Your training network to bridge Earth System and Data Science

Program details
The main objective of the two-year Academy program is to foster networking, training, and collaborative research of doctoral and postdoctoral researchers bridging Earth System and Data Science. Our program deviates from traditional graduate school curricula in two ways: First, we focus on peer-mentoring rather than teacher-based learning. Secondly, we provide a core event structure (three per year), of which the  content will be determined by the fellows in an agile bottom-up process. This way, we ensure that the events match the fellows’ training needs. In addition to the core events, fellows will have the opportunity to organize and host additional workshops, meetings, and other events - with our support. We also explicitly focus on linking fellows to existing training opportunities that are needed or helpful. Furthermore, we ensure  strong integration and linkage to other relevant NFDI4Earth developments.

Anticipated Academy program

Below, we describe the anticipated Academy program elements (in-person, hybrid, or virtual). However, given the agile bottom-up structure of the Academy, changes may occur.

Core events (Year 1)
The first year of the Academy will focus on research data management and Data Science skills and starts with a two-day Kick-off retreat (in-person, depending on the pandemic situation). During this retreat, fellows will get to know each other, their research projects, and their interests in Data Sciences. Further, together with the coordinators, they will develop a code of conduct and a roadmap for the Academy to create a motivational and inspiring working environment. In the span of two months during winter, there will be a bi-weekly virtual workshop series focusing on research data management, reproducibility, and Open Science. The workshops will be designed to be engaging with fruitful discussion and active participation, during which fellows describe their current practices and a pathway forward. For training in Data Science, we will host up to three in-person/hybrid spring or summer schools. The fellows determine the thematic focus of the events to fulfill their specific learning and training opportunities.

Core events (Year 2)
In the second year, the core program focuses on collaborative and networking events. We will host “Think tank” events designed to brainstorm and develop synergies between fellows projects, potential collaborations, and new ideas. During Hackathons (up to three in year 2) fellows can work on new ideas and/or their own projects, depending on the fellows preferences. For these events, early career scientists from other NFDI consortia, such as NFDI4Biodiversity or KonsortSWD, will be invited to join and explore cross-link topics.   The final core event will be a joint Hackweek) of the 1st and 2nd cohort to ensure knowledge transfer between both. By combining elements of schools and Hackathons, these meetings foster community building, education in data science methods, and immersion in collaborative project work.

Additional events & possibilities
Throughout the program,  fellows can join short (half or full day) informal meetings every three to four months to present and discuss their project progress with peers. Further, all fellows are invited to join NFDI4Earth events, such as plenary meetings, to present their research and be up-to-date on the developments of the NFDI4Earth.Furthermore,  we provide access to a broad range of external training opportunities, such as the Helmholtz Academy for Information and Data Science (HIDA) or DataTrain (Uni Bremen Research Alliance).

Previous events

Academy Summer School 1st Cohort 12th – 14th June 2023. Click here for a short summary.
Academy Cohort Calls 1st Cohort 10th February - 21st April 2023. Click here for a short summary.
Academy Kick-off 1st Cohort 30th - 2nd December 2022 in Buchenau. Click here for a short summary

We use cookies
Some of them are essential for the operation of the site, while others help us to improve this site and to show the Website content of our Twitter account. We have no control over these cookies as they are set by the social media platform themselve.