown Road in Maryland. The hotel is in the heart of Maryland's high-tech corridor, just 6 miles from downtown Washington, D.C., with convenient access to the Capital Beltway and Metro Subway. The Hyatt is accessible via the Metro Red Line at the Bethesda Metro stop.  For overnight room reservations, call the Hyatt Regency Bethesda at 301-657-1234. There is a parking garage located directly underneath the Hotel which offers both valet and self-parking. The garage is not owned or operated by the Hyatt Regency

COURSE MATERIALS
JPSM group lunches and refreshments are included in the course fee. Registrants will be provided with “The Craft of Information Visualization: Readings and Reflections”, and a course pack containing detailed course notes.

REGISTRATION
Online registration is required. JPSM Home Page: http://www.jpsm.org. Click on “JPSM Short Courses” for online registration. Confirmation of registration and instructions will be sent after the registration form has been processed. Registration is not firm until you receive a confirmation letter. Payment by credit card is required. Post registration payment should be done online using the student’s registration number. Please note registration number. The registration deadline is April 5, 2004.

CANCELLATION
Please notify JPSM as soon as possible if you need to cancel your registration. Cancellation requests should be done online. You will be fully reimbursed if you cancel by April 5, 2004. Cancellation on April 6, 2004 will require a $100 administrative fee, the remainder will be reimbursed. Cancellation on or after April 7, 2004 is subject to the full fee amount

FELLOWSHIPS
The Joint Program in Survey Methodology strives to increase the number of survey professionals from groups traditionally under-represented in the field. As part of this effort, a limited number of competitive fellowships are available to African-Americans, Latinos, Hispanic Americans, and Native American Indians for the short course.
The registrant must be a US citizen or permanent resident. The applicants should submit:

  1. A 500-word essay describing their reasons for wanting to attend this short course and how their participation will enhance their chosen career path. The essay should indicate the applicant’s background (i.e. African-American, Latino, Hispanic American, or Native American Indian).
     

  2. A recommendation written by a person knowledgeable about the applicant’s aptitude and interest in survey methodology.
     

  3. The course online registration form.

If you are applying for a fellowship, please be certain to register early. Applications are due before March 17, 2004. JPSM will evaluate the applications and inform the successful applicants by March 24, 2004. The fellowship covers the registration fee, materials to be distributed during the course and the JPSM group continental breakfasts, lunches and breaks.

JPSM CITATION PROGRAM
The citation program is built around the JPSM two-day short courses. The program is designed to provide the working professional, or student, with state of the art knowledge, current principles and practices of complex surveys and provide practical skills of day-to-day utility. Completion of the citation involves taking a semester length JPSM credit-bearing course "Fundamentals in Survey Methodology" and eight JPSM short courses, of which four must be from the core courses. For information and application materials visit the website  http://www.jpsm.umd.edu/certcitat.htm
or call 301-314-7911.

INQUIRIES
Questions for this course should be directed to the JPSM Short Course, Institute for Social Research, University of Michigan, 426 Thompson Street, Room 4050, Ann Arbor, MI 48106-1248, Phone: (800) 937-9320, Fax: (734) 764-8263, Email: jpsmshort@isr.umich.edu .

CERTIFICATE AND CITATION PROGRAMS: http://www.jpsm.umd.edu/certcitat.htm
JPSM HOME PAGE
: http://www.jpsm.org/
Click on "JPSM Short Courses" for online registration and course information.

 


Primary funding for JPSM is from the Interagency Council on Statistical Policy
JPSM Short Courses