Workshop on Foundations of Responsible Data Science (FoRDS)

该项目支持一个关于负责任数据科学基础的跨学科研讨会，召集计算机科学、统计学、社会科学、法律和政策领域的专家，阐明负责任数据科学的新基础研究议程。“负责任”一词指的是数据密集型系统，它考虑到与部署它们的更大社会背景相关的伦理和认知问题。这些问题与训练学习系统的数据来源、部署学习系统的决策环境以及使用学习系统的利益相关者之间潜在的竞争目标有关。研讨会产生一份报告，确定研究议程，将社会科学、经济学、法律和公共政策的研究成果纳入新的算法技术和系统。虽然重点是基础研究，但研讨会旨在揭示将技术应用于实践的转化问题，由数据科学进步驱动的社会科学中的新研究问题，以及由不断变化的算法决策环境驱动的教育和劳动力发展的新研究问题。这些活动与“美国国家科学基金会未来投资的十大理念”之一的“利用数据革命”（HDR）具有协同作用，因为它侧重于利用技术改变社会的机会，并将社会规范融入技术发展。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 supports an interdisciplinary workshop on Foundations of Responsible Data Science, convening experts across computer science, statistics, social sciences, law, and policy to articulate a new foundational research agenda in responsible data science. The term "responsible" refers to data-intensive systems that take into account the ethical and epistemic issues associated with the larger social contexts in which they are deployed. These issues relate to the sources of data on which a learning system is trained, the decision-making contexts in which it is deployed, and the potentially competing goals among stakeholders that use it.The workshop produces a report defining a research agenda to incorporate findings in the social sciences, economics, law, and public policy into new algorithmic techniques and systems. Although the emphasis is on foundational research, the workshop is designed to surface translational issues in bringing techniques into practice, new research questions in the social sciences driven by advances in data science, and new research questions in education and workforce development driven by the changing landscape of algorithmic decision-making. These activities are synergistic with Harnessing the Data Revolution (HDR), one of the ``10 Big Ideas for Future NSF Investments,'' in that it focuses on the opportunities to transform society with the use of technology, and to embed societal norms into technological development.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.