Managing Humanity’s Knowledge and Expertise: The InfoVis Cyberinfrastructure Katy Börner & the...

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Managing Humanitys Knowledge and Expertise: The InfoVis Cyberinfrastructure Katy Brner & the InfoVis Lab School of Library and Information Science katy@indiana.edu Mapping Humanitys Knowledge and Expertise in the Digital Domain Session Annual Meeting of the Association of American Geographers (AAG), Denver, CO, April 6, 2005. Slide 2 Circle of Life was designed by Elaine Maier 14 th Century: One person can make major contributions to many areas of science Humanitys Knowledge Human Brain use contribute Leonardo da Vinci Amount of knowledge on person can mange Slide 3 Circle of Life was designed by Elaine Maier Albert Einstein Humanitys Knowledge Human Brain use contribute 20 th Century: One person can make major contributions to a few areas of science Slide 4 Circle of Life was designed by Elaine Maier Humanitys Knowledge Human Brain use contribute 21 th Century: One person can make major contributions to a specific area of science Slide 5 Circle of Life was designed by Elaine Maier Humanitys Knowledge Human Brains use contribute 21 th Century: How to collectively contribute to all areas of science? Slide 6 Humanitys Knowledge Domain ExpertManager Slide 7 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. The problem is not how one person can access knowledge but how we can collectively access and manage humanitys knowledge. Slide 8 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Mapping Knowledge Domains Knowledge domain visualizations help answer questions such as: What are the major research areas, experts, institutions, regions, nations, grants, publications, journals in xx research? Which areas are most insular? What are the main connections for each area? What is the relative speed of areas? Which areas are the most dynamic/static? What new research areas are evolving? Impact of xx research on other fields? How does funding influence the number and quality of publications? Answers are needed by funding agencies, companies, and researchers. Slide 9 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Process of Analyzing and Mapping Knowledge Domains Review article: Brner, Katy, Chen, Chaomei, and Boyack, Kevin. (2003) Visualizing Knowledge Domains. In Blaise Cronin (Ed.), Annual Review of Information Science & Technology, Volume 37, Medford, NJ: Information Today, Inc./American Society for Information Science and Technology, chapter 5, pp. 179-255.Annual Review of Information Science & Technology, Volume 37, Topics Slide 10 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Indicator-Assisted Evaluation and Funding of Research Visualizing the influence of grants on the number and citation counts of research papers (Boyack & Brner, 2003) Slide 11 Slide 12 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Mapping Topic Bursts ( Mane & Brner, 2004) Co-word space of the top 50 highly frequent and bursty words used in the top 10% most highly cited PNAS publications in 1982-2001. Slide 13 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Mapping the Evolution of Co-Authorship Networks Won 1st price at the IEEE InfoVis Contest ( Ke, Visvanath & Brner, 2004) Slide 14 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1988 Slide 15 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1989 Slide 16 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1990 Slide 17 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1991 Slide 18 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1992 Slide 19 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1993 Slide 20 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1994 Slide 21 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1995 Slide 22 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1996 Slide 23 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1997 Slide 24 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1998 Slide 25 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 1999 Slide 26 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 2000 Slide 27 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 2001 Slide 28 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 2002 Slide 29 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 2003 Slide 30 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. 2004 Slide 31 After Stuart Card, IEEE InfoVis Keynote, 2004. U Berkeley CMU PARC U. Minnesota Georgia Tech Wittenberg Bell Labs Virginia Tech U Maryland Slide 32 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Mapping the Domain of Information Visualization Slide 33 Slide 34 Stuart Card, IEEE InfoVis Keynote, 2004. Slide 35 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Mapping Medline Papers, Genes, and Proteins Related to Melanoma Research (Boyack, Mane & Brner, 2004) Slide 36 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Opportunities and challenges for studying the structure and evolution of science Opportunities: Today, many scientific publications are available in digital form (some full text journal data sets go as far back as 120 years). We do have algorithms and computing resources to analyze and map science on a large scale. We need to utilize what we collectively know to sustain humanity. Challenges: Data access is difficult. Preservation is a big problem. Data integration, i.e., merging data from different databases, is a hot research topic as are scalable data analysis and visualization algorithms. Large datasets require powerful computing infrastructures. Data analysis and mapping to generate readable maps is unresolved. People need to learn how to use data macroscopes. Slide 37 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. InfoVis Cyberinfrastructure at IUB Slide 38 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. IVC Database (http://iv.slis.indiana.edu/db)http://iv.slis.indiana.edu/db Slide 39 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Slide 40 Slide 41 IVC Software Framework (http://iv.slis.indiana.edu/iv)http://iv.slis.indiana.edu/iv Slide 42 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Slide 43 IVC Learning Modules (http://iv.slis.indiana.edu/lm)http://iv.slis.indiana.edu/lm Slide 44 Katy Brner, Mapping Knowledge Domains & Designing an InfoVis Cyberinfrastructure. EnVISION 2005. Next Steps Collaboratively design and use a shared cyberinfrastructure of high quality databases, algorithms, and processing resources. Comparison and evaluation of existing data reduction and layout algorithms. Design and validation of highly informative and readable maps in close collaboration with geographers, designers, artists. Educate general public about new means of accessing what we collectively know. Slide 45 http://www.graphicslink.demon.co.uk/IV05/KDViz.htm