Conference: Workshop to Build a Vision and Strategy for Creating a National Network of Academic Cloud and Self-Driving Labs

为创建全国学术云和自动驾驶实验室网络构建愿景和战略研讨会将支持一个全国性的研讨会，重点是通过自动驾驶实验室（sdl）、云实验室和自动化科学提供的创新来加速科学。研讨会将汇集学者、行业代表和政府合作伙伴，了解云实验室和sdl的最新技术，并为国家资源网络制定路线图。投资这些技术可以帮助美国保持其在科学创新方面的国际领导地位，并可以促进创新和发现的良性循环。一个由云实验室和sdl组成的国家网络可以使先进科学设备的使用民主化，增强可重复性，加速基础研究向商业化的转化，并促进开放科学原则。研讨会将汇集来自R1研究型大学、社区学院、基金会代表、政府和行业领袖等多种类型大学的学者，共同探讨一系列广泛的问题。研讨会将招募具有不同背景和经验的参与者，包括来自HBCU和MSI的教师/研究人员，以及早期和晚期职业教师，其目标是为从一开始就具有包容性的国家网络构建路线图。讨论将集中在从试错研究到由人工智能（AI）和机器学习（ML）驱动的自动化研究工作流程的过渡。研讨会将探索科学进步中的计算集成，通过使用自动化研究工作流程在数据生成反馈回路中不断改进模型，实现科学发现的新模型。正在追求的愿景是实验自动化和利用AI/ML方法微调模型，以便更快地理解复杂现象，并指导未来的实验朝着快速改进和发现的方向发展。研讨会将解决在此过程中可能遇到的挑战，包括对仪器先进创新的需求、主动学习的结合、促进合作以及使教育和培训适应此类远程实验室的使用。研讨会包括全体会议、分组讨论以及由来自学术界、工业界和国家科学基础设施网络的专家领导的讨论。研讨会的成果将为国家自动驾驶学术实验室网络的发展路线图提供信息。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The Workshop to Build a Vision and Strategy for Creating a National Network of Academic Cloud and Self-Driving Labs will support a national-scale workshop focused on accelerating science through innovations provided by self-driving labs (SDLs), cloud labs, and automated science. The workshop will bring together academics, industry representatives, and government partners to understand the state-of-the-art in cloud labs and SDLs, and develop a roadmap for a national network of resources. Investing in these technologies can help the US retain its international leadership in scientific innovation, and can foster a virtuous cycle of innovation and discovery. A national network of cloud labs and SDLs can democratize access to advanced scientific equipment, enhance reproducibility, accelerate the translation of basic research into commercialization, and promote open science principles.The workshop will bring together a mixture of academics from multiple types of universities, from R1 research universities through community colleges, representatives from foundations, and government and industry leaders to explore the broad set of issues. Participants with diverse backgrounds and experience will be recruited for the workshop, including faculty/researchers from HBCU’s and MSI’s, as well as early and late career faculty, with the goal of building a roadmap for a national network that is inclusive from the very beginning.Discussions will focus on the transition from trial-and-error research to automated research workflows driven by artificial intelligence (AI) and machine learning (ML). The workshop will explore integration of computing in scientific advancements to enable a new model of scientific discovery through continuous refinement of models within the data generation feedback loop using automated research workflows. The vision being pursued is the automation of experiments and utilization of AI/ML methods to fine-tune models in order to much more quickly understand complex phenomena and guide future experiments towards rapid refinement and discovery. The workshop will address challenges that one may encounter in the process including the need for advanced innovations in instrumentation, incorporation of active learning, fostering collaborations, and adapting education and training to the use of such remote laboratories. The workshop includes plenary sessions, breakout tracks, and discussions led by experts from academia, industry, and national scientific infrastructure networks. The outcome of the workshop will inform the roadmap for the development of a national network of academic self-driving labs.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.