Conference: Cyberinfrastructure Leadership Academy: Team Science and Grand Challenges

运行良好的国家和机构网络基础设施（CI）对于推进所有科学和工程学科前沿的解决方案至关重要。网络基础设施领导学院（CILA）汇集了资深和新兴的CI领导者，提供有价值的指导和同行指导机会，目标是培养新兴的CI领导者担任国家和机构的CI领导角色。本次研讨会的目标是在之前CILA研讨会的成功基础上，特别关注团队科学的CI领导力，特别是像NSF的10大创意这样的重大挑战项目。本次研讨会的目标是：(1)培养处于职业生涯中期的新兴CI领导者，以承担国家CI领导，特别是团队科学和重大挑战CI领导，以及(2)指导传统上代表性不足的人群和机构的CI领导者。支持多元化的职业中期领导者群体将促进职业发展和社交机会，旨在减少人员流失，拓宽未来CI高级领导的渠道。CILA研讨会解决了科学，技术，工程和数学（STEM）研究CI劳动力管道的关键阶段的关键需求，以及高级CI领导者的发展。鉴于长期的国家CI领导人正在退休，没有明确的继任者，也没有为代表性不足的人才提供继任途径，这次研讨会尤其及时。新兴的计算和数据密集型研究社区在很大程度上依赖于高级CI领导者，他们不仅监督研究CI的设计、开发、实施和促进，而且还塑造研究CI生态系统和议程，无论是在他们自己的机构还是在全国范围内。在这种专业知识流失中幸存下来的关键是在不可挽回地丢失之前尽可能多地获取专业知识。为此，一个有价值的机制是在高级CI领导者和新兴的中期CI领导者之间建立师承关系，因为这些关系不仅可以实现知识、经验和智慧的转移，而且还可以巩固新兴CI领导者的能力，即使在他们退休后，也能继续利用高级CI领导者的专业知识。通过与学术科学计算联盟（CASC）会议共同举办本次研讨会，参与的新兴CI领导者将有更多的机会获得同行指导，因为CASC实际上是机构CI领导者的专业协会。中国科学技术研究院承诺接受所有非中国科学技术研究院会员的中国科学技术研究院研讨会参与者作为中国科学技术研究院相关会议的嘉宾，不收取注册费。本次研修班经费用于支付研修班及相关会议的差旅费。CASC为维持这些活动和扩大其影响提供了机会。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。

Well-run national and institutional cyberinfrastructure (CI) is essential to the advancement of solutions at the frontiers of all science and engineering disciplines. The Cyberinfrastructure Leadership Academy (CILA) brings together senior and emerging CI leaders, to provide valuable mentoring and peer-mentoring opportunities, with the goal of preparing emerging CI leaders to take on national and institutional CI leadership roles. This workshop’s objective is to build on the success of previous CILA workshops, focusing specifically on CI leadership for team science, especially grand challenge projects such as NSF’s 10 Big Ideas. This workshop’s goals are (1) to prepare mid-career emerging CI leaders to take on national CI leadership, particularly team science and grand challenge CI leadership, and (2) to mentor CI leaders from traditionally underrepresented populations and institutions. Support for a diverse group of mid-career leaders will bolster career development and networking opportunities aimed at reducing attrition and broadening the pipeline of future CI senior leadership.The CILA workshop addresses key needs for a critical stage in the Science, Technology, Engineering and Mathematics (STEM) research CI workforce pipeline, the development of senior CI leaders. This workshop is particularly timely given that longstanding national CI leaders are retiring without a clear pool of successors or pathway of succession for under-represented talent. The burgeoning computing and data-intensive research community depends heavily on senior CI leaders, not only to oversee research CI design, development, implementation, and facilitation, but also to shape the research CI ecosystem and agenda, both locally at their own institutions and especially nationally. Crucial to surviving this expertise drain is capturing as much of that expertise as possible before it is irretrievably lost. A valuable mechanism for this is to establish mentoring relationships between senior CI leaders and emerging mid-career CI leaders, because these relationships not only will enable the transfer of knowledge, experience, and wisdom, but also will solidify the ability of the emerging CI leaders to continue to draw on the expertise of the senior CI leaders even after they retire. By co-locating this workshop with a Coalition for Academic Scientific Computation (CASC) meeting, participating emerging CI leaders will have an expanded opportunity for peer-mentoring, because CASC serves as the de facto professional society for institutional CI leaders. CASC has committed to accept all CILA workshop participants who are non-CASC members as guests for the associated CASC meeting, at no registration charge. This workshop grant covers the travel expenses of a cohort, for both this workshop and the associated CASC meeting. CASC provides opportunities both to sustain these activities and to broaden their impact.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.