Citizen scientists: Unveiling motivations and characteristics influencing initial and sustained participation in an agricultural project.

Citizen science, where non-specialists collaborate with scientists, has surged in popularity. While it offers an innovative approach to research involvement, the domain of agri-environmental research participation, particularly in terms of citizen recruitment and retention, remains relatively unexplored. To investigate how what factors influence initial and sustained participation in an agronomic citizen science project, we performed a large survey during the case-study "Soy in 1000 Gardens". We obtained data on citizens motivations, general values, environmental concern, prior citizen science experience, and knowledge regarding sustainable food consumption and garden management and applied a two-step selection model to correct for potential self-selection bias on our participation outcomes. Initially, citizen scientists appear to be mostly motivated by gaining knowledge, having fun social interactions and environmental concern with regards to the effects on others, while the desire for enhancing or protecting their ego is less prominent. They also display higher knowledge and self-transcending values. Sustained participants however, are significantly older and share a stronger sense of moral obligation than their dropped-out counterparts. Moreover, prior experience seems to positively influence the length of their participation, while higher knowledge has a positive impact on the amount of data contributed. These insights offer strategies for tailored engagement that should emphasize collective impact, align with intrinsic values, and foster a sense of moral duty, with potential to enhance agri-environmental citizen science initiatives' effectiveness in addressing environmental challenges.

Emerging technologies in citizen science and potential for insect monitoring.

Emerging technologies are increasingly employed in environmental citizen science projects. This integration offers benefits and opportunities for scientists and participants alike. Citizen science can support large-scale, long-term monitoring of species occurrences, behaviour and interactions. At the same time, technologies can foster participant engagement, regardless of pre-existing taxonomic expertise or experience, and permit new types of data to be collected. Yet, technologies may also create challenges by potentially increasing financial costs, necessitating technological expertise or demanding training of participants. Technology could also reduce people's direct involvement and engagement with nature. In this perspective, we discuss how current technologies have spurred an increase in citizen science projects and how the implementation of emerging technologies in citizen science may enhance scientific impact and public engagement. We show how technology can act as (i) a facilitator of current citizen science and monitoring efforts, (ii) an enabler of new research opportunities, and (iii) a transformer of science, policy and public participation, but could also become (iv) an inhibitor of participation, equity and scientific rigour. Technology is developing fast and promises to provide many exciting opportunities for citizen science and insect monitoring, but while we seize these opportunities, we must remain vigilant against potential risks. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.

Inequality persists in a large citizen science programme despite increased participation through ICT innovations.

Biological recording is a prominent and widely practised form of citizen science, but few studies explore long-term demographic trends in participation and knowledge production. We studied long-term demographic trends of age and gender of participants reporting to a large online citizen science multi-taxon biodiversity platform ( www.artportalen.se ). Adoption by user communities and continually developing Information and Communications Technologies (ICTs) greatly increased the number of participants reporting data, but profound long-term imbalances in gender contribution across species groups persisted over time. Reporters identifying as male dominated in numbers, spent more days in the field reporting and reported more species on each field day. Moreover, an age imbalance towards older participants amplified over time. As the first long-term study of citizen participation by age and gender, our results show that it is important for citizen science project developers to account for cultural and social developments that might exclude participants, and to engage with underrepresented and younger participants. This could facilitate the breadth of engagement and learning across a larger societal landscape, ensure project longevity and biodiversity data representation (e.g. mitigate gender bias influence on the number of reports of different species groups).

The state of online citizen science in Mongolia and its potential for environmental challenges.

Mongolia is a sparsely populated Asian country covered by vast steppes, deserts, and forests. Few studies have been conducted on Online Citizen Science (OCS) activities in Mongolia. This study aims to analyze the state of OCS in Mongolia and, in a further step, to place it in an international context by comparing it with Germany and Japan, where OCS is already well established. Mongolia faces several environmental challenges, including climate change, land-use change, and intensive urbanization. OCS can help address these environmental challenges. Quantitative, qualitative, and literature-based analyses were conducted in this study. OCS has become more relevant in Mongolia since 2013, where projects have been introduced internationally rather than locally. A comparison with Germany and Japan showed that the use of web technologies and the degree of citizen participation in OCS projects are similar in these countries; however, the link to the United Nations Sustainable Development Goals (UN SDGs) may differ. To better respond to citizen needs and environmental challenges, additional local projects must be developed. Mongolia has the potential to enhance environmental monitoring and the networking of various actors using web technologies in citizen science.

Citizen science for monitoring the health and well-being related Sustainable Development Goals and the World Health Organization's Triple Billion Targets.

Achieving the health and well-being related Sustainable Development Goals (SDGs) and the World Health Organization's (WHO) Triple Billion Targets depends on informed decisions that are based on concerted data collection and monitoring efforts. Even though data availability has been increasing in recent years, significant gaps still remain for routine surveillance to guide policies and actions. The COVID-19 crisis has shown that more and better data and strengthened health information systems are needed to inform timely decisions that save lives. Traditional sources of data such as nationally representative surveys are not adequate for addressing this challenge alone. Additionally, the funding required to measure all health and well-being related SDG indicators and Triple Billion Targets using only traditional sources of data is a challenge to achieving efficient, timely and reliable monitoring systems. Citizen science, public participation in scientific research and knowledge production, can contribute to addressing some of these data gaps efficiently and sustainably when designed well, and ultimately, could contribute to the achievement of the health and well-being related SDGs and Triple Billion Targets. Through a systematic review of health and well-being related indicators, as well as citizen science initiatives, this paper aims to explore the potential of citizen science for monitoring health and well-being and for mobilizing action toward the achievement of health and well-being related targets as outlined in the SDG framework and Triple Billion Targets. The results demonstrate that out of 58 health and well-being related indicators of the SDGs and Triple Billion Targets covered in this study, citizen science could potentially contribute to monitoring 48 of these indicators and their targets, mostly at a local and community level, which can then be upscaled at a national level with the projection to reach global level monitoring and implementation. To integrate citizen science with official health and well-being statistics, the main recommendation is to build trusted partnerships with key stakeholders including National Statistical Offices, governments, academia and the custodian agencies, which is mostly the WHO for these health and well-being related targets and indicators.

How (Un-)Healthy are Austrian school food environments? Evidence from focus groups and citizen science.

BACKGROUND: Adolescents face high-choice school food environments that offer plenty of highly processed foods. Processed food producers target young people in their marketing, but there is limited data on the actual food supply inside and in the vicinity of Austrian schools and its impact on adolescent food choices. This study employs an innovative mixed-methods approach to explore adolescents' food choices. METHODS: In Study 1, we conducted a citizen science study, with students as volunteer scientists. The students examined the food supply in and around their schools according to the Austrian food pyramid and categorized 953 food items in 144 food suppliers using photographs and descriptions. In Study 2, we explored students' food preferences in focus groups. We conducted four focus groups at four different schools in Tyrol, with 25 students (11 male, 14 female) between the ages of 12 and 15. We then linked the findings on individual preferences with the documented supply. RESULTS: Study 1 found that the food supply in the investigated schools was predominantly categorized as unhealthy. The students categorized 46% as "unhealthy", 32% as "intermediate", and only 22% as "healthy". Study 2 identified three influential factors in students' food choices: 1) individual factors (such as taste and preferences), 2) social factors (such as mingling with peers), and 3) structural factors (such as physical environment and accessibility). CONCLUSION: The study shows that unhealthy products cater to unhealthy preferences among adolescents and dominate current school food environments. Policies need to address unhealthy school food environments to tackle this issue. Food supplies should be presented in an attractive ways, in fun places where students can mingle and express their identities.

Citizen Science to improve healthy and active living among adolescents in four European countries: a protocol of the cluster randomised controlled trial of the Science Engagement to Empower aDolescentS (SEEDS) project.

INTRODUCTION: Improving healthy lifestyles of adolescents is challenging. Citizen Science is a way to engage them in the design and delivery of interventions, and may also increase their interest in science, technology, engineering and mathematics (STEM). The Science Engagement to Empower aDolescentS (SEEDS) project aims to use an equity-lens, and engage and empower boys and girls from deprived areas by designing and cocreating interventions to promote healthy lifestyles, and to seed interest in STEM. METHODS AND ANALYSIS: SEEDS is a cluster randomised controlled trial in four countries (Greece, the Netherlands, Spain and the UK). Each country will recruit six to eight high schools from lower socioeconomic neighbourhoods. Adolescents aged 13-15 years are the target population. High schools will be randomised into intervention or control group. Each country will select 15 adolescents from intervention schools called ambassadors, who will be involved throughout the project.In each country, focus groups with ambassadors and stakeholders will focus on physical activity, snacking behaviour and STEM. The input from focus groups will be used to shape Makeathon events, cocreation events where adolescents and stakeholders will develop the interventions. The resultant intervention will be implemented in the intervention schools during 6 months. In total, we aim to recruit 720 adolescents who will complete questionnaires related to healthy lifestyles and STEM outcomes at baseline (November 2021) and after the 6 months (June 2022). ETHICS AND DISSEMINATION: The four countries obtained approval from their corresponding Ethics Committees (Greece: Bioethics Committee of Harokopio University; the Netherlands: The Medical Research Ethics Committee of the Erasmus Medical Center; Spain: The Drug Research Ethics Committee of the Pere Virgili Health Research Institute; UK: Sport and Health Sciences Ethics Committee of the University of Exeter). Informed consent will be collected from adolescents and their parents in line with General Data Protection Regulation legislation. The findings will be disseminated by conference presentations, publications in scientific peer-reviewed journals and during (local) stakeholders and public events. Lessons learnt and the main results will also be used to provide policy recommendations. TRIAL REGISTRATION NUMBER: NCT05002049.

Practical recommendations from a multi-perspective needs and challenges assessment of citizen science games.

Citizen science games are an increasingly popular form of citizen science, in which volunteer participants engage in scientific research while playing a game. Their success depends on a diverse set of stakeholders working together-scientists, volunteers, and game developers. Yet the potential needs of these stakeholder groups and their possible tensions are poorly understood. To identify these needs and possible tensions, we conducted a qualitative data analysis of two years of ethnographic research and 57 interviews with stakeholders from 10 citizen science games, following a combination of grounded theory and reflexive thematic analysis. We identify individual stakeholder needs as well as important barriers to citizen science game success. These include the ambiguous allocation of developer roles, limited resources and funding dependencies, the need for a citizen science game community, and science-game tensions. We derive recommendations for addressing these barriers.

The case for citizen science in public health policy and practice: a mixed methods study of policymaker and practitioner perspectives and experiences.

BACKGROUND: Citizen science (CS) is increasingly being utilised to involve the public in public health research, but little is known about whether and how CS can address the needs of policy and practice stakeholders in health promotion and chronic disease prevention. METHODS: Using a mixed methods approach we conducted an online survey (n = 83) and semi-structured interviews (n = 21) with policy and practice stakeholders across Australia to explore how CS approaches are perceived and applied in chronic disease prevention, how CS aligns with existing approaches to community engagement, and how the uptake of CS can be supported within policy and practice settings. RESULTS: Most participants had heard of CS, and while few had experience of using CS, there was widespread support for this approach, with many seeing it as complementary to other community engagement approaches. CS was seen as providing: (a) a robust framework for engagement; (b) access to rich data; (c) opportunities for more meaningful engagement; and (d) a mutually beneficial approach for stakeholders and community members. However, stakeholders identified a need to weigh benefits against potential risks and challenges including competing organisational priorities, resourcing and expertise, data quality and rigour, governance, and engagement. CONCLUSIONS: To expand the use of CS, stakeholders identified the need for increased awareness, acceptance, and capacity for CS within public health organisations, greater access to supporting tools and technology, and evidence on processes, feasibility and impacts to enhance the visibility and legitimacy of CS approaches.

Assessment of national beach litter composition, sources, and management along the Indian coast - a citizen science approach.

The present study evaluates the Pan-India beach litter density (items/m2), weight (kg/m2), composition (%), and probable sources based on the citizen science approach. A total of 33 beaches in 2019 and 30 beaches in 2021 were studied. Based on density, the national beach litter average was 0.475± 0.51 and 0.3 ± 0.4 items/m2 in 2019 and 2021, respectively. Plastic was the dominant litter type (65 % in 2019; 74 % in 2021) and Single-Use Plastics (SUPs) were predominant. Based on Clean-Coast Index, six beaches in 2019 and three beaches in 2021 are classified as "extremely dirty". The principal (∼60 %) sources of litter were tourism and public littering. Improving solid waste management, stringent implementation of environmental legislation, leveraging the polluter pays principle, monitoring the effectiveness of SUPs ban, generating awareness, and beach clean-up at regular intervals by engaging the public, educational, and non-governmental organizations will improve and sustain the cleanliness of beaches.

SchoolAIR: A Citizen Science IoT Framework Using Low-Cost Sensing for Indoor Air Quality Management.

Indoor air quality (IAQ) problems in school environments are very common and have significant impacts on students' performance, development and health. Indoor air conditions depend on the adopted ventilation practices, which in Mediterranean countries are essentially based on natural ventilation controlled through manual window opening. Citizen science projects directed to school communities are effective strategies to promote awareness and knowledge acquirement on IAQ and adequate ventilation management. Our multidisciplinary research team has developed a framework-SchoolAIR-based on low-cost sensors and a scalable IoT system architecture to support the improvement of IAQ in schools. The SchoolAIR framework is based on do-it-yourself sensors that continuously monitor air temperature, relative humidity, concentrations of carbon dioxide and particulate matter in school environments. The framework was tested in the classrooms of University Fernando Pessoa, and its deployment and proof of concept took place in a high school in the north of Portugal. The results obtained reveal that CO2 concentrations frequently exceed reference values during classes, and that higher concentrations of particulate matter in the outdoor air affect IAQ. These results highlight the importance of real-time monitoring of IAQ and outdoor air pollution levels to support decision-making in ventilation management and assure adequate IAQ. The proposed approach encourages the transfer of scientific knowledge from universities to society in a dynamic and active process of social responsibility based on a citizen science approach, promoting scientific literacy of the younger generation and enhancing healthier, resilient and sustainable indoor environments.

The "Our Voice" Method: Participatory Action Citizen Science Research to Advance Behavioral Health and Health Equity Outcomes.

Citizen science research that more fully engages the community can systematically involve people from under-resourced groups to create practical health-enhancing improvements across physical, social and food environments. Exemplary health equity-focused outcomes include key health behaviors (e.g., healthy eating or physical activity) and community-level changes (e.g., public transit to food shops) that are central to health promotion while being demonstrably impacted by local environmental contexts. Yet, few examples of this approach are readily available for application within complex, community-based settings. In this paper, we present the Our Voice (OV) four-step method to demonstrate an integrated participatory citizen science approach and its usability for action-focused researchers and community health practitioners. In addition, we present a summary of the major research, processes, and community outcomes, with examples drawn from nutrition and healthy food access areas, among others. Finally, we explore the hallmark features of the OV method that effectively engage citizen scientists, empowering action and fostering solution-building across social and environmental structures impacting community health. Expanding research that marries participatory research philosophies with innovative citizen science methods, supported by systematic data collection, visualization, and delivery technologies, in turn provides a powerful toolkit for tackling local to global health equity challenges.

Our Voice NOLA: Leveraging a Community Engaged Citizen Science Method to Contextualize the New Orleans Food Environment.

OBJECTIVE: We employed the Our Voice citizen scientist method using a mobile application (app) to identify and contextualize neighborhood-level features influencing food access and wellbeing in New Orleans, Louisiana. DESIGN: A three-phase, multi-method study comprised of: (1) a researcher-assisted tag-a-long neighborhood walk (referred to as a 'journey') with the Discovery Tool (DT) app to document neighborhood-level features via geo-coded photos and audio-recorded narratives; (2) a post-journey interview to enable citizen scientists to share their lived experiences; and (3) a community meeting with citizen scientists and local stakeholders. SETTING: Various neighborhoods in New Orleans, Louisiana, USA. PARTICIPANTS: Citizen Scientists (i.e., residents) aged 18 years and older. MAIN OUTCOME MEASURE(S): Features that influence food access and health behaviors. ANALYSIS: Descriptive statistics and a thematic content analysis were conducted to assess survey and app data. RESULTS: Citizen scientists (N = 14) captured 178 photos and 184 audio narratives. Eight major themes were identified: safety; walkability; aesthetics; amenities; food; health services; neighborhood changes; and infrastructure/city planning. The post-journey interview provided insights around the abovementioned themes. The community meeting demonstrated the willingness of citizen scientists and stakeholders to convene and discuss issues and relevant solutions. CONCLUSIONS AND IMPLICATIONS: Findings demonstrate the ability of technology and citizen science to help better understand the complexities of New Orleans' past, present and distinct culture-and implications for food access and wellbeing in the context of trauma in an urban ecosystem.

The process evaluation of a citizen science approach to design and implement workplace health promotion programs.

BACKGROUND: Many workplace health promotion programs (WHPPs) do not reach blue-collar workers. To enhance the fit and reach, a Citizen Science (CS) approach was applied to co-create and implement WHPPs. This study aims to evaluate i) the process of this CS approach and ii) the resulting WHPPs. METHODS: The study was performed in two companies: a construction company and a container terminal company. Data were collected by questionnaires, interviews and logbooks. Using the framework of Nielsen and Randall, process measures were categorized in the intervention, context and mental models. Interviews were transcribed and thematically coded using MaxQDA software. RESULTS: The involvement in the CS approach and co-creating the WHPPs was positively experienced. Information provision, sustained engagement over time and alignment with the workplace's culture resulted in barriers in the CS process. As to the resulting WHPPs, involvement and interaction during the intervention sessions were particularly experienced in small groups. The reach was affected by the unfavorable planning off the WHPPs and external events of re-originations and the covid-19 pandemic. DISCUSSION: Continuous information provision and engagement over time, better alignment with the workplace's culture and favorable planning are considered to be important factors for facilitating involvement, reach and satisfaction of the workers in a Citizen science approach to design and implement a WHPP. Further studies continuously monitoring the process of WHPPs using the CS approach could be helpful to anticipate on external factors and increase the adaptability. CONCLUSIONS: Workers were satisfied with the involvement in WHPPs. Organizational and social cultural factors were barriers for the CS approach and its reach. Involvement and interaction in WHPPs were particularly experienced in small grouped sessions. Consequently, contextual and personal factors need be considered in the design and implementation of WHPPs with CS approach among blue-collar workers.

Citizen science monitoring reveals links between honeybee health, pesticide exposure and seasonal availability of floral resources.

We use a national citizen science monitoring scheme to quantify how agricultural intensification affects honeybee diet breadth (number of plant species). To do this we used DNA metabarcoding to identify the plants present in 527 honey samples collected in 2019 across Great Britain. The species richness of forage plants was negatively correlated with arable cropping area, although this was only found early in the year when the abundance of flowering plants was more limited. Within intensively farmed areas, honeybee diets were dominated by Brassica crops (including oilseed rape). We demonstrate how the structure and complexity of honeybee foraging relationships with plants is negatively affected by the area of arable crops surrounding hives. Using information collected from the beekeepers on the incidence of an economically damaging bee disease (Deformed Wing Virus) we found that the occurrence of this disease increased where bees foraged in agricultural land where there was a high use of foliar insecticides. Understanding impacts of land use on resource availability is fundamental to assessing long-term viability of pollinator populations. These findings highlight the importance of supporting temporally timed resources as mitigation strategies to support wider pollinator population viability.

Leveraging Citizen Science and Low-Cost Sensors to Characterize Air Pollution Exposure of Disadvantaged Communities in Southern California.

Assessing exposure to fine particulate matter (PM2.5) across disadvantaged communities is understudied, and the air monitoring network is inadequate. We leveraged emerging low-cost sensors (PurpleAir) and engaged community residents to develop a community-based monitoring program across disadvantaged communities (high proportions of low-income and minority populations) in Southern California. We recruited 22 households from 8 communities to measure residential outdoor PM2.5 concentrations from June 2021 to December 2021. We identified the spatial and temporal patterns of PM2.5 measurements as well as the relationship between the total PM2.5 measurements and diesel PM emissions. We found that communities with a higher percentage of Hispanic and African American population and higher rates of unemployment, poverty, and housing burden were exposed to higher PM2.5 concentrations. The average PM2.5 concentrations in winter (25.8 µg/m3) were much higher compared with the summer concentrations (12.4 µg/m3). We also identified valuable hour-of-day and day-of-week patterns among disadvantaged communities. Our results suggest that the built environment can be targeted to reduce the exposure disparity. Integrating low-cost sensors into a citizen-science-based air monitoring program has promising applications to resolve monitoring disparity and capture "hotspots" to inform emission control and urban planning policies, thus improving exposure assessment and promoting environmental justice.

A deep semantic vegetation health monitoring platform for citizen science imaging data.

Automated monitoring of vegetation health in a landscape is often attributed to calculating values of various vegetation indexes over a period of time. However, such approaches suffer from an inaccurate estimation of vegetational change due to the over-reliance of index values on vegetation's colour attributes and the availability of multi-spectral bands. One common observation is the sensitivity of colour attributes to seasonal variations and imaging devices, thus leading to false and inaccurate change detection and monitoring. In addition, these are very strong assumptions in a citizen science project. In this article, we build upon our previous work on developing a Semantic Vegetation Index (SVI) and expand it to introduce a semantic vegetation health monitoring platform to monitor vegetation health in a large landscape. However, unlike our previous work, we use RGB images of the Australian landscape for a quarterly series of images over six years (2015-2020). This Semantic Vegetation Index (SVI) is based on deep semantic segmentation to integrate it with a citizen science project (Fluker Post) for automated environmental monitoring. It has collected thousands of vegetation images shared by various visitors from around 168 different points located in Australian regions over six years. This paper first uses a deep learning-based semantic segmentation model to classify vegetation in repeated photographs. A semantic vegetation index is then calculated and plotted in a time series to reflect seasonal variations and environmental impacts. The results show variational trends of vegetation cover for each year, and the semantic segmentation model performed well in calculating vegetation cover based on semantic pixels (overall accuracy = 97.7%). This work has solved a number of problems related to changes in viewpoint, scale, zoom, and seasonal changes in order to normalise RGB image data collected from different image devices.

Interrupting pathways to health inequities in citizen science health research.

Participatory research in multiple forms is rapidly gaining ground and stands to provide valuable benefits in the area of health research. Citizen science, an increasingly popular form of participatory research, aims to involve laypersons in knowledge production and, as such, can offer new insights that may not be readily accessible by the traditional scientific research enterprise. Heralded as an advance in the democratization of science, citizen science stands as a potential player in evidence generation. Yet, while citizen science offers advantages through its emphasis on lay participation in uncovering information likely to be pertinent to improving health outcomes, without deliberate attention to pathways to inequity and oversight, some aspects can operate to perpetuate or exacerbate health inequities. Drawing on health disparities literature to assist in identifying possible pathways, this work aims to provide support for greater attention to 'process', which would include active engagement with intersecting inequities as a way of interrupting pathways to health inequity. If citizen science is to be true to its moniker, it cannot be 'equity-neutral' in a society where structural or systemic inequities are present. It must be equity-promoting. In the health context, the concerns of justice evolve into concerns of differential health impacts. To accomplish this, equity and justice, as well as representation and fair process, become critically important. Accordingly, this paper foregrounds proactive commitment to equity by confronting the reality of social inequalities present in a given society and adapting the project accordingly to minimize downstream health inequities.

Participatory research in multiple forms is rapidly gaining ground and stands to provide valuable benefits in the area of health research. Citizen science, a form of participatory research, aims to involve laypersons in contributing to scientific knowledge. This can offer new insights that may be more difficult for the traditional scientific research institutions. Many see citizen science as an advance in the democratization of science. That is, it is a form of 'science by the people' rather than the exclusive domain of highly trained researchers. Research conducted by citizen scientists may uncover information that can help improve health outcomes, but without adequate attention to process and oversight, some aspects can operate to perpetuate or compound health inequities. This work aims to provide support for engaging with background inequities within a society and using that awareness to inform the planning, design and execution of citizen science projects. To avoid unjust outcomes in which people receive different advantages, health research needs to be conducted in an 'equity-promoting' manner. Citizen science must elevate the importance of 'process' and take a proactive and deliberate approach to investigating social inequalities present in society that may intersect with the project, and adapt the project accordingly.

Towards the Development of a Sensor Educational Toolkit to Support Community and Citizen Science.

As air quality sensors increasingly become commercially available, a deeper consideration of their usability and usefulness is needed to ensure effective application by the public. Much of the research related to sensors has focused on data quality and potential applications. While this information is important, a greater understanding of users' experience with sensors would provide complementary information. Under a U.S. EPA-funded Science to Achieve Results grant awarded to the South Coast Air Quality Management District in California, titled "Engage, Educate, and Empower California Communities on the Use and Applications of Low-Cost Air Monitoring Sensors", approximately 400 air quality sensors were deployed with 14 California communities. These communities received sensors and training, and they participated in workshops. Widely varying levels of sensor installation and engagement were observed across the 14 communities. However, despite differences between communities (in terms of participation, demographics, and socioeconomic factors), many participants offered similar feedback on the barriers to sensor use and strategies leading to successful sensor use. Here, we assess sensor use and participant feedback, as well as discuss the development of an educational toolkit titled "Community in Action: A Comprehensive Toolkit on Air Quality Sensors". This toolkit can be leveraged by future community and citizen science projects to develop networks designed to collect air quality information that can help reduce exposure to and the emissions of pollutants, leading to improved environmental and public health.

Integrating Photovoice and Citizen Science: The Our Voice Initiative in Practice.

Community engagement methods like photovoice have allowed researchers to gather and incorporate the experiences and perspectives of community members in their work but have at times faced challenges regarding systematization, accessibility, and scalability. This practice note describes the Our Voice initiative, one example of a community-based participatory research framework that aims to build on photovoice theories and best practices and address these challenges by incorporating the use of a mobile app as well as elements of participatory action-based citizen science to support community-driven data collection, analysis, and advocacy. We explore the application of the Our Voice method and evaluation of multilevel participant and community outcomes across three different Bay Area, California, communities. In doing so, we hope to provide a potential example for practitioners of other community-based participatory research and photovoice-based models to draw from when working with diverse communities to integrate local perspectives and insights in the generation and implementation of sustainable community health improvements.