Serious gaming has gained increasing prominence in climate change communication, and provides opportunity to engage new audiences and new platforms for knowledge co-creation and dialogues. This paper presents the design and evaluation of a serious game on climate adaptation, primarily targeted towards high school students, practitioners and politicians. The game aims to provide an experience of the impact of climate adaptation measures, and illustrates links with selected Agenda 2030 goals, which the player has to consider, while limiting impacts of hazardous climate events. The game design builds on the key goals in Education for Sustainable Development combining comprehensive views, action competence, learner engagement and pluralism. This study draws on game sessions and surveys with high school students in Sweden, and aims to assess to what extent different aspects of the game can support an increased understanding of the needs and benefits of adaptation actions. The results of this study indicate that the game can engage players to reflect upon challenges related to climate adaptation decision making, but also point towards the challenge of including a high degree of complexity which can make it difficult to grasp consequences of individual measures, as well as to link these to the natural variability of the occurrence of extreme climatic events.

Background. Serious games are gaining increasing prominence in environmental communication research, but their potential to form an integrated part of participatory research approaches is still strikingly understudied. This is particularly the case for applications of interactive digital formats in research on environmental challenges of high complexity, such as climate adaptation, which is a specifically suitable case as it involves complex interaction between climate systems and society, but where the response also involves trade-offs with potentially negative – maladaptive – outcomes. Intervention. This article presents the Maladaptation Game, which was designed to facilitate dialogue about potential negative outcomes of agricultural climate adaptation. Methods. We conducted test sessions with agricultural stakeholders in Finland and Sweden, and analysed quantitative and qualitative, audio-recorded and transcribed, material for opportunities and challenges related to dialogues, engagement, interactivity and experienced relevance. Results. The qualitative analysis of recorded dialogues shows that the Maladaptation Game has potential to support dialogue by challenging players to negotiate between options with negative outcomes. The gameplay itself presents opportunities in terms of creating engagement with options that provoke disagreement and debates between players, as well as interactivity, that players reflected upon as quick and easy, while challenges were related to the experienced relevance, in particular the options provided in the game, and its general framing. Conclusions. The results indicate a need for complementary approaches to this type of game but also suggest the importance of moderation when the game design is aimed at creating dialogue around a complex environmental challenge such as agricultural climate adaptation.

Municipal actors are increasingly expected to consider climate adaptation in operative and strategic work. Here, digital environments can support strategic decisions and planning through visual representations of local climate risks and vulnerabilities. This study targets visualization of vulnerability to heat and floods as a means of supporting adaptation action in preschools, primary schools, caring units, and municipal residential buildings in Norrköping, Sweden. Workshops with sector leaders identified vulnerability indicators used as a basis for collecting, calculating and representing self-assessed vulnerability of individual units and buildings. Informed by user inputs, a map-based interactive visual tool representing resulting vulnerability scores and risk maps was developed to support (1) planners and sector leaders in strategic prioritization and investments, and (2) unit heads in identifying adaptation measures to reduce local flood and heat risks. The tool was tested with adaptation coordinators from targeted sectors. The study finds that the tool made it possible to overview climate risks and adaptation measures, which arguably increases general governance capacity Allowing yearly updates of set scores, the tool was also found to be useful for monitoring how vulnerability in the municipality evolves over time, and for evaluating how adaptive efforts influence calculated risks.

Extreme weather events are expected to increase in frequency and intensity due to global warming. During disaster events, up-to-date relevant information is crucial for early detection and response. Recently, Twitter emerged as a potentially important source of volunteered geographic information of key value for global monitoring systems and increasing situational awareness. While research on the use of machine learning approaches to automatically detect disaster events from social media is increasing, the visualization and exploration of the identified events and their contextual data are often neglected. In this paper, we address this gap by proposing a visual analytics pipeline for the identification and flexible exploration of extreme weather events, in particular floods, from Twitter data. The proposed pipeline consists of three main steps: (1) text classification, (2) location extraction, and (3) interactive visualization. We tested and assessed the performances of four classification algorithms for classifying relevant tweets as flood-related, applied an algorithm to assign location information, and introduced a visual interface for exploring their spatial, temporal, and attribute characteristics. To demonstrate our work, we present an example use case where two independent flooding events were identified and explored. The proposed approach has the potential to support real-time monitoring of events by providing data on local impacts collected from citizens and to facilitate the evaluation of extreme weather events to increase adaptive capacity.

People living in urban areas are often exposed to heat and inundation caused by heavy rains. Therefore, pedestrian routing in areas exposed to weather-related threats can be of value to citizens. In this study, water accumulated on roads, sidewalks and footpaths after rainfall and snowmelt was used as a case of adverse environmental conditions. Pedestrian routing was implemented in the web tool WayFinder and a group of 56 participants tested the tool in Trondheim, Norway. The study aimed to gain insight into their perspectives on the implemented pedestrian routing functionality to examine to what extent pedestrians find such functionality helpful for navigating in regions that are likely to be inundated. Each participant was asked to (1) use the tool in practice; (2) when walking, report on observed inundated areas; and (3) complete three questionnaires to provide feedback on the WayFinder tool. Although most of the participants were successful in using WayFinder, they preferred the selection of routes that passed through areas likely to be inundated and obtaining information about the risks than selecting a single route suggestion that already avoided exposed areas.