Although hundreds of citizen science applications exist, there is lack of detailed analysis of volunteers' needs and requirements, common usability mistakes and the kinds of user experiences that citizen science applications generate. Due to the limited number of studies that reflect on these issues, it is not always possible to develop interactions that are beneficial and enjoyable. In this paper we perform a systematic literature review to identify relevant articles which discuss user issues in environmental digital citizen science and we develop a set of design guidelines, which we evaluate using cooperative evaluation. The proposed research can assist scientists and practitioners with the design and development of easy to use citizen science applications and sets the basis to inform future Human-Computer Interaction research in the context of citizen science.

Public participation requires the involvement of lay people in the decision-making processes of issues that concern them. It is currently practiced in a variety of domains, such as transport and environmental planning. Communicating risks can be a complex task, as there may be significant differences between the risk perceptions of experts and those of lay people. Among the plethora of problems that require public involvement is the site selection of a nuclear waste disposal site in the United Kingdom, which is discussed in this article. Previous ineffective attempts to locate a site provide evidence that the problem has a strong social dimension, and studies ascribe public opposition to a loss of public trust in governmental agencies and decisionmakers, and to a lack of public understanding of nuclear waste issues. Although the mental models approach has been successfully used in the effective communication of such risks as climate change, no attempt has been made to follow a prescriptive mental model approach to develop risk communication messages that inform lay people about nuclear waste disposal. After interviewing 20 lay people and 5 experts, we construct and compare their corresponding mental models to reveal any gaps and misconceptions. The mental models approach is further applied here to identify lay people's requirements regarding what they want to know about nuclear waste, and how this information should be presented so that it is easily understood. This article further describes how the mental models approach was used in the subsequent development of an online information system for the site selection of a nuclear waste repository in the United Kingdom, which is considered essential for the improvement of public understanding and the reestablishment of trust.

Fires cause over 300,000 deaths annually worldwide and leave millions more with permanent injuries: some 95% of these deaths are in low- and middle-income countries. Burn injury risk is strongly associated with low-income and informal (or slum) settlements, which are growing rapidly in an urbanising world. Fire policy and mitigation strategies in poorer countries are constrained by inadequate data on incidence, impacts, and causes, which is mainly due to a lack of capacity and resources for data collection, analysis, and modelling. As a first step towards overcoming such challenges, this project reviewed the literature on the subject to assess the potential of a range of methods and tools for identifying, assessing, and addressing fire risk in low-income and informal settlements; the process was supported by an expert workshop at University College London in May 2016. We suggest that community-based risk and vulnerability assessment methods, which are widely used in disaster risk reduction, could be adapted to urban fire risk assessment, and could be enhanced by advances in crowdsourcing and citizen science for geospatial data creation and collection. To assist urban planners, emergency managers, and community organisations who are working in resource-constrained settings to identify and assess relevant fire risk factors, we also suggest an improved analytical framework based on the Haddon Matrix.

Extreme citizen science is a bottom up practice used to empower people by supporting them, via processes and technological tools, to find solutions for local problems, but also to tackle major sustainability challenges of the 21 st century. Methods and tools based on mobile computing have been utilized by communities in various parts of the world, from the Congo Basin through the Amazonian rain forest. However, extreme citizen science initiatives often face severe challenges as predesigned technological solutions prove to be non-transferable to peculiar environments of rural developing regions. In this paper we collect and investigate evidence from the implementation of various extreme citizen science initiatives in the developing world. Our aim is to identify key obstacles towards their successful realization, mainly focusing on the problem of user interaction with mobile computing solutions. We conduct interviews with nine experienced researchers who all performed extensive fieldwork within these initiatives, and who reflect on the technology interaction, knowledge organization, inter-cultural, social and usability issues. Based on our analysis we report among others, symptomatic difficulties with abstractions, representational hierarchies, and navigation commands, as well as potential improvements that mobile technology developers can implement in order to create a more inclusive environment for extreme citizen science.

The growing interest in citizen science has resulted in a new range of digital tools that facilitate the interaction and communications between citizens and scientists. Considering the ever increasing number of applications that currently exist, it is surprising how little we know about how volunteers interact with these technologies, what they expect from them, and why these technologies succeed or fail. Aiming to address this gap, JCOM organized this special issue on the role of User Experience (UX) of digital technologies in citizen science which is the first to focus on the qualities and impacts of interface and user design within citizen science. Seven papers are included that highlight three key aspects of user-focused research and methodological approaches. In the first category, "design standards", the authors explore the applicability of existing standards, build and evaluate a set of guidelines to improve interactions with citizen science applications. In the second, "design methods", methodological approaches for getting user feedback, analysing user behaviour and exploring different interface designs modes are explored. Finally, "user experience in the physical and digital world" explores crossovers with other fields to improve our understanding of user experiences and demonstrate how design choices not only influence digital interactions but also shape interactions with the wider world.