Convergence HTF: A Workshop Shaping Research on Human-Technology Partnerships to Enhance STEM Workforce Engagement

Convergence HTF：塑造人类技术伙伴关系研究以增强 STEM 员工参与度的研讨会

• 批准号: 1744386
• 负责人: Keivan Stassun
• 金额: $ 9.83万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1744386&HistoricalAwards=false
• 关键词: Convergence; HTF; Workshop; Shaping; Research

The landscape of jobs and work is changing rapidly, driven by the development of new technologies. Intelligent, automated machines and services are a growing part of jobs and the workplace. New technologies are enabling new forms of learning, skills assessments, and job training. The potential benefits of these technologies include increased productivity and satisfaction, and more job opportunities. The workshop supported by this award aims to harness these innovations to enhance the science, technology, engineering, and mathematics (STEM) job opportunities and workforce engagement of individuals with autism spectrum disorder (ASD), and related developmental disabilities. The workshop will promote the convergence of psychology, data science, computer science, engineering, learning science, special education, organizational behavior, and business to define key challenges and research imperatives at the nexus of humans, technology, and work. This convergence workshop will employ deep integration of knowledge, theories, methods, and data from multiple fields to form new and expanded frameworks for addressing scientific and societal challenges and opportunities. The results of the workshop will include the identification and sharing of new research directions and tools to enhance STEM workforce engagement of individuals with ASD and related developmental disabilities. This convergence workshop addresses the future of work at the human-technology frontier.The workshop will explore tools and approaches to enhance retention, engagement, and productivity in STEM jobs, and specifically to harness unique capabilities and accommodate for individual needs of individuals with ASD. The workshop will develop a convergence research agenda around four topics, including 1) human-technology partnerships to support success in K-12 STEM education, 2) tools for characterizing individual capabilities and affinities and mapping these to STEM workforce needs, 3) artificial-intelligence and visual-cognition tools for human interaction with data, and 4) technologies to accommodate for unique needs and capabilites in the workplace. These topics will integrate previously disparate disciplines and research approaches, with speakers encompassing a wide range of subject matter expertise; from engineers and technologists who are developing human-technology interfaces and devices, to psychologists who are harnessing human-technology partnerships to better understand unique human capabilities for STEM, to computer scientists who are studying and developing novel data-visualization approaches patterned on autistic visual thinking, to organizational scientists developing innovative employment models for the creation of STEM sector employment spaces and technologies that leverage and support autistic individuals in the workforce. The conclusions and recommendations from the workshop will be disseminated via a white paper, and will be used to design a research agenda to help leverage human-technology advances to maximize workforce opportunities and productivity.

在新技术发展的推动下，就业和工作格局正在迅速变化。智能、自动化的机器和服务在工作和工作场所中的比重越来越大。新技术使新形式的学习、技能评估和职业培训成为可能。这些技术的潜在好处包括提高生产力和满意度，以及更多的就业机会。该奖项支持的研讨会旨在利用这些创新来提高自闭症谱系障碍（ASD）和相关发育障碍患者的科学，技术，工程和数学（STEM）就业机会和劳动力参与度。该研讨会将促进心理学、数据科学、计算机科学、工程学、学习科学、特殊教育、组织行为学和商业的融合，以确定人类、技术和工作关系中的关键挑战和研究必要性。这个融合研讨会将采用来自多个领域的知识，理论，方法和数据的深度整合，以形成新的和扩展的框架，以应对科学和社会的挑战和机遇。研讨会的成果将包括确定和分享新的研究方向和工具，以加强ASD和相关发育障碍者的STEM劳动力参与。本次融合研讨会探讨了人类技术前沿工作的未来。研讨会将探讨提高STEM工作保留率，参与度和生产力的工具和方法，特别是利用独特的能力并适应ASD患者的个人需求。研讨会将围绕四个主题制定融合研究议程，包括1）人类技术伙伴关系，以支持K-12 STEM教育的成功，2）描述个人能力和亲和力并将其映射到STEM劳动力需求的工具，3）人工智能和视觉认知工具，用于人类与数据的交互，以及4）满足工作场所独特需求和能力的技术。这些主题将整合以前不同的学科和研究方法，演讲者涵盖广泛的主题专业知识;从开发人类技术界面和设备的工程师和技术人员，到利用人类技术伙伴关系更好地了解人类在STEM方面独特能力的心理学家，对于正在研究和开发以自闭症视觉思维为模式的新型数据可视化方法的计算机科学家来说，组织科学家开发创新的就业模式，创造STEM部门的就业空间和技术，利用和支持自闭症患者的劳动力。研讨会的结论和建议将通过一份白色文件传播，并将用于设计研究议程，以帮助利用人类技术进步，最大限度地提高劳动力的机会和生产力。