In order to remain alive and relevant, cultural heritage sites have to react and adapt to changing context in a coherent manner, i.e., in a way that is in line with the memory and identity of the place. The incoherent changes, i.e., the transformations that according to the local community do not agree with a character of a place, can be destructive for the long-term vitality of urban cultural heritage. In this study, we test which factors influence social acceptance of different alternations within the context of urban historical gardens that might, in turn, ensure the resilience of the place. Our study focuses on the intangible qualities of the place measured by intrinsic value, perceived essentialism and anti-essentialism as important predictors shaping the response to change. The correlational study was conducted using an online questionnaire designed to empirically grasp intangible qualities of cultural heritage sites. Five hundred twenty-nine responses were included in the analysis. The study shows that perceived historic value, inherent value (uniqueness and importance of the place) and (anti-)essentialist character of a place capture the differences between parks well and enables the finding of interventions that are coherent with a site’s genius loci. Measuring intangible qualities of urban gardens can help to design changes that find higher approval among local community members and users of the site. We discuss how the analysis of an intrinsic value and essentialism allows for planning better spatial interventions that align with the human-centered approach to urban development.

The dynamics of collective decision making is not yet well understood. Its practical relevance however can be of utmost importance, as experienced by people who lost their fortunes in turbulent moments of financial markets. In this paper we show how spontaneous collective “moods” or “biases” emerge dynamically among human participants playing a trading game in a simple model of the stock market. Applying theory and computer simulations to the experimental data generated by humans, we are able to predict the onset of such moments before they actually happen.

Citizen science is a social innovation that has recently been recognized by social initiatives as a possible tool to increase participation, build knowledge, and raise civic awareness. In order to work efficiently, citizen science requires the adoption of proper technological solutions by a critical mass of people. According to the Unified Theory of Acceptance and Use of Technology, people are more likely to adopt a technology that is compatible with their norms, values, and beliefs. In our research, we studied technological solutions that Polish environmental civic initiatives are using in order to diagnose their potential to implement citizen science projects and increase citizen participation. We interviewed 28 board representatives, managers, and initiators of social movements and conducted desk research of 65 social movements in Poland. Every technological solution was recorded and later categorized. The diagnostic analysis of the technological advancement of grassroots movements in Poland reveals that the full potential for launching citizen science projects has not yet been reached. First of all, the recognition of the citizen science approach is still low. Secondly, grassroots movements operate using standard and easily accessible technological solutions, rarely developing tailored and more advanced technologies that would enable people to be involved in citizen science projects.

Until Recently, The citizen science approach to knowledge production had been confined to scientific research, applied to a limited range of questions on which scientists and citizens could collaborate and trust each other. More recently, this approach has gained increasing attention from various quarters outside the traditional remit of professionalized science, which include local governments, civil society organizations (CSOs), professional networks, and cooperatives. These entities recognize citizen science as a practical method that harnesses the collective resources of a community to address pressing local concerns and promote a robust participatory democracy. Emerging initiatives include citizen observatories, data cooperatives, and collaboration platforms. Despite the growing popularity, managing citizen science initiatives (involving numerous participants over an extended period of time) poses considerable challenges. Leaders of citizen science initiatives grapple with difficulties that appear formidable to overcome. At present, the democratic potential of citizen science necessitates further development and scrutiny from social and political actors. Critics frequently underscore a disparity between the democratic ideals associated with citizen science and its current practical implementation. This article outlines the primary benefits and challenges associated with the democratization of citizen science. It builds from the empirical research of the ISEED project 1 as well as the theoretical contribution of the Right to the Smart City project 2 and formulates 10 key recommendations to citizen science project leaders.

Detection of conflict-prone discussions on online social platforms can help moderate debates and prevent negative social processes such as the formation of echo chambers or polarization of opinions. Here, we examined how controversy of a discussion topic can be estimated from formal characteristics of discussion threads on the English Wikipedia. We discovered that dyadic turn-taking patterns tended to convey highly emotional, personal content, disagreement, and words relating to the conflict. Using the fraction of such two-person patterns in the multi-person discussion as a predictor, we were able to classify effective and conflict-prone discussions with 80% accuracy. These results show that monitoring of turn-taking patterns may become one of the easy heuristics that help detect conflicts in task-oriented online groups.

The growing popularity of social media data brings questions about its accuracy and usefulness for a wide array of cultural heritage projects, often lacking data sources crucial for better planning and implementation. In this paper, we are studying the opportunities offered by the freely available Facebook Ads Manager data on target group sizes in different locations. We conducted a small experiment and a pilot survey to verify if Facebook data concerning its users’ interests is accurate and could be used to facilitate the implementation of projects in the field of adaptive reuse. Despite all discovered limitations of this approach, we point out how Facebook data, along with other social media outlets, can be used to extract some strategic information and add to the socio-cultural assessment toolbox. As such, this type of data could be of use to local leaders planning activities and investments around cultural heritage sites. We also posit that such data can facilitate benefit transfer between cities through better understanding of local preferences and values-orientations.