Technological Forecasting and Social Change Special Issue http://www.journals.elsevier.com/technological-forecasting-and-social-change/ Special issue title Open (Big) Data as Social Change: Triple Helix Innovation toward Government 3.0 Associated conference The 2nd Annual Asian Hub Conference on Triple Helix and Network Sciences (DISC 2014) on Data as Social Culture: Networked Innovation and Government 3.0, to be held on December 11-13, 2014, in Daegu and Gyeongbuk (Gyeongju), Rep. of Korea. Call for Papers: http://www.slideshare.net/hanpark/disc-2014-cfp-v3 The conference is organized by Asia Triple Helix Society (ATHS). Point of contact: Secretary to Prof. Dr. Han Woo Park (info.disc2014@gmail.com), Department of Media & Communication, YeungNam University, 214-1, Dae-dong, Gyeongsan-si, Gyeongsangbuk-do, South Korea, Zip Code 712-749. Associate Editors: Managing Guest Editors (MGE) Wayne Weiai Xu, Doctoral Candidate, SUNY-Buffalo, USA, weiaixu@buffalo.edu Dr. In Ho Cho, YeungNam University, Rep. of Korea, haihabacho@gmail.com Important Dates DISC 2014: 11 to 13 December 2014 Full paper submission: 1 March 2015 Review & Revision period: 1 September 2015 Online Publication: 1 December 2015 * We are also open to non-conference submissions to the special issue. However, the priority will be given to papers presented at the DISC 2014 and its associated seminars.

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Technological Forecasting and Social Change Special Issue
http://www.journals.elsevier.com/technological-forecasting-and-social-change/
Special issue title
Open (Big) Data as Social Change: Triple Helix Innovation toward Government 3.0
Associated conference
The 2nd Annual Asian Hub Conference on Triple Helix and Network Sciences (DISC 2014) on
Data as Social Culture: Networked Innovation and Government 3.0, to be held on December 11-
13, 2014, in Daegu and Gyeongbuk (Gyeongju), Rep. of Korea.
Call for Papers: http://www.slideshare.net/hanpark/disc-2014-cfp-v3
The conference is organized by Asia Triple Helix Society (ATHS). Point of contact: Secretary to
Prof. Dr. Han Woo Park (info.disc2014@gmail.com), Department of Media & Communication,
YeungNam University, 214-1, Dae-dong, Gyeongsan-si, Gyeongsangbuk-do, South Korea, Zip
Code 712-749.
Associate Editors: Managing Guest Editors (MGE)
Wayne Weiai Xu, Doctoral Candidate, SUNY-Buffalo, USA, weiaixu@buffalo.edu
Dr. In Ho Cho, YeungNam University, Rep. of Korea, haihabacho@gmail.com
Important Dates
DISC 2014: 11 to 13 December 2014
Full paper submission: 1 March 2015
Review & Revision period: 1 September 2015
Online Publication: 1 December 2015
* We are also open to non-conference submissions to the special issue. However, the priority will
be given to papers presented at the DISC 2014 and its associated seminars.

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Scope of topics
Knowledge is increasingly crowd-sourced, through networked individuals, groups and
organizations on digital media. The traditional innovation through a triple helix of university-
industry-government collaboration has been shifted with the wide adoption of social media.
Specifically, in the recent open data movement, government agencies have joined the ranks to
collect and share large-scale public data. In developed Asian economies, South Korea for
example, this trend is described as “Government 3.0” – a government initiative to promote
'creative economy' by making public information accessible to all innovation stakeholders.
Scholars are catching up to understand how institutional arrangements and communication flows
induce emergent knowledge-intensive clusters and networked innovations. Progress in network
science and the theory of Triple Helix have provided the foundation to understand the networked
innovation. However, even with the general agreement that innovation occurs through social
networks, few studies offer empirical evidence of the casual link between networks and
innovations. While the existent studies have utilized large samples and sophisticated statistical
analyses, the findings are largely descriptive rather than explanatory, and oftentimes based on
only a visualization of network diagrams. Additionally, a stark gap in the literature is the lack of
qualitative insights – a thick description and interepretation of symbols and meanings generated
in collaboration. We reckon that big data do not necessarily mean smart data. A complete
picture requires both network science and qualitative analyses. Therefore, this special issue
welcomes original work in the junction of network science, triple helix theories and social media.
We pay specific attention to interdisciplinary studies that combine both quantitative and
qualitative approaches, theories and practices. Specially, we look for:
 Comparative analysis: comparing different types of innovation networks; identifying
effective innovation models or processes across different knowledge stakeholders.
 Longitudinal analysis: exploring the gradual creation and mobilization of various
stakeholders through internal and external interactions; understating the evolutionary
process of innovation network.
 Case study; identifying the case of success (as well as failure) within the context of
networked innovation; understanding how organizations manage knowledge between
multiple stakeholders; understanding the difference of transmitting or co-creating
different types of knowledge (e.g., explicit and implicit knowledge, intellectual
properties).
 Interpretive approach: understanding the roles of symbolic interactions within the context
of networked innovation among multiple actors; understanding metaphors and stories that
can foster or hinder networked innovations.
 Mixed methods approaches and applications: Designing mixed methods research and its
applications
 Theories and their applicability to the study of networked innovation (e.g., community of
practice, complexity theory, hermeneutic phenomenology, grounded theory)