This paper has its starting point in the background analysis of the Lithuanian energy sector after closing down the only Lithuanian nuclear power plant in 2010. Based on the hypothesis that one of the main governance failures in this sector leading to weak industry level strategies is the lack of participatory debate and sufficient linkages between the different actors involved in the dynamic of the energy sector in Lithuania, this paper proposes industry level foresight as an instrument of long term planning. Foresight exercises could become an important instrument for reorienting energy sector policy, building new networks and linkages among the different actors, bringing new stakeholders into the strategic debate, exploring future opportunities State investment (including R&D), etc. The primary objective of this paper is therefore the design of a foresight exercise on energy sector with the aim of producing a long term strategy for this sector. The secondary objective is to address a topic on how to select foresight methods at industry level. The argument is that a better understanding of the fundamental attributes of foresight methods and their linkages to the core phases of a foresight process can provide useful insights as to how the selection of methods is carried out. The method applied in this paper is dual: firstly, the synthesis of the academic literature on the selection of foresight methods is carried out; secondly, the comparative case study analysis of three foresight cases in the Baltic Sea Region (Poland, Finland and Russia) is applied. Case study analysis allows to explore the usage of foresight methods at industry level in the Baltic Sea Region and to understand if there are any similarities in the approach, also to explore success factors and weaknesses. The analysis in this paper is comprised of four main parts. The first part provides a background analysis on the energy sector in Lithuania and justification for the foresight exercise. Second part describes the underlying frameworks and definitions in the field of foresight research. The third part develops a comparative analysis of case studies of industry level foresight. The third part provides recommendations for energy sector foresight methodology in Lithuania. The paper combines concepts and frameworks from literature (such as the Foresight Process and the Foresight Diamond) with comparative practical case study analysis. The results can be utilised by lecturers and students to describe and understand better the use of foresight methods at industry level, and by practitioners of foresight to better inform decisions during the design of more coherent methodological frameworks; as well as by the energy sector stakeholders in Lithuania and other countries.

We wonder how it is possible to use the Electroencephalogram (EEG) as a TA instrument, rather than a diagnosis procedure, to evaluate how children hear the sounds. The first concern was related to the definition of concepts, namely the primary and secondary objectives, the importance of the study, the materials and equipment, the procedures, the criteria for inclusion and exclusion and the expected outcomes. We present the main research questions, the proposed methodology and report the first steps of the practical work, some results and a few considerations about the thesis next development.

Technology assessment is essentially an approach, a collective of the systematic methods used to scientifically investigate the conditions for and the consequences of technology and technicising and to denote their societal evaluation. It is an investigation about the technological developments as well as an evaluation of its potential impacts on society. The assessment of emerging technologies, however, requires special attention. Brain-Computer Interface (BCI) is an emerging technology which allows for the direct communication between the brain and an external device. It is a truly direct connection, with no use of the normal output pathways of peripheral nerves and muscles, allowing for the brain to have control over objects and software without intermediates. To address these kinds of technologies at early stages of development, Constructive Technology Assessment (CTA), a member of Technology Assessment approaches, has been considered as one of the most fitting approaches. As an emerging technology, BCI is at its early stages of research and thus many challenges are still ahead. Mainstream adoption is not expected in least 10 years many challenges are yet to be overcome. Therefore, the objective of this article is to discuss and present a methodological approach to assess brain-computer interface technology considering constructive technology assessment and future oriented technology analysis as the main processes to undertake the assessment. The assessment will focus only on the non-invasive type of BCI and for medical applications in three defined areas: Communication & Control, Motor Substitution and Motor Recovery for a time horizon of 10 years, 2022. These areas were chosen based on the capability of BCI to serve as a replacement of normal neuromuscular pathways. That makes it one of the best technologies to help people in activating and controlling assistive technologies which enable communication and control of the environment. However, the real impacts of BCI will depend directly on the development of competing technologies, and also on the improvement in BCI research. Only then, the potential applications and end users could grow dramatically.

Change is happening at an ever faster rate today, driven partly by technological changes leading to changes in all other areas of our lives. Today’s global trends, uncertainties, and surprises have the potential to significantly change the way the world works tomorrow. Shaping the world we want to live in means being more aware of the future and seeking better approaches. In such increasingly uncertain environment, planning uncertainties force policy and decision makers to foster future-oriented technology analyses (FTA) by using foresight methodologies. FTA can help us react on the likely directions of technologies, manage the risks involved and shape technological trajectories in order to improve the long term benefits to society. Foresight methodologies seek to gather data and make sense of it so that people can think in different and new ways about the future. That data might be collected from humans or from the analysis of documents and artefacts, or both. The data might be analysed using qualitative or quantitative techniques, or both. To be used in strategy processes, however, data needs to be analysed, interpreted and used in ways that make sense to the organisation. There is no single set of methods used in all foresight activities. The methods used need to reflect the resources available and the objectives of the exercise. The choice of methods is critical, though it often appears to be based upon what is fashionable or which practitioners have experience in. The methods may be organised and interrelated in different ways. In other terms, the conduct of foresight analyses needs to be tailored to the type. The first thing to do is to choose the right methods which are most appropriate to the analysis and technology characteristics. One of the substantial advances has been a move away from a tool or method driven approach to one which relies on the selection of tools in accord with their appropriateness for the particular issue being examined, their relative strengths and limitations. Thus, the experience of observing so many developing nations attempting to conduct a Japanese style Delphi survey, with an extremely limited number of ‘experts’ and doubtful relevance of estimated technology realisation times to their economy, indicates the need to develop foresight appropriate to local conditions. Their use and contribution will be determined primarily by the values, structures and cultures of the organisations applying them. This paper will try to discuss the importance of future oriented technology analysis, in particularly technology foresight, and the question of how to select the best methodology among the existing ones. Although this paper intends to lay a framework and cover the tools used in technology futures analysis, in particularly emerging air transportation technologies, a full understanding of each of these tools is out of this paper. The conduct of analysis needs to be tailored to the type. The first thing to do is to choose the right tools which are most appropriate to the analysis and the technology characteristics. Thus, we have to set the criteria and figure out key aspects and factors for designing our research. In our case, the key aspects and factors are: it is a long term vision for 10-15 years later; an emerging air transportation mode; a socio- technological system of systems in transportation area which is composed of resources and stakeholders network, drivers and disruptors; and also normative, both qualitative and quantitative, national and global. The probably research tools that can be used are; agent based modelling, cost benefit analysis, scenarios, impact analysis, case study (Visioning), subjective judgement, roadmap, interviews, benefit visualization tool, literature reviews, and attending conferences.