Summer School on Affordable AI


Welcome/Willkommen (de)/اهلا وسهلا (ar) to the Summer School on Affordable AI (SAAI – سعي), an initiative by the members of the Working Group Innovation in close collaboration with the Working Group Health & Society of the Arab-German Young Academy of Sciences and Humanities (AGYA) to replicate the success of the EEDA Autumn School where academia meets innovation, and global collaboration sparks intellectual excellence. Albarqouni Lab at the University Hospital Bonn, University of Bonn, and Helmholtz AI in Germany offers an enriching educational experience that marries cutting-edge AI advancements with multi-disciplines through lectures, hands-on labs, and real-world challenges led by faculty and skilled tutors.

Register (Closed)

Join us as we embark on this journey between 22nd and 26th July in Bonn, Germany to shape the future of AI, making it accessible and affordable for all. The deadline for regsitartion is 29th May 2024 at 10AM CEST.

SAAI’s Mission

Our mission revolves around three core pillars

  • Innovative Teaching Modules: We are dedicated to crafting teaching course modules that are not only informed by the latest AI developments but also finely tuned to the specific needs and resource limitations of low-income countries in the MENA region. The modules equip participants with essential AI skills to address common challenges in Germany and Arab nations effectively.
  • Knowledge Transfer and Research Excellence: With participation from diverse academic backgrounds, we foster knowledge transfer and collaborative learning among approximately 30 students and graduates, and 12 faculty members from Germany and Arab nations.

Set Your Expectations

Python

Participants will acquire proficiency in Python, a widely used programming language in the field of artificial intelligence and machine learning

Math. & Statistics

Participants will develop a strong foundation in statistics and mathematics, which are essential for understanding and working with AI and machine learning algorithms

Analytical Thinking

The Autumn School will enhance participants’ analytical thinking skills, which are crucial for problem-solving in AI and machine learning

Acknowledgement

The Summer School on Affordable AI SAAI is a project of the AGYA working group Innovation in close collaboration with the AGYA working group Health and Society. The Arab-German Young Academy of Sciences and Humanities (AGYA) is funded by the German Federal Ministry of Education and Research (BMBF) and various Arab and German cooperation partners.

In cooperation with Partners: University of Bonn, University Hospital Bonn, and Helmholtz AI in Germany

About AGYA

The Arab-German Young Academy of Sciences and Humanities (AGYA) is based at the Berlin-Brandenburg Academy of Sciences and Humanities (BBAW) and at the Academy of Scientific Research and Technology (ASRT) in Egypt. It was established in 2013 as the first bilateral young academy worldwide. AGYA promotes research cooperation among outstanding early career researchers (3–10 years post-PhD) from all disciplines who are affiliated with a research institution in Germany or in any Arab country. The academy provides support for the innovative projects of its members in various fields of research as well as in education and science policy. By promoting active engagement of early-career researchers in academia and society. AGYA offers a sustainable research infrastructure to tackle common challenges together. Currently, AGYA has 64 members and an increasing network of alumni from over 100 prominent institutions in 19 countries. They realize joint projects and initiatives in the framework of six interdisciplinary working groups and tandem projects tackling topics such as: Arab and German Education; Common Heritage and Common Challenges; Energy, Water and Environment; Health and Society; Innovation; Transformation. AGYA connects its members with outstanding research institutions in Germany and Arab countries and facilitates collaboration opportunities. Therefore, AGYA members exclusively benefit from access to an academic network of excellence. AGYA is funded by the German Federal Ministry of Education and Research (BMBF) and various Arab cooperation partners.

About Albarqouni Lab

Albarqouni Lab, established in 2020 and located at the Clinic for Diagnostic and Interventional Radiology, University Hospital Bonn, University of Bonn and Helmholtz AI, aims to develop the next generation of AI in Medicine, specifically computational imaging algorithms with a particular focus on artificial intelligence (AI) and machine learning (ML) models to improve the clinical workflow for patients, radiologists, and healthcare professionals. The lab is affiliated with the Munich School for Data Science (MUDS), the Medical Imaging Centre Bonn (MIB), and the European Laboratory for Learning and Intelligent Systems (ELLIS). The research at the Albarqouni Lab focuses on three main areas: computational medical imaging, federated learning in healthcare, and affordable AI and healthcare.