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Data Visualizations: Drawing Actionable
Insights from Science and Technology Data
Katy Bรถrner
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.
Olivier H. Beauchesne, 2011. Map of Scientific Collaborations from 2005-2009.
Analyzing and Visualizing Science and
Technology Trends and Developments
3
Find your way
Find collaborators, friends
Identify trends
Terra bytes of data
Descriptive &
Predictive
Models
4
5
Mapping the Evolution of Co-Authorship Networks
Ke, Visvanath & Bรถrner. 2004. Won 1st prize at the IEEE InfoVis Contest.
6
Mapping the Evolution of Co-Authorship Networks
Ke, Visvanath & Bรถrner. 2004. Won 1st prize at the IEEE InfoVis Contest.
Research Collaborations by the Chinese Academy of Sciences
Huang, Duhon, Hardy & Bรถrner
7
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, Bรถrner, 2014.
Supported by NIH/NCI Contract HHSN261200800812
Mapping Transdisciplinary Tobacco Use
Research Centers Publications
8
The Global 'Scientific Food Web'
Mazloumian, Amin, Dirk Helbing, Sergi Lozano, Robert Light, and Katy Bรถrner. 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
โ€˜scientific food webโ€™.
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
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
Science Phylomemy - David Chavalarias and Jean-Philippe Cointet - 2013
Council for Chemical Research. 2009. Chemical R&D Powers the U.S. Innovation Engine.
Washington, DC. Courtesy of the Council for Chemical Research. 13
Ward Shelley . 2011. History of Science Fiction.
14
Language Communities of Twitter - Eric Fischer - 2012
15
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
Impact of Air Travel on Global Spread of Infectious Diseases - Vittoria Colizza, Alessandro Vespignani - 2007
Logicland Participative Global Simulation - Michael Ashauer, Maia Gusberti, Nik Thoenen - 2002
Visualization Frameworks
Places & Spaces: Mapping Science Exhibit, online at http://scimaps.org
20
21
Places & Spaces Exhibit at the David J. Sencer CDC Museum, Atlanta, GA
January 25-June 17, 2016
Illuminated Diagram Display
on display at the Smithsonian in DC.
http://scimaps.org/exhibit_info/#ID
22
23
24
Science Maps in โ€œExpedition Zukunftโ€ 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
Places & Spaces Digital Display in North Carolina Stateโ€™s brand new Immersion Theater
26
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
http://scimaps.org/call
28
Information Visualization Framework
&
IVMOOC
30
Tasks
31
Course Schedule
Part 1: Theory and Hands-On
โ€ข Session 1 โ€“ Workflow Design and Visualization Framework
โ€ข Session 2 โ€“ โ€œWhen:โ€ Temporal Data
โ€ข Session 3 โ€“ โ€œWhere:โ€ Geospatial Data
โ€ข Session 4 โ€“ โ€œWhat:โ€ Topical Data
Mid-Term
โ€ข Session 5 โ€“ โ€œWith Whom:โ€ Trees
โ€ข Session 6 โ€“ โ€œWith Whom:โ€ Networks
โ€ข Session 7 โ€“ 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
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
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
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
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.
Course Schedule
Part 1: Theory and Hands-On
โ€ข Session 1 โ€“ Workflow Design and Visualization Framework
โ€ข Session 2 โ€“ โ€œWhen:โ€ Temporal Data
โ€ข Session 3 โ€“ โ€œWhere:โ€ Geospatial Data
โ€ข Session 4 โ€“ โ€œWhat:โ€ Topical Data
Mid-Term
โ€ข Session 5 โ€“ โ€œWith Whom:โ€ Trees
โ€ข Session 6 โ€“ โ€œWith Whom:โ€ Networks
โ€ข Session 7 โ€“ 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
See page 24
Visualization Framework
39
Visualization Framework
40See page 24
Visualization Framework
41
42
Register for free: http://ivmooc.cns.iu.edu. Class restarts Jan 12, 2016.
References
Bรถrner, 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 Bรถrner, 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/
Bรถrner, Katy (2010) Atlas of Science: Visualizing What We
Know. The MIT Press. http://scimaps.org/atlas
Scharnhorst, Andrea, Bรถrner, Katy, van den Besselaar, Peter
(2012) Models of Science Dynamics. Springer Verlag.
Katy Bรถrner, Michael Conlon, Jon Corson-Rikert, Cornell,
Ying Ding (2012) VIVO: A Semantic Approach to Scholarly
Networking and Discovery. Morgan & Claypool.
Katy Bรถrner and David E Polley (2014) Visual Insights: A
Practical Guide to Making Sense of Data. The MIT Press.
Bรถrner, Katy (2015) Atlas of Knowledge: Anyone Can Map.
The MIT Press. http://scimaps.org/atlas2
44
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

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Data visualisations: drawing actionable insights from science and technology data

  • 1. Data Visualizations: Drawing Actionable Insights from Science and Technology Data Katy Bรถrner 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 & Bรถrner. 2004. Won 1st prize at the IEEE InfoVis Contest.
  • 6. 6 Mapping the Evolution of Co-Authorship Networks Ke, Visvanath & Bรถrner. 2004. Won 1st prize at the IEEE InfoVis Contest.
  • 7. Research Collaborations by the Chinese Academy of Sciences Huang, Duhon, Hardy & Bรถrner 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, Bรถrner, 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 Bรถrner. 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 โ€˜scientific food webโ€™. 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
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  • 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
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  • 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
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  • 25. Science Maps in โ€œExpedition Zukunftโ€ 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 Stateโ€™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
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  • 32. Course Schedule Part 1: Theory and Hands-On โ€ข Session 1 โ€“ Workflow Design and Visualization Framework โ€ข Session 2 โ€“ โ€œWhen:โ€ Temporal Data โ€ข Session 3 โ€“ โ€œWhere:โ€ Geospatial Data โ€ข Session 4 โ€“ โ€œWhat:โ€ Topical Data Mid-Term โ€ข Session 5 โ€“ โ€œWith Whom:โ€ Trees โ€ข Session 6 โ€“ โ€œWith Whom:โ€ Networks โ€ข Session 7 โ€“ 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 โ€ข Session 1 โ€“ Workflow Design and Visualization Framework โ€ข Session 2 โ€“ โ€œWhen:โ€ Temporal Data โ€ข Session 3 โ€“ โ€œWhere:โ€ Geospatial Data โ€ข Session 4 โ€“ โ€œWhat:โ€ Topical Data Mid-Term โ€ข Session 5 โ€“ โ€œWith Whom:โ€ Trees โ€ข Session 6 โ€“ โ€œWith Whom:โ€ Networks โ€ข Session 7 โ€“ 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
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  • 43. Register for free: http://ivmooc.cns.iu.edu. Class restarts Jan 12, 2016.
  • 44. References Bรถrner, 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 Bรถrner, 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/ Bรถrner, Katy (2010) Atlas of Science: Visualizing What We Know. The MIT Press. http://scimaps.org/atlas Scharnhorst, Andrea, Bรถrner, Katy, van den Besselaar, Peter (2012) Models of Science Dynamics. Springer Verlag. Katy Bรถrner, Michael Conlon, Jon Corson-Rikert, Cornell, Ying Ding (2012) VIVO: A Semantic Approach to Scholarly Networking and Discovery. Morgan & Claypool. Katy Bรถrner and David E Polley (2014) Visual Insights: A Practical Guide to Making Sense of Data. The MIT Press. Bรถrner, 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