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With continued pressure on biodiversity and ever-growing conflicts with human development, qualified systems for scenario modelling, impact assessment and decision support are urgently needed. Such systems must be able to integrate complex models and information from many sources and do so in a flexible and transparent way. To that end, as well as for other complicated and data-intensive biodiversity research purposes, the concept of LifeWatch has emerged. The idea of LifeWatch is to construct e-infrastructure and virtual laboratories by integrating large data sources, computational capacities, and tools for analysis and modelling in an open, serviceoriented architecture. To be efficient and accurate, a continuous inflow of large quantities of data is essential. However, even with new techniques, government-funded monitoring data and research data will not feed the system with up-to-date species information of sufficient scale and resolution. To fill this void, skilled amateur observers (citizen scientists) can contribute to a very valuable extent. After a preparatory phase, a Swedish LifeWatch (SLW) consortium was initiated in 2011. Swedish LifeWatch developed an infrastructure where all components are accessible through open web services. At the SLW Analysis portal, different formats of species and environmental data can be accessed instantly, and integrated, analysed, visualized and downloaded at selected temporal, spatial or taxonomic scales. Swedish LifeWatch currently provides 46 million species observations from eight different databases, all harmonized according to standardized formats and the Dyntaxa taxonomic backbone database. Almost 40 million of these observations were provided by citizens through the online reporting system named the Species Observation System (SOS) or Artportalen. This paper describes this system, as well as the incentives that make it so successful. The citizen science data in the SOS are accessible, together with data from research and monitoring, in the SLW infrastructure, making the latter a powerful instrument for large-scale data extraction, visualization and analysis.

What is good politics? It is both a knowledge of philosophical, organizational and normative questions. It is about how and where the political science branch of the social science tree grows, of what political scientists really should do and how political science education should be conducted. By extension, it is also about which frames political order, power and social organization can best be analyzed within. There are big questions. Are there any good answers or just bad? Or could it even be that the question of what distinguishes good from bad politics leads to awkward enough paradigmatic, epistemological, and other difficult or insoluble problems that maybe we should refrain from imposing or even trying to answer it? Well, it would actually be pretty bad. Adapted from the source document.

Lawns have a significant influence on the cityscape as one of the essential elements of green spaces and an important part of people's everyday lives. Most people in the Western world view lawns as a compulsory element of the urban landscape, almost an icon, without questioning their social, symbolic, ecological or aesthetic values. This research is a part of the conceptual framework and methodological approaches that are being used in an ongoing transdisciplinary collaboration project to study lawns in Sweden as a social and ecological phenomenon.The overall aim of this study was to investigate social and cultural perceptions of lawns, as well as motives behind decisions about the establishment and management of lawns in Sweden. Two multifamily housing typologies, the 'Million Programme' and People's Homes', were examined due to their dominance in Swedish cities. We also studied how an alternative vision of conventional lawns can be applied and accepted by urban residents. We estimated lawn cover in multi-family housing areas and links to people's perception and use of lawns. Questionnaires, semi-structured interviews and observational studies were used (N = 300). Our results showed that people like lawns even if they do not always directly use them. Lawns cover the most significant amount of outdoor spaces in all multi-family residential areas and accompany people everywhere from the house to the schoolyard or park. The total lawn cover in the study areas was 27.8%. Lawns were particularly valued as important places for different outdoor activities (playing, resting, picnicking, walking, socialising) and enjoying the green colour. However people do not want to use a vast monotonous lawn, but a variety of spaces that provide good conditions for different senses (sound, smell, touch and sight) and activities. Alternative lawns were also appreciated by many citizens, politicians, planners and managers. The implementation of new types of lawns requires special planning and design solutions adjusted for each particular neighbourhood.

Forside -- Titelside -- Kolofon -- Indhold -- Forord -- 1. Unge og klimaforandringer -- 2. Klimaforandringer - svære at forstå -- 3. Klimavenlige værdier og handlinger -- 4. Hvad unge ved og ikke ved om klimaforandringer -- 5. Klima og politisk handlen -- 6.Klimalivsstile hos unge? -- 7. Verdenssyn som struktur for klimaopfattelser -- 8. Klimaforandringer og hverdagslivets praksisser -- 9. Klimaområdet - et nyt terræn -- Noter -- Appendiks. En flerhed af metoder -- Litteratur.

This paper developed a simple dynamic model in order to analyse the impact of social capital on violation of environmental regulations. Two main channels of influence were identified; through informal enforcement of regulations and through effects on costs from disinvestment in social capital caused by violation. The model was tested using survey data on enforcement and violation of command and control regulations at municipalities and counties in Sweden. Four different measures on the social capital variable were used; general trust, trust in local and national governments, and organizational activity. Count data models were used for estimating the explanatory power of these variables in relation to inspection frequency and control variables of community characteristics. Statistically best results were obtained for organizational activity for all firm categories. The results showed that both the level of this social capital measure and its growth over time curb violation.