Participant Data Collection Research Articles

Indigenous knowledge for climate action at the Ekyisalhalha kya Karoro sacred site, adjacent to Rwenzori mountains national park in Kasese

PurposeThis case study examines the contribution of Indigenous knowledge (IK) and practices to climate action at Ekisalhalha kya Kororo sacred site, adjacent to Rwenzori Mountains National Park in the Kasese district of Western Uganda. This paper is intended to make a case for IK as an important component of climate change mitigation strategies especially if the knowledge is profiled and publicised. The paper presents aspects of traditional knowledge in terms of ceremonies, rituals, norms and customs that can be re-energised for climate change.Design/methodology/approachThe authors employed mainly a participatory and qualitative data collection methodology. The data were collected in Kasese district largely from the local government officials, cultural leaders, civil society actors and representatives of indigenous minority communities such as the Basongora. Data were collected from both primary and secondary sources, at the desk and through community interactions to collect various narratives based on IK. Primary data were collected during individual interviews, by administering a semi-structured questionnaire and holding focus group discussions with different stakeholders in Kasese, Uganda. The respondents were carefully identified and included cultural leaders, young people, local government authorities and representatives of civil society organisations responsible for implementing climate change mitigation strategies.FindingsClimate change effects are manifest in rising temperatures, flooding, desertification and other natural hazards. The Kasese district, in particular, has faced several climatic change catastrophes and there has been limited use or mainstreaming of the existing IK of the communities in the region in different climate action interventions. Amongst the key research findings was that IK can be utilised to address or mitigate climate change risks/hazards and provide valuable insights into climate adaptation strategies, including rain-water harvesting, weather forecasting and preparedness, and sustainable farming practices. In addition, it is easily accessible, especially in areas that modern science has not reached.Research limitations/implicationsFew elders with IK related to climate change mitigation and the disconnect between young people and IK bearers were limitations encountered during data collection.Originality/valueThe information in the article is an original compilation by the authors based on previous published work from the NetZero Heritage for Climate Action research project.

Development of a Progressive Web Application for Optimizing Solid Waste Management in Urban Contexts: a Case Study in the Coelhos Neighborhood, Recife

Objective: Develop a Progressive Web Application (PWA) to optimize solid waste management in the Coelhos neighborhood in Recife, promoting sustainable practices. Literature Review: The study is based on emerging technologies for waste management, such as IoT and optimization algorithms, addressing challenges and benefits. Method: It includes participatory diagnosis, data collection, and development of the "Limpa+Coelhos" application, integrating technologies like Angular and Google Maps to facilitate waste collection. Results and Discussion: The application significantly increased collection efficiency and community awareness, improving interaction between users and waste management services. Research Implications: The study highlights the potential of PWAs to promote more sustainable and interactive waste management practices in urban contexts. Originality/Value: The research demonstrates the effectiveness of PWAs in improving solid waste management, contributing to the development of innovative technological solutions in urban areas.

Integrating drones into disaster town watching: Participatory action data collection of local knowledge in Tuguegarao City, Philippines

Disaster town watching comprises a participatory technique by a community to observe, identify, understand, and build resilience to natural or human-induced hazards. Participants walk through their communities, taking notes and imagery for subsequent participatory risk mapping exercises. The goal is to develop a more nuanced and contextualized understanding of the community's state of disaster risk management. This article explores the integration of drones in the acquisition of imagery for disaster town watching. It followed standard practices for conducting disaster town watching research in a community in the Philippines. However, in addition to standard walking teams, one team learned to pilot drone missions, take aerial images, and then interpret them. The imagery they produced elicited more spatially significant relationships between and across features and locations in the community. The types of local knowledge identified differed significantly from that taken from images produced with cellular phones or Google Earth. This study revealed that drone imagery can provide new insights into local knowledge on hazards, vulnerability, and resources and the enhancement of social, economic, and environmental resilience it engenders. Participants build greater confidence in their ability to determine self-help solutions and mutual help countermeasures for enhancing disaster preparedness and community resilience against disaster.

Creating Kaveri Delta beneath our feet: An experiment in grounding socio-hydrology in Tamil Nadu, India

This paper presents an experiment in grounding socio-hydrology in the Kaveri Delta, Tamil Nadu. It follows a care-ful research attitude that shows a willingness to be blindsided and confronted with surprises, cultivates concerns by immersion in the case, and actively contributes to desired realities and futures. The paper centres and reflects on ways of participatory data collection, from monitoring borewells to gathering groundwater ethnographies. An earlier developed hydrogeological model is introduced and then mirrored to collected well data and grounded in the practices, knowledges and logics of engineers, activists and farmers working and living in the delta. We show engineers maintaining a network of weirs and irrigation canals, water worship and grassroots rejuvenation of tanks, and farmers’ borewell adaptations and insights to oscillating water levels. Bringing logics into dialogue offers openings to reconsider aquifer conceptualisations, embrace recharge opportunities and appreciate local ways of dealing with groundwater. The message from of this experiment is that it is difficult, if not impossible, to integrate all logics and knowledges in one overarching model or framework but that there are merits when staying with, and respecting, the differences among logics as it offers a potential for mutual learning, reflection and discussion.

Community Empowerment Through the Development of the Watu Wayang Tourism Village, Srimulyo Village, Piyungan District, Bantul Regency

The development of tourist villages in addition to functioning as an improvementin environmental conservation, also functions as a community economic development. This illustrates theprocess of economic and social community empowerment. Thus, the development of community-based tourism is a strategic effort to empower the community. This activity has the theme of Community Empowerment through Tourism Village Development. With the Participatory Rural Appraisal (PRA) method and data collection techniques through interviews, observations, Focus Group Discussion, and literature studies, this activity aims toincrease the knowledge of Watu Wayang tourist village managers about excellent services andtourism promotion. The results of the activity show that the community's knowledge and skillshave increased, especially regardingexcellent service and tourism promotion. This can be seenfrom the results of the evaluation of activities, especially the results of pritest and posttest. The results of the implementation of community service can be concluded that the implementation of these activities have been able to improve the abilities and skills of tourism village managersin Watu Wayang.

Who does technology serve? A critical analysis of sociocultural factors shaping opportunities, practices and barriers faced by a smallholders in south-western Colombia

This article offers a critical approach towards adopting new technologies as a mitigation strategy. It provides a comprehensive analysis that helps illuminate the adoption process and the sociocultural factors intersecting and informing it. Using a capability approach lens and qualitative and participatory data collection methods, this study presents and analyses the testimonies of smallholders living on Colombia’s Pacific coast, currently exposed to a series of interventions that promote changes in production decisions to contribute to reducing national greenhouse gas emissions. Specifically, improved forages, silvopastoral systems and new practices, such as the implementation of rotational pasturing, have been promoted as relevant new approaches. The results show that access to new technologies generates new capabilities, for instance the ability to plan for the challenges imposed by climate change or to develop new strategies to allow the soil to recover naturally. However, these new possibilities are unevenly distributed, creating disadvantages for groups that generally experience conditions of vulnerability, such as young farmers and women. The testimonies also show that many of the promoted initiatives emphasise the need for adaptation and change on the part of smallholders without considering the limitations of technology, the gender issues that affect the inclusion of women and the dynamics that set barriers to young smallholders due to economic restrictions or power issues. Therefore, the study contends that, when understanding technology adoption, it is not only a question of what farmers do or do not do but of what they can be and do in increasingly demanding contexts.

University–industry collaborations as processual inter-organizational learning: implications of the third context

PurposeThe purpose of this paper is to explicate how the processual third context learning approach provides new understandings and dimensions to the well-established terminology within the fields of inter-organizational learning and university–industry collaboration. These understandings and dimensions are empirically informed by an analysis of a collaboration between Aalborg University and Bang & Olufsen, a Danish loudspeaker manufacturer.Design/methodology/approachTo fulfill the research purpose, a case study based on a participatory data collection strategy was applied in the collaboration between Aalborg University and Bang & Olufsen. Data were collected through a qualitative multimethod approach, comprising semi-structured interviews, field observations and field notes. Phenomenologically inspired content analysis revealed the themes outlined and discussed.FindingsThe third context framework was useful in outlining the complexity of a bidirectional collaboration. The inter-organizational learning processes were, for example, influenced by the actors’ recurrent inquiry of perplexities regarding the purpose and content of the collaboration. The extracted empirical findings are discussed and related to the fields of inter-organizational learning and university–industry collaboration, thereby explicating how a processual learning perspective provides new understandings and dimensions to collaboration across organizations.Originality/valueThe paper contributes empirically informed processual-learning dimensions to the literature on inter-organizational learning and university–industry collaboration.

Enhancing Cancer Care Through Quality Initiatives: The Uganda Cancer Institute Experience With the Quality Oncology Practice Initiative.

Cancer care in low- and middle-income countries (LMICs) faces numerous challenges, such as limited resources, infrastructure constraints, and a shortage of specialized training. To address these challenges, innovative quality improvement (QI) approaches are required. The Quality Oncology Practice Initiative (QOPI) by the ASCO provides a framework for improving care quality through evidence-based standards. This article explores how QOPI has been adapted to the local context of the Uganda Cancer Institute (UCI) and highlights the importance of aligning international best practices with local health care realities to bridge disparities in care standards. The adaptation of the QOPI program at UCI commenced with a collaborative meeting with the ASCO-QOPI team in 2020. A tailored implementation plan was developed focusing on incorporating ASCO's QOPI measures and additional metrics relevant to the Ugandan context, engaging multidisciplinary teams, and optimizing resource use by leveraging existing resources for data collection and analysis. The execution of the plan relied heavily on staff training, participatory data collection, and continuous quality improvement processes that utilized data-driven methodologies. A retrospective analysis of QOPI data of UCI from 2020 to 2023 shows significant improvements in oncology care quality, highlighted by an upward trend in QOPI assessment scores across various metrics. These reflect the journey of UCI toward aligning its oncology care practices with international standards despite facing significant challenges. UCI's experience demonstrated the feasibility and impact of implementing international QI programs in LMICs. The success demonstrates that significant improvements in cancer care quality can be achieved in resource-constrained settings through adaptability, stakeholder engagement, and strategic resource optimization. UCI's journey is a model for other LMICs seeking to raise their cancer care standards, demonstrating that QI is necessary and attainable worldwide.

Non-monetary Incentives for Participatory Sensing Data Collection: A Sequential Explanatory Design

Non-monetary Incentives for Participatory Sensing Data Collection: A Sequential Explanatory Design

The impacts of relational organizing for health system and community collaboration: Early evidence from a rapid multisite qualitative study.

To understand the ways relational organizing practices impacted collaborations between independent or health system-affiliated community health clinics, public health offices, and community groups during the early COVID-19 pandemic. Between November 2020 and June 2021, we interviewed clinical and public health workers, clinic-based community organizers, and staff and volunteers at community organizations who participated in three COVID-19 response collaborations in the Northwestern United States. This was a qualitative study employing participatory and rapid data collection and analysis methods. Research team members invited key participants in organizing efforts to a semi-structured virtual interview conducted by an independent health services researcher. A sensemaking team that included project participants analyzed interview data using an iterative, thematic approach and conducted a ripple effect mapping exercise to supplement interview data. A total of 19 people contributed data for analysis. Analysis was guided by the underlying research questions: whether and how relational organizing practices contributed to successful collaboration, and what challenges were encountered. Relational organizing was perceived to contribute to multiple positive project outcomes, including greater self-efficacy in a time of crisis and enhanced sense of connection; these outcomes contributed to a sense of successful collaboration. Four mechanisms were identified that explained relational organizing's collaborative efficacy: (1) mobilizing existing relationships for rapid community engagement; (2) bringing concrete skills for enhancing trust among cross-sector partners; (3) recognizing and addressing power dynamics; and (4) creating vehicles for exercising collective community power. Lack of trust and unsurfaced power dynamics were perceived as common challenges to sustained collaboration, which relational organizing could sometimes mitigate. Our findings suggest relational organizing practices can be protective against common "pain points" faced by cross-sectoral partnerships, especially in times of crisis. Further piloting of clinic-based relational organizing is recommended, as is research on longer-term impacts.

Participatory Communication to Strengthen Farmers' Empowerment and Adaptation in Facing the Impacts of Climate Change

Agriculture and farmers are sectors and parties affected by climate change. Unfortunately, farmers' knowledge and adaptive capacity are still low due to the limited climate change information that they receive. The development of communication models to strengthen the interaction and flow of information has been very active. However, it has not yet addressed the lack of empowerment and scarcity of farmer participation. Therefore, we need a dialogical, horizontal, participatory communication model with an emphasis on empowerment and farmer participation. This research, using a participatory communication model, aims to see how participatory communication can encourage the empowerment and adaptability of farmers to climate change. This study uses a participatory action research approach with participatory data collection techniques for the Rural Communications Assessment (PRCA). The theory used is participatory communication and social change, which allows farmers and researchers to be equally involved and dialogue to occur. This research demonstrates the fact that participatory communication through a dialogue process can promote common goals and action in dealing with climate change. In addition, this research was also able to increase farmer empowerment, which was marked by changes at the individual farmer and social levels. These changes take the form of strengthening farmers' knowledge, perceptions, and skills related to climate change and adaptation actions and increasing farmer participation in village development planning. Farmers have been able to push the issue of strengthening farmer resilience to become part of the village development plan.

'The solution is we need to have a centre': a study on diabetes in Liberia.

In Liberia, one of the poorest nations in sub-Saharan Africa, the burden of diabetes is a growing concern. The high mortality and morbidity associated with diabetes have significant implications for individuals, families and society at large. The aim of this critical hermeneutic study was to explore what it is like to live with diabetes in Liberia. We recruited 10 participants from Monrovia, Liberia to partake in this study. Photovoice, a well-established participatory data collection approach was used to gather images and stories that represented participants' everyday experiences of living with diabetes. Three major themes were uncovered, highlighting the strengths, challenges and solutions related to living with diabetes in Liberia: strengths-engagement in diabetes self-management practices, focused on participants' commitment to engage in diabetes self-management practices despite the socioeconomic challenges they experienced; challenges-lack of social and economic support, focused on limited access to food, diabetes medications and supplies and diabetes education; and solutions-centre for diabetes education, care and support, focused on participants' recommendations for a community-based diabetes centre, a single point of access for meeting the needs of people with diabetes. A strong commitment to prioritize diabetes on Liberia's national health agenda and increased resources for diabetes care is needed to address the challenges experienced by people living with this chronic disease in Liberia.

Mangrove: Collaboration and Conflict Between Companies and Communities

Mangroves play an important role in the defense of natural disasters from the sea, economic value benefits and protection of biodiversity. This study aims to explain the program of PT. Telkom Indonesia in conducting a corporate social responsibility program in Ambulu Village, Losari District, Cirebon Regency. This study seeks to explain the conflict between companies and communities in mangrove management. This study uses a qualitative perspective with collaborative participatory data collection where researchers are the main key in conducting research. The results showed that differences in the perspective of the implementation of the mengrove program in Ambulu occurred between the company and the Grow Up Institute community as program facilitators and Ambulu mangrove forest farmer groups. Groups and facilitators focus more on mangrove sustainability according to ecosystems and climate-based planting, while companies tend to focus on program reporting limited to annual work months/calendars

Systems thinking methods: a worked example of supporting emergency medical services decision-makers to prioritize and contextually analyse potential interventions and their implementation

BackgroundSystems thinking can be used as a participatory data collection and analysis tool to understand complex implementation contexts and their dynamics with interventions, and it can support the selection of tailored and effective implementation actions. A few previous studies have applied systems thinking methods, mainly causal loop diagrams, to prioritize interventions and to illustrate the respective implementation context. The present study aimed to explore how systems thinking methods can help decision-makers (1) understand locally specific causes and effects of a key issue and how they are interlinked, (2) identify the most relevant interventions and best fit in the system, and (3) prioritize potential interventions and contextually analyse the system and potential interventions.MethodsA case study approach was adopted in a regional emergency medical services (EMS) system in Germany. We applied systems thinking methods following three steps: (1) a causal loop diagram (CLD) with causes and effects (variables) of the key issue “rising EMS demand” was developed together with local decision-makers; (2) targeted interventions addressing the key issue were determined, and impacts and delays were used to identify best intervention variables to determine the system’s best fit for implementation; (3) based on steps 1 and 2, interventions were prioritized and, based on a pathway analysis related to a sample intervention, contextually analysed.ResultsThirty-seven variables were identified in the CLD. All of them, except for the key issue, relate to one of five interlinked subsystems. Five variables were identified as best fit for implementing three potential interventions. Based on predicted implementation difficulty and effect, as well as delays and best intervention variables, interventions were prioritized. The pathway analysis on the example of implementing a standardized structured triage tool highlighted certain contextual factors (e.g. relevant stakeholders, organizations), delays and related feedback loops (e.g. staff resource finiteness) that help decision-makers to tailor the implementation.ConclusionsSystems thinking methods can be used by local decision-makers to understand their local implementation context and assess its influence and dynamic connections to the implementation of a particular intervention, allowing them to develop tailored implementation and monitoring strategies.

A community pharmacy practice-based research network: A protocol for a realist evaluation.

Community pharmacists' active participation in research is essential to build a robust, translatable evidence base. Practice-based research networks (PBRNs) have been established to support collaborative research and knowledge translation in community pharmacies. However, PBRNs' effectiveness in supporting research engagement and knowledge translation remains unexplored. A new PBRN will be implemented in southeast Queensland, Australia. This realist evaluation seeks to explain whether, how, why, for whom, in what context and over what duration the PBRN supports community pharmacists to engage in research. 1. to generate transferable knowledge about the different circumstances in which-and the mechanisms by which-a PBRN influences research engagement outcomes for different community pharmacists, in the form of a program theory. 2. To use the program theory to develop evidence-informed recommendations for use by PBRN stakeholders. A realist evaluation will be conducted in four iterative phases: (1) theory development, (2) hypothesis generation, (3) observations, and (4) theory refinement. A two-year multi-method study will be conducted, including interviews with pharmacists, surveys, participatory and observational data collection. The evidence will be used to confirm, refute, and/or refine the program theory. The evaluation will adhere to the Realist And Meta-Narrative Evidence Synthesis (RAMESES) publication and quality standards. The evaluation will contribute to the body of knowledge by generating a realist program theory to explain how, why, for whom, in what contexts, to what extent, in what respects, and over what duration the PBRN supports community pharmacists to engage in research. The findings will support the broader implementation of PBRNs and future network activities.

Effectiveness variation of different census outreach activities: An empirical analysis from the state of Illinois using machine learning and user interface technologies for participatory data collection

Major social changes stem from policies that their developments heavily rely on public participation in the decennial U.S. Census. For individual states, the population counts determine representation in the U.S. House of Representatives and the amount of federal funding each state receives, leading to state outreach efforts to encourage participation in the census. The present empirical study uses advanced data collection technologies based on a user interface (UI) and machine learning techniques (k-means clustering, random forest, gradient boosting) to analyze the effectiveness of the outreach activities organized by the State of Illinois. As a result, we assess various types of outreach activities in different geographic areas with distinct socio-economic and demographic characteristics. Findings from the models in this study show that outreach activities classified as “direct engagement (1-on-1)” and “single events” bear the highest impact, especially in predominantly low-income minority communities in metropolitan areas. However, socio-demographic characteristics are found to be generally more influential on response rates than outreach activities performed in the area, and in many underperforming areas, a high number of activities does not correlate with an increase in response rates. The findings of this research could assist in structuring outreach efforts in different countries and the U.S.

Making the Invisible Audible: A Simple Sound-Emitting Water Level Meter.

Making the Invisible Audible: A Simple Sound-Emitting Water Level Meter.

Pemanfaatan Media Sosial Instagram Akun @Mahasiswaakhir.Id Sebagai Media Literasi Informasi Mahasiswa

This study aims to see how the use of social media Instagram account @mahasiswaakhir.id as a medium for information literacy in students. This study uses qualitative methods with participatory observation data collection techniques and interviews. The research results show that the @mahasiswaakhir.id account is an Instagram account that seeks to become an information literacy medium, especially for students by providing relevant information in the form of video tips and tutorials as well as motivational content that can help and benefit students. This shows that the @mahasiswaakhir.id account utilizes Instagram social media as an information literacy medium for students by providing video content information, tutorial tips and motivation to students so that students can choose and process information according to their needs. The conclusion of this study is that social media has been utilized as well as possible to disseminate information.
 
 Keywords: Account @mahasiswaakhir.id, Information literacy, Instagram, Students,

Empty Houses, Loose Dogs, and Engaged Citizens: Lessons Learned From Community Participatory Data Collection in Rural Areas.

Rural surveys tend to oversample easy to reach populations, which can misrepresent community health needs. To achieve baseline data reflective of the communities served by the high obesity program (HOP), an innovative evaluation plan was created to prioritize equity and reflect the whole community. Principles of Community-Based Participatory Research (CBPR) were used to guide instrument development, research protocols, and data collection. A random sample of addresses created with United States Postal Service records provided a representative list of addresses in three HOP counties in Louisiana. Local data collectors were recruited to go door to door at the selected addresses to collect in-person surveys (N = 682; response rate of 84%). Over a quarter of participants reported using the charitable food system and walking for transportation at least weekly. Collecting door to door data in rural communities presents unique challenges, including abandoned properties, inaccurate address records, loose dogs, and at times, racial tensions and houses far removed from public roads. Lessons learned include the importance of local knowledge, adapting protocols to fit local conditions, and community awareness of the survey. Health practitioners need confidence when they are making data-based decisions about interventions, and one way to provide this confidence is to collect data from a true cross-section of the community. With a plan and in partnership with community members, a probability sample is feasible to collect in rural communities.

Participatory Historical Village Landscape Analysis Using a Virtual Globe-Based 3D PGIS: Guizhou, China

The analysis of historical village landscape characteristics and the influential driving factors of their evolutions can provide an essential decision-making basis for rural sustainable development strategies and landscape planning. How to obtain historical village landscape data at a time when objectively recorded data, such as remote sensing images, were unavailable is a key problem that restricts the analysis of village landscape evolution characteristics. As local villagers are important knowledge sources regarding historical village landscapes, a participatory data collection and analysis approach was used for village historical landscape data in this paper using a virtual globe-based three-dimensional participatory geographic information system (3D PGIS). Taking Duimengshan village, Guizhou, China, as a case study, the 3D landscape of the Duimengshan village and corresponding major historical events in four historical periods, 1958, 1980, 1995, and 2015, were collected in an on-site, interactive way by researchers with the participation of local villagers, and its land-use structure, ecosystem service values, and landscape pattern were analyzed. The results show that the historical landscapes in the four periods were strongly related to important local historical events. The 3D PGIS greatly mobilized the enthusiasm of villagers to participate with its intuitive 3D display form and simple and easy-to-use operation mode. It can be concluded that the historical landscape memory of local villagers and the oral inheritance information handed down from generation to generation can be utilized to make up for the lack of remote sensing and other objective data in the collection and acquisition of historical village landscape data. The obtained historical village landscape characteristics and their evolution laws can be used in future participatory rural planning and landscape design.