Community participation in a Lancet Healthy Cities in China Commission

Wu, Dan; Best, Lucy; Stein, Gabriella; Tang, Weiming; Tucker, Joseph D.; Team, Healthy Cities Contest

doi:10.1016/s2542-5196(18)30083-4

Cited by 10 publications

(10 citation statements)

References 7 publications

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“…First, our scoping review suggested that most crowdsourced HIV/sexual health studies were conducted in high-income or upper-middle-income countries. As a bottom-up approach [24], with minimal costs [13] and strong community engagement [30], crowdsourcing is a promising method that could lead to improvement in current HIV/sexual health services in LMICs. However, policies and strategies for promoting this method in LMICs are lacking.…”

Section: Policy and Research Implicationsmentioning

confidence: 99%

Crowdsourcing to Improve HIV and Sexual Health Outcomes: a Scoping Review

Tang

Ritchwood

et al. 2019

Curr HIV/AIDS Rep

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Purpose of Review This review synthesizes evidence on the use of crowdsourcing to enhance HIV/sexual health services. Recent Findings We identified 14 studies, including four completed randomized controlled trials (RCTs), one planned RCT, and eight completed observational studies, and one planned observational study. Three of the four RCTs indicated that crowdsourcing is an effective, low-cost approach for improving HIV testing and condom use among key populations. Results from the observational studies revealed diverse applications of crowdsourcing to inform policy, research, and intervention development related to HIV/sexual health services. Summary Crowdsourcing can be an effective tool for informing the design and implementation of HIV/sexual health service interventions, spurring innovation in sexual health research, and increasing community engagement in sexual health campaigns. More research is needed to examine the feasibility, acceptability, and effectiveness of crowdsourcing interventions, particularly in low-and middle-income countries.

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Section: Policy and Research Implicationsmentioning

confidence: 99%

Crowdsourcing to Improve HIV and Sexual Health Outcomes: a Scoping Review

Tang

Ritchwood

et al. 2019

Curr HIV/AIDS Rep

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“…This could be accomplished through implementing the solution in a local community (Tang et al 2018) or creating open access materials for public use. (Wu et al 2018) For example, the rights to an exceptional crowdsourced image could be made widely available through creative commons attribution. Crowdsourcing approaches may generate a range of materials and products that can be shared in both digital and in-person formats.…”

Section: Crowdsourcing: a Definitionmentioning

confidence: 99%

“…Crowdsourcing approaches may generate a range of materials and products that can be shared in both digital and in-person formats. Some examples of ways that crowdsourced materials have been shared include: providing crowdsourced images, concepts, and logos to the public through an open access website; (Wu et al 2018) widely distributing images through social media; (Zhang et al 2015) evaluating the effectiveness of the crowdsourced output through a trial; (Tang et al 2016a;Tang et al 2016c;Tang et al 2018) holding a series of in-person workshops to communicate crowdsourced findings with key stakeholders. (Zhang et al 2017a) PeerJ reviewing PDF | (2018:10:32351:2:1:NEW 5 Mar 2019)…”

Section: Crowdsourcing: a Definitionmentioning

confidence: 99%

Peer Review #1 of "Crowdsourcing in medical research: concepts and applications (v0.1)"

2019

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Crowdsourcing shifts medical research from a closed environment to an open collaboration between the public and researchers. We define crowdsourcing as an approach to problem solving which involves an organization having a large group attempt to solve a problem or part of a problem, then sharing solutions. Crowdsourcing allows large groups of individuals to participate in medical research through innovation challenges, hackathons, and related activities. The purpose of this literature review is to examine the definition, concepts, and applications of crowdsourcing in medicine. This multidisciplinary review defines crowdsourcing for medicine, identifies conceptual antecedents (collective intelligence and open source models), and explores implications of the approach. Several critiques of crowdsourcing are also examined. Although several crowdsourcing definitions exist, there are two essential elements: (1) having a large group of individuals, including those with skills and those without skills, propose potential solutions; (2) sharing solutions through implementation or open access materials. The public can be a central force in contributing to formative, pre-clinical, and clinical research. A growing evidence base suggests that crowdsourcing in medicine can result in high-quality outcomes, broad community engagement, and more open science.

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“…This could be accomplished through implementing the solution in a local community 11 or creating open access materials for public use. 12 For example, the rights to an exceptional crowdsourced image would not be held by the crowdsourcing organizers, but would instead be made widely available through creative commons attribution. Additionally, given that crowdsourcing takes a solution from a group, there is an ethical responsibility to share the solution with the public.…”

Section: Crowdsourcing: a Definitionmentioning

confidence: 99%

“…13 Crowdsourcing approaches may generate a range of materials and products that can be shared in both digital and in-person formats. Some examples of ways that crowdsourced materials have been shared include: providing crowdsourced images, concepts, and logos to the public through an open access website; 12 widely distributing images through social media; 14 evaluating the effectiveness of the crowdsourced output through a trial; 7,11,15 holding a series of in-person workshops to communicate crowdsourced findings with key stakeholders. 16 These two crowdsourcing components -group participation and sharing of solutions -are each indebted to earlier multidisciplinary theory on collective intelligence and open source models, respectively.…”

Section: Crowdsourcing: a Definitionmentioning

confidence: 99%

Crowdsourcing in medical research: theory and practice

Tucker

Day

Tang

et al. 2018

Preprint

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The field of crowdsourcing for medicine has substantially expanded. We define crowdsourcing as an organization having a large group attempt to solve community problem, then share the solution with the broader public. Large groups of individuals can participate in medical research through open contests, hackathons, and related activities. The purpose of this literature review is to examine the definition, theory, and practice of crowdsourcing in medicine in order to facilitate crowdsourcing research. This multi-disciplinary review defines crowdsourcing for health, identifies theoretical antecedents (collective intelligence and open source models), and explores implications of the approach. Several critiques of crowdsourcing are also examined. Although several crowdsourcing definitions exist, there are two essential elements: (1) having a large group of individuals, including experts and non-experts, propose potential solutions; (2) sharing solutions with the public through implementation or open access materials. The public can be a central force in framing a common problem and developing feasible and compelling solutions. Crowdsourcing is related to, but distinct from other participatory research approaches. Crowdsourcing can be a useful for informing medical research, programs, and policy. A growing evidence base suggests that crowdsourcing in medicine can result in high-quality outcomes, broad community engagement, and more open science.

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Community participation in a Lancet Healthy Cities in China Commission

Cited by 10 publications

References 7 publications

Crowdsourcing to Improve HIV and Sexual Health Outcomes: a Scoping Review

Crowdsourcing to Improve HIV and Sexual Health Outcomes: a Scoping Review

Peer Review #1 of "Crowdsourcing in medical research: concepts and applications (v0.1)"

Crowdsourcing in medical research: theory and practice

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