Автоматизация проектирования технологических дорожных карт. Сбор информации и консолидация экспертных мнений
The paper represents methods of expert data collection, consolidation and evaluation for the purpose of development of knowledge bases. The methods assume processing the data with software tools. The data obtained are used for foresight studies, long-term forecasting and development of technology roadmaps (TRM). The technique provides users with the possibility to take various features of an expert into account, as well as to map expert data onto the field of interest of the TRM customer.
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)
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.
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.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.