Research for Ethical Data Science in Southern Africa (REDSSA)

项目总结 南部非洲伦理数据科学研究(REDSSA)项目的总体目标是 关于开展数据科学研究的伦理、法律和社会影响(ELSI)的新知识， 为数据科学计划的实施和治理制定基于证据的、针对具体情况的指导 例如DS-I非洲，并加强南部非洲负责任的数据科学文化。该项目 将分三个阶段进行。 第一阶段是研究密集型的，将获得关于关键利益相关者对开发的看法的经验数据 数据科学指导，为南部非洲DSI-非洲研究中心的治理提供信息。这一阶段将 从与数据科学相关的ELSI问题的概念研究和规范分析开始。重要 要探索的概念将包括数据主权，其中数据保护与负责任的数据相平衡 分享。鉴于数字数据经常被公众视为无形和抽象的，该项目将 将众包作为公民科学的一种形式，为创新教育工具的发展提供信息， 可以根据利益攸关方对DS-I非洲网络中数据科学的参与情况进行调整。使用这些工具，我们 将与主要利益相关者进行深入访谈，以确定他们在ELSI-数据科学方面的经验 当前指导中的相关挑战、差距及其对指导的程序性和实质性方面的看法 数据科学治理方面的发展。实证研究中出现的关键主题将支持我们的 共同制定DS-I非洲联盟所需的准则、程序和政策的办法。在.期间 第一阶段，嵌入研究中心的伦理顾问将解决新出现的ELSI问题。 在这个项目的第二阶段，我们将开发由第一阶段研究和BEST通知的指导文件 国际数据科学研究指南的实践、有限的经验和现有的文献 关于南部非洲的数据科学研究和数据管理治理。重要的是，这样 指导将以团结、共享和互利的价值观为指导--这是南方的重要概念 建立在公共利益基础上的非洲道德框架。这种方法与健康数据生态系统是一致的 这需要不同的利益攸关方为卫生创新而合作。这些政策的结果与 活动将根据我们的概念性和经验性工作中确定的主要关切和原则进行调整 将就在中心进行的数据科学研究的ELSI提供有当地基础的实用指导。 在项目的第三阶段，我们的目标是扩大影响并增强我们的研究和 通过创建以数据科学为重点的ELSI网络和通信渠道进行治理活动 南部非洲。这将涉及建立ELSI南部非洲数据科学网络(EDSSAN)，以 应对DS-I非洲研究中心在资助期后不断变化的ELSI关切，主办年度 会议，并利用现有的本地网络。

PROJECT SUMMARY The Research for Ethical Data Science in Southern Africa (REDSSA) project has the overall aims of producing new knowledge in regard to the ethical, legal and social implications (ELSI) of conducting data science research, to develop evidence-based, context specific guidance for the conduct and governance of data science initiatives such as DS-I Africa, and to strengthen the culture of responsible data science in Southern Africa. The project will be conducted in three phases. Phase 1 is research intensive and will obtain empirical data on key stakeholder views regarding the development of data science guidance to inform governance of DSI-Africa Research Hubs in Southern Africa. This phase will start with conceptual research and normative analysis of the ELSI issues related to data science. Important concepts to explore will include data sovereignty where data protection is balanced with responsible data sharing. Given that digital data is often experienced as intangible and abstract by the lay public, the project will employ crowdsourcing as a form of citizen science to inform the development of innovative educational tools that could be adapted for stakeholder engagement in data science in the DS-I Africa network. Using these tools, we will conduct in-depth interviews with key stakeholders to ascertain their experiences with ELSI-data science related challenges, gaps in current guidance and their views on procedural and substantive aspects of guidance development in data science governance. Key themes that emerge from the empirical research will underpin our approach to co-creation of guidelines, procedures and policies required in the DS-I Africa consortium. During phase 1, ethics consultants embedded in the Research Hubs will address emerging ELSI concerns. In Phase 2 of this project, we will develop guidance documents informed by phase 1 research and by best practices in international data science research guidance, the limited experience and existing literature to date concerning data science research and governance of data management in Southern Africa. Importantly, such guidance will be informed by the values of solidarity, sharing and mutual benefit - important concepts in Southern African moral frameworks based on communal good. This approach is congruent with health data ecosystems that require different stakeholders to work collaboratively for health innovation. The results of these policy-related activities will be tempered with key concerns and principles identified in our conceptual and empirical work and will provide locally grounded, practical guidance on the ELSI of data science research conducted in the hubs. In Phase 3 of the project, we aim to amplify the impact and enhance the sustainability of our research and governance activities by creating ELSI networks and communication channels focusing on data science in Southern Africa. This will involve establishing an ELSI Data Science Southern African Network (EDSSAN) to respond to evolving ELSI concerns in DS-I Africa Research Hubs beyond the funding period, hosting annual conferences, and leveraging existing local networks.