STICK: Science & Technology Innovation Concept Knowledge-base - - PowerPoint PPT Presentation
AAAS+NSF SciSIP Workshop: Building a Community of Practice II Washington, DC, October 19, 2010 STICK: Science & Technology Innovation Concept Knowledge-base Ping Wang Ben Shneiderman Yan Qu Why Do We Develop STICK? Artificial or
AAAS+NSF SciSIP Workshop: Building a Community of Practice II Washington, DC, October 19, 2010
2
Artificial or disciplinary divide between
Science and technology Invention and innovation Innovation production/supply and use/demand
Over-emphasis on success Lack of tools for analyzing large-scale data
We develop STICK to capture large-scale, multi-
3
News & trade press
ProQuest newspapers Lexis-Nexis Factiva
Scholarly work
Web of science Google scholar ProQuest dissertations ACM Digital Library
Company data
Hoovers Wharton Research Data
Services (WRDS)
Patents
USPTO Full-text &
image database (PatFT) and application full- text & image database (AppFT)
Google patents
Government funding
NSF and NIH awards
Social/informal media
Wikipedia Techmeme Slashdot
4
Three fields
IT, biotech, & nanotech
Innovations
Concepts Products/services
People/organizations
Developers/producers
Universities, research
labs, vendors
Adopters/users
Companies, nonprofits
Intermediaries
Relationships
Among innovations
Broader, narrower,
complementary, competing …
Among actors
Collaborative, affiliated
transactional, competitive …
Btw innovation & actor
Invent, commercialize,
invest, adopt …
Time of relationship
5
TM=Treemaps CT=Cone Trees HT=Hyperbolic Trees
Trade Press Articles Academic Papers Patents
Shneiderman et al. 2010
Trajectories help tell Innovation success/failure stories.
6
BPR ERP KM Data Warehouse Groupware CRM ASP E-Commerce 20 40 60 80 100 120 140 160 180 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 Adjusted number of articles on IT innovations except e-commerce 200 400 600 800 1000 1200 1400 1600 1800 2000 Adjusted number of articles on e-commerce BPR ERP KM Data Warehouse Groupware CRM ASP E-Commerce Wang 2010
Popularity shapes impact
7
VPN DLearn DSL Telecommute SmartCard PDA Multimedia WiFi IM DigiCam GPS TabletPC Bluetooth MP3 RFID Web2.0 Wiki Wikipedia YouTube SocNet MySpace Blog iPhone iPod Linux WebServ SOA UtiComp CloudCom Virtualization OSS ExpertSys NeuralNet AI OLAP DecisionSS Outsource eCom ERP CRM eBiz ASP EDI Grpware SFA SCM DW KM BI BizProReen VPN VPN DLearn DSL Telecommute SmartCard PDA Multimedia WiFi IM DigiCam GPS TabletPC Bluetooth MP3 RFID Web2.0 Wiki Wikipedia YouTube SocNet MySpace Blog iPhone iPod Linux WebServ SOA UtiComp CloudCom Virtualization OSS ExpertSys NeuralNet AI OLAP DecisionSS Outsource eCom ERP CRM eBiz ASP EDI Grpware SFA SCM DW KM BI BizProReen DLearn DSL Telecommute SmartCard PDA Multimedia WiFi IM DigiCam GPS TabletPC Bluetooth MP3 RFID Web2.0 Wiki Wikipedia YouTube SocNet MySpace Blog iPhone iPod Linux WebServ SOA UtiComp CloudCom Virtualization OSS ExpertSys NeuralNet AI OLAP DecisionSS Outsource eCom ERP CRM eBiz ASP EDI Grpware SFA SCM DW KM BI BizProReen Tsui et al. 2010
Dashboard helps monitor relations among innovations.
8
Zhang et al. 2011
Dashboard helps monitor innovation, community, and their interactions.
9
STICK helps researchers & policy makers
Monitor and make sense of innovations Find evidence in theorizing and policy-making
Social computing system allows users to
Specify fields and domains Suggest innovations to study Specify level of abstraction Suggest additional attributes
e.g., innovation benefits, unintended consequences …
10
Thanks to National Science Foundation for grants IIS-0729459 (HSD) and SBE-0915645 (SciSIP)
STICK.ischool.umd.edu pwang@umd.edu
STICK: Science & Technology Innovation Concept Knowledge-base PopIT: Scalable Computational Analysis
11
Shneiderman, B., Wang, P., Qu, Y. and Dunne, C. Analyzing
Trends in Science & Technology Innovation, in Proceedings
Symposium, College Park, MD, 2010.
Tsui, C.-j., Wang, P., Fleischmann, K.R., Oard, D.W., and
Sayeed, A.B., Exploring the Relationships among ICTs, in Proceedings of the 43rd Hawai'i International Conference on System Sciences, Kauai, HI, 2010.
Wang, P., 2010, Chasing the Hottest IT: Effects of
Information Technology Fashion on Organizations, MIS Quarterly, 34(1), pp. 63-85.
Zhang, P., Qu, Y., and Huang, C., Designing a Multi-layered
Ontology for the Science and Technology Innovation Concept Knowledge-base, in Proceedings of the 44th Hawai'i International Conference on System Sciences, Kauai, HI, 2011.