Teaching intelligence: SCIoI early-career researchers exploring new formats

At  Science of Intelligence (SCIoI), the question of what intelligence is — natural or artificial, individual, social or collective — is pursued across disciplines, from robotics to psychology to philosophy. From Summer Semester 2024 to Summer Semester 2025, that exploration expanded beyond the laboratory and into the lecture hall, made possible through funding from the Berlin Senate. With the Senate’s support, nine doctoral researchers at SCIoI designed and led their own Master’s-level university courses, teaching projects that were as inventive and interdisciplinary as the cluster itself.

The initiative was part of a broader goal of the Senate: to strengthen the teaching landscape in Berlin. This meant experimenting with new formats of education that could integrate international speakers into local teaching and also lay further groundwork for cross-university, cross-disciplinary SCIoI master tracks, spanning computer science, psychology, and biology and expanding the bridge between Humboldt-Universität zu Berlin and Technische Universität Berlin.

Normally, teaching is not part of the formal mandate of a DFG-funded excellence cluster. The Senate’s funding changed that, giving master students direct access to the research culture of SCIoI and giving early-career researchers the chance to step into the role of educators. It was an experiment in science communication, in pedagogy, and in translating cutting-edge research into formats students could both grasp and shape.

A competitive call for ideas

The program began with an open call: SCIoI doctoral researchers were invited to propose their own courses, integrating insights from the cluster into the university curriculum. Proposals were reviewed by SCIoI PI’s across disciplines, discussed by the cluster’s executive board, and selected for funding. Each teaching fellow received up to a year of support, the option to hire a student assistant, and the freedom to bring in international experts. All courses were hosted under the umbrella of TU Berlin professors, open to students across Berlin’s universities.

The result was nine courses, designed and led by ten early-career researchers from SCIoI. Together, they covered topics ranging from robot learning to embodied intelligence, from collective behavior to science communication.

Bringing the world into the lecture hall

A hallmark of nearly all the courses was the participation of international experts. These guests met with students, interacted with early-career researchers, and exchanged ideas with other cluster members, a new form of integrating global expertise directly into Berlin’s teaching landscape, just as the Senate had envisioned, and aligning with the kind of cross-disciplinary exchange that defines SCIoI.

The invited talks were carefully curated to align with the overarching theme of SCIoI’s intelligence research. Many of them were recorded and are now available on SCIoI’s YouTube channel, a curated collection of talks that provide an open resource on intelligence research that travels far beyond the seminar.

 

The courses

Mind, Body, Environment: An Interactive Seminar on Embodied Intelligence

Organizer: Aravind Battaje
Supervising PI: Oliver Brock
Course duration: Summer Semester 2025

This course examined intelligence as something embodied and situated in the world. Through interactive sessions and guest lectures, students engaged with the latest thinking on embodied cognition and its implications for robotics and AI.

Click for full playlist of guest speaker talks on youtube

Introduction to Modeling Collective Behavior

Organizer: David Mezey
Supervising PIs: Guillermo Gallego, Pawel Romanczuk, Ralf Kurvers
Course duration: Summer Semester 2025

From flocking birds to swarm robotics, students studied collective behavior through lectures, a programming workshop, an ethics panel, and a lab tour. The seminar provided a comprehensive entry point into one of SCIoI’s core research areas.

Click for full playlist of guest speaker talks on youtube

Active Sensing

Organizer: Olga Shurygina
Supervising PI: Martin Rolfs
Course duration: Summer Semester 2025

Exploring vision, touch, and audition, this seminar juxtaposed biological and synthetic perspectives. Students read and presented key papers, then discussed them with paired guest experts from neuroscience and robotics.

Click for full playlist of guest speaker talks on youtube

Introduction to Collective Robotics: Where Complexity Meets Robotics

Organizer: Mohsen Raoufi
Supervising PIs: Jörg Raisch, Pawel Romanczuk, Heiko Hamann
Course duration: Winter Semester 2024/2025

Students encountered collective robotics as both an engineering challenge and a societal question. Alongside technical topics like scalability and adaptability, the course highlighted ethical issues in robotics and included distinguished speakers from research and industry.

Click for full playlist of guest speaker talks on youtube

Dynamic Vision: Tracking Methods in Computer Vision

Organizer: Friedhelm Hamann
Supervising PI: Guillermo Gallego
Course duration: Winter Semester 2024/2025

This seminar introduced tracking and motion estimation in computer vision, covering optical flow, feature tracking, and single- and multi-object tracking. Students gained both theoretical foundations and exposure to recent advances. The course emphasized the intersection of deep learning with motion estimation and tracking, highlighting key challenges and applications.

Click for video on event-based tracking on youtube

Selected Topics in Robot Learning

Organizer: Svetlana Levit
Supervising PI: Marc Toussaint
Course duration: Winter Semester 2024/2025

Students engaged with the latest developments in robot learning, reading and presenting scientific papers, discussing them with peers, and meeting international experts. The course combined active learning with exposure to state-of-the-art research.

Click for full playlist of guest speaker talks on youtube

Artificial Social Intelligence

Organizer: Jonas Frenkel
Supervising PI: Henning Sprekeler
Course duration: Winter Semester 2024/2025

This seminar investigated how humans understand each other — and how machines might learn to do the same. Topics included social perception, theory of mind, and interaction, enriched by guest lectures and discussion of the ethical implications of building socially intelligent systems.

Click for full playlist of guest speaker talks on youtube

Communicating Hot Topics in Intelligence Research

Organizers: Nicolas Roth and Benjamin Lang
Supervising PI: Klaus Obermayer
Course duration: Summer Semester 2024

Students explored science communication by creating a podcast series. They interviewed international experts alongside cluster researchers, wrote scripts, and recorded episodes released on public platforms. The course combined cutting-edge research content with hands-on training in outreach.

Click for full playlist of guest speaker talks on youtube

Quantitative Approaches to Behavior

Organizer: Mark Boon
Supervising PI: Henning Sprekeler
Course duration: Summer Semester 2024

With changing content each semester, this course bridged neuroscience, psychology, robotics, and machine learning. Students learned methods to analyze behavior across natural and artificial systems, sharpening both technical and interdisciplinary perspectives.

Click for full playlist of guest speaker talks on youtube

A two-way learning process

For the doctoral researchers, the courses became testing grounds: places to try out new ways of moderating discussions, to figure out how to structure a seminar from scratch, and to discover what it means to translate research into teaching. All of them developed their skills that no dissertation alone can teach.

For the master students, the experience was equally unusual. They interviewed leading scientists, wrestled with coding models of collective behavior, or weighed the ethical stakes of robotics. The result was a glimpse of research in motion, with all its complexity, uncertainty, and excitement.

The bigger picture

For SCIoI, the program was a chance to showcase the cluster’s interdisciplinary strength, to connect with master students who may become the next generation of researchers, and to expand its visibility beyond research alone. For the Senate, it demonstrated how targeted funding can open new paths for teaching: blending research with education, linking universities, and testing models for future interdisciplinary master tracks.

Its impact has been clear: new courses, new skills, new networks, and a richer connection between research and teaching. For the master students who took part, it was an introduction to intelligence research at the frontiers. For the early-career researchers, it was training in what it means not only to study intelligence, but to teach it.


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