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Mid-scale RI-1 (M1:IP): EduceLab: Infrastructure for Next-Generation Heritage Science

中型 RI-1 (M1:IP)：EduceLab：下一代遗产科学基础设施

基本信息

批准号：
2131940
负责人：
William Seales
金额：
$ 1400万
依托单位：
University of Kentucky Research Foundation
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-01 至 2026-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2131940&HistoricalAwards=false
关键词：
Mid scale RI M1 IP

项目摘要

This project will create EduceLab, a data-centric instrument platform for Heritage Science (HS). HS applies the tools, techniques, and rigor of scientific measurement and inquiry to diverse heritage contexts, such as artifacts and curated collections, biological remains, and human-impacted environments. The proposed mid-scale instrument ecosystem is designed around key scientific capabilities that the research community has embraced as crucial and fundamental to addressing the challenging variability of HS contexts. The ecosystem includes materials characterization; advanced multimodal imaging (tomography, photography, photogrammetry); cyberinfrastructure and methodologies for capturing, structuring, and processing large-scale data sets; and mobile and flexibly-deployed instrumentation for in-situ data acquisition and initial evaluations. Viewed as a holistic ecosystem uniquely capable of addressing previously insoluble research questions in HS, EduceLab will be commissioned as operational clusters based on usage patterns that match the diverse HS communities and constituencies: laboratory equipment in a fixed, controlled environment for precise measurement and analysis (BENCH); mobile equipment that can be deployed on-site for collections and landscapes that cannot travel (MOBILE); and a protean environment for envisioning, building, and testing custom instrument configurations that address contexts impervious to laboratory analysis and on-site capabilities (FLEX). The clusters will be interconnected via cyberinfrastructure (CYBER) that powers efficient data flow through the entire infrastructure, from data acquisition to structured analysis, supporting the application of new techniques in data science and artificial intelligence. EduceLab will function as a novel Mid-scale Research Infrastructure – a variable scientific lens – for the rigorous, data-driven exploration of compelling heritage science research questions, engendering new discoveries as well as fundamental scientific advancement. Headquartered within the University of Kentucky’s William S. Webb Museum for Anthropology, EduceLab will build cohesion across a diverse group of national and international stakeholders and constituents: trainees/students; researchers in HS and in areas where data acquisition activities overlap; practitioners at institutions with active heritage collections and connected research efforts; and community members with investments in the ongoing conservation, preservation, study, dissemination, and educational activities.EduceLab in its organization will allow rigorous scientific exploration in the face of the unique challenges posed by natural and cultural heritage contexts. The EduceLab ecosystem will answer ongoing demands for agility and innovation in measurement, computational, and instrumentation solutions to these problems. Such advances will in turn continuously promote knowledge, growth, and innovation across a range of scientific disciplines involved in HS, including data science, computer science, computer vision, imaging science, systems engineering, chemical and materials engineering, anthropology, and cyberinfrastructure. The proposed instrumentation strongly aligns with the National Science Foundation’s “Big Ideas” initiatives, including: Growing Convergence Research (EduceLab and HS is a convergence activity in itself, blending a number of scientific disciplines and relying on robust collaborations for success); Harnessing the Data Revolution (EduceLab activities will be data-driven and data-intensive, relying on emerging computational tools at play across disciplines like chemistry, physics, and computer science to capture the essence of objects and their environments); and NSF INCLUDES (the EduceLab ecosystem combines STEM with heritage fields in a culturally informed way to strategically grow the interest and participation of underrepresented groups in STEM fields and increase societal public literacy and engagement with science and technology.).This project is jointly funded by Mid-Scale Research Infrastructure-Track 1 program, Information and Intelligent Systems, the Established Program to Stimulate Competitive Research (EPSCoR), and the Office of Advanced Cyberinfrastructure.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.

该项目将创建EduceLab，这是一个以数据为中心的传统科学（HS）仪器平台。HS将科学测量和调查的工具，技术和严谨性应用于不同的遗产背景，例如文物和策展收藏，生物遗迹和人类影响的环境。拟议的中型仪器生态系统是围绕研究界认为对解决协调制度背景的挑战性变化至关重要和根本的关键科学能力设计的。该生态系统包括材料表征;先进的多模态成像（断层扫描，摄影，摄影测量）;用于捕获，结构化和处理大规模数据集的网络基础设施和方法;以及用于现场数据采集和初步评估的移动的和灵活部署的仪器。EduceLab被视为一个能够解决HS中以前无法解决的研究问题的独特的整体生态系统，将根据与不同HS社区和选区相匹配的使用模式委托作为操作集群：固定，受控环境中的实验室设备，用于精确测量和分析（BENCH）;可以现场部署的移动的设备，用于收集和景观，不能旅行（MOBILE）;以及用于设想、构建和测试定制仪器配置的多变环境，这些配置可解决不受实验室分析和现场能力（FLEX）影响的环境。这些集群将通过网络基础设施（CYBER）相互连接，从数据采集到结构化分析，通过整个基础设施实现高效的数据流，支持数据科学和人工智能新技术的应用。EduceLab将作为一个新的中型研究基础设施-一个可变的科学透镜-用于对引人注目的遗产科学研究问题进行严格的，数据驱动的探索，产生新的发现以及基本的科学进步。总部设在肯塔基州大学的威廉S。韦布人类学博物馆，教育实验室将在国家和国际利益攸关方和成分的不同群体中建立凝聚力：学员/学生; HS和数据采集活动重叠领域的研究人员;具有积极遗产收藏和相关研究工作的机构的从业人员;和社区成员投资于正在进行的保护，保存，研究，传播，教育实验室在其组织中将允许面对自然和文化遗产背景所带来的独特挑战进行严格的科学探索。EduceLab生态系统将满足对这些问题的测量，计算和仪器解决方案的敏捷性和创新的持续需求。这些进步反过来又将不断促进HS所涉及的一系列科学学科的知识，增长和创新，包括数据科学，计算机科学，计算机视觉，成像科学，系统工程，化学和材料工程，人类学和网络基础设施。拟议的仪器与美国国家科学基金会的“大思想”倡议非常一致，包括：（EduceLab和HS本身就是一项融合活动，融合了许多科学学科，并依靠强大的合作取得成功）;驾驭数据革命（教育实验室的活动将是数据驱动和数据密集型的，依赖于新兴的计算工具，如化学，物理，NSF INCLUDES（教育实验室生态系统以文化知情的方式将STEM与遗产领域相结合，以战略性地提高STEM领域代表性不足的群体的兴趣和参与，并提高社会公众素养和对科学和技术的参与。该项目由中型研究结构-轨道1计划、信息和智能系统、刺激竞争研究的既定计划（EPSCoR）和高级网络基础设施办公室共同资助。该奖项反映了NSF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。