Platform-based laborers face unprecedented challenges and working conditions that result from algorithmic opacity, insufficient data transparency, and unclear policies and regulations. The CSCW and HCI communities increasingly turn to worker data collectives as a means to advance related policy and regulation, hold platforms accountable for data transparency and disclosure, and empower the collective worker voice. However, fundamental questions remain for designing, governing and sustaining such data infrastructures. In this workshop, we leverage frameworks such as data feminism to design sustainable and power-aware data collectives that tackle challenges present in various types of online labor platforms (e.g., ridesharing, freelancing, crowdwork, carework). While data collectives aim to support worker collectives and complement relevant policy initiatives, the goal of this workshop is to encourage their designers to consider topics of governance, privacy, trust, and transparency. In this one-day session, we convene research and advocacy community members to reflect on critical platform work issues (e.g., worker surveillance, discrimination, wage theft, insufficient platform accountability) as well as to collaborate on codesigning data collectives that ethically and equitably address these concerns by supporting working collectivism and informing policy development.

翻译：平台劳动者面临着前所未有的挑战与工作条件，这些困境源于算法不透明性、数据透明度不足以及政策法规不明确。CSCW与人机交互学界日益转向以劳动者数据集体作为推进相关政策法规、要求平台承担数据透明与披露责任、增强劳动者集体话语权的手段。然而，此类数据基础设施的设计、治理与持续运行仍存在根本性问题。本研讨会借助数据女性主义等理论框架，旨在设计可持续且具有权力意识的数据集体，以应对各类在线劳动平台（如网约车、自由职业、众包工作、护理工作）中的现存挑战。数据集体虽致力于支持劳动者集体并补充相关政策倡议，但本次研讨会的核心目标是引导设计者深入思考治理、隐私、信任与透明度等议题。在这为期一天的会议中，我们汇聚研究与倡导领域的成员，共同反思平台劳动的关键问题（如劳动者监控、歧视、薪酬欺诈、平台问责不足），并通过协作设计数据集体，以支持劳动集体主义、推动政策制定，从而以符合伦理且公平的方式应对这些挑战。