The SMART Framework: Integration of Citizen Science, Community-Based Participatory Research, and Systems Science for Population Health Science in the Digital Age
The SMART Framework: Integration of Citizen Science, Community-Based Participatory Research, and Systems Science for Population Health Science in the Digital Age
复制标题
DOI：
10.2196/14056
复制
发表时间：
2019-08-30
影响因子：
5
通讯作者：
Katapally, Tarun Reddy
中科院分区：
文献类型：
--
作者：
Katapally, Tarun Reddy
公民科学正在逐渐成为人口健康研究的一种有针对性的方法。鉴于公民科学与以社区为基础的研究有着内在的联系，参与性行动推动着研究议程，这两种方法可以结合起来解决复杂的人口健康问题。以社区为基础的参与性研究在多个学科和部门解决卫生不公平问题方面有着良好的应用记录。公民科学可以利用基于社区的参与式研究结构，将解决问题的地方方法带到全球范围，因为公民科学是通过不受地理限制的个人环境行动主义出现的。如果与系统科学相结合，这种协同作用对人口健康研究具有重要意义，系统科学可以为公民科学和基于社区的参与性研究提供理论和方法论力量。系统科学应用整体的视角来理解系统内部和系统之间因果关系的复杂机制，因为它通过利用大数据驱动的高级计算模型超越了线性关系。然而，要真正整合公民科学、基于社区的参与性研究和系统科学，现在是时候认识到无处不在的数字化工具（如智能手机）的力量，将我们所有人联系起来并提供大数据。智能手机不仅有可能通过为被剥夺权利的公民提供声音来创造公平，而且基于智能手机的应用程序也有能力获取大数据，为政策提供信息。公民科学合法化的一个迫在眉睫的挑战是最大限度地减少偏见，这可以通过标准化方法和提高数据质量来实现，这是一个严格的过程，需要研究人员与公民科学家合作，利用基于社区的参与性研究行动的原则。这项研究推进了SMART，这是一个基于证据的框架，通过无处不在的工具整合了公民科学，基于社区的参与式研究和系统科学，解决了公民参与，数据管理和互联网不平等等核心挑战，使这种整合合法化。
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.