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DRPS : Course Catalogue : School of Social and Political Science : Postgrad (School of Social and Political Studies)

Postgraduate Course: Innovation Systems: Theory and Practice II (PGSP11335)

Course Outline
SchoolSchool of Social and Political Science CollegeCollege of Humanities and Social Science
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaPostgrad (School of Social and Political Studies) Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThis course draws on the contributors¿ knowledge in the practice of innovation systems, with a focus on recent developments in the domain of the life sciences and its biotechnological applications. From an interdisciplinary and historical perspective, the focus will be on issues surrounding knowledge dynamics (creation, accumulation and diffusion), the interdependence and non-linearity of research and development activities, the role of institutions, and the emergence of organised markets, with a view to elucidate the shortcomings of the notion of optimality and allow for useful comparisons between the trajectory and performance of selected systems in the domain of the life sciences.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Displayed in Visiting Students Prospectus?No
Course Delivery Information
Delivery period: 2013/14 Semester 2, Available to all students (SV1) Learn enabled:  Yes Quota:  16
Web Timetable Web Timetable
Course Start Date 13/01/2014
Breakdown of Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 10, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 88 )
Additional Notes
Breakdown of Assessment Methods (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
1. This course requires prior knowledge of innovation systems theories. It will focus on the relationship among a variety of possible systemic configurations, processes of structural change and innovative performances. It also aims to integrate conceptual and theoretical work with empirical case studies. In particular, it will tackle a number of important contemporary life science issues by drawing on the most recent research findings, which will allow a systemic and interdisciplinary exploration of the complex evolution and dynamics of the biotechnology industry in various geographical and sectoral contexts.
In addition, the course will explain why and how the concept of innovation system entails a different perspective on innovation policy, one that tends focus on long-term competence building and requires the effective coordination of a variety of policy types, from bioscience and education to labour markets to finance and industrial strategy.
2. By the end of the course students will have:
- Knowledge of the theories and concepts used to evaluate the impact of life science-based innovations and technologies in the pharmaceutical, bio-energy and agro-biotechnology sectors, as well as the ability to critically evaluate associated value chains.
- Acquired, combined and translated knowledge about innovative technology in different industry sectors and national contexts.
- The analytical frameworks to evaluate governance and policy structures that have been used to frame biotechnology at different geographical levels, and to assess and communicate the likely impact of these on future innovation potential.
Assessment Information
Assessment will be a final essay of 3000 words on a topic to be agreed between the student and the course convener. This might be a conventional research paper, literature review or an exercise in foresight or scenario planning.
Special Arrangements
Additional Information
Academic description Not entered
1 Attributes of life science innovation in the bioeconomy
2 Biotechnology revolution ¿ fulfilled promise or more questions?
3 Sectors and regions of bioscience and biotechnology innovation
4 Intangible assets, intellectual property and knowledge management
5 Systems interactions in life science innovation
Transferable skills Not entered
Reading list Coombs, R., and Metcalfe, S. (2002) Innovation in pharmaceuticals: perspectives on the co-ordination, combination and creation of capabilities, Technology Analysis and Strategic Management, 14 (3), 261-271
Cooke P (2007), The Microbiology Revolution and the Crisis of Pharmaceuticals¿, in P. Cooke (Ed.) Growth Cultures: The Global Bioeconomy and its Bioregions, 62-82, Routledge, Oxon, UK
Cooke, P. (2007) European Asymmetries: A Comparative Analysis of German and UK Biotechnology Clusters, Science and Public Policy, 34(7), 454-474.
Feldman and Francis (2003), Fortune Favours the Prepared Region: The Case of Entrepreneurship and the Capitol Region Biotechnology Cluster, European Planning Studies, (11)7, 765 ¿ 788
Moodysoon L, Coenen L, Asheim B. (2008), ¿Explaining spatial patterns of innovation: analytical and synthetic modes of knowledge creation in the Medicon Valley life-science cluster¿, Environment and Planning A, 40, 1040-1056.
DC Mowery, RR Nelson, AA Sampat, BN Ziedonis (2001), The Growth of Patenting and Licensing by U.S. Universities: An Assessment of the Effects of the Bayh-Dole Act of 1980, Research Policy, Vol. 30, 99-119.
Nightingale, P. & P. Martin (2004) ¿The Myth of the Biotech Revolution¿, Trends in Biotechnology, vol. 22, 564-569
Orsenigo L, 2006, Clusters and Clustering in Biotechnology: Stylised Facts, Issues and Theories. From Clusters to network structures and their dynamics, in (eds) Braunehjelm P and Feldman M, Cluster Genesis: Technology Bases Cluster Development, Oxford University Press.
Owen Smith J, Powell W W. (2006), Accounting for emergence and novelty in Boston and Bay Area biotechnology, in (eds) Braunehjelm P and Feldman M, Cluster Genesis: Technology Bases Cluster Development, Oxford University Press.
Pisano G. P., 2006, The Science Business: The Promise, the Reality, and the Future of Biotech, Boston, MA: Harvard Business School Press - Part 1_Chapter 2, Part 2_Chapter 6
Powell W W., K. W. Koput, J.I. Bowie, L. Smith-Doerr, 2002, ¿The Spatial Clustering of Science and Capital: Accounting for Biotech Firm-Venture Capital Relationships¿, Regional Studies, - v36 36:291 - 305.
Rasmussen B (2010) Innovation and Commercialisation in the Biopharmaceutical Industry, EE Publishing Ltd - Part 2_Chapters 5-6-7
Rosiello A. and Orsenigo L. (2008), A Critical Assessment of Regional Innovation Policy in Pharmaceutical Biotechnology, European Planning Studies, 16(3), 337-358.
Rosiello A. and S. Parris (2009), The Patterns of Venture Capital Investment in the UK Bio-Healthcare Sector: the role of proximity, cumulative learning and specialisation¿, Venture Capital a Journal in Entrepreneurial Finance, 11(3), 185-212.
Tait, J. (2007) Systemic interactions in life science innovation, Technology Analysis and Strategic Management, 19 (3), 257-277
SMITH L H and BAGCHI-SEN S (2006), ¿University¿Industry Interactions: the Case of the UK Biotech Industry¿, Industry and Innovation, Vol. 13, No. 4, 371¿392.
Study Abroad Not entered
Study Pattern The course will be delivered through a 5 week lecture and seminar discussion format. The two-hour sessions will typically consist of a short lecture (introducing the key themes of the week¿s topic and the core readings provided) followed by an hour and a quarter of classroom discussion, student-led presentations, and case study work.
Each week¿s class will typically cover conceptual, theoretical and empirical material related to the topic, and substantive use will be made of case-study material emerging from recent research findings of the teaching staff.
KeywordsNot entered
Course organiserDr Alessandro Rosiello
Tel: (0131 6)50 6393
Course secretaryMiss Jodie Fleming
Tel: (0131 6)51 5066
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