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The concept of smart village emerged in the European Union (EU) level policy debates on rural development in 2016, following the stakeholder-driven Cork 2.0 Declaration. It was developed through a pilot project initiative on ‘Smart, Eco, Social Villages’ and spelled out in the ‘EU Action for Smart Villages’ initiative.

While the concept of smart villages remains unclear for many, substantial work has been carried out to develop the concept and to prepare the underlying supporting instruments at the EU level over the last three years.

The aim of this chapter is to give an overview of how the concept of smart villages has evolved at the EU level and to draw some recommendations for future policy work. The chapter reveals difficulties in the utilization efficiency of the EU funds in rural areas and shows a patched landscape of fragmented policy instruments. The key arguments are that while the mixture of these tools is important, the glue that binds them together is still missing, and that the general utilization efficiency is not sufficient. The authors offer a set of five recommendations for the short to medium term, which is needed for the successful implementation of the smart approach: integration, simplification, communication, innovation, and ‘rural proofing.’

The chapter aims to explore the corporate social responsibility (CSR) policy domain at EU decision-making level, aiming to understand the nature of the participation shaping the CSR policy agenda co-design.

Building on a conceptual framework of participation, the chapter highlights the literature and policy views around the importance of EU CSR policy and how EU envisage the framework of the CSR policy co-design. By highlighting conceptual dimensions of the participatory governance, different levels of participation that shape the policy are evidenced. In particular, a case analysis emphasising the predominant role of the consultation approach in the decision-making process of the CSR policy is undertaken.

The findings shed light on the shift from the traditional passive participation in EU CSR policy decision making, based on purely communications towards consultation and multi-stakeholders participation. From the multi-stakeholder perspective, the EU Multi-Stakeholder Forum’s strategic relevance is observed, however, with no clear mechanisms to enforce its aims. Although the CSR policy is a core priority on the policy agenda, its voluntary approach justifies its early stages of implementation and fragmented use.

The research is qualitative, based on literature review and policy view. Further research directions could enrich the chapter.

The research contributes to the theoretical discussion around participation in a supranational context. Our insights shed light on the levels of participation and CSR policy goals and call for a critical debate on the EU policy co-design processes. Furthermore, through the lens of a case analysis, it sheds light on how EU CSR forum fits in with the current EU structure and its ‘principle of subsidiarity’, which states that decisions must be taken close to its citizens.

This paper aims to present and assess the EU energy policies regarding their dependence on Information and Communication Technology (ICT) implications and the level of complexity of the applied ICT implications using the Technique for Order Preference by Similarity of Ideal Solution (TOPSIS) method. The used criteria have been retrieved from the official “ICT Implication Assessment method of EU Legislation”.

The methodology approach deals with the ranking representation of EU energy policies according to the ICT exploitation. The data for the study were collected from the official website of the European Union (EU) (www.europa.eu). According to these data, the subtopics of the EU energy policies regard the internal energy market, the European energy policy, the energy efficiency, the nuclear energy, the security of energy supply, the external dimension, the enlargement and the renewable energy sources. The EU energy policies were assessed using the TOPSIS multicriteria analysis. The TOPSIS is widely used to solve real-world decision-making problems due to its characteristic to deal with different information types.

According to the results of the research, the EU energy policies achieve a good level of dependence on ICT implications and of complexity of the applied ICT implications but not the optimum. However, EU policy-makers should take into account the ICT factors while updating an existing one or while designing a new energy policy. The results of this research can provide an overview of the current situation regarding the current legislation while moving toward a sustainable eEurope. There is a need for stronger incubation efforts for a wide range of innovations to be ready in due time.

This is the first time that EU energy policies are presented and assessed regarding their dependence on ICT implications and the level of complexity of the applied ICT implications using the TOPSIS method.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

With the dissolution of the Soviet Union, the European Union (EU) expanded, and its borders, and therefore its neighbors, changed. Hence, the EU needed a new policy to ensure its borders' security and improve relations with its neighbors. The idea of establishing a European Neighborhood Policy (ENP) thus emerged. One of the closest neighbors of the EU, Ukraine has always been in a priority position in the ENP, as it is a very important state for establishing a safe neighborhood. In this context, this article examines the EU's Ukraine strategy within the framework of ENP as a foreign policy instrument and its impact on Ukraine and EU–Ukraine relations by evaluating ENP's success based on the Euromaidan and Crimean crises.

The chapter furnishes empirical evidence about the extent and profiles of autonomy of EU agencies, the modalities whereby they are steered and controlled, and the interactions they have in EU policy networks. It thus provides the bases for a more complete picture of the EU multi-level administration.

The research is a survey-based design. A questionnaire was administered between July 2009 and April 2010 to 30 EU agencies included in the study population. The questionnaire was sent to the executive director of all the agencies included in the study. Questions were closed-ended, either in the form of multiple choices – with one answer or with check-all-that-apply and an option for ‘other’ to be filled – or in scale format. The resulting data set included ratio, interval, ordinal, and nominal scales. The reference model employed for the investigation relies on the analytical model developed within the framework of the research project COST Action IS0651 CRIPO (Comparative Research into Current Trends in Public Sector Organization – see also ‘Acknowledgements’) for the study of public agencies in Europe (Verhoest, Van Thiel, Bouckaert, & Lægreid, 2012).

EU agencies display a rather low level of managerial, especially financial, autonomy; conversely, they enjoy relatively high policy autonomy. As to the way in which multiple ‘parent’ administration steer EU agencies, it emerges a composite picture, in which the crossroads of steering and control by the parent administrations and accountability by the agency lies in the executive director. In terms of interactions within policy networks, EU agencies interact in a significant way with the European Commission, with national-level agencies in the pertinent policy field, and with specific technical bodies where they are part of the configuration of the policy sector, whilst interactions with national ministries as well as with other EU agencies are rare. No single model can capture in full the overall features of EU agencies, although the ‘community level institution’ model seems to capture a number of the profiles of these agencies.

Both the literature on EU multi-level administration and research agendas in public management can benefit from inclusion of – and in-depth empirical knowledge about – EU agencies. The chapter provides important empirical evidence to these purposes.

EU agencies are actors in European public policy-making, albeit to a varied extent depending on the sector. The extent of autonomy and the way in which they are held to account are crucial aspects for an enhanced understanding of their influence on European public policy-making, as is their location in European policy networks.

Research presented in this chapter is the first systematic empirical investigation of EU agencies encompassing networking, steering and control and autonomy of EU agencies, based on primary data.

For both the Czech Republic and Poland, globalization is intricately linked to European integration and Europeanization. Globalization and European integration have strongly influenced the policies of these countries over the last 17 years. The Czech policy of accommodation and the Polish policy of initiation toward the European Union (EU) show two different ways how the individual Central and Eastern European (CEE) countries can react to the process of Europeanization. The Czech and Polish policies within CEE area are illustrative examples of reactions to the supraterritorializing effects of globalization. These two CEE countries have answered some of the challenges of globalization through sub-regional cooperation in the Central European Initiative (CEI), Visegrad Group (VG), and the Central European Free Trade Agreement (CEFTA), followed by accession to the North Atlantic Treaty Organization (NATO) and later joining the EU. The Czech Republic and Poland are gradually entering the area of supra-territoriality. But concurrently both, as EU member states, participate in building and strengthening external territorial borders of the EU through the Schengen Agreement. Despite sharing the experience of disappearing of the EU internal borders, the Czech Republic and Poland have not completely relinquished their existing territorial identity. In the context of the break-up of the Czechoslovak federation it is also useful to examine the issues of deterritorialization and reterritorialization.

Educational intelligence can be considered a prized asset in political actors’ careful calculations in setting policy agendas for radical educational transformations in the age of the Fourth Industrial Revolution characterized by Big Data, Artificial Intelligence (AI), machine learning, and the Internet of Things (IoT). As an agent of globalization, the European Union (EU) is uniquely positioned to steer the direction of this new wave of digital technologies for two cardinal objectives in the EU’s rhetorical discourse: social cohesion and economic prosperity. Conversely, its complex governance architecture, which restricts its role in educational policy, tempers its ability to drive policy reforms in education for the strategic and coordinated deployment of Big Data in educational systems to support those twin objectives. This chapter examines this burgeoning policy arena in the European Union by interrogating the most recent policies on the “data economy” enacted at the EU-level and the positionality of education in this newest wave of policy formulation. A content and discourse analysis of policy documents on Big Data reveals that the EU is launching multiple initiatives to regulate these novel technologies across its socio-economic sectors. However, the amorphous nature and unpredictable impact of these technologies, along with the jurisdictional barriers in the education sector stemming from the delimitation of governance layers in the EU, pose difficulties in generating a coordinated approach to policy implementation to engender tangible results. Hence, the contours of an educational intelligent economy in the EU needs considerable policy attention and technical resources in its transition from the current ideational stage to its concrete manifestation.

Migrant women face unique difficulties, such as labour discrimination, limited sexual and reproductive health (SRH) services, obstacles to family reunification, gender-based violence (GBV) and human trafficking. ¹ The European Commission's labour integration approach currently fails to account for these difficulties. Civil society organisations (CSOs) and non-governmental organisations (NGOs) attempt to fill these gaps but lack capacity and funding. The European Commission's current approach does not respect human dignity and impedes the migrant community's integration and inclusion. This chapter discusses sexual assault and gender-based violence, which may be disturbing to some readers.

This issue is relevant and important because migrant women comprise a large portion of the migrant population ² and are a vital part of the migrant community. The methodology used in this chapter is a human security framework with a people-centred approach to policy that empowers those impacted by it. Research for this chapter was conducted using news articles, academic articles, UN reports and publications. Based on this, the European Commission must take a holistic and binding approach that protects the rights and dignity of migrant women.

There are multiple approaches that the European Commission can take to incorporate human dignity into its policies towards women and migration, such as applying international conventions and implementing policies that account for migrant women. All approaches must be realistic and required of all member states.