We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published bySean Johnston
Modified over 2 years ago
© European Communities, 2011 Background & Context Effective management of technological innovation requires a strategic perspective based upon sound empirical intelligence. Achieving that blend is especially challenging in the case of Newly Emerging Science & Technologies (NESTs). We conduct an academic study to fill this gap by synthesizing an approach to 1) inform an innovation system model (TDS), 2) by drawing upon R&D data mining, 3) for NESTs. Research question: how can we better exploit R&D information resources concerning NESTS to identify innovation opportunities? FTA Process (Methodology) Contact Ying Guo Beijing Institute of Technology, Beijing, China Georgia Institute of Technology, Atlanta, Georgia, US Tel INTERNATIONAL CONFERENCE Empirically informing a technology delivery system model for an emerging technology: Illustrated for dye-sensitized solar cells Affiliation (Name Onl) Top Countries % since 2006 Research emphases Chinese Academy of Science China  Japan  52% of 88 TiO 2  films  CONVERSION  Swiss Federal Institute of Technology Switzerland  UK  Italy  24% of 66 TiO 2  CONVERSION  films  Ecole Polytechnique Federale de Lausanne Switzerland  UK  Netherlands  USA  54% of 54 TiO 2  films  CONVERSION  EFFICIENT  Univ London Imperial Coll Sci Technol & Med UK  Spain  Switzerland  31% of 48 TiO 2  films  recombine  National Institute of Advanced Industrial Science and Technology Japan 28% of 47 TiO 2  films  electron injection  Helping to answer the research question is the aim of our 10-step analytical process by combining quantitative (empirical) and qualitative analyses. Composing an innovation system model is a vital precondition for formulating effective policy and development strategy. We strive to offer the technology policy-maker or manager a systems model that incorporates empirical intelligence on key players, leverage points, and requirements. We exemplify our approach for a particular NEST case: dye-sensitized solar cells (DSSC). Output & Impacts C: Profile R&D DSSC publication & patent trends Top 10 DSSC Research Organizations [based on the Science Citation Index] E: Cross-charting Cross-chart: from nano material to application for DSSCs G. Internal actor analyses Relations among 3 interesting DSSC players and others I. Compose the TDS TDS for DSSCs Conclusion & policy implication 1. A correct NEST understanding moves the whole process in the right direction and ensures useful results. Accordingly, expert engagement is vitalthis occurred via personal contact and in workshops. 2. Ten months were spent in this case; Step B occupied most of this time. 3. The Cross-charting method helps to relate R&D advances to functional gains that they can provide and, thereafter, to potential applications. 4. For the future, we will continue to explore how cross-charting can apply at various granularities. We are also pursuing ways to apply Tech Mining methods, such as specialized thesauri and identification of triples (subject-verb-object), to facilitate composing cross-chart linkages. 5. When applying the 10-step process to other NESTs, the process can be adapted in various aspects. Technology Delivery System (TDS) is a useful framework to consider how enhanced technological capabilities can translate into a successful application. Ten-step process to compose a TDS for an NEST
Text Mining of Information Resources to Inform Forecasting of Innovation Pathways Lu Huang, 1 Ying Guo, 1 TingTing Ma, 1,2 Alan L. Porter 2,3 1 School.
Quality developments in VET An overview of the work of the European Forum on Quality in VET.
A Technology Opportunities Analysis Model: Applied to Dye-Sensitized Solar Cells for China Tingting Ma 1,2, Alan Porter 1, Jud Ready 1, Chen Xu 1, Lidan.
The Navigator Network A Futurewatch Case Study Jane Cameron Ministry of Research, Science & Tech New Zealand 2 nd Annual Seville FTA Seminar Sept 28-29,
Module 2: National IEA process design and organization.
Training Session #4 Linking & Leveraging for Success.
1 Thriving in the New Information Profession The Fundamentals of Knowledge Services Guy St. Clair Dale Stanley SMR InternationalGenentech New York NYSan.
Forward-looking Information in Policy- making CERF Centre for Environmental Risks and Futures Fiona Lickorish Head of Centre.
© 2011 # 1 רשות ארצית למדידה והערכה בחינוך ראמ"ה טיוטא Introduction Large Scale Assessments (LSA) International Large Scale Assessments (ILSA) Recent Developments.
1 Tuning USA: Meeting the Challenges of US Higher Education John H. Yopp, PhD Strategic Partnerships, Tuning USA David W. Marshall, PhD Associate Director,
Federal Information System Controls Audit Manual (FISCAM)
1 Regulatory Framework under Discussion: CITEL and APEC Experiences Salma Jalife – Cofetel México What rules for IP enabled NGNs? ITU Workshop, March.
PRAGES PRActising Gender Equality in Science Guidelines presentation Manchester, November Marina Cacace - ASDO.
JSC 20 Year Vision April We are here because.
Knowledge Management Thomas J. Froehlich, Ph.D. Program Director, IAKM Professor, SLIS.
© John Beveridge CobiT Update NSAA IT Conference Richmond, VA John W. Beveridge September 27, 2007.
The European Commission as a Partner of International Cooperation in Research Ethics Governance and Ethics Unit Directorate-General for Research European.
S3 Platform – Peer Review Workshop February 2014, Riga 1 RIS3: IMPLEMENTATION AND POLICY MIXES RIS3: IMPLEMENTATION AND POLICY MIXES Claire NAUWELAERS.
Knowledge Management in the Public Sector April, 2009 Paul McDowall Knowledge Management Advisor Canada School of Public Service.
UNIT-l Conceptual foundation of Business Process reengineering 1.
CBR CBR 207: Writing Effective Community-Based Research Proposals.
January 25, 2010 Metropolitan Business Planning Initiative Project Kick-Off Meeting CONFIDENTIAL – for Internal Team & Partner Discussion ONLY.
3.1 Mitigation Assessment: Concepts, Structure and Steps CGE TRAINING MATERIALS- MITIGATION ASSESSMENT MODULE C.
Showcasing and Rewarding European Public Excellence © Excellence in der öffentlichen Verwaltung. Schweizer Qualitätswettbewerb 2010 Bern.
UNIMED BN training seminar Promoting Innovation and Technology Transfer Swissôtel Istanbul, Turkey February 2002 UNITED NATIONS INDUSTRIAL DEVELOPMENT.
WIPO Asia Pacific Conference on National IP Strategies and Development, October 27 and 28, 2009, Manila, Philippines NATIONAL IP STRATEGY AS A CRITICAL.
Critical Sexuality Studies and Research Methodologies From Advancing Sexuality Studies: a short course on sexuality theory and research methodologies.
1 The Institutional Proposal and Beyond Western Association of Schools and Colleges Accrediting Commission for Senior Colleges and Universities January.
1 Using Data to Drive Health System Performance Commissioned from Ovations by the National Primary and Care Trust Development Programme.
Presentation Alfred Radauer (Senior Researcher, Austrian Institute for SME Research) Main findings and conclusions of the Benchmarking Study of National.
© 2016 SlidePlayer.com Inc. All rights reserved.