Synopsis:
Time & dates: Dates: Years: 2009:
ART12.pdf
and maintenance) uniformly among related companies. 2009 3. 33 3. 14 2. 39 2. 29 3. 54 Development of a super high-speed computer communication protocol capable
or using portable terminals. 2009 3. 38 2. 97 2. 32 2. 04 3. 13 Improvement of the data communication environment and widespread use of telecommuting support services,
ART16.pdf
& Social Change 76 (2009) 1135 1137 Contents lists available at Sciencedirect Technological forecasting & Social Change 0040-1625/$ see front matter 2009 Elsevier Inc. All rights reserved. doi:
10.1016/j. techfore. 2009.10.004 new power of IT and network analytical approaches, but it also directly aims its messages at policy makers responsible for designing more effective strategies for the deployment of public funds for R&d and those responsible for forecasting where and how to do this no small task indeed!
storage and distribution in Australia. 1136 Technological forecasting & Social Change 76 (2009) 1135 1137 We conclude with the observation of Scott Cunningham
http://forera. jrc. ec. europa. eu/fta 2008/intro. html (2009-07-30). 2 F. Scapolo, M. Rader, A Porter, Future-oriented technology analysis (FTA:
and may not in any circumstances be regarded as stating an official position of the European commission. 1137 Technological forecasting & Social Change 76 (2009) 1135 1137
ART17.pdf
Received 17 november 2008 Accepted 15 july 2009 This paper examines a technique suitable for monitoring and analyzing systemic change in technology.
The role of this new method in a context of distributed decision-making and design is presented. 2009 Elsevier Inc. All rights reserved.
Thus, exploratory modeling is used to explore Technological forecasting & Social Change 76 (2009) 1138 1149 E-mail address:
S. Cunningham@tudelft. nl. 0040-1625/$ see front matter 2009 Elsevier Inc. All rights reserved. doi:
A structured representation of the data provides a principled account of where technological change is most likely to occur. 1139 S w. Cunningham/Technological forecasting & Social Change 76 (2009) 1138 1149 The article
& Social Change 76 (2009) 1138 1149 The hierarchical representation of the data grows more attractive as the network grows larger,
the total Fig. 1. Example hierarchical random graph. 1141 S w. Cunningham/Technological forecasting & Social Change 76 (2009) 1138 1149 number of links or edges
& Social Change 76 (2009) 1138 1149 4. Results In this results section we apply the methodology described in the previous section to a specific system of new technologies.
Fig. 4. Expanding network of hyperlinks in Wikipedia. 1143 S w. Cunningham/Technological forecasting & Social Change 76 (2009) 1138 1149 At least three other networks have been studied in the context
data. 1144 S w. Cunningham/Technological forecasting & Social Change 76 (2009) 1138 1149 The resultant hierarchical random graph usefully distinguishes between high-level concepts
& Social Change 76 (2009) 1138 1149 As seen in Table 3 the model anticipates a threefold combination of Internet explorer, rich Internet applications and the World wide web consortium (W3c), with a likelihood of 81%.
%1146 S w. Cunningham/Technological forecasting & Social Change 76 (2009) 1138 1149 Techniques such as the link prediction algorithm described here might assist in radical innovation processes by providing rapid
& Social Change 76 (2009) 1138 1149 If tacit knowledge has based a character upon the configuration of knowledge claims, then methods (such as the hierarchical graph)
CRC Press, Boca raton, 1998.1148 S w. Cunningham/Technological forecasting & Social Change 76 (2009) 1138 1149 10 D. R. Swanson, N. R. Smalheiser
2009. http://www. santafe. edu/aaronc/randomgraphs/./22 A. Clauset, C. Moore, M. E. J. Newman, Hierarchical structure and the prediction of missing links in networks, Nature 453 (2008) 98 101.23 M. Sales
was published in 2001 with Wiley. 1149 S w. Cunningham/Technological forecasting & Social Change 76 (2009) 1138 1149
ART18.pdf
Received 11 march 2008 Received in revised form 6 april 2009 Accepted 15 july 2009 The sustainable transformation of infrastructure sectors represents a challenge of prime importance worldwide.
2009 Elsevier Inc. All rights reserved. Keywords: Regional foresight Strategic planning Participation Infrastructure 1. Infrastructure planning and foresight In OECD countries, most infrastructure sectors such as electricity supply, water supply and sanitation were constructed over the 20th century by implementing a narrow
these approaches are often deficient with regard to addressing the broad range of uncertainties associated with the long planning horizon (more extensively treated in 5). Technological forecasting & Social Change 76 (2009) 1150 1162 Corresponding
0040-1625/$ see front matter 2009 Elsevier Inc. All rights reserved. doi: 10.1016/j. techfore. 2009.07.008 Contents lists available at Sciencedirect Technological forecasting
/Technological forecasting & Social Change 76 (2009) 1150 1162 organizations have been optimizing to guarantee the provision of homogeneous and affordable services.
/Technological forecasting & Social Change 76 (2009) 1150 1162 integrated system-and demand-management perspective 38, p. 4. Some scenario projects show a variety of different land use
/Technological forecasting & Social Change 76 (2009) 1150 1162 actors. The core team selects approximately a dozen stakeholder representatives according to their influence and affectedness 61.
/Technological forecasting & Social Change 76 (2009) 1150 1162 For analyzing these trade-offs, we have developed two graphical representations of the assessment data.
/Technological forecasting & Social Change 76 (2009) 1150 1162 participate in the different stages of the process.
/Technological forecasting & Social Change 76 (2009) 1150 1162 Based on a national analysis of The swiss sanitation system 69 and a call for participation in innovative strategic planning processes,
/Technological forecasting & Social Change 76 (2009) 1150 1162 the prevailing technical structure and the autonomy of the existing organizations.
/Technological forecasting & Social Change 76 (2009) 1150 1162 and a forceful coordination of regional sanitation services.
/Technological forecasting & Social Change 76 (2009) 1150 1162 The elaboration of a joint system representation by the different organizations in the Kiese catchment furthermore prepared the ground for intensified collaboration and shared visions.
/Technological forecasting & Social Change 76 (2009) 1150 1162 Acknowledgements The project Regional infrastructure foresight was funded by The swiss National science Foundation within the National research Program 54 Sustainable development of the Built Environment.
Rev. 51 (2)( 2009) 30 50.3 OECD, Infrastructure to 2030: Telecom, Land Transport, Water and Electricity, OECD Publishing, Paris, 2006.4 B. Flyvbjerg, Policy and planning for large-infrastructure projects:
, Futures 41 (2009) 80 86.14 F. W. Geels, The hygienic transition from cesspools to sewer systems (1840 1930:
/Technological forecasting & Social Change 76 (2009) 1150 1162 49 K. M. Hillman, B. A. Sandén, Exploring technology paths:
/Technological forecasting & Social Change 76 (2009) 1150 1162
ART19.pdf
Integrating future-oriented technology analysis and risk assessment methodologies Raija Koivisto, Nina Wessberg, Annele Eerola, Toni Ahlqvist, Sirkku Kivisaari, Jouko Myllyoja, Minna Halonen VTT Technical research Centre of Finland
Received 17 november 2008 Received in revised form 11 june 2009 Accepted 15 july 2009 This paper examines the potential of integrating future-oriented technology analysis (FTA) with risk assessment methodologies and tools,
suggesting new ways to evolve the modular design when integrating FTA and risk assessment methodologies and tools. 2009 Elsevier Inc. All rights reserved.
whereas in foresight exercises the positive developments like innovation possibilities has Technological forecasting & Social Change 76 (2009) 1163 1176 Corresponding author.
0040-1625/$ see front matter 2009 Elsevier Inc. All rights reserved. doi: 10.1016/j. techfore. 2009.07.012 Contents lists available at Sciencedirect Technological forecasting
/Technological forecasting & Social Change 76 (2009) 1163 1176 Both the SECI and SLC model emphasize the shared knowledge making.
/Technological forecasting & Social Change 76 (2009) 1163 1176 interviews. Megatrends and weak signals are also the crucial targets of the examination:
/Technological forecasting & Social Change 76 (2009) 1163 1176 analytic way to assess and manage risks in a complex context was rapidly showing its success. The number of industrial accidents
/Technological forecasting & Social Change 76 (2009) 1163 1176 the resilient ecosystem dynamics, the resilience engineering stands for an industrial process
research period 2006 2009. The aim was to study the possibilities of proactive risk assessment and management of critical infrastructures based on the integration of risk assessment and scenario development methods.
/Technological forecasting & Social Change 76 (2009) 1163 1176 The INNORISK Managing opportunities, risks and uncertainties project is a 3-year (2006 2009) joint research project between the Corporate Foresight
/Technological forecasting & Social Change 76 (2009) 1163 1176 autumn. Potential climate change effects are added then to the seasonal plan
/Technological forecasting & Social Change 76 (2009) 1163 1176 The positioning of the case projects in the Fig. 4 can be explained by the types of projects:
/Technological forecasting & Social Change 76 (2009) 1163 1176 Fig. 1. However, the normal monitoring and evaluation actions are conducted
/Technological forecasting & Social Change 76 (2009) 1163 1176 4. 3. Lessons learned from the case projects The basic lessons learned from the case projects are shown in Table 1. The case projects of this paper (IRRIIS, INNORISK,
/Technological forecasting & Social Change 76 (2009) 1163 1176 than the FTA PROCESS. In turn, there is a shift towards a more contingent approach also in risk assessment as is in FTA APPROACH.
Technology analysis & Strategic management 21 (3)( 2009) 381 405.3 R. Smits, S. Kuhlmann, The rise of systemic instruments in innovation policy, Int. J. Foresight Innov.
/Technological forecasting & Social Change 76 (2009) 1163 1176 5 European commission, Thinking, Debating and Shaping the Future:
EFMN European foresight monitoring Network, 2009, Available at http://www. foresight-network. eu/files/reports/efmn mapping 2007. pdf (Read July 8th 2009.
Theory, Methods and Applications, Taylor & francis Group, London, 2009, ISBN 978-0-415-48513-5. 29 J. Paasi, P. Valkokari, P. Maijala
1999.42 JRC and IPTS FOR-LEARN On-line Foresight guide in http://forlearn. jrc. ec. europa. eu/guide/4 methodology/framework. htm (read May 28th 2009).
43 Arlington Institute. http://www. arlingtoninstitute. org/(read May 28th 2009. 44 H. H. Willis, Using Risk analysis to Inform Intelligence Analysis. RAND Infrastructure, Safety and Environment,,
/Read May 28th 2009. 45 Futuríbles, THE Strategic Environment for Companies: Guideline Scenarios General Summary, 2004 http://www. futuribles. com/pdf/Strategicenvironment. pdf. Read 28th 2009.
Prof. Raija Koivisto has over twenty years experience in safety, security, risk assessment and foresight related research at VTT.
/Technological forecasting & Social Change 76 (2009) 1163 1176 Dr. Toni Ahlqvist is Senior Research scientist and Team Leader of Technology foresight and Technology assessment team at VTT.
/Technological forecasting & Social Change 76 (2009) 1163 1176
ART2.pdf
Frontiers of futures research: What's next? Theodore J. Gordon, Jerome C. Glenn*,Ana Jakil American Council for the United nations University, 4421 Garrison Street N w.,WASHINGTON DC 20016, United states Received
ART20.pdf
Received 10 november 2008 Received in revised form 11 june 2009 Accepted 15 july 2009 Along with increasing significance of innovation in socioeconomic development grows the need to utilize future-oriented knowledge in innovation policy-making.
and gives perspectives for the future development of barometer. 2009 Published by Elsevier Inc. Keywords: Innovation policy Science and Technology indicators Barometer Future-oriented knowledge 1. Introduction A growing number of different international comparison systems of the economic and innovation performance of nations have emerged within a decade 2
and sometimes even elusive issues and they often seem easier to interpret by the Technological forecasting & Social Change 76 (2009) 1177 1186 Corresponding author.
0040-1625/$ see front matter 2009 Published by Elsevier Inc. doi: 10.1016/j. techfore. 2009.07.011 Contents lists available at Sciencedirect Technological forecasting & Social Change general public than finding a common trend among many separate indicators.
/Technological forecasting & Social Change 76 (2009) 1177 1186 The theoretical framework of technology barometer is based on various economic development stages since the first barometer exercise in 2004.
/Technological forecasting & Social Change 76 (2009) 1177 1186 composite indicators to avoid datamanipulation andmisrepresentation 1. OECD publications 1,
/Technological forecasting & Social Change 76 (2009) 1177 1186 3. 2. Survey study of future visions In addition to indicator-based comparison the technology barometer instrument includes a survey about people's expectations regarding the future development trends.
/Technological forecasting & Social Change 76 (2009) 1177 1186 272, were 2nd year students sitting for their matriculation examination.
/Technological forecasting & Social Change 76 (2009) 1177 1186 most notably in terms of social needs and innovation policy interest, for the kinds of insights that the technology barometer exercise can deliver.
/Technological forecasting & Social Change 76 (2009) 1177 1186 indicators. Moreover, the process of developing Finnish national strategic centres for science, technology and innovation is underway in the technology fields with future importance for businesses and the society.
/Technological forecasting & Social Change 76 (2009) 1177 1186 Appendix B. Technology barometer 2007 Technology instrument for measuring citizens'attitudes and the nation's orientation towards a knowledge-based
/Technological forecasting & Social Change 76 (2009) 1177 1186 References 1 M. Nardo, M. Saisana, A. Saltelli, S. Tarantola, A. Hoffman, E. Giovannini, Handbook
/Technological forecasting & Social Change 76 (2009) 1177 1186
ART21.pdf
The methodology combination of a national foresight process in Germany Kerstin Cuhls a,, Amina Beyer-Kutzner b, Walter Ganz c, Philine Warnke d a Fraunhofer Institute for Systems and Innovation research (ISI), Breslauer Str. 48,76139 Karlsruhe, Germany
Received 17 november 2008 Received in revised form 11 june 2009 Accepted 15 july 2009 In September 2007,
All of them are specifically knowledge dynamic fields. 2009 Elsevier Inc. All rights reserved. Keywords: Foresight process Fully fledged foresight Bibliometrics Strategic partnerships Research alliances 1. Introduction In September 2007, the Federal German Ministry for Education and Research (BMBF) launched a new foresight process
Technological forecasting & Social Change 76 (2009) 1187 1197 Corresponding author. E-mail address: kerstin. cuhls@isi. fraunhofer. de (K. Cuhls.
0040-1625/$ see front matter 2009 Elsevier Inc. All rights reserved. doi: 10.1016/j. techfore. 2009.07.010 Contents lists available at Sciencedirect Technological forecasting
/Technological forecasting & Social Change 76 (2009) 1187 1197 The topics were handled, internally assessed and reassessed several times via an internal database and scientific papers.
in order to identify candidates for potential strategic partnerships which are proposed in 2009 at the end of the whole process (Objectives 3 and 4). In the last phase of the process,
/Technological forecasting & Social Change 76 (2009) 1187 1197 The topic fields were: 1. Life sciences and biotechnology 2. Information and communication technology 3. Materials and their production processes 4. Nanotechnology 5. Optics/photonics/optoelectronics 6. Industrial production processes
/Technological forecasting & Social Change 76 (2009) 1187 1197 3. 2. Search phase of the process The second phase of the foresight process encompassed a further national and international search, interviews with Monitoring Panel participants,
/Technological forecasting & Social Change 76 (2009) 1187 1197 For the survey, in September 2008 altogether 19.365 persons from German companies, academia, associations and single persons (consultants or persons
As an incentive, all participants who included their e-mail received the summarised results (beginning of 2009.
/Technological forecasting & Social Change 76 (2009) 1187 1197 3. 4. Some results In the end, eight new future fields (broader fields) with a different perspective as well as single future topics in all 20
and research alliances (objectives 3) and 4)) to be elaborated in 2009 9, 10. The workshop took place in Hamburg
/Technological forecasting & Social Change 76 (2009) 1187 1197 How are organisations or companies in other countries dealing with crosscutting issues and future topics with a time horizon of 10 to 15 years and beyond?
The challenge for the BMBF Foresight process from 2009 onwards was the design of concrete strategies to address some of the topics identified.
These talks and first workshops took place in spring 2009. All of them were tailor-made adapted to the needs of the BMBF departments (as a kind of service)
/Technological forecasting & Social Change 76 (2009) 1187 1197 Reconfiguring the policy system: in a way that makes it more apt to address long-term challenges.
In the integration phase of the process in 2009, the embedding is realised step by step. But it is definitely too early in the process to exhaustively evaluate the impacts according to these five dimensions.
/Technological forecasting & Social Change 76 (2009) 1187 1197 divisions (Abteilungen and Referate) and experts in BMBF were organised very cautiously
in 2009, general elections will be held in Germany. Until now, all German foresight processes ran into election times 19 which made it difficult to continue with the implementation preparations as intended.
even if the large process is acknowledged not after the next general elections in 2009, there is already an impact on some of the ministerial departments.
/Technological forecasting & Social Change 76 (2009) 1187 1197 22 P. Warnke, G. Heimeriks, Technology foresight as innovation policy instrument:
/Technological forecasting & Social Change 76 (2009) 1187 1197
ART22.pdf
Scenario planning in public policy: Understanding use, impacts and the role of institutional context factors Axel Volkery, Teresa Ribeiro European Environment Agency, Strategic Futures Group, Kongens Nytorv 6, DK 1050
Received 24 november 2008 Received in revised form 15 july 2009 Accepted 27 july 2009 Scenario planning has formed a growing area of interest on the interface of academia and public and private sector policy-making.
We synthesize our analysis with a discussion of further research needs. 2009 Elsevier Inc. All rights reserved.
and international organisations 1. Technological forecasting & Social Change 76 (2009) 1198 1207 This article does not represent any official opinion of the European Environment Agency,
http://wwics. si. edu/subsites/lookingforward/index. htm. 0040-1625/$ see front matter 2009 Elsevier Inc. All rights reserved. doi:
and vice versa 13.1199 A. Volkery, T. Ribeiro/Technological forecasting & Social Change 76 (2009) 1198 1207 The limitations of the policy cycle concept have been discussed widely.
& Social Change 76 (2009) 1198 1207 and organisational performance. To identify relevant literature a number of experts were asked for suggestions.
The value in close collaboration between scenario 1201 A. Volkery, T. Ribeiro/Technological forecasting & Social Change 76 (2009) 1198 1207 developers and users, particularly at the beginning and ending stages of a scenario exercise,
T. Ribeiro/Technological forecasting & Social Change 76 (2009) 1198 1207 4. Reviewing practitioners'perspectives 4. 1. Relevance
A. Volkery, T. Ribeiro/Technological forecasting & Social Change 76 (2009) 1198 1207 UK government's strategy on flood and coastal erosion risk management,
T. Ribeiro/Technological forecasting & Social Change 76 (2009) 1198 1207 made, however, towards getting scenario planning more fully incorporated into processes of policy design, choice and implementation.
From this point of view, some general rules of 1205 A. Volkery, T. Ribeiro/Technological forecasting & Social Change 76 (2009) 1198 1207 conduct can be agreed on,
A Review Of Evaluative Scenario literature, Technical Report 3/2009, Copenhagen, EEA, 2009.3 R. J. Lempert, S. Hoorens, M. Hallsworth, T. Ling, Looking
, 2005.15 T. R. Dye, Understanding Public policy, Prentice hall, Englewood Cliffs, NJ, 1984.1206 A. Volkery, T. Ribeiro/Technological forecasting & Social Change 76 (2009) 1198
She is a member of the Global Agenda Council on Strategic foresight of the World Economic Forum. 1207 A. Volkery, T. Ribeiro/Technological forecasting & Social Change 76 (2009) 1198 1207
ART23.pdf
Received 17 november 2008 Received in revised form 15 july 2009 Accepted 27 july 2009 The democratic deficit (the‘deficit'hereafter) in present institutional Foresight(‘Foresight'hereafter) lies in its participation regime.
and environmentally responsive nano artifacts. 2009 Published by Elsevier Inc. Keywords: Foresight Inclusivity Critical systems Heuristics Nanotechnology 1. Institutional Foresight Institutional Foresight programmes(‘Foresight'hereafter) now occupy a prominent position in the minds of public policy makers.
Despite this belief, almost all Foresight implied wider dimensions Technological forecasting & Social Change 76 (2009) 1208 1221 Corresponding author.
0040-1625/$ see front matter 2009 Published by Elsevier Inc. doi: 10.1016/j. techfore. 2009.07.013 Contents lists available at Sciencedirect Technological forecasting & Social Change stretching into social, ecological, political and value matters.
which has undergone such a marked erosion in recent years with the shift towards a postmodern world 1209 D. Loveridge, O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221-A dissatisfaction
great patience and extremely good communication skills will be needed. 1210 D. Loveridge, O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221 clime.
O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221 2. 3. Coping with social inclusion Wider participation in Foresight faces severe but not insurmountable obstacles.
and society 1212 D. Loveridge, O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221 4. Participants from the fields of ethics, theology, social theory
O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221 but usually rate themselves as‘familiar,
1214 D. Loveridge, O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221 Widespread participation Inclusivity explicitly needs widespread participation and, because of the breadth of the behavioural traits
O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221 CSH claims to recognise existing inequalities of wealth, status, power, authority, gender, race and sexual orientation
O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221 4. 1. 2. Sources of power 4. The management process of Inclusive foresight ought to be open for all to see
23.1217 D. Loveridge, O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221 5. Foresight's democratic deficit and nano artifacts The root of Foresight's deficit lies
technological feasibility and artifact desirability of a nano artifact. 1218 D. Loveridge, O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221 participation in Foresight relating to these issues.
VALS is a consumer Fig. 4. Growth of a critical mass favouring public acceptance. 1219 D. Loveridge, O. Saritas/Technological forecasting & Social Change 76 (2009) 1208
Critical systems Thinking for Citizens and Managers, Working Paper No. 23,1998. 1220 D. Loveridge, O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221 23
both are at the Manchester Institute of Innovation research at the Manchester Business school, the University of Manchester. 1221 D. Loveridge, O. Saritas/Technological forecasting & Social Change 76 (2009) 1208 1221
ART24.pdf
Received 24 november 2008 Received in revised form 15 july 2009 Accepted 17 july 2009 Potentially breakthrough science
This involved the inclusion of pre-engagement analysis of potential co-evolutions in the form of scenarios into interactive workshop activities, with the aim of enabling multi-stakeholder anticipation of the complexities of co-evolution. 2009
Technological forecasting & Social Change 76 (2009) 1222-1239 Tel.:++33 621 716 728 (mobile. E-mail address:
robinson@emerging technologies. eu. 0040-1625/$ see front matter 2009 Elsevier Inc. All rights reserved. doi: 10.1016/j. techfore. 2009.07.015 Contents lists available at Sciencedirect Technological forecasting
& Social Change 76 (2009) 1222-1239 There is increasing recognition that innovation emergence is a nonlinear process,
& Social Change 76 (2009) 1222-1239 Sociologically inclined innovation scholars have focused on analysing and prospecting innovation/selection activities, studying open-ended situations of emergence,
& Social Change 76 (2009) 1222-1239 Fig. 1. Innovation chain+as a mosaic of co-evolving arenas of innovation and selection with innovation journeys showing coupling, shifting,
deadends etc. 1226 D. K. R. Robinson/Technological forecasting & Social Change 76 (2009) 1222-1239 For structuring the co-evolutionary scenario narratives,
and the role of technology platforms which came about through institutional entrepreneurship between the framing conditions, the bubbles and the coordinating bodies. 1227 D. K. R. Robinson/Technological forecasting & Social Change 76 (2009) 1222
1228 D. K. R. Robinson/Technological forecasting & Social Change 76 (2009) 1222-1239 Fig. 3. Evolution of governance, 2000 2008.1229 D. K
. R. Robinson/Technological forecasting & Social Change 76 (2009) 1222-1239 It is not in the scope of this paper to detail the case history of the emergence of RRI for nanotechnology,
& Social Change 76 (2009) 1222-1239 3. 2. The scope of the workshop and the nano context at the time From the situation outlined in Section 3. 1,
& Social Change 76 (2009) 1222-1239 These elements provide building blocks to create three scenarios each of them a plausible story about how they might play out (including twists and turns).
The further effect is that this medical option becomes available only to those who can obtain it in another way through private clinics. 1232 D. K. R. Robinson/Technological forecasting & Social Change 76 (2009
& Social Change 76 (2009) 1222-1239 option emerges but is only available for a limited number of people.
(and flourish) to take the university research to the market, 1234 D. K. R. Robinson/Technological forecasting & Social Change 76 (2009) 1222-1239 with the prospect of takeover by larger firms in 3 to 4
5. 1. 2009 2010 nano development boom The self-imposed standards for manufacture work as a minimum safety requirement,
& Social Change 76 (2009) 1222-1239 aimed at temporary governance of developments are expected to reduce pressure on regulators so not supplanting regulation but inhibiting it all the same (regardless of good intentions).
while some nanomaterials will be produced below that level. 1236 D. K. R. Robinson/Technological forecasting & Social Change 76 (2009) 1222-1239 standards causes complication:
and interact within multi-stakeholder workshops. 1237 D. K. R. Robinson/Technological forecasting & Social Change 76 (2009) 1222-1239 The scenarios use endogenous futures,
33 1238 D. K. R. Robinson/Technological forecasting & Social Change 76 (2009) 1222-1239 30 A. Rip, R. Kemp, Technological change, in:
Alongside this, he is also a part-time Technical Analyst at the Institute of Nanotechnology (UK) focusing on nanotechnologies in the agrifood sector. 1239 D. K. R. Robinson/Technological forecasting & Social Change 76 (2009) 1222-1239
ART25.pdf
12 oct 2009. To cite this article: Ozcan Saritas, Cristiano Cagnin, Attila Havas & Ian Miles (2009) Impacts and implications of future-oriented technology analysis for policy and decision making, Technology analysis & Strategic management, 21:8, 915-916, DOI:
10.1080/09537320903262272 To link to this article: http://dx. doi. org/10.1080/09537320903262272 PLEASE SCROLL DOWN FOR ARTICLE Taylor & francis makes every effort to ensure the accuracy of all the information (the Content) contained in the publications on our platform.
ozcan. saritas@mbs. ac. uk ISSN 0953-7325 print/ISSN 1465-3990 online 2009 Taylor & francis DOI:
ART26.pdf
12 oct 2009. To cite this article: Per Dannemand Andersen & Mads Borup (2009) Foresight and strategy in national research councils and research programmes, Technology analysis & Strategic management, 21:8, 917-932, DOI:
10.1080/09537320903262280 To link to this article: http://dx. doi. org/10.1080/09537320903262280 PLEASE SCROLL DOWN FOR ARTICLE Taylor & francis makes every effort to ensure the accuracy of all the information (the Content) contained in the publications on our platform.
pean@man. dtu. dk ISSN 0953-7325 print/ISSN 1465-3990 online 2009 Taylor & francis DOI:
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