Collaborative Research: IRES Track I: Artificial Intelligence and Human Designer - Research Experience in Singapore (AIHD Singapore)

尽管数据分析和人工智能(AI)几乎触及了人类生活的方方面面，但设计工作流程并未充分受益于这些巨大的机会。更好地了解设计过程的动态可以对美国传统上遭受长期生产率问题困扰的建筑/工程/建筑(AEC)行业产生长期的积极影响。该项目将承认并促进计算和协作能力的发展，将其作为21世纪工作场所的基本技能。人工智能在设计和施工工作场所的新兴应用使得为未来的劳动力培养计算流利的AEC专业人员的计划变得至关重要。随着技术越来越多地嵌入到AEC系统中，我们预计计算流畅性的关键程度将会上升。这项研究将为美国学生提供一个前所未有的机会，让他们参与对设计发展过程的变革性反思。它还为培训他们在设计管理、生产力评估、人工智能和设计计算方面有前途的多学科职业生涯奠定了基础，同时促进了这些领域的智力交叉授粉。拟议中的IRES AIHD-新加坡项目将为美国学生提供一个独特的生态系统，通过数据分析和人工智能的镜头学习设计转型。IRES的学生将与新加坡国际一流大学的研究人员共同参与一个研究项目，并形成一个全球学者网络，对科学和技术界产生重大影响，并通过出版物、会议演讲和发布的开放源码来传播成果。美国/新加坡教师导师将在AIHD-新加坡IRES网站为期六周的实习之前、期间和之后组织一系列文化和专业活动，以丰富学生的体验。该项目将建立一个国际网络，致力于在人工智能和人类设计师合作方面教育和指导美国本科生。这一国际合作预计将促进学生在数据丰富的环境中更深入地理解设计工作流程，在这个环境中，人类设计师受益于人工智能，以提高设计性能。拟议的专业和文化研讨会旨在解决美国AEC行业数据科学人才严重短缺的问题。美国/新加坡大学之间拟议的合作增加了成功创建一个研究社区的可能性，该社区致力于更好地理解人类设计师如何从新兴协作设计平台中的大数据和人工智能技术提供的能力中受益。学生将参与旨在让他们接触新加坡文化和历史的社会文化活动，这些活动为促进国际科学合作提供了背景。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。

Although data analytics and artificial intelligence (AI) have touched almost every aspect of human life, design work processes have not fully benefited from these enormous opportunities. A better understanding of the dynamics of the design process can create long-lasting positive impacts on the architecture/engineering/construction (AEC) industry that has traditionally suffered from chronic productivity problems in the United States. This project will recognize and enable the development of computational and collaboration competencies as essential 21st century skills for the workplace. Emergent applications of AI in the design and construction workplaces make it vital for planning to train computationally fluent AEC professionals for the future workforce. As technology becomes more embedded into AEC systems, we expect that the criticality of computational fluency will rise. This research will provide an unprecedented opportunity for U.S. students to participate in the transformative rethinking of the design development process. It also sets the ground for training them for a promising, multidisciplinary career in design management, productivity assessment, AI, and design computing, while promoting intellectual cross pollination among these fields.The proposed IRES AIHD-Singapore project will provide a unique ecosystem for U.S. students to study design transformation through the lens of data analytics and AI. IRES students will take ownership of a research project with researchers in internationally top-ranked universities in Singapore and form a global network of scholars to make substantial impacts on scientific and technical communities, and disseminate results via publications, conference presentations, and released open-source code. The U.S./Singapore faculty mentors will organize a set of cultural and professional activities before, during, and after the six-week internship at the AIHD-Singapore IRES site to enrich the students’ experience. This project will establish an international network dedicated to educating and mentoring U.S. undergraduate students in AI and human designer collaboration. The international collaboration is expected to promote students’ deeper understanding of design workflow in a data-rich environment where human designers benefit from AI to enhance design performance. The proposed professional and cultural workshops aim to address the critical shortage of data science talent in the U.S. AEC industry. The proposed collaboration among U.S./Singapore universities enhances the likelihood of the successful creation of a research community dedicated to developing a better understanding of how human designers can benefit from capabilities offered by big data and AI technologies in emerging collaborative design platforms. Students will engage in socio-cultural activities designed to expose them to Singaporean culture and history that provide context for fostering international scientific collaboration.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.