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Interactive Maps of Science and Technology Dr. Katy Börner Cyberinfrastructure for Network Science Center, Director Information Visualization Laboratory, Director School of Library and Information Science Indiana University, Bloomington, IN [email protected] With special thanks to the Cyberinfrastructure for Network Science Center team and the VIVO Team. 3 rd International Workshop on Network Theory: "Web Science meets Network Science" Northwestern University. March 4-5, 2011 http://scimaps.org/flat/meeting/100304/ 2

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Page 1: Interactive Maps of Science and Technology

Interactive Maps of Science and Technology

Dr. Katy BörnerCyberinfrastructure for Network Science Center, DirectorInformation Visualization Laboratory, DirectorSchool of Library and Information ScienceIndiana University, Bloomington, [email protected]

With special thanks to the Cyberinfrastructure for Network Science Center team and the VIVO Team.

3rd International Workshop on Network Theory: "Web Science meets Network Science" Northwestern University.

March 4-5, 2011

http://scimaps.org/flat/meeting/100304/

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Opportunities

High quality data, e.g., semantic web data

Advanced data analysis techniques

Visual communication of results to a large audience, e.g., using science maps

Challenges

Different languages, cultures, value systems, data formats

Interplay of science, engineering, and design

Disclaimers for my talk:

Just visuals but 80% of effort to create those is spent on data cleaning while another 15% is spent on data analysis

For formulas see references

Web Science meets Network Science

Science and Technology Maps

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Advantages for Funding Agencies Supports monitoring of (long-term) money flow and research developments, evaluation of

funding strategies for different programs, decisions on project durations, funding patterns. Staff resources can be used for scientific program development, to identify areas for future

development, and the stimulation of new research areas.Advantages for Researchers Easy access to research results, relevant funding programs and their success rates, potential

collaborators, competitors, related projects/publications (research push). More time for research and teaching.

Advantages for Industry Fast and easy access to major results, experts, etc. Can influence the direction of research by entering information on needed technologies

(industry-pull).

Advantages for Publishers Unique interface to their data. Publicly funded development of databases and their interlinkage.

For Society Dramatically improved access to scientific knowledge and expertise.

Science Map Users

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The Power of Maps (2005) Science Maps for Economic Decision Makers (2008)

The Power of Reference Systems (2006) Science Maps for Science Policy Makers (2009)Science Maps for Science Policy Makers (2009)

The Power of Forecasts (2007) Science Maps for Scholars (2010)Science Maps as Visual Interfaces to Digital Libraries (2011)Science Maps for Kids (2012)Science Forecasts (2013)How to Lie with Science Maps (2014)

Exhibit has been shown in 72 venues on four continents. Currently at- NSF, 10th Floor, 4201 Wilson Boulevard, Arlington, VA- Center of Advanced European Studies and Research, Bonn, Germany- University of Michigan, Ann Arbor, MI

Mapping Science Exhibit – 10 Iterations in 10 yearshttp://scimaps.org

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Richard Klavans & Kevin W. Boyack. 2007. Maps of Science: Forecasting Large Trends in Science10

Today used as a science “base map”, see later slides

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Council for Chemical Research. 2009. Chemical R&D Powers the U.S. Innovation Engine. Washington, DC. Courtesy of the Council for Chemical Research. 12

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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. 13

Debut of 5th Iteration of the Mapping Science Exhibit at MEDIA X was in 2009 at Wallenberg Hall, Stanford University, http://mediax.stanford.edu, http://scaleindependentthought.typepad.com/photos/scimaps

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Science Maps in “Expedition Zukunft” science train visiting 62 cities in 7 months, 12 coaches, 300 m long. http://www.expedition-zukunft.de

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Interactive S&T Maps

http://scholarometer.indiana.edu

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http://mapofscience.com and SciVal by Elsevier

http://www.philanthropyinsight.org

Interactive Maps of Science – Philanthropy

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Interactive World and Science Map of S&T JobsAngela Zoss, Michael Connover, Katy Börner (2010)

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http://mapsustain.cns.iu.edu

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Google Map JavaScript API was used to implement both maps with two aggregation layers for each. The geographic map aggregates to the state level and the city level. The science map has a high level of aggregation of 13 top-level scientific disciplines and a low level of 554 sub-disciplines.

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The geographic map at state level.

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The geographic map at city level.

Search result for “corn”Icons have same size but represent different #records

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Click on one icon to display all records of one type.Here publications in the state of Florida.

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Detailed information on demand via original source site for exploration and study.

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Search result for “Miscanthus,” a special energybiomass crops for second generation biofuel.

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The science map at 13 top-level scientific disciplines level.

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The science map at 554 sub-disciplines level.

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https://app.nihmaps.org34

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https://app.nihmaps.org

https://app.nihmaps.org36

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https://app.nihmaps.org37

https://app.nihmaps.org38

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http://rd-dashboard.nitrd.gov/pub.html39

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S&T Studies Using Semantic Web Data

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Linked Open Data

Interlinking existing data silos and

Exposing them as structured data

Adding new high quality data relevant for S&T studies

http://linkeddata.org

August 2007

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http://www4.wiwiss.fu-berlin.de/bizer/pub/lod-datasets_2009-03-05_colored.png 43

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VIVO: A Semantic Approach to Creating a National Network of Researchers (http://vivoweb.org)

• Semantic web application and ontology editor originally developed at Cornell U.

• Integrates research and scholarship info from systems of record across institution(s).

• Facilitates research discovery and cross-disciplinary collaboration.

• Simplify reporting tasks, e.g., generate biosketch, department report.

Funded by $12 million NIH award. 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, Shanshan Chen, Ying Ding, Russell Duhon, Jon Dunn, Micah Linnemeier, Nianli Ma, 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, MichaeleenTrimarchi. 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.

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Type of Analysis vs. Level of Analysis

NIH’s core competency Co-author network NSF Co-PI network of one individual

Network Analysis (With Whom?)

VxOrd/Topic maps of NIH funding

Knowledge flows in Chemistry research

Base knowledge from which one grant draws.

Topical Analysis (What)

PNAS publications Mapping a states intellectual landscape

Career trajectory of one individual

Geospatial Analysis (Where)

113 Years of Physics Research

Mapping topic bursts in 20-years of PNAS

Funding portfolio of one individual

Temporal Analysis (When)

All of NSF, all of USA, all of science.

Larger labs, centers, universities, research domains, or states

Individual person and their expertise profiles

Statistical Analysis/Profiling

Macro/Global(10,000 < records)

Meso/Local(101–10,000 records)

Micro/Individual(1-100 records)

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Temporal Analysis (When) Temporal visualizations of the number of papers/funding award at the institution, school, department, and people level 49

Topical Analysis (What) Science map overlays will show where a person, department, or university publishes most in the world of science. (in work) 50

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Network Analysis (With Whom?) Who is co-authoring, co-investigating, co-inventing with whom? What teams are most productive in what projects?

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http://vivo-netsci.cns.iu.edu

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Data Download Support

General Statistics• 36 publication(s) from 2001 to 2010

(.CSV File)• 80 co-author(s) from 2001 to 2010

(.CSV File)

Co-Author Network(GraphML File)

Save as Image (.PNG file)

Tables• Publications per year (.CSV File)• Co-authors (.CSV File)

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v36 publication(s) from 2001 to 2010 (.CSV File)

80 co-author(s) from 2001 to 2010 (.CSV File)

Co-author network (GraphML File)

Save as Image (.PNG file)

Publications per year (.CSV File), see top file.

Co-authors (.CSV File)

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Run Science of Science (Sci2) Tool and load Co-Author Network (GraphML File)

Visualize the file using Radial Graph layout.

Click on node to focus on it.

Hover over a node to highlight its co-authors.

Code and tutorials are linked from http://sci.slis.indiana.edu/sci2

Network Analysis ToolkitNodes: 81Edges: 390

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Scholarly Database: 25 million scholarly recordshttp://sdb.slis.indiana.edu

VIVO Research Networkinghttp://vivoweb.org

Information Visualization Cyberinfrastructurehttp://iv.cns.iu.edu

Network Workbench Tool & Community Wikihttp://nwb.cns.iu.edu

Science of Science (Sci2) Tool and CI Portalhttp://sci2.cns.iu.edu

Epidemics Cyberinfrastructurehttp://epic.cns.iu.edu

Computational ScientometricsCyberinfrastructures

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http://cacm.acm.org

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VIVO National Level Visualizations

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Data Analysis &

Visuali-zation

Data Data Analysis &Analysis &

VisualiVisuali--zationzation

PonceVIVOPonceVIVO

WashU

VIVOWashU

VIVO

Scripps

VIVOScripps

VIVO UF VIVO

UF VIVO

IU VIVO

IU VIVO

WCMC

VIVOWCMC

VIVO

Cornell

VIVOCornell

VIVO RDFTriple Store

RDFTriple Store

RDFTriple Store

RDFTriple Store

FutureVIVOFutureVIVO

FutureVIVOFutureVIVO

FutureVIVOFutureVIVO

OtherRDF

OtherRDF

OtherRDF

OtherRDF

OtherRDF

OtherRDF

Prof. Assn.Triple Store

Prof. Assn.Triple Store

RegionalTriple Store

RegionalTriple Store

SearchSearch

SearchSearch

Linked Open DataLinked Open Data

Science is global. World view of VIVO activity. Web site visits are aggregated at the country level.

02/2010

Geospatial Analysis (Where) Where is what science performed by whom? Science is global and needs to be studied globally. (in work) 60

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Shown are the - Number of people profiles in the 7 different VIVO installation sites plus CAS and U Melbourne.- Email contacts by data and service providers as well as institutions interested to adopt VIVO.- The number of visitors on http://vivoweb.orgCircles are area size coded using a logarithmic scale.

04/2010

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VIVO 1.0 source code was publicly released on April 14, 201087 downloads by June 11, 2010. The more institutions adopt VIVO, the more high quality data will be available to understand, navigate, manage, utilize, and communicate progress in science and technology.

06/2010

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http://vivoexperts.ctsi.ufl.edu

VIVO is supported by NIH Award U24 RR029822

Second Annual VIVO ConferenceAugust 24-26, 2011

Gaylord National, Washington D.C.

http://vivoweb.org/conference

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Future Developments:

- Mapping real-time data- Community annotation & data marketplaces- S&T broadcasts and forecasts

http://aworldoftweets.frogdesign.com

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http://aworldoftweets.frogdesign.com

http://wikimapia.org

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http://openstreetmap.org

http://www.maptube.org

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http://www.maptube.org

http://healthmap.org/predict

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http://healthmap.org/predict

Computational Scientometrics

References

Börner, Katy, Chen, Chaomei, and Boyack, Kevin. (2003). Visualizing Knowledge Domains. In Blaise Cronin (Ed.), ARIST, Medford, NJ: Information Today, Inc./American Society for Information Science and Technology, 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, Sanyal, Soma and Vespignani, Alessandro (2007). Network Science. In Blaise Cronin (Ed.), ARIST, Information Today, Inc./American Society for Information Science and Technology, Medford, NJ, Volume 41, Chapter 12, pp. 537-607.

http://ivl.slis.indiana.edu/km/pub/2007-borner-arist.pdf

Börner, Katy (2010) Atlas of Science. MIT Press.http://scimaps.org/atlas

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All papers, maps, tools, talks, press are linked from http://cns.iu.edu

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