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.

在新技术的发展驱动的驱动下，工作和工作的景观正在迅速变化。智能，自动化的机器和服务是工作和工作场所的越来越多的一部分。新技术正在实现新形式的学习，技能评估和职业培训。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工作机会。该奖项支持的研讨会旨在利用这些创新，以增强科学，技术，工程和数学（STEM）的工作机会和自闭症谱系障碍（ASD）和相关发育障碍的人的工作机会和劳动力参与。研讨会将促进心理学，数据科学，计算机科学，工程，学习科学，特殊教育，组织行为和业务的融合，以定义人类，技术和工作联系的关键挑战和研究要求。该融合研讨会将采用来自多个领域的知识，理论，方法和数据的深入整合，以形成新的和扩展的框架，以应对科学和社会挑战和机遇。研讨会的结果将包括识别和共享新的研究方向和工具，以增强ASD和相关发育障碍的人的STEM劳动力参与。该融合研讨会介绍了人类技术领域的工作未来。该研讨会将探索工具和方法，以增强STEM工作中的保留率，参与度和生产力，特别是为了利用独特的能力，并适应ASD患者的个人需求。该研讨会将在四个主题上制定融合研究议程，包括1）人类技术伙伴关系，以支持K-12 STEM教育的成功，2）用于表征个体能力和亲和力的工具，并将这些工具映射到STEM劳动力需求，3）人工 - 智能和视觉认知工具，以与数据相互作用，以及与数据相互作用，以及可容纳与数据相互作用，以及4）独特的技术和象征。这些主题将整合以前不同的学科和研究方法，而演讲者涵盖了广泛的主题专业知识。从正在开发人类技术互动和设备的工程师和技术人员到正在利用人类技术伙伴关系的心理学家到心理学家，以更好地了解STEM的独特人类能力，再到正在研究和开发新颖的数据视觉方法的计算机科学家，以对自动化的自动化学家进行自动化的自动化企业的创造力和技术的范围，以实现自动化的自动化学，并为STESTICS的创造力提供了驱动力的工具，并为STESTICS的创造力而建立了技术，并为STECTORIPENT STOPERIAND STOPERIAND STOPERIAND STOPERIPENT STOPERIPENT模型提供了STESTICS的模型劳动力。研讨会的结论和建议将通过白皮书传播，并将用于设计研究议程，以帮助利用人工技术进步，以最大程度地提高劳动力机会和生产力。