The goal of environmental education is to form a respectful attitude towards nature in the interests of sustainable development. This paper describes the environmental education program at an ethnic camp, which enables visitors to become familiar with the ecological wisdom of the indigenous peoples of Western Siberia, Russia. This program illustrates how indigenous communities can participate in the global agenda as actors suggesting their responses to global environmental challenges. This paper aims to assess the content, form, and effectiveness of the environmental education program at the ethnic camp. The content and form were assessed in compliance with the elements of modern environmental education. To measure the effectiveness of the education program, the Theory of Planned Behavior (TPB) was used to study the students’ intentions to engage in sustainable behavior after visiting the ethnic camp. The research participants were 210 university students. This program is rich in content and form, including traditional activities and the ecological wisdom of the indigenous peoples. However, the findings demonstrated that the program had little effect on their sustainable environmental behavior. No significant differences were found between the results of the experimental and control groups. The study suggests ways to improve the education program.

The regional development path depends on managing innovation resources. However, increasing the quantity of innovation activity and managing innovation resources only by financial indicators does not guarantee progress in sustainable development. This paper argues that basic conditions for effective sustainability-oriented innovation activities are: (1) the accordance of relevant activities with sustainable development ethics and (2) their marked focus on systemic and long-term sustainable development targets. These parameters can be considered fundamental principles for designing and developing effective sustainability-oriented innovation systems and innovation policies. Analysis of the two basic principles precedes estimation of the effectiveness of innovation activities, innovation systems, or innovation policies. In this paper, a special typological analysis technique was applied to assess basic conditions for the effectiveness of sustainability-oriented innovation activities observed in the case of the Tyumen region, Russia. It was found that since 2009 the Tyumen regional innovation support system has not been conceptually designed in accordance with sustainable development ethics or considering a long-term vision. Therefore, the projects themselves afford only temporary solutions to regional problems by implementing innovations that mainly have short-term and mid-term social–economic effects. As a result of the analysis of fundamental conditions for sustainability-oriented innovation activities in Tyumen region, this paper proposes recommendations on necessary measures for redesigning decision-making principles of regional innovation support systems in order to significantly increase the potential impact on the development of a truly sustainable regional economy.

STATE ENVIRONMENTAL IDEOLOGY: FROM TSARIST EMPIRE TO SUSTAINABLE RUSSIA

Острота экологических проблем ведет к появлению новых практик, направленных на гармонизацию отношений между обществом и природой. В данной статье мы фокусируемся на анализе повседневных зеленых практи

In modern societies, growing consumption rates lead to the depletion of the planet’s resources and the waste generation. This paper studies green practices aimed at reducing consumption, which were published in social media communities covering separate waste collection. First, we selected nine green practices regarding separate waste collection and classified them as adaptive and transformative. Adaptive practices enhance the adaptability of a society to the deteriorating environment without implying consumption reduction. Transformative practices involve reducing substance and energy consumption due to changes in collective and individual actions. Next, we collected 1987 textual posts of six communities of Tyumen region, Russia, published in social media platform VK, and found all mentions of the nine practices using content and hermeneutic analyses. Finally, we identified transformative practices, such as the practices of exchanging, refusing from purchases, sharing, repairing, and promoting sustainable consumption. The obtained results might help some decision-makers create conditions to disseminate the described practices and to introduce new social practices targeting reducing consumption. We show the possibilities of grassroots initiatives in the greening of society.

Large language models (LLMs) play a crucial role in natural language processing (NLP) tasks, improving the understanding, generation, and manipulation of human language across domains such as translating, summarizing, and classifying text. Previous studies have demonstrated that instruction-based LLMs can be effectively utilized for data augmentation to generate diverse and realistic text samples. This study applied prompt-based data augmentation to detect mentions of green practices in Russian social media. Detecting green practices in social media aids in understanding their prevalence and helps formulate recommendations for scaling eco-friendly actions to mitigate environmental issues. We evaluated several prompts for augmenting texts in a multi-label classification task, either by rewriting existing datasets using LLMs, generating new data, or combining both approaches. Our results revealed that all strategies improved classification performance compared to the models fine-tuned only on the original dataset, outperforming baselines in most cases. The best results were obtained with the prompt that paraphrased the original text while clearly indicating the relevant categories.