scholarly journals Harnessing citizen science to assess and improve utilization of metropolitan parks: the Park Activity, Recreation, and Community, Study (PARCS) in St. Louis, MO

2021 ◽  
Vol 1 (4) ◽  
pp. 186-203
Author(s):  
Aine O'Connor ◽  
Abby King ◽  
Ann Banchoff ◽  
Amy Eyler ◽  
Rodrigo Reis ◽  
...  
Keyword(s):  
Citizen Science ◽  
Community Based Participatory Research ◽  
Mixed Methods Study ◽  
Community Based ◽  
Text Data ◽  
User Groups ◽  
Facilitators And Barriers ◽  
Equity Of Access ◽  
Remote Participation ◽  
Community Input

Access to and use of parks is associated with physical activity participation. Our Voice is a systematic method blending community-based participatory research (CBPR) and citizen science. As part of a comprehensive, mixed-methods study in St. Louis, Missouri (PARCS), we tested the feasibility of the Our Voice method for gathering community input on the barriers to and facilitators of accessibility and use of large metropolitan parks, by describing the implementation of the Our Voice method among recreational and commuter users of a large metropolitan park in St. Louis, MO. Due to challenges posed by COVID-19, the Our Voice methodology was adapted for remote participation. Twenty-three citizen scientists (14 recreational park users and 9 commuters) collected and analyzed geolocated route, photo, and audio or text data on facilitators and barriers to park use and access. They identified 6 priority themes and 12 solution ideas, and presented them to stakeholders. In contrast to previous Our Voice studies, separate user groups (recreation and commuter users) independently prioritized many of the same themes. Adaptation of the Our Voice protocol to virtual practices during COVID-19 revealed positive implications for cost, reach, and scale of studies grounded in CBPR and citizen science. We provide a set of recommended practices for using Our Voice as a method to evaluate and promote equity of access and use of metropolitan parks.

scholarly journals The SMART Framework: Integration of Citizen Science, Community-Based Participatory Research, and Systems Science for Population Health Science in the Digital Age (Preprint)

2019 ◽  
Author(s):  
Tarun Reddy Katapally
Keyword(s):  
Big Data ◽  
Population Health ◽  
Citizen Science ◽  
Participatory Research ◽  
Health Research ◽  
Community Based Participatory Research ◽  
Health Science ◽  
Systems Science ◽  
Community Based ◽  
Science Community

UNSTRUCTURED Citizen science enables citizens to actively contribute to all aspects of the research process, from conceptualization and data collection, to knowledge translation and evaluation. Citizen science is gradually emerging as a pertinent approach in population health research. Given that citizen science has intrinsic links with community-based research, where participatory action drives the research agenda, these two approaches could be integrated to address complex population health issues. Community-based participatory research has a strong record of application across multiple disciplines and sectors to address health inequities. Citizen science can use the structure of community-based participatory research to take local approaches of problem solving to a global scale, because citizen science emerged through individual environmental activism that is not limited by geography. This synergy has significant implications for population health research if combined with systems science, which can offer theoretical and methodological strength to citizen science and community-based participatory research. Systems science applies a holistic perspective to understand the complex mechanisms underlying causal relationships within and between systems, as it goes beyond linear relationships by utilizing big data–driven advanced computational models. However, to truly integrate citizen science, community-based participatory research, and systems science, it is time to realize the power of ubiquitous digital tools, such as smartphones, for connecting us all and providing big data. Smartphones have the potential to not only create equity by providing a voice to disenfranchised citizens but smartphone-based apps also have the reach and power to source big data to inform policies. An imminent challenge in legitimizing citizen science is minimizing bias, which can be achieved by standardizing methods and enhancing data quality—a rigorous process that requires researchers to collaborate with citizen scientists utilizing the principles of community-based participatory research action. This study advances SMART, an evidence-based framework that integrates citizen science, community-based participatory research, and systems science through ubiquitous tools by addressing core challenges such as citizen engagement, data management, and internet inequity to legitimize this integration.

scholarly journals Understanding the Most Important Facilitators and Barriers for Online Education during COVID-19 through Online Photovoice Methodology

2020 ◽  
Vol 10 (1) ◽  
pp. 166
Author(s):  
İbrahim Doyumğaç ◽  
Ahmet Tanhan ◽  
Mustafa Said Kiymaz
Keyword(s):  
Distance Education ◽  
Online Education ◽  
Interpretative Phenomenological Analysis ◽  
Community Based Participatory Research ◽  
Learning Opportunities ◽  
Economic Resources ◽  
Community Based ◽  
Main Research ◽  
Institutional Review ◽  
Facilitators And Barriers

There are three main research goals in this study including (a) understanding the most important facilitators (support, strength) and complicators (barrier, concern, issues, problems) for online or distance education during COVID-19 from the unique perspective of college students, academicians, and teachers through Online Photovoice (OPV); (b) advocating with the volunteer participants and partners as allies to share the results with the key people and institutions through online avenues to enhance facilitators and address complicators; and finally, (c) investigating participants’ attribution of facilitators and complicators based on Ecological Systems Theory (EST) levels. The researchers utilized the adapted Turkish version of OPV to collect and used Online Interpretative Phenomenological Analysis (OIPA) to analyze the data. Community-Based Participatory Research (CBPR) grounded in EST constructed the theoretical framework for the research. In total, 115 participants completed and consented for the study. Sixteen main facilitator-related themes emerged, and the five most expressed were having technology (n = 31, 35%), internet (n = 28, 32%), communication (n =18, 20%), emotions (n = 17, 19%), and economic resources (n = 16, %18). Thirteen main complicators-related themes emerged, and the five most reported barriers were lacks of technological resources (n = 41, 47%), internet (n = 40, 46%), appropriate learning environments, learning opportunities (n = 32, 36%) appropriate resources for online or distance education (n = 18, 20%), and interaction (n = 14, 16%). Participants attributed the facilitator and complicators to EST levels respectively as follows: individual/intrapsychic factors (84%; 69%), microsystem (45%; 59%), exosystem (36%; 43%), and macrosystem (34%; 44%). The researchers provided practical recommendations. The researchers obtained an institutional review board approval for this study.

scholarly journals "We're not going to be guinea pigs;" Citizen Science and Environmental Health in a Native American Community

2016 ◽  
Vol 15 (01) ◽  
pp. A05 ◽  
Author(s):  
Elizabeth Hoover
Keyword(s):  
Native American ◽  
Environmental Health ◽  
Citizen Science ◽  
Large Scale ◽  
Research University ◽  
Community Based Participatory Research ◽  
Contaminated Site ◽  
Community Based ◽  
Health Community ◽  
Study Participants

Determined to learn the extent to which a local contaminated site was impacting community health, the Native American community of Akwesasne reached out to a research university, eventually partnering on the first large-scale environmental health community based participatory research project (CBPR). Based on interviews with scientists, community fieldworkers, and study participants, this article examines the ways in which collaborating on these studies was beneficial for all parties — especially in the context of citizen science goals of education and capacity building — as well as the challenges they faced, including communicating the limits of what scientific studies could accomplish for the community.

scholarly journals The City Doesn’t Sleep: Community Perceptions of Sleep Deficits and Disparities

2019 ◽  
Vol 16 (20) ◽  
pp. 3976 ◽  
Author(s):  
John Sonnega ◽  
Amanda Sonnega ◽  
Daniel Kruger
Keyword(s):  
Social Determinants ◽  
Community Based Participatory Research ◽  
Public Health Education ◽  
Community Empowerment ◽  
Poor Sleep ◽  
Community Partner ◽  
Community Based ◽  
Participatory Research Methods ◽  
Community Input ◽  
The City

While sleep research has focused primarily on aspects of the immediate physical environment and behavioral factors, a growing body of evidence suggests that broader social determinants may play an important role in sleep insufficiency. Yet public health education efforts for sleep largely address “sleep hygiene”, with an emphasis on information for getting a good night’s rest. The Flint Sleep Project employed community-based-participatory research methods to try to understand more about the sleep experiences of residents of an urban community reporting sleep insufficiency. The academic and community partner developed recruitment materials with community residents. The focus group protocol also utilized community input. Seven focus groups, with a total of 70 participants, were conducted. When asked about their view of causes for poor sleep, participants identified a range of stressors reflective of social determinants. Economic, safety, and future insecurity were the dominant themes emerging across all seven discussions. Participants also expressed feeling a lack of control over important aspects of their lives. Interventions to improve sleep are more likely to be effective if they include the perspectives of the community. A community-based approach offers opportunities for community empowerment and engagement that can improve efforts at sleep health promotion.

scholarly journals Engaging the Public in Policy Research: Are Community Researchers the Answer?

2014 ◽  
Vol 2 (1) ◽  
pp. 32-44 ◽  
Author(s):  
Liz Richardson
Keyword(s):  
Public Policy ◽  
Citizen Science ◽  
Participatory Research ◽  
Policy Research ◽  
Community Based Participatory Research ◽  
Scientific Policy ◽  
Community Based ◽  
Fully Integrated ◽  
The Public ◽  
Public Policy Research

A case has been made for engaging the public in scientific research as co-producers of knowledge. These arguments challenge elite models of policy research and suggest the need for an ambitious expansion of more inclusive scientific public policy research. Enabling the public to be meaningfully involved in complex policy research remains a challenge. This paper explores a range of attempts to involving the public in public policy research. It uses a binary framing to typify some key debates and differences in approaches between community-based participatory research, and citizen science. Approaches to community-based participatory research in the social sciences offer a set of engagement principles which are an alternative to an elite model of policy research. Citizen science offers a focus on the use of scientific methods by lay people, but this approach is currently under-utilized in public policy research and could be expanded. How could the strengths of each be more fully integrated and harnessed? A case study of community policy research is presented, in which an attempt was made to use a more fully integrated approach in a local policy context, identifying the potential and challenges. Based on a framework of three features of democratic and scientific policy research, it argues that more public participation in public policy research would be helped by more attention to the strengths of the democratic potential emphasised by participatory community-based research, alongside the potential of scientific robustness em-phasised by citizen science. One conclusion drawn is that a professional and scientific orientation to public policy re-search can be retained without necessarily being professionally dominated. Research methods and skills are tools to which more people outside the profession could have access, if academics facilitate the process of democratization of policy research.

scholarly journals The SMART Framework: Integration of Citizen Science, Community-Based Participatory Research, and Systems Science for Population Health Science in the Digital Age

10.2196/14056 ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. e14056 ◽  
Author(s):  
Tarun Reddy Katapally
Keyword(s):  
Big Data ◽  
Population Health ◽  
Citizen Science ◽  
Participatory Research ◽  
Health Research ◽  
Community Based Participatory Research ◽  
Health Science ◽  
Systems Science ◽  
Community Based ◽  
Science Community

Citizen science enables citizens to actively contribute to all aspects of the research process, from conceptualization and data collection, to knowledge translation and evaluation. Citizen science is gradually emerging as a pertinent approach in population health research. Given that citizen science has intrinsic links with community-based research, where participatory action drives the research agenda, these two approaches could be integrated to address complex population health issues. Community-based participatory research has a strong record of application across multiple disciplines and sectors to address health inequities. Citizen science can use the structure of community-based participatory research to take local approaches of problem solving to a global scale, because citizen science emerged through individual environmental activism that is not limited by geography. This synergy has significant implications for population health research if combined with systems science, which can offer theoretical and methodological strength to citizen science and community-based participatory research. Systems science applies a holistic perspective to understand the complex mechanisms underlying causal relationships within and between systems, as it goes beyond linear relationships by utilizing big data–driven advanced computational models. However, to truly integrate citizen science, community-based participatory research, and systems science, it is time to realize the power of ubiquitous digital tools, such as smartphones, for connecting us all and providing big data. Smartphones have the potential to not only create equity by providing a voice to disenfranchised citizens but smartphone-based apps also have the reach and power to source big data to inform policies. An imminent challenge in legitimizing citizen science is minimizing bias, which can be achieved by standardizing methods and enhancing data quality—a rigorous process that requires researchers to collaborate with citizen scientists utilizing the principles of community-based participatory research action. This study advances SMART, an evidence-based framework that integrates citizen science, community-based participatory research, and systems science through ubiquitous tools by addressing core challenges such as citizen engagement, data management, and internet inequity to legitimize this integration.

scholarly journals Personal Outcomes in Community‐based Participatory Research Partnerships: A Cross‐site Mixed Methods Study

2020 ◽  
Vol 66 (3-4) ◽  
pp. 439-449
Author(s):  
Patricia Rodríguez Espinosa ◽  
Andrew Sussman ◽  
Cynthia R. Pearson ◽  
John G. Oetzel ◽  
Nina Wallerstein
Keyword(s):  
Mixed Methods ◽  
Participatory Research ◽  
Community Based Participatory Research ◽  
Mixed Methods Study ◽  
Community Based ◽  
Research Partnerships ◽  
Cross Site

scholarly journals A Community-Based Approach to Biospecimen Collection Among Pacific Islanders

2018 ◽  
Vol 21 (1) ◽  
pp. 97-105
Author(s):  
Patchareeya Pumpuang Kwan ◽  
Melanie Sabado-Liwag ◽  
Nasya Tan ◽  
James Russell Pike ◽  
Harold Custodio ◽  
...  
Keyword(s):  
Community Based Participatory Research ◽  
Pacific Islanders ◽  
Community Leaders ◽  
Research Approach ◽  
Community Based ◽  
Biospecimen Collection ◽  
Donation Process ◽  
Hair Samples ◽  
Community Input ◽  
Participatory Research Approach

This study tested the feasibility of collecting saliva samples from Pacific Islanders (PIs) via a community-based participatory research approach. Collection of saliva samples were conducted by trained and trusted PI community leaders at various partner sites. A total of 214 saliva samples were donated by PIs living in Southern California, more than half of whom were females between the ages of 18 and 35 years. Donors indicated that they donated because they wanted to help science and their community. A majority of donors reported a very positive experience with the donation process and were willing to donate saliva and hair samples in the future. The positive findings of this article highlight the importance of community input and participation.

scholarly journals Development of a Mixed Methods Investigation of Process and Outcomes of Community-Based Participatory Research

2016 ◽  
Vol 12 (1) ◽  
pp. 55-74 ◽  
Author(s):  
Julie Lucero ◽  
Nina Wallerstein ◽  
Bonnie Duran ◽  
Margarita Alegria ◽  
Ella Greene-Moton ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Participatory Research ◽  
Community Based Participatory Research ◽  
Integrated Approach ◽  
Lessons Learned ◽  
Mixed Methods Study ◽  
Community Based ◽  
Mixed Methods Approach ◽  
Diverse Community ◽  
Cross Site

This article describes a mixed methods study of community-based participatory research (CBPR) partnership practices and the links between these practices and changes in health status and disparities outcomes. Directed by a CBPR conceptual model and grounded in indigenous-transformative theory, our nation-wide, cross-site study showcases the value of a mixed methods approach for better understanding the complexity of CBPR partnerships across diverse community and research contexts. The article then provides examples of how an iterative, integrated approach to our mixed methods analysis yielded enriched understandings of two key constructs of the model: trust and governance. Implications and lessons learned while using mixed methods to study CBPR are provided.

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