1. VIVO A semantic web profiling system that enables collaboration and discovery among scientists across interdisciplinary networks Chin Hua Kong Sr. System Architect / Project Manager Cyberinfrastructure for Network Science Center, Department of Information and Library Science, School of Computing and Informatics kongch@indiana.edu VIVO

2. VIVO http://vivo.iu.edu http://vivo.iu.edu An open-source semantic web application that enables the discovery of research and scholarship across disciplines in an institution. Populated with detailed profiles of faculty and researchers; displaying items such as publications, teaching, service, and professional affiliations. A powerful search functionality for locating people and information within or across institutions.

3. VIVO Team Cornell University: Dean Krafft (Cornell PI), Manolo Bevia, Jim Blake, Nick Cappadona, Brian Caruso, Jon Corson-Rikert, Elly Cramer, Medha Devare, John Fereira, Brian Lowe, Stella Mitchell, Holly Mistlebauer, Anup Sawant, Christopher Westling, Rebecca Younes. University of Florida: Mike Conlon (VIVO and UF PI), Cecilia Botero, Kerry Britt, Erin Brooks, Amy Buhler, Ellie Bushhousen, Chris Case, Valrie Davis, Nita Ferree, Chris Haines, Rae Jesano, Margeaux Johnson, Sara Kreinest, Yang Li, Paula Markes, Sara Russell Gonzalez, Alexander Rockwell, Nancy Schaefer, Michele R. Tennant, George Hack, Chris Barnes, Narayan Raum, Brenda Stevens, Alicia Turner, Stephen Williams. Indiana University: Katy Borner (IU PI), William Barnett, Ryan Cobine, Shanshan Chen, Ying Ding, Chin Hua Kong, Russell Duhon, Jon Dunn, Micah Linnemeier, Nianli Ma, Brian Keese, Robert McDonald, Barbara Ann O'Leary, Mark Price, Yuyin Sun, Alan Walsh, Brian Wheeler, Angela Zoss. Ponce School of Medicine: Richard Noel (Ponce PI), Ricardo Espada, Damaris Torres. The Scripps Research Institute: Gerald Joyce (Scripps PI), Greg Dunlap, Catherine Dunn, Brant Kelley, Paula King, Angela Murrell, Barbara Noble, Cary Thomas, Michaeleen Trimarchi. Washington University, St. Louis: Rakesh Nagarajan (WUSTL PI), Kristi L. Holmes, Sunita B. Koul, Leslie D. McIntosh. Weill Cornell Medical College: Curtis Cole (Weill PI), Paul Albert, Victor Brodsky, Adam Cheriff, Oscar Cruz, Dan Dickinson, Chris Huang, Itay Klaz, Peter Michelini, Grace Migliorisi, John Ruffing, Jason Specland, Tru Tran, Jesse Turner, Vinay Varughese. VIVO

4. Network Analysis (With Whom) Co-author and co-investigator visualizations show collaboration network of a person. VIVO

5. Topical Analysis (What) Science map overlays show where a person, department, or university publishes most in the world of science. 5 VIVO

6. Topical Analysis (What) Comparison view shows distincts in knowledge invention among schools or departments. 6 VIVO

7. International Researcher Network (iNRN) Geospatial Analysis (Where) A global search application for discovering available research resources at the world scale? http://nrn.cns.iu.eduhttp://nrn.cns.iu.edu

8. VIVO Book Tank, ChintanTank, Chintan, Micah Linnemeier, Chin Hua Kong, and Katy Börner. 2012. "Analyzing and Visualizing VIVO". In VIVO: A Semantic Approach to Scholarly Networking and Discovery, edited by Börner, Katy, Mike Conlon, Jon Corson-Rikert, and Ying Ding, Ch. 7. Morgan & Claypool Publishers LLC.Chin Hua KongKaty Börner "Analyzing and Visualizing VIVO"Börner, Katy

9. CyberInfrastructure Shell: A Plug-and-Play Macroscopes Framework Chin Hua Kong Sr. System Architect / Project Manager Cyberinfrastructure for Network Science Center (CNS), Department of Information and Library Science (ILS), School of Computing and Informatics kongch@indiana.edu CIShell Watch the video

10. Microscopes Telescopes Macroscopes 10 Macroscopes Decision making in science, industry, and politics, as well as in daily life, requires that we make sense of datasets representing the structure and dynamics of complex systems Macroscopes provide a vision of the whole, helping us synthesize the related elements and enabling us to detect patterns, trends, and outliers while granting access to myriad details Rather than making things larger or smaller, macroscopes let us observe what is too great, slow, or complex for the human eye and mind to notice and comprehend CIShell

11. TEXTrend NWB EpiC Sci2  Common algorithm/tool pool  Easy way to share new algorithms  Instantly create a custom tool  Workflow export and rerun  Auto conversion into web service Future IS CS Bio SNA Phys 11 CNS.IU.EDU, CIShell.org CIShell Plug-and-Play Macroscopes CIShell

12. CIShell-Powered Tools http://cishell.org http://cishell.org Network Workbench Tool (NWB) The study of biomedical, social and behavioral science, physics, and other networks Science of Science Tool (Sci2) For science policy makers and researchers to study scientometrics, impacts, and trends in funding, publications, etc. TexTrend Tool A trend- and text-analysis tool that supports business and governmental decision making Epidemic Tool (EpiC) Analysis, modeling, and visualization of data streams such as diffusion patterns of the H1N1 virus over geographic space DynaNets The study of evolving networks by University of Amsterdam, The Netherlands SISOB An Observatory for Science in Society Based in Social Models by nine consortium members

13. Network Workbench Tool http://nwb.cns.iu.edu http://nwb.cns.iu.edu The Network Workbench (NWB) tool supports researchers, educators, and practitioners interested in the study of biomedical, social and behavioral science, physics, and other networks. In February 2009, the tool provides more 169 plugins that support the preprocessing, analysis, modeling, and visualization of networks. More than 50 of these plugins can be applied or were specifically designed for S&T studies. Börner, Katy, Huang, Weixia (Bonnie), Linnemeier, Micah, Duhon, Russell Jackson, Phillips, Patrick, Ma, Nianli, Zoss, Angela, Guo, Hanning & Price, Mark. (2010). Rete-Netzwerk-Red: Analyzing and Visualizing Scholarly Networks Using the Network Workbench Tool. Scientometrics. Vol. 83(3), 863-876. 8 NWB

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15. 9 User Interface NWB

16. 9 Visualization Example NWB