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。Cyberinfrastructure Leadership Academy（CILA）汇集了资深和新兴的CI领导者，提供宝贵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建立在以前的CILA研讨会的成功，特别侧重于团队科学的CI领导，特别是重大挑战项目，如NSF的10大想法。该研讨会的目标是（1）准备职业生涯中期新兴CI领导人承担国家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领导人。支持一个多元化的中期职业领导者群体将加强职业发展和网络机会，旨在减少自然减员和扩大未来CI高级领导的管道。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，即高级CI领导者的发展。鉴于长期任职的国家传播和信息领导人即将退休，没有明确的继任者库或代表性不足的人才的继任途径，这次讲习班特别及时。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，不仅要监督研究CI的设计，开发，实施和促进，而且还要在本地和全国范围内塑造研究CI生态系统和议程。在这种专业知识流失中生存的关键是在无法挽回地失去之前尽可能多地捕捉这些专业知识。为此，一个有价值的机制是在高级CI领导者和新兴的职业中期CI领导者之间建立指导关系，因为这些关系不仅能够传递知识，经验和智慧，而且还将巩固新兴CI领导者的能力，即使在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）会议共同举办这次研讨会，参与的新兴CI领导人将有更多的机会进行同行指导，因为CASC是机构CI领导人事实上的专业协会。CASC已承诺接受所有CILA研讨会的参与者谁是非CASC成员作为嘉宾参加相关的CASC会议，在没有登记费。该研讨会补助金涵盖了一批人参加研讨会和相关CASC会议的差旅费。CASC提供了机会，以维持这些活动，并扩大其影响。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的知识价值和更广泛的影响审查标准的支持。

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.