Fall 2023 – Lund

6G – forming a better future

Research related to the 6th Generation Wireless Systems (6G) comprises a wide range of topics. This focus period takes a broad perspective on the possibilities and limitations of technology available and what services and applications can be proivided by a future 6G system. Topics range from communication theory and fundamental limits via practical implementations to novel services and applications.

The goal is to close the gaps between different research disciplines, increase synergy effects and, together, identify the most critical inter/intra-disciplinary research challenges, from a 6G perspective. What are the technical issues we have to address, from that perspective? What are the possible solutions, from a technical perspective?

How should 6G be designed to, in the best way, contribute to solving of the global challenges?

The full focus period spanned October 23 – November 24, 2023.

Fall 2023 – Linköping

Network Dynamics and Control

A central task in Network Science is to understand how to extrapolate emerging collective dynamical behaviors out of a large number of interacting elementary entities. An even more challenging task is to move from a passive observation of the behavior of a network to an active way of controlling its dynamics. Both tasks require a system-level thinking, and can have profound repercussions across the many different domains of science in which networks are of relevance, such as biology, ecology, social sciences, economical sciences, and engineering.

The full focus period spanned September 4 – October 6, 2023.

Fall 2022 – Linköping

Hybrid AI – Where data-driven and model-based methods meet

Data-driven machine learning presents many challenges such as how to deal abstract and causal aspects, how to make learning work with significantly less data like humans can do, and how to achieve robust systems which provides formal guarantees and interpretability. Traditional model- or knowledge-based methods are designed to deal with many of these issues: They deal effectively with generality, abstraction, and causality with strong formal guarantees. A current trend in AI and machine learning today is therefore how to combine these different approaches in a principled and effective way. This is often called Hybrid AI.

The full focus period spanned October 18 – November 18, 2022.

Spring 2022 – Lund

Data-driven modelling and learning for cancer immunotherapy

Checkpoint inhibitor therapy is a form of cancer treatment that works tremendously well in approximately 30 % of subjects, while being largely ineffective in others. Understanding when and why the therapy works has large implications on the treatment of cancer. In spring 2022, the first ELLIIT focus period will look deeper into this challenge.

For 5 weeks, in the prestigious university town Lund, the focus period united young international scholars, ELLIIT researchers and other top international academics active in domains such as:

  • Systems biology
  • Cancer treatment
  • Checkpoint inhibitor therapy
  • Machine learning
  • Dynamical systems
  • Deep learning

During this period, the researchers worked together on jointly defined research topics. In addition to seminars and joint research challenges using unique data sets, a larger workshop with invited top-level scientists provided knowledge exchange and networking opportunities. The aim of the focus period was to forge new, long lasting, collaborations based on life science research that use and drive the development of novel machine learning techniques.

The full focus period spaned April 19 – May 20, 2022.