Information at the Core of Science, Society and Economy

In all areas of economy and society information plays a central role: We are surrounded by an increasing number of intelligent technical information systems which are equipped with capabilities like interaction, environmental awareness and self-adaptation.

The KIT Center Information · Systems · Technologies  (KCIST) investigates and designs complex adaptive technical systems for a secure and efficient handling of information, based on competences like algorithmics, software engineering, cloud computing and scientific computing, secure communication systems and big data technologies as well as intuitive human-machine interfaces, human centered robotics, industrial robotics and automation. Hence, it bundles interdisciplinary competences across KIT-divisions, in particular from informatics, economics, electrical and mechanical engineering, information technology as well as social science. The major objective of the center is to promote research and innovation as well as technology transfer between KIT and its partners in academia and industry both at a national and an international level.



summer school AiMatKIT - AiMat
CZS Summer School 2024

The Summer School will be held on 9-13 September at KIT. It will cover multiple applications of machine learning in chemistry research, e.g. molecular design and understanding, ML-potentials for atomistic simulations, synthesis predictions, and self-driving labs.

Website & Registration
Professor Toussaint der TU Berlin hält einen Vortrag
KCIST Colloquium: Planning in the Age of Learning - for Robotic Task and Motion Planning

Marc Toussaint, Professor for Intelligent Systems at TU Berlin, gave a talk on "Planning in the Age of Learning -- for Robotic Task and Motion Planning" on Thursday, April 04, 2024 at 14:00 in the Atrium of Building 50.19. His research combines Planning, Optimization, Inference, and Machine Learning (ML) to tackle fundamental problems in Robotics and Physical Reasoning.

Further information
Jugendliche in einem Labor arbeiten an kleinen humanoiden Robotern
BOGY Internships at H²T

Once again there will be BOGY internships at H²T this year, for which we are excited to announce the date:
From April 22 - 26, 2024 the research group of Professor Asfour will offer internships (German: Berufs- und Studienorientierung an Gymnasien) for groups of school students in the field of robotics.
It is a cooperation between the H²T and the KIT Center Information · Systems · Technologies (KCIST).

Further information on how to apply
Dokumente liegen verteilt auf einem Tisch
Call for application:
SICK Science Award 2022/2023

In 2024, KCIST, in cooperation with the KIT-Stiftung, will again award two prizes funded by the Gisela and Erwin Sick Foundation to honor excellent scientific work in 2022 and 2023 in the research field of KCIST.

The deadline for submitting applications is April 14, 2024.

Further information on how to apply
Theme week "Karlsruhe - Robot Capital?"

How do we want to "live together" with robots?

Can robots help us in caring for people?

And what kind of robots do we want?

These questions were the focus of a theme week for citizens, organized by ITAS (Institute for Technology Assessment and Systems Analysis) from November 21 to 25, 2023.


A summary of the workshop results and a presentation of the interactive exhibition can be found on the website under the following link.

Further information
KCIST Colloquium:
Stable adaptation and learning

Professor Jean-Jacques Slotine, Professor of Mechanical Engineering and Information Sciences, and Brain and Cognitive Sciences and Director of the Nonlinear Systems Laboratory at MIT, gave a talk on "Stable adaptation and learning" on Monday, Decembre 04, 2023 at 15:45 (Bldg. 50.20, Room 148). Research in Professor Slotine’s laboratory focuses on developing rigorous but practical tools for nonlinear systems analysis and control. These have included key advances and experimental demonstrations in the contexts of sliding control, adaptive nonlinear control, adaptive robotics, machine learning, and contraction analysis of nonlinear dynamical systems.

Further information

No. 01 May 2023 (German, PDF, 888 KB)


(German, PDF, 730 KB)