Deep Science Futures: An entry-level workshop for producing a better tomorrow with artificial intelligence

Deep Science Futures07.06.2024 09:00 - 16:30 (Fri)AI Campus Berlin, Max-Urich-Straße 3, 13355 BerlinZebhauser, Jonathan

Before booking a workshop, please make sure that you can attend for the entire duration.



For doctoral researchers and postdocs of all disciplines. No prior knowledge and experience on programming, Artificial Intelligence technologies, statistics or innovation needed. This is not a coding workshop, but aims to provide you with a good understanding of when to apply AI.



Content and Outcomes:
  •  Assess the potentials of Artificial Intelligence technologies, including deep learning, for different use cases
  •  Develop ideas for AI applications that have a positive impact on our society
  •  Discuss opportunities and risks of AI for real world challenges
  •  Design your AI-based prototype, without or with coding (your choice)


Why and how?

Artificial Intelligence will shape human life and work in our century profoundly. Together, we will explore how AI can be brought to good use for society and individuals. We provide entry-level methods for assessing use cases for AI and walk with you through your first “no code” prototype or paper sketch. Join us in shaping and reflecting this new wave of AI-based innovations.
To frame our joint undertaking, we use the Sustainable Development Goals (SDGs) proposed by the UN. The SDGs include all sort of fields such as education, industrial or economic contexts, societal inequalities, sustainability, peace or climate, to name only some.



1) Do we need AI – or how does AI solve my problems?

What is AI and ML? What problems can AI effectively solve? What is the current impact of AI technology on economy, society and ecology? How can you apply AI to your domain or a given problem?

2) AI needs you – or why AI applications rely on your domain knowledge? 

Why do AI applications rely on knowledge and skills that you have? 

3) Creating your first AI-based application: 

Use methods from design thinking to frame your idea for an AI-based application and work step-by-step towards your first AI-based prototype. We use a no-code tool (but you can use code as well if you like).


Further Information

Preparation: Please bring a problem you want to work on. You may use the SDGs as a guiding frame. If you do not identify a specific idea for application beforehand, we will guide you through the necessary steps. Both individuals and teams are welcome.

Why you: This course is tailor-made for doctoral researchers and postdocs who have gathered domain expertise, whether it is from the life sciences, geography, humanities, or social sciences. You conceptualize concrete applications for AI. We will provide guidance and tools to quickly delve into applications for this “new” technology. Together, we will discover ideas and concepts for an AI-based solutions to a real-world problem that aims to make a difference.

Continuing Support: We help you all the way – even after our workshop: For individuals or teams who seek to take further steps to realize their ideas, we support you in finding collaboration opportunities with the Künstliche Intelligenz Entrepreneurship Zentrum (K.I.E.Z.) and Profund Innovation, who can help you to get the funding and expertise necessary for realizing such an idea, such as the Bridge to Market Program.

The course is a joint offer of Digital Entrepreneurship Hub, Freie Universität Berlin and K.I.E.Z



Course Format: 
in person
Course Capacity: 
Course Language: 
Work Units: 
Budget Points: 
Jonathan Zebhauser