Scientific and Ethical Implications of the Emerging Data Sciences for the Interpretive Social Sciences: An Interdisciplinary Workshop: Arlington, VA - Fall 2019

新兴数据科学对解释性社会科学的科学和伦理影响：跨学科研讨会：弗吉尼亚州阿灵顿 - 2019 年秋季

• 批准号: 1926175
• 负责人: Dena Plemmons
• 金额: $ 2.46万
• 依托单位: University of California-Riverside
• 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 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1926175&HistoricalAwards=false
• 关键词: Scientific; Ethical; Implications; Emerging; Data

This workshop explores the scientific and ethical implications of open science initiatives and calls for research transparency for understandings of "data" in qualitative social science research. Building on prior NSF-funded projects, participants will consider evolving and competing meanings of data given recent developments in data management, including examinations of data collection, sharing, and analysis. This will be accomplished by drawing together proponents of open science and scholars with diverse perspectives about possible and appropriate management of qualitative data, including ethicists, social scientists, representatives from federal and private funding agencies, and public policy scholars. Participants will explore the ways emerging data sciences, broadly conceived, are driving priorities for the interpretive social sciences and reshaping our understanding of them. It will also identify key challenges to better representing the methodological pluralism of the social sciences, including competing accounts of "data" and associated implications for managing qualitative research results. Workshop outcomes will inform decision-making in the science policy and funding communities regarding science and data management in the ethnographic/humanistic social sciences. This workshop considers consequences of widespread, often technologically-enabled approaches to data management and the rising influence of data-reliant industries for qualitative social science research. A primary workshop goal is to systematically articulate where and how the push towards open science and data management is compatible with qualitative social science research and where it might not be. In so doing, the workshop will examine the implications of different conceptualizations of "data" across the social sciences, and invite discussion of how these often unacknowledged and underplayed differences figure in competing processes of sense-making, including how data are collected, classified, interpreted, and archived, and the concomitant ethical implications of each of these processes.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.

本次研讨会探讨了开放科学倡议的科学和伦理影响，并呼吁提高研究透明度，以理解定性社会科学研究中的“数据”。在之前 NSF 资助的项目的基础上，参与者将考虑数据管理的最新发展，包括数据收集、共享和分析的检查，考虑数据的演变和竞争意义。这将通过将开放科学的支持者和对定性数据的可能和适当管理持有不同观点的学者聚集在一起来实现，其中包括伦理学家、社会科学家、联邦和私人资助机构的代表以及公共政策学者。参与者将探索新兴数据科学如何推动解释性社会科学的优先事项并重塑我们对它们的理解。它还将确定更好地代表社会科学方法论多元化的关键挑战，包括“数据”的竞争性解释以及管理定性研究结果的相关影响。研讨会的成果将为科学政策和资助界关于人种学/人文社会科学中的科学和数据管理的决策提供信息。本次研讨会考虑了广泛的、通常由技术支持的数据管理方法的后果，以及数据依赖行业对定性社会科学研究日益增长的影响。 研讨会的主要目标是系统地阐明开放科学和数据管理的推动在哪些方面以及如何与定性社会科学研究兼容以及可能不兼容。 在此过程中，研讨会将研究社会科学中“数据”的不同概念的含义，并邀请讨论这些经常未被承认和低估的差异如何在意义建构的竞争过程中发挥作用，包括数据如何收集、分类、该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。