Instruments to measure Foresight
Foresight is a powerful tool that is frequently applied in response to major challenges facing science, technology, and innovation policy. With the use of Foresight studies, policy makers give a clear indication to the science, technology, and innovation community that policy making is considering a bottom-up approach rather than a purely top-down one. Foresight exercises go beyond simple predictions to become anticipatory intelligence, based on a wide diversity of viewpoints, and knowledge sources. Due to the varying nature and characteristics of Foresight studies, there is no “one indicator that fits all” – different motivations and objectives, different methods and techniques, imply different outputs and outcomes. Hence the indicators we use to describe the studies may take on different meanings – even quantitative indicators can require a great deal of interpretation. Furthermore, the longer-term impacts of the work cannot be assessed in the immediate aftermath of the work. But while many indicators are tailor-made for specific Foresight studies, and are not necessarily fully comparable with those of other different Foresight studies, it is possible to learn from experience and use the indicators and indicator frameworks of earlier Foresight exercises in later ones.
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.
Today the global energy industry is undergoing major changes shifting towards the green growth and circular economy solutions. The paper offers the outcomes of the foresight study of the Russian renewable energy sector and focuses on three areas: converting solar energy into electricity; converting wind energy into electricity; and converting biomass into thermal energy and electricity. The goal of the study was to foresee and agree on the visionary future for the nascent renewable energy sector in the country, as well as to provide the scientifically justified grounds for government and corporate decision-makers. The research is based on a mixture of methods: bibliometric analysis and text mining, literature review, expert surveys and interviews, workshops, STEEPV analysis of trends, scenario analysis, and applied policy analysis. As a result of the study, major trends and uncertainties that may affect the Russian and global renewable energy sector in the next 15-20 years were identified. Other results include the scenarios for Russia’s renewable energy sector that are proposed together with recommendations for the Russian companies and public authorities. The study’s policy and market implications go beyond Russia: the outcomes may be useful for similar studies, early stage renewable energy policy planning and investment decision.
This paper proposes an approach to comparing and assessing the policy settings in the European low-carbon energy scenarios. First, it presents the methodology including ten characteristics for scenario assessment: modelling framework (diversity), ambitiousness of the targets 2050, relations with other (European) countries, stakeholder involvement, technology options, non-technological aspects, economic component, usage of scenarios in policy design, intermediate indicators of targets' achievement and revision of scenarios. Further, it uses qualitative and quantitative methods to evaluate energy scenarios developed in six north-west European countries (the Netherlands, Germany, France, Denmark, the UK, Belgium). Finally, conclusions are made concerning the possible ways of scenario design improvement. The analysis has shown that all selected countries have potential for modifying their energy scenarios, which being implemented may help to achieve the joint European targets 2050. Since these countries are socially and economically interrelated, a more harmonised approach to scenario development is needed to be designed and introduced on the EU level. Ten characteristics proposed in this study may serve as an initial input for such harmonisation. The results can be of interest to economists, business and academic representatives, and especially policy makers involved in the long-term energy scenario development on the international, regional and national level.
This paper performs a quantitative analysis of trends in technology mining (TM) approaches using 5 years (2011–2015) of Global TechMining (GTM) conference proceedings as a data source. These proceedings are processed with a help of Vantage Point software, providing an approach “tech mining for analyzing tech mining.” Through quantitative data processing (bibliometric analysis, natural language processing, statistical analysis, principal component analysis (PCA)), this study presents an overview, explores dynamics and potentials for existing and advanced TM methodologies in three layers: related methods, data sources, and software tools. The main groups and combinations of TM and related methods are identified. Key trends and weak signals concerning the use of existing (natural language processing (NLP), mapping, network analysis, etc.) and emerging methods (web scraping, ontology modeling, advanced bibliometrics, semantic the theory of inventive problem solving (TRIZ), sentiment analysis, etc.) are detected. The results are considered to be taken as a guide for researchers, practitioners, or policy makers involved in foresight activity.
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)
The publication was prepared in the scope of the European Union’s Seventh Framework Programme for Research, Technological Development and Demonstration Activities “Advancement of the Bilateral Partnership in Scientific Research and Innovation with the Russian Federation”. The paper presents an analysis of best practices in STI priority setting in the EU member states (UK, Germany, and Finland) and in the Russian Federation; compares priority systems adopted by various European countries; and identifies prospective subject areas for further development of international cooperation.
The materials included in the publication will help public authorities, companies, R&D organisations, universities, technology platforms, innovative territorial clusters, and other organisations to identify priority development areas, subject fields, and critical technologies.
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 technological foresight plays a significant role in promotion of the emerging technologies. The paper investigates technological prospects of priorities implementation indicated in the ‘Strategy for the Scientific and Technological Development of the Russian Federation’. More precisely, we examine the advanced digital and intelligent production technologies deployment by applying foresight methods and new solutions such as an advanced text-mining. The main goal of the study is to define a range of the most promising technologies with respect to markets and products within the priority. We identified five large cross-cutting areas manifesting physical and digital convergence. These clusters include computer modelling and flexible manufacturing systems from the production side, and sensor technologies, virtual/augmented reality, the Internet of Things from the IT side. The revealed technological trends correspond to global patterns and unveil a range of sectoral applications. Product development technologies are confessed to be the core of digital manufacturing. During the analysis we uncovered 350 prospective products and services that should be exposed to further expert evaluation. Our results offer a new insight on science and technology policy-making by adjusting technology development across industries. A suggested framework allows expanding current boundaries of forecasting activities at the national level in order to boost Russian scientific performance.