A methodology for technology trend monitoring: the case of semantic technologies
This paper introduces a systematic technology trend monitoring (TTM) methodology based on an analysis of bibliometric data. Among the key premises for developing a methodology are: (1) the increasing number of data sources addressing different phases of the STI development, and thus requiring a more holistic and integrated analysis; (2) the need for more customized clustering approaches particularly for the purpose of identifying trends; and (3) augmenting the policy impact of trends through gathering future-oriented intelligence on emerging developments and potential disruptive changes. Thus, the TTM methodology developed combines and jointly analyzes different datasets to gain intelligence to cover different phases of the technological evolution starting from the ‘emergence’ of a technology towards ‘supporting’ and ‘solution’ applications and more ‘practical’ business and market-oriented uses. Furthermore, the study presents a new algorithm for data clustering in order to overcome the weaknesses of readily available clusterization tools for the purpose of identifying technology trends. The present study places the TTM activities into a wider policy context to make use of the outcomes for the purpose of Science, Technology and Innovation policy formulation, and R&D strategy making processes. The methodology developed is demonstrated in the domain of “semantic technologies”.
One of the most important issues for the world society in the XXI century is a task to provide pure water for citizens. As evidenced results of expert survey, made by the Higher School of Economics
significant part of water sources for drinking water in Russia doesn’t meet necessary requirements. And one of the most adequate solutions to meet this challenge is using the nanotechnologies in processes of water purification that can solve the set of problems such as polluted sources, obsolete equipment, increased risk of diseases etc. Roadmap “Applying Nanotechnology to Water Treatment” was launched by summarizing opinions of expert community participants both national and foreign regarding the most significant nanotechnologies and products made with their help which are used or can be used for water treatment and purification purposes. The aim of the research is to make special innovation routes R&D-technologies-products-markets that could be used by federal and regional authorities and Russian companies working in the field of water purification. The roadmap becomes the first largescale national foresight exercise in the area of nanotechnologies for water purification.
This paper reports a Foresight exercise, which was carried out to develop a research strategy and a business model for the science park of Ankara University (AU). Science parks have been crucial elements of innovation systems both in developed and developing countries due to their role in bridging the gap between academia and business through knowledge spill-overs and spin-offs. Although there is a widespread consensus about the usefulness of the science park concept, the actual performance of science parks and how well they meet expectations have been controversial. This paper discusses the success factors for science parks. A three dimensional policy framework, which includes ‘complementarity’, ‘networking’ and ‘strategic scalar positioning’ is suggested to be taken into account during the design and operation of science parks. The paper describes the Foresight process and the policies and strategies developed by using the three dimensional policy framework proposed for the newly established science park at Ankara University.
The goal of the conference is to help build cross-disciplinary networks of analysts, software specialists, and researchers to advance the use of textual information in multiple science, technology, and business development fields. Within this context, conference themes will include, but are not limited to:
DataSourcing, preparing, and interpreting data sources including patents, publications, webscraping, and other novel data sources
Text-mining tools and methodsBest practices in software-based topic modeling, clumping, association rules, term manipulation, text manipulation, etc. Visualization
Applied researchFuture-Oriented Technology Analysis (FTA) Intelligence gathering to support decision-making in the private sector (e.g., Management of Technology)
Technology mining (TM) helps to acquire intelligence about the evolution of research and development (R&D), technologies, products, and markets for various STI areas and what is likely to emerge in the future by identifying trends. The present chapter introduces a methodology for the identification of trends through a combination of “thematic clustering” based on the co-occurrence of terms, and “dynamic term clustering” based on the correlation of their dynamics across time. In this way, it is possible to identify and distinguish four patterns in the evolution of terms, which eventually lead to (i) weak signals of future trends, as well as (ii) emerging, (iii) maturing, and (iv) declining trends. Key trends identified are then further analyzed by looking at the semantic connections between terms identified through TM. This helps to understand the context and further features of the trend. The proposed approach is demonstrated in the field photonics as an emerging technology with a number of potential application areas.
Purpose – This paper aims to depict foresight programmes as extended service encounters between foresight practitioners, sponsors, and other stakeholders. The implications of this perspective for evaluating the outcomes of such programmes are to be explored.
Design/methodology/approach – The range of activities comprising foresight is reviewed, along with the various objectives that may underpin these activities. The more substantial foresight programmes are seen in terms of a series of steps, in each of which various partners can be involved in generating service outcomes and later steps of the process. The arguments are illustrated with insights drawn from various cases.
Findings – A foresight programme is likely to feed into more than one policy process, so that the foresight activities can be linked to various stages of the policy cycles, as well as engaging participants with different degrees of inﬂuence on the policies in question. The outcomes of the foresight activity are also heavily shaped by the degree of involvement of various stakeholders, not least the sponsoring agency and any other groups it seeks to mobilise. Seeing foresight as a service activity brings to the fore the notion of co-production, and the importance of the design of the service encounters involved.
Research limitations/implications – The task of evaluating foresight is a challenging one, and comparison of foresight activities needs to bear in mind the different scale, scope, and ambitions of different programmes. Simple static comparison of formal inputs and outputs will miss much of the value and value-added of the activity.Practical implications – A dynamic approach to evaluation stresses the learning of lessons about the roles of multiple stakeholders – and the responsibilities of sponsors as well as practitioners. Originality/value – Foresight programmes are frequently commissioned, and often have signiﬁcant inﬂuence on decision-making. Attempts to systematically evaluate these efforts have begun, and this essay stresses the need to be aware of the complex interactive nature of foresight, highlighted by viewing it in service terms.
In the past decades Foresight has been significantly developed as a tool for long-term forecasting in the field of power generation and energy efficiency. Such research aims at investigation of the most promising innovation strategies in this area, identifying various (including alternative) ways to achieve technological and market goals with the participation of best qualified experts. Such Foresight method as Roadmapping is widespread in the world practice. It helps to shape complex and interrelated views on prospects of innovation development in specific areas of energy efficiency, it links R&D programmes with creation of technologies and products, as well as their subsequent commercialization. The paper provides an overview of the world Foresight experience aimed at creating vision of the future and building innovation strategies related to energy efficiency. Special attention is paid to the Russian research practice, in particular to different types of Foresight projects implemented by the specialists of State University - Higher School of Economics. The authors describe the results of main projects dedicated to shape the future of energy-efficient technologies and to develop of innovation strategies on their application.
The paper presents methods and algorithms for identifying complex concepts relevant for the domain of technological foresight within text collections. An approach based on the so called “black box” principle and combination of statistical and linguistic methods is proposed.
This illuminating book combines theory and practice to analyze the experiences and impacts of foresight activities in various European countries. It includes case studies with a focus on different societal issues including national development, science and technology, and sustainable development.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.
The paper studies a problem of optimal insurer’s choice of a risk-sharing policy in a dynamic risk model, so-called Cramer-Lundberg process, over infinite time interval. Additional constraints are imposed on residual risks of insureds: on mean value or with probability one. An optimal control problem of minimizing a functional of the form of variation coefficient is solved. We show that: in the first case the optimum is achieved at stop loss insurance policies, in the second case the optimal insurance is a combination of stop loss and deductible policies. It is proved that the obtained results can be easily applied to problems with other optimization criteria: maximization of long-run utility and minimization of probability of a deviation from mean trajectory.