Data visualisations: drawing actionable insights from science and technology data
1 like1,523 views
The document discusses the importance of data visualization in elucidating trends and developments in science and technology. It highlights various research collaborations, visualization methodologies, and projects aimed at mapping scientific knowledge production globally. Additionally, it outlines a course framework for teaching information visualization, featuring topics such as workflow design and hands-on data analysis and visualization techniques.
Data visualisations: drawing actionable insights from science and technology data
- 1. Data Visualizations: Drawing Actionable Insights from Science and Technology Data Katy Börner Victor H. Yngve Professor of Information Science Director, Cyberinfrastructure for Network Science Center School of Informatics and Computing and Indiana University Network Science Institute Indiana University, USA European Food Safety Authority (EFSA) Scientific Conference: Shaping the Future of Food Safety, Together Milan, Italy October 14-16, 2015 Olivier H. Beauchesne, 2011. Map of Scientific Collaborations from 2005-2009.
- 2. Olivier H. Beauchesne, 2011. Map of Scientific Collaborations from 2005-2009.
- 3. Analyzing and Visualizing Science and Technology Trends and Developments 3
- 4. Find your way Find collaborators, friends Identify trends Terra bytes of data Descriptive & Predictive Models 4
- 5. 5 Mapping the Evolution of Co-Authorship Networks Ke, Visvanath & Börner. 2004. Won 1st prize at the IEEE InfoVis Contest.
- 6. 6 Mapping the Evolution of Co-Authorship Networks Ke, Visvanath & Börner. 2004. Won 1st prize at the IEEE InfoVis Contest.
- 7. Research Collaborations by the Chinese Academy of Sciences Huang, Duhon, Hardy & Börner 7
- 8. Compare R01 investigator-based funding with TTURC Center awards in terms of number of publications and evolving co-author networks. Stipelman, Hall, Zoss, Okamoto, Stokols, Börner, 2014. Supported by NIH/NCI Contract HHSN261200800812 Mapping Transdisciplinary Tobacco Use Research Centers Publications 8
- 9. The Global 'Scientific Food Web' Mazloumian, Amin, Dirk Helbing, Sergi Lozano, Robert Light, and Katy Börner. 2013. "Global Multi-Level Analysis of the 'Scientific Food Web'". Scientific Reports 3, 1167. http://cns.iu.edu/docs/publications/2013-mazloumian-food-web.pdf Contributions: Comprehensive global analysis of scholarly knowledge production and diffusion on the level of continents, countries, and cities. Quantifying knowledge flows between 2000 and 2009, we identify global sources and sinks of knowledge production. Our knowledge flow index reveals, where ideas are born and consumed, thereby defining a global ‘scientific food web’. While Asia is quickly catching up in terms of publications and citation rates, we find that its dependence on knowledge consumption has further increased. 9
- 10. 10
- 11. Bollen, Johan, Herbert Van de Sompel, Aric Hagberg, Luis M.A. Bettencourt, Ryan Chute, Marko A. Rodriquez, Lyudmila Balakireva. 2008. A Clickstream Map of Science. 11
- 12. Science Phylomemy - David Chavalarias and Jean-Philippe Cointet - 2013
- 13. Council for Chemical Research. 2009. Chemical R&D Powers the U.S. Innovation Engine. Washington, DC. Courtesy of the Council for Chemical Research. 13
- 14. Ward Shelley . 2011. History of Science Fiction. 14
- 15. Language Communities of Twitter - Eric Fischer - 2012 15
- 16. PREDICT: HealthMap - John Brownstein, Damien Joly, William Karesh, Peter Daszak, Nathan Wolfe, Tracey Goldstein, Susan Aman, Clark Freifeld, Sumiko Mekaru, Tammie O'Rourke, Stephen Morse, Christine Kreuder Johnson, Jonna Mazet, and the PREDICT Consortium - 2014
- 17. Impact of Air Travel on Global Spread of Infectious Diseases - Vittoria Colizza, Alessandro Vespignani - 2007
- 18. Logicland Participative Global Simulation - Michael Ashauer, Maia Gusberti, Nik Thoenen - 2002
- 19. Visualization Frameworks Places & Spaces: Mapping Science Exhibit, online at http://scimaps.org
- 20. 20
- 21. 21 Places & Spaces Exhibit at the David J. Sencer CDC Museum, Atlanta, GA January 25-June 17, 2016
- 22. Illuminated Diagram Display on display at the Smithsonian in DC. http://scimaps.org/exhibit_info/#ID 22
- 23. 23
- 24. 24
- 25. Science Maps in “Expedition Zukunft” science train visiting 62 cities in 7 months 12 coaches, 300 m long Opening was on April 23rd, 2009 by German Chancellor Merkel http://www.expedition-zukunft.de 25
- 26. Places & Spaces Digital Display in North Carolina State’s brand new Immersion Theater 26
- 27. Ingo Gunther's Worldprocessor globe design on display at the Giant Geo Cosmos OLED Display at the Museum of Emerging Science and Innovation in Tokyo, Japan 27
- 31. Tasks 31
- 32. Course Schedule Part 1: Theory and Hands-On • Session 1 – Workflow Design and Visualization Framework • Session 2 – “When:” Temporal Data • Session 3 – “Where:” Geospatial Data • Session 4 – “What:” Topical Data Mid-Term • Session 5 – “With Whom:” Trees • Session 6 – “With Whom:” Networks • Session 7 – Dynamic Visualizations and Deployment Final Exam Part 2: Students work in teams on client projects. Final grade is based on Class Participation (10%), Midterm (30%), Final Exam (30%), and Client Project(30%). 32
- 33. Needs-Driven Workflow Design Stakeholders Data READ ANALYZE VISUALIZE DEPLOY Validation Interpretation Visually encode data Overlay data Select visualiz. type Types and levels of analysis determine data, algorithms & parameters, and deployment
- 34. Needs-Driven Workflow Design Stakeholders Data READ ANALYZE VISUALIZE DEPLOY Validation Interpretation Visually encode data Overlay data Select visualiz. type Types and levels of analysis determine data, algorithms & parameters, and deployment
- 35. Load One File and Run Many Analyses and Visualizations 35 Times Cited Publication Year City of Publisher Country Journal Title (Full) Title Subject Category Authors 12 2011 NEW YORK USA COMMUNICATI ONS OF THE ACM Plug-and-Play Macroscopes Computer Science Borner, K 18 2010 MALDEN USA CTS-CLINICAL AND TRANSLATIONA L SCIENCE Advancing the Science of Team Science Research & Experimental Medicine Falk-Krzesinski, HJ|Borner, K|Contractor, N|Fiore, SM|Hall, KL|Keyton, J|Spring, B|Stokols, D|Trochim, W|Uzzi, B 13 2010 WASHINGTON USA SCIENCE TRANSLATIONA L MEDICINE A Multi-Level Systems Perspective for the Science of Team Science Cell Biology |Research & Experimental Medicine Borner, K|Contractor, N|Falk- Krzesinski, HJ|Fiore, SM|Hall, KL|Keyton, J|Spring, B|Stokols, D|Trochim, W|Uzzi, B
- 36. Load One File and Run Many Analyses and Visualizations 36 Times Cited Publication Year City of Publisher Country Journal Title (Full) Title Subject Category Authors 12 2011 NEW YORK USA COMMUNICATI ONS OF THE ACM Plug-and-Play Macroscopes Computer Science Borner, K 18 2010 MALDEN USA CTS-CLINICAL AND TRANSLATIONA L SCIENCE Advancing the Science of Team Science Research & Experimental Medicine Falk-Krzesinski, HJ|Borner, K|Contractor, N|Fiore, SM|Hall, KL|Keyton, J|Spring, B|Stokols, D|Trochim, W|Uzzi, B 13 2010 WASHINGTON USA SCIENCE TRANSLATIONA L MEDICINE A Multi-Level Systems Perspective for the Science of Team Science Cell Biology |Research & Experimental Medicine Borner, K|Contractor, N|Falk- Krzesinski, HJ|Fiore, SM|Hall, KL|Keyton, J|Spring, B|Stokols, D|Trochim, W|Uzzi, B Co-author and many other bi-modal networks.
- 37. Course Schedule Part 1: Theory and Hands-On • Session 1 – Workflow Design and Visualization Framework • Session 2 – “When:” Temporal Data • Session 3 – “Where:” Geospatial Data • Session 4 – “What:” Topical Data Mid-Term • Session 5 – “With Whom:” Trees • Session 6 – “With Whom:” Networks • Session 7 – Dynamic Visualizations and Deployment Final Exam Part 2: Students work in teams on client projects. Final grade is based on Class Participation (10%), Midterm (30%), Final Exam (30%), and Client Project(30%). 37
- 38. See page 24 Visualization Framework
- 40. 40See page 24 Visualization Framework
- 41. 41
- 42. 42
- 43. Register for free: http://ivmooc.cns.iu.edu. Class restarts Jan 12, 2016.
- 44. References Börner, Katy, Chen, Chaomei, and Boyack, Kevin. (2003). Visualizing Knowledge Domains. In Blaise Cronin (Ed.), ARIST, Medford, NJ: Information Today, Volume 37, Chapter 5, pp. 179-255. http://ivl.slis.indiana.edu/km/pub/2003- borner-arist.pdf Shiffrin, Richard M. and Börner, Katy (Eds.) (2004). Mapping Knowledge Domains. Proceedings of the National Academy of Sciences of the United States of America, 101(Suppl_1). http://www.pnas.org/content/vol101/suppl_1/ Börner, Katy (2010) Atlas of Science: Visualizing What We Know. The MIT Press. http://scimaps.org/atlas Scharnhorst, Andrea, Börner, Katy, van den Besselaar, Peter (2012) Models of Science Dynamics. Springer Verlag. Katy Börner, Michael Conlon, Jon Corson-Rikert, Cornell, Ying Ding (2012) VIVO: A Semantic Approach to Scholarly Networking and Discovery. Morgan & Claypool. Katy Börner and David E Polley (2014) Visual Insights: A Practical Guide to Making Sense of Data. The MIT Press. Börner, Katy (2015) Atlas of Knowledge: Anyone Can Map. The MIT Press. http://scimaps.org/atlas2 44
- 45. All papers, maps, tools, talks, press are linked from http://cns.iu.edu These slides are at http://cns.iu.edu/docs/presentations CNS Facebook: http://www.facebook.com/cnscenter Mapping Science Exhibit Facebook: http://www.facebook.com/mappingscience 45