The Science Foresight Project Using Experts Selected by Co-citation Analysis December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence A Dstl - SPRU Collaboration Investigators Dr. Sylvan Katz – SPRU Ms. Sally Stewart –Dstl Advisors Prof. Ben Martin – SPRU Dr. Theresa Gow – Dstl December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Project Aims To design and assess a simple, objective and cost-effective technique to gather information about emerging short and longterm research developments, primarily in the physical and engineering sciences, using experts selected through co-citation analysis. December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence General Activities 1. Select experts using co-citation techniques 2. Design questionnaire and prepare web site 3. Administer questionnaire and gather predictions 4. Categorize and summarize predictions and prepare final report December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence What is a Co-citation? 1985 – 1998 Publications Indexed in ISI databases A B C 1999 Publications Index in ISI databases December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence 1999 ISI Research Fronts database • Papers selected from more than 15 million publications indexed in ISI databases • Contains 160,964 co-cited documents published between 1985 and 1998 that were co-cited by papers published in 1999 • Each co-cited paper was cited at least 6 times • Clustered into 22,866 groups containing between 2 and 50 documents • 146,566 co-cited publications were indexed in the Science Citation Index (SCI) December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Pairs, Clusters and Research Fronts • The greater the frequency of co-citation of a given pair, the greater the likelihood that it defines an established or emerging topic or subspecialty • One pair can usually identify a small research front, but active research fronts generally involve several interrelated co-citation pairs • The larger the number of pairs included in a cluster, the broader the scope • A paper is placed in one and only one cluster • A large cluster ≈ Research Front • Clusters named using keywords: • ultrasound contrast agents; myocardial perfusion; 2nd harmonic imaging; improved myocardial contrast; and contrast December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Schematic: Cluster Q Research Front Research Front A–E Co-cites = 2 G–E Co-cites = 1 December 2001 © Dstl 2001 A–B A–C Co-cites = 5 Co-cites = 8 A–D C–D Co-cites = 3 Co-cites = 6 D–F Co-cites = 2 H–F Co-cites = 1 Dstl is part of the Ministry of Defence Selecting the Experts • Selection technique had to be objective, robust and repeatable • No manual selection and repeatable by others • Sixty-six science and engineering fields of potential interest were identified and an appropriate number of clusters in each field were determined • MOD Technology Strategy Issue #3; Technology Taxonomy Issue #5 • Approximately 500 of the most representative clusters were selected based on a well-defined set of rules • The most highly cited paper published in the 1990s was chosen from each cluster and the authors of these papers were used to prepare the list of experts December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Rules for Selecting Clusters and Papers • Determine number of • Papers, P, in each SCI field in Research Fronts database • Papers & citations for paper in each SCI field in each cluster • Clusters, C, needed to represent a SCI field • Approx. 500 papers required for this project • C = 0.0055 P and if C = 1 then set C = 2 • For each SCI field • Select clusters with the largest number of papers in field • in case of tie select cluster with most highly cited paper in field • Remove redundant clusters from list of all clusters • Produced 483 clusters for this study (481 used) • Select most highly cited paper in each cluster irrespective of SCI field December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Example of a cluster ISI Cluster ID 550B1F45: EPSON LIQUID-CRYSTAL TELEVISION; PATTERN-RECOGNITION; PSEUDORANDOM PHASE-ONLY MODULATION; BINARY PHASE-ONLY FILTERS; LIQUID-CRYSTAL TV JUDAY, RD et al, APPL OPTICS, 1993, OPTIMAL REALIZABLE FILTERS AND THE MINIMUM EUCLIDEAN DISTANCE PRINCIPLE (18 cites, 9 co-cites) •LAUDE V et al, APPL OPTICS, 1994, MULTICRITERIA CHARACTERIZATION OF CODING DOMAINS WITH OPTIMAL FOURIER SPATIAL LIGHT-MODULATOR FILTERS (14 cites, 9 co-cites) •SOUTAR C et al, 1994, OPT ENG, MEASUREMENT OF THE COMPLEX TRANSMITTANCE OF THE EPSON LIQUID-CRYSTAL TELEVISION (11 cites, 6 co-cites) •COHN RW et al, APPL OPTICS, 1994 APPROXIMATING FULLY COMPLEX SPATIAL MODULATION WITH PSEUDORANDOM PHASE-ONLY MODULATION (6 cites, 4 co-cites) •COHN RW et al, APPL OPTICS, 1996, PSEUDORANDOM PHASE-ONLY ENCODING OF REAL-TIME SPATIAL LIGHT MODULATORS (6 cites, 4 co-cites) December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Author’s comments “[delete name] did a post-doctoral fellowship with me, and I have worked with [delete name] in two fashions (a contractor to NASA and as a NASA-funded university researcher). [delete name] reviews papers for me, and his PhD advisor ([delete name], who is a long-time colleague and friend) was the coauthor with [delete name]. ” “Directly to your question, the co-citation data indeed make sense, since in the case of [delete name] work my 1993 paper is a quantitative approach to a similar problem that he has been working at on a more ad hoc basis, and my 1993 paper is cited in the [delete name] et al. paper as a somewhat different approach to a similar problem. ” December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Contacting the Experts • 2120 authors were listed on 481 papers; • First named author corresponds to first named institution; • First author used as contact author; • Contact details for 424 of 481 authors located with nearly 100% certainty using Internet resources; • Invitations to participate in project by mail • Follow-up communication primarily by email December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Questionnaire 1. Background information - Current contact details, employer and research interests, etc; 2. Emerging developments in science - descriptions of emerging short and long-term development; multiple choice technological spin-offs question; 3. Factors affecting developments - multiple choice questions to determine how factors such as funding and collaboration are likely to affect the emerging developments; 4. Driving forces in science - ranking questions to determine how specific driving forces, such as availability of resources and developments in instrumentation, are likely to affect the emerging developments. December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Expert Demographics • Responses from authors of 114 papers • 23.7% of selected papers • International community of experts • number proportional to size of science system • Senior people • professor 62%, senior scientist 22% • 36 – 55 years of age • In research field for 11 to 30 years • Basic physical and engineering science research • basic 63%, applied 23%, strategic 13% • Reside primarily in academic institutions • academic 73%, government 10%, industry 7% December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Summarizing Predictions • Extract one or two sentences that appeared to summarise the main focus of each prediction • Group summaries into 10 emerging development categories having common themes • No attempt was made to judge, criticise or interpret a prediction • The overview that preceded each summary table collated some of the predictions into a coherent structure to give the reader a sense of the scope, diversity and general impact of the predicted emerging developments December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Emerging Development Categories Category Short-Term Predictions Long-Term Predictions Atomic & Stellar Matter 17 (9%) 11 (10%) Biology & Biosphere 5 (3%) 5 (5%) Biomedical & Clinical 32 (17%) 17 (15%) Chemical & Materials 32 (17%) 20 (18%) Computers & Robotics 8 (4%) 4 (4%) Genomics & Proteomics 7 (4%) 5 (5%) Mathematical & Computational 25 (13%) 11 (10%) Molecular Matter 20 (11%) 12 (11%) Nano Science & Technology 21 (11%) 12 (11%) Optical & Quantum 23 (12%) 14 (13%) TOTAL 190 111 December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Nano Science & Technology ID Area Field 110 Biomedical Engineering 23 Biophysics Biomolecular Materials 20 Inorganic Chemistry 47 Engineering Semiconductor Technology 54 Materials Science 2 Physics 48 Ceramics Condensed Matter Experimental Condensed Matter Physics December 2001 © Dstl 2001 Prediction Light powered nanotechnology - pulsed lasers and light sources provide a means of confining thermal energy and stress energy into small structures. They could provide an energy source for nanomachines, for example to switch activity on and off. Micromachines inspired by non-equilibrium cellular machines. How to get from the nanoworld to the real world: connecting nanostructures to microstructures. Nanobiotechnology: nantechnological devices that enhance control/monitoring of biologic processes (e.g. DNA analysis for every patient) and proteomics aided by nanotechnology. Biomimetics and the incorporation of biological aspects into material science will be used in nanotechnology and miniaturisation providing materials with novel properties. Carbon nanotubes used in flat panel displays, cathode ray/microwave tubes, and any device using electron field emission technology. Nanodevices and nanoelectronics based on the nano-transistor. Nano electrodes in living entities are possible. An increasingly interdisciplinary approach toward science; individual fields will lose much of their identity; synergistic approaches, such as nanoscience, will dominate. Dstl is part of the Ministry of Defence Overall Emerging Trends • Developments in mathematical and computational methods could underpin continued progress in many research areas. • A general drive to simulate phenomena from first principles. • An increasing need for new methods that can efficiently handle many entities, many variable problems, particularly to facilitate research that explores dynamic non-linear systems, selfassembly processes and complex mesoscale organisation. • Nano Science & Technology and Optical & Quantum predictions show promise to produce profound computational advances e.g. all optical computers and networks, nanoscale and quantum computing devices. December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Factors Affecting Development Funding Response No response Increase Decrease Stay the same Cannot predict General Applied 1 1 66 68 6 8 38 11 34 11 Graduate Students 1 44 32 34 11 Collaboration InterIntraIntersectoral sectoral national 1 1 2 84 87 94 3 1 2 30 4 28 5 20 4 Interdisciplinary 3 94 0 19 6 • optimistic that funding and all types of collaboration will increase • less optimistic that the number of graduate students will increase. December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Driving Forces Affecting Development 1 – not important Area Items Human Resources Grad. Students Post Docs Technicians Mathematical Techniques Computer Algorithms Hardware Data Visual. Materials Organic Inorganic Instrumentation Sensitivity Selectivity Resolution Stability Data Acquisition 5 – very important 1 1 1 8 6 6 5 5 25 22 13 15 13 13 12 Rating* 2 3 4 3 17 31 3 11 36 15 36 26 16 36 36 12 21 41 13 27 37 17 35 27 14 16 24 14 15 25 7 10 34 6 18 32 4 13 32 9 13 33 7 21 33 5 64 66 33 23 37 35 32 36 38 52 44 54 47 43 Weighted Average Rank 4.3 2 4.4 1 3.5 11 3.5 12 3.8 6 3.7 9 3.6 10 3.3 14 3.4 13 3.9 4 3.7 8 4.0 3 3.8 5 3.8 7 • Post docs, graduate students, improved instrumentation and computer algorithms & hardware important to achieving predictions December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Driving Forces and Disciplines Area Human Resources Mathematical Computer Materials Instrumentation Astronomy, Earth & Space Science and Physics Items Graduate Students 4.3 Post Docs 4.5 Technicians 3.6 Techniques 3.5 Algorithms 4.0 Hardware 4.0 Data Visualisation 3.6 Organic 2.6 Inorganic 3.4 Sensitivity 3.9 Selectivity 3.6 Resolution 4.1 Stability 3.9 Data Acquisition 3.9 December 2001 © Dstl 2001 Biomedical, Engineering Biophysics & Materials and Clinical Science Medicine 4.3 4.6 3.9 3.1 3.7 3.7 3.8 3.9 3.1 3.9 3.8 3.8 3.8 3.9 4.5 4.3 3.6 3.6 3.6 3.6 3.5 3.5 3.7 4.0 3.6 3.9 3.8 3.6 Chemistry Computer Science and Mathematics 4.0 4.2 3.1 3.1 3.4 3.5 3.6 4.0 3.9 4.1 4.2 4.2 4.0 4.0 4.6 4.0 2.9 4.1 4.1 3.6 2.7 1.9 1.9 2.3 2.3 2.3 2.3 2.3 Dstl is part of the Ministry of Defence Difficulties and Remedies • Minor technical difficulties; most easily corrected • Internet and Web standards will make administering secure on-line questionnaires less difficult • Knowledgeable resources to assist with preparation of summaries and conduct interviews • More time allowed for experts to respond • Consider use of electronic media for final report December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence Summary • Repeatable techniques that objectively identify experts • A low cost, time efficient foresight method that can be used in an on-going manner to collect and report, in an unbiased fashion, potential emerging research developments • Predictions provide an unbiased overview of potential developments in research fronts • Predictions can be used to aid scientists and engineers to keep them abreast of developments December 2001 © Dstl 2001 Dstl is part of the Ministry of Defence
© Copyright 2026 Paperzz