Convergence HTF: Workshop on Converging Human and Technological Perspectives in Crowdsourcing Research

Convergence HTF：众包研究中人类与技术视角融合研讨会

• 批准号: 1744401
• 负责人: Heng Xu
• 金额: $ 4.91万
• 依托单位: Pennsylvania State Univ University Park
• 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: 2017-09-15 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1744401&HistoricalAwards=false
• 关键词: Convergence; HTF; Workshop; Converging; Human

Intelligent, interactive, and highly networked machines -- with which people increasingly interact -- are a growing part of the landscape, particularly in regard to work. As automation today moves from the factory floor to knowledge and service occupations, research is needed to reap the benefits in increased productivity and increased job opportunities, and to mitigate social costs. The workshop supported by this award will promote the convergence of computer science, data management, machine learning, education, and the social and behavioral sciences to define key challenges and research imperatives of the nexus of humans, technology, and work. Convergence is the 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. This convergence workshop addresses the future of work at the human-technology frontier.The specific focus of this workshop is on crowdsourcing -- the production of networked knowledge from public participation. This is a new area of research, gaining attention from researchers who study human-computer interactions, data management, machine learning, human behavior, and business. This workshop will bring together researchers from these and other relevant communities to (1) synthesize the diverse perspectives found in these different fields, (2) integrate different knowledge, theories and data to create a transdisciplinary and convergent research roadmap, and (3) catalyze new research directions and advance scientific discovery and innovation in crowdsourcing research. The workshop will also contribute toward broadening participation in this area of research by proactively seeking inclusion of traditionally underrepresented persons.

智能、互动和高度网络化的机器--人们越来越多地与之互动--正在成为景观的一部分，特别是在工作方面。 随着今天的自动化从工厂车间转移到知识和服务行业，需要进行研究，以获得提高生产力和增加就业机会的好处，并减轻社会成本。 该奖项支持的研讨会将促进计算机科学，数据管理，机器学习，教育以及社会和行为科学的融合，以确定人类，技术和工作关系的关键挑战和研究必要性。 融合是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。这一融合研讨会讨论了人类-技术前沿工作的未来，具体重点是众包-通过公众参与产生网络知识。 这是一个新的研究领域，引起了研究人机交互、数据管理、机器学习、人类行为和商业的研究人员的关注。 本次研讨会将汇集来自这些和其他相关社区的研究人员，以（1）综合这些不同领域的不同观点，（2）整合不同的知识，理论和数据，以创建跨学科和融合的研究路线图，（3）催化新的研究方向，并推进科学发现和众包研究创新。 讲习班还将通过积极争取纳入传统上代表性不足的人，为扩大这一研究领域的参与做出贡献。