Abstract: Anthropomorphic robot features are intended to trigger the activation of social scripts from human-human interaction, thereby offering an intuitive approach to interact with robots. Whereas this seems to be a valid design option for the social domain leading to an increased acceptance of robots, trust and willingness to interact, other domains of human-robot interaction
The Berlin Summit on Robotics is a three-days event funded by SCIoI that brings together leading researchers in robotics and related areas to discuss and tackle strategic challenges in robotics research. While conferences and other professional meetings are hectic and dominated by conversations about technical details, the Berlin Summit aims to create an atmosphere in
This Thursday 15 September (2-5pm) is SCIoI’s Open Day! On this day, SCIoI offers visitors the chance to catch a glimpse of our cluster, its activities, and open positions. During our Open Day, prospective applicants as well as other interested persons can visit the cluster, have a (virtual or physical) look around the spaces and
Abstract: Collective dynamics play a crucial role in everyday decision-making. Whether social influence promotes the spread of accurate information, and ultimately results in collective intelligence, or leads to false information cascades and maladaptive social contagion depends on the cognitive mechanisms underlying social interactions. In our talk, we will argue that cognitive modeling, in tandem with
Abstract The collective behaviour of animals has attracted considerable attention in recent years, with many studies exploring how local interactions between individuals can give rise to global group properties. The functional aspects of collective behaviour are less well studied, especially in the field and relatively few studies have investigated the adaptive benefits of collective behaviour
Abstract: I will present our current research involving the Robofish. I will put a special focus on our latest research paper that found live fish to be able to anticipate predictably behaving Robofish both in regard to final movement locations as well as movement dynamics. This talk will take place in person at SCIoI
A serie of lectures, workshops and a panel discussion about themes related to Mental health in academia, from opinions of under-represented groups, to power abuse, healthy working conditions, and much more. More info here Photo taken from Scholar Mind webiste The Zoom Link will be sent the day before the lecture.
From writing essays to evaluating potential hires, machines are doing a lot these days. In all spheres of life, it seems that machines are being delegated more and more decisions. Some of these machines are being delegated decisions that could have significant impact on human lives. Examples of such machines which have caused such impact
In this lively debate, our researchers Dafna Burema, Mattis Jacobs and Jonas Frenkel from Science of Intelligence will talk about Artificial Intelligence and its ethical implications including examples of AI gone wrong. How do we imagine sustainable futures with robots? What are the open questions scientists face every day when dealing with Artificial Intelligence? Visit
Nature is a great designer. Through billions of years of evolution – of design trial and error (or re-route) – it has come up with uniquely functional and beautiful materials. It uses simple materials in clever ways. Natural materials are often sophisticated in structure and function, yet they are made from simple, abundant resources. More
More details to follow. Photo by DeepMind on Unsplash This talk will take place in person at SCIoI.
At our cluster science slam, scientists try everything to entertain their audience, regardless of whether the subject is e.g. mathematics, neuroscience or active material. The sky is the limit when it comes to what’s possible. Costumes, props, movies, power-point presentations or other experimental setups – it is all allowed. Only time sets the limits –
Marchstr. 23 – MAR 5-2
10587 Berlin
Email: info@scioi.de
Tel: +49 30 314 70660
