Source: DALL·E
Geo.X Young AI Academy - Generative AI for Earth System and Planetary Science
From ad-hoc AI use to a research-aligned AI practice
The Geo.X Young AI Academy – Generative AI for Earth System and Planetary Science is a 10-month programme for doctoral and postdoctoral researchers in Earth System and Planetary Science. We support you in moving from ad hoc generative AI use to an individual, structured integration in your scientific workflows, grounded in critical evaluation, ethics, and responsible practice.
Stay tuned for more updates
Quick facts: Our first cohort started April 27 with Module I | twenty fellows from seven Geo. X institutions
Timeline Cohort I - Module I
Course title and content are subject to change, given the dynamic development of the AI world
Kick-off Course Geo.X Young AI Academy, April 27th
One-day in-person meeting, Berlin (near S-Bahn Charlottenburg)
Content: Introducing the Academy and AI fluency, AI Integration in the scientific workflows, AI capabilites, limits, and ethical and legal guidelines.
This workshop will set the starting point to your individual AI integration, with a focus on strategic decisions about AI use and responsibility, transparency, and accountability considerations.
Community Check-in I
1 h online peer-exchange session including use cases, new tools, reflection, and progress discussion.
Course: How to talk to generative AI & custom assistants
One-day in-person meeting
Content: Effective communication with GAI from ad-hoc use to custom assistants
This workshop builds on AI use cases identified during the first course and in the interim period, with a focus on hands-on tasks to enhance prompt engineering skills and knowledge base creation.
Community Check-in II
1 h online peer-exchange session
Community Check-ins III
1 h online peer-exchange session
Course: Scientific AI Routines & planning Module 2
One-day in-person meeting
Content: Target image of GAI use in scientific: Automation, Augmentation or Agency, enhanced AI routines, module 2.
In this workshop, we will discuss and reflect on the work completed so far, define new goals, and collaboratively plan Module 2.
Community Check-in IV
1 h online peer-exchange session
Community Check-in V
1 h online peer-exchange session
Community Check-in VI
1 h online peer-exchange session
Course: Automation & AI Agents
One-day in-person meeting, CIC Berlin
Content: AI agents and agentic workflows
In this workshop, we will learn how to build AI agents, with a focus on implementing the first routines and tasks.
Community Check-in VII
1 h online peer-exchange session
Community Check-in VIII
1 h online peer-exchange session
Community Check-in IX
1 h online peer-exchange session
Community Check-in X
1 h online peer-exchange session