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

该项目旨在通过提供一次地区性会议来服务于国家利益，会议的重点是社会科学中数据科学的伦理、有效和合理使用。这次跨学科会议旨在就学术界的边界和企业对地理空间数据科学的需求和使用的挑战进行深入讨论。这次会议将汇集地理信息科学、地理、教育、语言学、人文科学、社会科学和社区团体等多个领域的学者。会议将集中讨论如何以及如何教授数据科学领域的本科生，以确保他们能够以道德、准确、有效和公平的方式应用数据科学，以应对南佛罗里达地区和全国范围内面临的挑战。预计这次会议将发表一系列经过编辑的文章，从而使与会者和非与会者能够接触到这次会议涉及的许多重要方面。计划召开的会议的主要主题将侧重于教学战略，以讲授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。会议的贡献将在持续和快速的技术进步的背景下应对紧迫的挑战，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，研讨会还将审查创新的教学和学习活动，这些活动将有效性和公平性的伦理考虑纳入存储、处理、分析、表示和共享数据的新方式。从理论的角度，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集思广益。会议稿件还将概述教学战略，以教授地理空间数据收集、分析和可视化如何挑战偏见、误解以及政府和公司在导致不公正的地理空间技术和数据做法方面的权力问题。最后，会议发言还将探讨常见形式的数据收集、分析和分析以及可视化的潜在替代办法，例如反数据和参与式数据收集方法、归纳可视化以及地球空间数据科学中自反性和对背景敏感的方法的结合。主旨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。一些焦点问题包括士绅化、驱逐和流离失所、海平面上升、系统性种族主义、对公共服务的投资减少、韧性，以及在迈阿密一些最古老的社区保护少数族裔社区文化多样性的历史。NSF IUSE：EHR计划支持研究和开发项目，以提高STEM教育对所有学生的有效性。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.