Over recent decades, people’s (rural and urban) communities are facing numerous social and economic changes and challenges. Some of those challenges have been increasingly addressed through the lenses of technological developments and digitalization. In this paper, we have made a review of already existing practices while focusing on the existing implementations of the Smart Village concept and the importance of digital transformation for rural areas. We give special attention to EU policies that we are using as an already existing framework for understanding our own forthcoming examples. We have shown the parallels between the findings and insights from different regions and made an evaluation of presented practices. Our main argument stems from our own previous experiences and experiences of other research approaches, and is grounded on the argument that rural areas are not uniform, and that smart rural development has to be applied in combination with place-based approach. We present the cases of Slovenian pilot practices and support our argument by proposing the FabVillage concept.

Initially, the concept of Smart Cities (urban settlement) originated from the Internet of Things (IoT) technology, however, the use of IoT technology can be extended to the concept of Smart Villages (rural settlement) as well, improving the life of the villagers, and the communities as a whole. Yet, the rural settlements have slightly different requirements than the urban like settlements. If application of IoT in Smart Cities can be characterized by densification of IoT to day-to-day life, following cities’ structural characteristics of being densely settled places, IoT empowered Smart Villages are usually a system of dispersion and deficiency. In this manner, this research paper will address and discuss different application areas of IoT technology, identifying differences, but also similarities in both ecosystems, while trying to illuminate the standardization efforts that can be applicable in both contexts. In our text we will propose the following IoT application domains, which will also serve as a base for research on smart villages: 1. Natural Resources and Energy, 2. Transport and Mobility, 3. Smart Building, 4. Daily Life, 5. Government, and 6. Economy and Society. By providing an overview of technical solutions that support smart solutions in Smart Cities and Smart Villages this research paper will evaluate how, with IoT empowered Smart Villages and Smart Cities, an overall improvement of quality of life of their inhabitants can be achieved.

One of the possible solutions of rural development is rural Digital Innovation Hubs (DIHs). Rural DIHs represent an efficient way of improving local environments in a more sustainable way, by affecting local businesses, people and local authorities. The purpose of this paper is to analyze the concept of a rural DIH by exploring the following elements: business model, digital technology and competences, and the policy instrument. We investigate the above-mentioned conceptual elements by conducting a literature review study and synthesizing the findings. Additionally, we provide a case study of the Divina Wine Hub Šmarje as an example of a rural DIH, whose activities are aimed at supporting rural businesses and individuals. The results show that a rural DIH does have a positive impact on local businesses, in particular regarding their sustainability aspect. The local DIH explained in the case study provides possibilities for local businesses to use innovative technological solutions, by supporting them with the right technological equipment and skilled people. From an economic point of view on sustainability, this resulted in business processes optimization, cost reduction, employment opportunities, as well as the strengthening of sustainable consumption and marketing for the winegrowers. Furthermore, it adds to environmental sustainability by adequately assessing the conditions in the vineyards to determine the optimal time and location of effective action, resulting in reducing the environmental footprint. All of this together also contributes to social sustainability by providing fairer distribution of social opportunities and digital inclusion. In this manner, we conclude that rural DIHs should be part of the Smart transformations of rural areas and included in rural development policies.

The article highlights the need to rethink and reconceptualise the accepted concepts of smart cities and villages by shifting the attention from technology and technological solutions and moving it towards understanding the significance of communities and sustainability. The conceptual framework combines four essential features—community, village, city and sustainability—and analyses the links and relationships between them. A new community-centred approach to development is suggested in order to emphasise that sustainable living cannot be achieved only through technological solutions. Instead, we suggest that to ensure social sustainability, appropriation, and effectiveness of new solutions in the long term, the process has to start, be adapted and led by people and their needs. In this light, the article analyses three dimensions of smart living—energy, mobility, waste—through the prism of rural–urban linkages and the role of ICT. Core principles and recommendations (calm technology, community size, identification of community leaders, surveillance and control issues, community building) for designers of ICT solutions and developmental projects in smart cities and villages are presented. These principles take into account people and communities and combine findings of engineering and social sciences, especially anthropology, psychology, and sociology.

In the field of machine learning, a considerable amount of research is involved in the interpretability of models and their decisions. The interpretability contradicts the model quality. Random Forests are among the best quality technologies of machine learning, but their operation is of “black box” character. Among the quantifiable approaches to the model interpretation, there are measures of association of predictors and response. In case of the Random Forests, this approach usually consists of calculating the model’s feature importances. Known methods, including the built-in one, are less suitable in settings with strong multicollinearity of features. Therefore, we propose an experimental approach to the feature selection task, a greedy forward feature selection method with least-trees-used criterion. It yields a set of most informative features that can be used in a machine learning (ML) training process with similar prediction quality as the original feature set. We verify the results of the proposed method on two known datasets, one with small feature multicollinearity and another with large feature multicollinearity. The proposed method also allows for a domain expert help with selecting among equally important features, which is known as the human-in-the-loop approach.

Highlighting the important role of rural development, this paper represents a review of rural policies. Data were generated, including a broad literature research and online survey on existing and future, post-2020 rural development policies. The survey was shared among project partners from six different EU Member States including eleven regions, all from the Alpine Space. The number of total policies covered in this review paper, together with policy projects, programs or actions, is 114. Based on these, key policy findings and future recommendations are provided, attributing to the future studies on this topic as well as for policymakers at the local, regional, national and EU levels.