Workshop on Foundations of Responsible Data Science (FoRDS)

负责任数据科学基础研讨会 (FoRDS)

• 批准号: 1902959
• 负责人: Bill Howe
• 金额: $ 10万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1902959&HistoricalAwards=false
• 关键词: Workshop; Foundations; Responsible; Data; Science

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.

该项目支持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，法律和政策方面的专家，以阐明负责任数据科学的新基础研究议程。“负责任的”一词是指数据密集型系统，考虑到与其部署的更大社会背景相关的道德和认识问题。这些问题涉及到数据的来源，学习系统的培训，决策环境中部署，以及潜在的利益相关者之间的竞争目标使用it.The研讨会产生一份报告，定义了一个研究议程，将在社会科学，经济学，法律和公共政策的发现纳入新的算法技术和系统。虽然重点是基础研究，但该研讨会旨在将技术付诸实践的转化问题，由数据科学进步驱动的社会科学新研究问题，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新研究问题。这些活动与“未来NSF投资的十大想法”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造社会的机会，该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的评估来支持。影响审查标准。