POSE: Phase I: An open-source ecosystem for massive online experiments and citizen science

该项目由开放源代码生态系统之路（POSE）资助，旨在利用开放源代码开发的力量，为国家和社会重要问题创造新技术解决方案。从历史上看，行为研究几乎完全是在小型实验室中进行的，参与者人数很少。在“大数据”时代，科学家们已经意识到，大量的志愿者“公民科学家”可以使用自己的智能手机、可穿戴设备和电脑在世界任何地方进行研究。从这样一个大型研究中收集的数据可以回答通常需要数百或数千个小型实验室实验才能解决的问题。这个项目的影响将是通过规划一个由专业和业余研究人员组成的社区来促进和民主化大规模的行为研究，这些研究人员使用并建立一个用于设计和运行此类研究的开源软件平台。该项目有三个组成部分。首先，该项目寻求进行生态系统发现，以确定潜在用户的需求，确定与其他开源项目的潜在合作伙伴关系，并在非营利组织和行业中寻找潜在的合作者。其次，组织和治理活动将建立一个正式的治理结构，并使用开放源代码安全基金会（OpenSSF）最佳实践来实现，包括增强的自动化测试、持续集成和健壮的安全措施。最后，社区建设活动将通过一系列研讨会、黑客马拉松、在线教程和有针对性的实验室交流来支持现有用户和贡献者以及新合作者。该项目制定了一个长期计划，以在一个治理良好、管理良好的组织中发展和维持开源生态系统。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project is funded by Pathways to Enable Open-Source Ecosystems (POSE) which seeks to harness the power of open-source development for the creation of new technology solutions to problems of national and societal importance. Behavioral research has historically and almost exclusively taken place in small laboratories with small numbers of participants. In the era of "big data," scientists have realized that huge numbers of volunteer "citizen scientists" can conduct studies anywhere around the world using their own smartphones, wearables, and computers. Data collected from one such large study can answer questions that would normally need hundreds or thousands of small laboratory experiments. This project's impact will be to facilitate and democratize large-scale behavioral research by planning a community of professional and amateur researchers who use and build upon an open-source software platform used for designing and running such studies. The project has three components. First, the project seek to conduct ecosystem discovery to identify the needs of potential users, scope potential partnerships with other open-source projects, and find potential collaborators at non-profits and in industry. Second, the organization and governance activities will be established a formal governing structure and implemented using Open Source Security Foundation (OpenSSF) Best Practices, including enhanced automated testing, continuous integration, and robust security measures. Finally, community building activities will support existing users and contributors and onboard new collaborators through a series of workshops, hackathons, online tutorials, and targeted lab exchanges. The project develops a long-term plan for growing and sustaining the open-source ecosystem within a well-governed and well-managed organization.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.