Collaborative Research: Examining Training Environments and Career Outcomes of Interdisciplinary STEM PhD Students

合作研究：检查跨学科 STEM 博士生的培训环境和职业成果

• 批准号: 2100235
• 负责人: Stasa Milojevic
• 金额: $ 54.65万
• 依托单位: Indiana University
• 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: 2021-06-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2100235&HistoricalAwards=false
• 关键词: Collaborative; Research; Examining; Training; Environments

This collaborative project with Ohio State University as the lead institution and Indiana University and Cornell University as partners examines the career outcomes across employment sectors of interdisciplinary graduate students, the environments in which they are trained, and how those environments relate to career outcomes. The investigators will use and expand an emerging infrastructure of data and measures to conduct a rich, multilevel analysis of individual career paths in the transition from graduate training to the workforce in the context of supply and demand factors that exist throughout a researcher’s career. The investigators will (1) study how the characteristics of interdisciplinary researchers compare to disciplinary researchers and how the structure of the teams and networks in which they train compare, (2) develop a range of novel measures of early career outcomes to study how outcomes relate to training environments of disciplinarians and interdisciplinarians, and (3) study how outcomes vary across disciplines and by market demand. The project will enable young researchers to be better informed about the career outcomes of interdisciplinary researchers and provide actionable information to improve the training environments for these researchers. The project will be implemented using the emerging UMETRICS infrastructure, and the data and metrics that the investigators develop on interdisciplinarity will flow back into the UMETRICS data infrastructure and made accessible for other researchers through the virtual enclave run by the Institute for Research on Innovation and Science at the University of Michigan. The research will include three tasks. Task 1: Develop rich multi-faceted measures to identify interdisciplinarity among STEM doctoral students and researchers. A wide range of integrated data resources will be used to operationalize “interdisciplinarity”. Investigators will generate field-based measures, citation-based measures, field transition measures, and text-based measures that will be cross-validated to trace the interdisciplinarity of research trajectories post graduation. Task 2: Describe the environments in which interdisciplinary graduate students train. Investigators will describe a range of dimensions of training environments and how they relate to interdisciplinary research, including advisors, teams, team size and composition, team diversity, and funding mechanism. Task 3: Estimate a wide range of career outcomes for interdisciplinary PhD recipients and the role of supply and demand in shaping outcomes. Data will examine whether interdisciplinary research is mostly induced by discoveries in new fields that open new avenues of research or whether the need for interdisciplinary research induces these discoveries. The project will expand an evolving data infrastructure for investigating STEM workforce development. The project is supported by the EHR Core Research program that funds fundamental research focused on STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development.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.

这项与俄亥俄州立大学的合作项目是主要机构，印第安纳大学和康奈尔大学的合作伙伴，探讨了跨学科研究生员工领域的职业成果，培训的环境以及这些环境与职业成果的关系。调查人员将在研究人员职业生涯中，在供求因素的背景下，在从研究生培训到劳动力的过渡中，对数据和措施的新兴基础架构进行了丰富的多层次分析。研究人员将（1）研究跨学科研究人员的特征如何与学科研究人员进行比较，以及如何进行训练的团队和网络的结构如何进行比较，（2）开发了一系列新的早期职业成果衡量标准，以研究与培训环境与培训环境有关的培训环境和跨学科的人和跨学科的人的培训环境，以及（3）跨越跨越跨越的范围跨越跨越跨越的范围。该项目将使年轻的研究人员能够更好地了解跨学科研究人员的职业成果，并提供可行的信息，以改善这些研究人员的培训环境。该项目将使用新兴的UMETRIC基础架构实施，调查人员在跨学科性方面开发的数据和指标将回到UMETRICS数据基础设施中，并通过密歇根大学的创新和科学研究所通过研究所进行的虚拟飞机访问其他研究人员。该研究将包括三个任务。任务1：制定丰富的多方面措施，以确定STEM博士生和研究人员之间的跨学科性。广泛的集成数据资源将用于操作“跨学科”。研究人员将生成基于现场的措施，基于引用的措施，现场过渡措施和基于文本的措施，这些措施将进行交叉验证，以追踪跨学科的学生的火车。调查人员将描述培训环境的一系列维度及其与跨学科研究的关系，包括顾问，团队，团队规模和组成，团队多样性和资金机制。任务3：估算跨学科博士接受者的广泛职业成果以及供求在塑造结果中的作用。数据将检查跨学科研究是否主要是由开放新研究途径的新领域的发现引起的，或者对跨学科研究的需求是否引起了这些发现。该项目将扩大用于调查STEM劳动力发展的进化数据基础架构。该项目得到了EHR核心研究计划的支持，该计划资助了针对STEM学习和学习环境，扩大STEM劳动力发展的基础研究，并为STEM Workforce开发提供了资金。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来获得的支持。