Research Projects
Joint Projects

Our members are involved in a variety of exciting research projects in the field of Minds, Media, Machines. Here we present just a few of the most recent cooperation projects. For more information, please follow the relevant links and visit our members page.

CoAI JRC

The research focus Minds, Media, Machines will be part of the Joint Research Center on Cooperative and Cognition-enabled AI (CoAI JRC) of the science locations Bielefeld, Bremen and Paderborn. Our High Profile Area is central to the Bremen location of the research center.

Speakers: Prof. Dr. Philipp Cimiano, Prof. Dr. Michael Beetz, Prof. Dr. Rohlfing

Fördergeber: Universität Bremen, Universität Bielefeld, Universität Paderborn

MUHAI

Responsible human-centered AI needs a way to deal with meaning. The MUHAI project addresses this fundamental issue.

Coordinator: Prof. Dr. Rainer Malaka
Funding body: EU Horizon 2020 (No. 951846)

IntEL4CoRo

IntEL4CoRo uses the approach of competence-oriented teaching to enable students to apply their knowledge and develop it independently. Thus, students are expected to deal intensively with control systems for robots and physical simulations.

Coordinator: Prof. Dr. Michael Beetz, Dr. Yildray Ogurol

Funding body: BMBF

Research Training Group π³

In the Research Training Group π³, PhD students at the interface between applied mathematics and computer science focus on parameter identification questions, which are essentially formulated as high-dimensional minimization problems for suitable functionals.

Coordinator: Prof. Dr. Peter Maaß

Funding body: DFG (Research Training Group)

EASE

EASE is an interdisciplinary research center at the University of Bremen that investigates everyday activity science and engineering. Its core purpose is to advance our understanding of how human-scale manipulation tasks can be mastered by robotic agents. To achieve this, EASE establishes the research area “Everyday Activity Science and Engineering” and creates a research community that conducts open research, open training, open data, and knowledge sharing.

Speaker: Michael Beetz

Funding body: DFG (SFB)

Empowering Digital Media Graduate School(EDM)

“Empowering Digital Media” (EDM) follows the core idea that technology should serve humans, not the other way around. Projects focus on developing technologies that allow everybody to use computers intuitively. One important topic within this area is interaction, because digital media and services change the way we communicate, cooperate, engage with technology, and learn. A simple and intuitive access is essential for the sensible integration of digital media into work and home environments.

Speaker: Rainer Malaka
Funing body: Klaus Schira Stiftung

KD²school Decision & Design – Designing Adaptive Systems for Economic Decision-Making

The interplay between economic decision making and system design is the focus of the KD²School, as it lays the foundations for transforming static systems into dynamic, adaptive systems.

Speakers: Prof. Dr. Christof Weinhard (KIT), Prof. Dr. Tanja Schultz

Funding body: DFG (Research Training Group)

AI4HRI – Artificial Intelligence for Human-Robot Interaction

The goal of the AI4HRI project is to develop and integrate various AI methods that enable social robots to interact appropriately with humans.

MMM-PI: Prof. Dr. Michael Beetz

Funding body: DFG

LifeSpanAI

The massive influx of health data in combination with recent advancements in artificial intelligence holds great potential to transform the health sciences. In LifeSpanAI, we envision to advance AI methods and tools to model, predict, and explain health outcomes from multi-dimensional data that span the entire life.

Speakers: Prof. Dr. Tanja Schultz , Prof. Marvin N. Wright
Funding body: DFG

©HWK

LabLinking Analytics: Processing and Summarizing Joint Remote-Experiments Data in Everyday Activity Scenarios

Joao Manuel Rodrigues HWK 2022 Junior Fellow

The Cognitive Systems Lab developed LabLinking (LL), an experimental system that enables remote joint experiments without physical limitations. It focuses on motion analysis, applicable in various domains such as arts, industry, and daily activities.

Contact Persons: Felix Putze and Tanja Schultz
Funding body: Hanse-Wissenschaftskolleg (HWK)

Bremen Big Data Challenge

The Bremen Big Data Challenge is the annual data analysis competition of the Cognitive Systems Lab at the University of Bremen. Participants compete throughout March for prize money of 1500 euros and attractive non-cash prizes. A concrete goal for the coming year is to introduce the BBDC to schools in Bremen. With its focus on creative and active learning through tasks and teamwork, the format is ideally suited for high school students, giving them plenty of opportunities to learn about big data and machine learning, without having to go into depth unless they are interested.

Contact person: Tanja Schultz

Sponsors: Just Add AI, Neuland – Büro für Informatik, and Sparkasse Bremen.

MMM Research Funding

MMM regularly supports the joint efforts of its members to expand their network of collaborations within the research area and sustainability in MMM research.

MMM PI-Seed-Grants

The MMM PI Seed Grant is aimed at initiatives that want to conduct collaborative research on Minds, Media, and Machines in the thematic area of "Living Technologies 2.0". The overarching goal of collaborative proposals in this funding line should therefore be related to our ongoing efforts to advance collaborative MMM research in artificial intelligence, robotics, machine learning, data science, human-computer interaction, social media, and mediatization. In keeping with our mission statement, proposals should consider these research areas in the context of key issues related to MMM technologies - such as the benefits and well-being of society, taking into account aspects such as usability, privacy, security, sustainability, and legality, as well as supporting aspects of human life ranging from raising children to supporting the elderly. This call is presently closed.

MMM PostDoc-Seed-Grants

We aim to encourage collaborations among PostDocs from at least two MMM-AGs. However, we also recognize the potential of smaller individual projects that might lead to an interesting output based on the new ideas of a single MMM PostDoc. Therefore, this new funding line can now also be used to apply for a broad range of measures to support PostDocs in conducting excellent individual research in MMM. Funding via MMM PostDoc-Seed-Grants is available up to the following amounts, depending on proposals targeting individual or team efforts: For individual PostDoc-Seed-Grants: up to 3500 EUR For collaborative proposals by PostDocs from at least two MMM-AGs: up to 5000 EUR per AG per grant (e.g., 10000 EUR for two PostDocs from two different AGs) This call is presently closed.

Research Projects Joint Projects