Conference: Innovative and Ethical Practices and Pedagogies in the Social Sciences: Geospatial Data, Validity and Fairness

该项目旨在为国家利益服务，通过提供一个区域会议，重点关注社会科学中数据科学的道德、有效和公平使用。本次跨学科会议旨在就地理空间数据科学的学术边界和企业需求和使用的挑战进行深入讨论。本次会议将汇集多个领域的学者，包括地理信息科学、地理学、教育学、语言学、人文科学、社会科学和社区团体。会议将重点讨论如何以及如何教授数据科学领域的本科生，以确保他们能够合乎道德地、准确地、有效地、公平地应用数据科学来应对南佛罗里达地区和全国各地面临的挑战。预计将有一系列经过编辑的文章来自本次会议，从而使与会者和非与会者能够访问本次会议涵盖的许多重要方面。本次会议的主题将集中在1)数据收集、2)数据分析和分析以及3)数据可视化的伦理方面的教学策略。会议的贡献将解决在不断和迅速的技术进步背景下的紧迫挑战，例如平衡技术和技术学习与概念和伦理、有效和公平的知识生产。从应用的角度来看，研讨会还将回顾创新的教学方法和学习活动，这些方法和学习活动将有效性和公平性的伦理考虑整合到存储、操作、分析、表示和共享数据的新方法中。从理论角度来看，研讨会参与者将讨论（重新）伦理问题的定义，并就地理空间数据有效性和公平性的关键生成术语进行头脑风暴。会议的贡献还将调查教学策略，以教授地理空间数据收集、分析和可视化如何挑战导致不公正的地理空间技术和数据实践中政府和公司的偏见、误解和权力问题。最后，会议的贡献还将探讨数据收集、分析和可视化等常见形式的潜在替代方案，例如反数据和参与式数据收集方法、归纳可视化方法，以及地理空间数据科学中反思性和上下文敏感方法的集成。主题演讲将包括致力于伦理地理空间数据问题的社会科学家和当地社区组织的贡献。重点关注的问题包括高档化、驱逐和流离失所、海平面上升、系统性种族主义、公共服务投资减少、恢复力，以及保护迈阿密一些最古老社区的少数族裔社区的文化多样性历史。NSF IUSE: EHR计划支持研究和开发项目，以提高所有学生STEM教育的有效性。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 aims to serve the national interest by providing a regional conference focused on ethical, valid, and fair use of data science in the social sciences. This interdisciplinary conference seeks to generate an in-depth discussion on the challenges of academia’s boundaries and corporate need and use for geospatial data science. This conference will bring together scholars in several areas including geographic information science, geography, education, linguistics, humanities, social sciences, and community groups. The conference will focus on how and what to teach undergraduate students in the area of data science to assure they can apply data science ethically, accurately, usefully, and fairly to challenges facing the region of South Florida and across the nation. An edited series of articles is expected to come from this conference, thus enabling attendees and non-attendees access to many of the important aspects covered in this conference. The main themes of the envisaged conference will focus on pedagogical strategies to teach the ethical aspects of 1) data collection, 2) data analytics and analysis, and 3) data visualization. Conference contributions will address pressing challenges in the context of constant and rapid technological advancements, such as balancing technological and technical learning with conceptual and ethical, valid, and fair knowledge production. From the applied perspective, the workshop will also review innovative pedagogies and learning activities that integrate ethical considerations of validity and fairness into the new ways of storing, manipulating, analyzing, representing, and sharing data. From a theoretical perspective, workshop participants will discuss (re)definitions of ethical issues and brainstorm on key generative terms of geospatial data validity and fairness. Conference contributions will also survey pedagogical strategies to teach how geospatial data collection, analysis and visualization might challenge biases, misinterpretations, and issues of power of government and corporations in geospatial technologies and data practices that lead to injustice. Finally, conference contributions will also explore potential alternatives to the common forms of data collection, analytics and analysis, and visualization, such as counter-data and participatory approaches to data collection, inductive visualization, and integration of reflexive and context-sensitive approaches in geospatial data science. Keynote presentations will include contributions from social scientists working on ethical geospatial data issues and from local community organizations. Some issues of focus are gentrification, evictions and displacement, sea-level rise, systemic racism, disinvestment in public services, resilience, and preservation of the culturally diverse history of minority communities in some of the oldest neighborhoods in Miami. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students.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.