Open science promises faster innovation increased rigor and accuracy fewer wasted resources and more equitable participation in scientific research by those from underrepresented backgrounds

Despite these benefits a transition to open science practices is impeded by a lack of education in open science tools and principles a lack of good examples to follow and an oversimplification that open science is simply about data sharing. To address these we structure this proposal around three insights. First that open science adoption is primarily an issue of cultural adoption and requires buy-in and participation of many stakeholders from students to investigators to educators. Second to drive cultural change open science must be both formally taught and demonstrated by example through high quality engaging and inspiring materials that are built on open science principles themselves and open for use by many professors for adoption into their classrooms. Third IT is best to meet scientists where they are at and incorporate open science practices into domain-specific content where people are already learning. Based on these insights we will develop a summer school and curricula that merges nasas opencore modules with high quality domain specific education for open science tools data sets and practices. Instead of developing a summer school that is only available while NASA funding is actively supporting IT though we propose a focus on building a community around open science practice. We will develop an open educational program that is built on bidirectional communication between educators and learners and that utilizes hundreds of people contributing short/micro lectures and interactive lesson plans in jupyter books. The program features learning by doing freely usable programming languages live instruction flipped classroom group-based learning and we will deliver IT in several different languages and all online to ensure maximum accessibility equity and adoption. This initiative will be driven by a self-sustainable funding model to ensure that IT provides these benefits continuously and long-term while being constantly updated through its open-source nature. To support this continuous evolution we will continue to meet scientists where and how they communicate by engaging with them at other workshops and conferences. We are not alone in this approach and IT has been demonstrated in other scientific fields such as neuroscience [1 2 3 4]. Through algorithmic networking mechanisms the group classroom format and built-in mentoring on student-lead research projects we believe we can form both the tight and broad ties that students need to be truly integrated into the open science and climate science community while ensuring accessibility for all to the best education available on both climate science and open science topics.