Leibniz Joint Lab Data Science & Open Knowledge

Within the framework of this Joint Lab, we conduct research in the fields of Data Science and Open Knowledge together with the Leibniz Universität Hannover and the L3S Research Center.

In order to intensify the cooperation between TIB, Leibniz Universität Hannover (LUH) and the L3S Research Center, the research and development of new methods and systems for data networking, as well as search in and exploration of large data sets is being promoted in various projects within the framework of the joint lab. The Joint Lab serves as a nucleus for further initiatives in the field of research and innovation.

Since its founding in 2017, the Joint Lab sustainably amplified its impact in terms of project acquisition and technology development in the initial domains of Education, Manufacturing and Automation, Health as well as Data and Web Science. Moreover, the Joint Lab expanded its activities to the four novel domains of ORKG, Data Markets, Data Entrepreneurship, Culture and the Creative Sector, as well as Digital Energy, with the acquisition of projects and the development of novel solutions tackling digitalisation challenges in these areas. 

Organisation of scientific data and knowledge

The Open Research Knowledge Graph (ORKG) revolutionises how scientific knowledge is shared and used. With a structured, searchable knowledge graph, the ORKG makes scientific information more accessible and usable for the global research community, transforming the way scientific knowledge is shared and utilised. By providing a structured, searchable knowledge graph, the ORKG enhances the accessibility and usability of scientific information for researchers worldwide, addressing the challenges posed by the ever-growing volume of scientific publications and the need for efficient knowledge management.

Projects:

Data Markets, Data Ecosystems & Data Platforms

The rapid growth of data generation and consumption has led to the emergence and proliferation of data markets, ecosystems, and platforms. These entities play a crucial role in the federalisation, optimisation, and integration of data, enabling stakeholders to trade, generate, and consume data efficiently. Addressing key challenges through federalisation, optimisation, and integration efforts, and promoting best practices in data management, the following projects aim to co-create more efficient, secure, and collaborative data environments, collectively contributing to the advancement of data markets, ecosystems, and platforms.

Projects:

Data Entrepreneurship, Business, Culture & Arts

The intersection of data entrepreneurship, business, culture, and arts represents a dynamic and innovative field where creative and technological sectors converge. This synergy fosters new business models and enhances digital, cultural and artistic experiences. By leveraging data and technology, stakeholders can drive innovation, enhance cultural experiences, and contribute to economic growth. The integration of arts and culture with business and technology enriches the creative sector and opens new avenues for entrepreneurial ventures. The following projects collectively demonstrate the potential of combining data entrepreneurship with the creative sector, co-shaping the future of data-driven entrepreneurship in the arts and culture through collaborative and innovative approaches.

Projects:

Digital Energy, Climate & Mobility

The digitalisation of the European energy system is a critical step towards achieving a sustainable and resilient energy future. This process involves integrating innovative technologies into energy systems and developing energy-specific AI tools to enhance efficiency, reliability, and sustainability. The digitalisation of the European energy sector is pivotal in addressing the challenges of climate change, enhancing the efficiency, reliability, and sustainability of energy systems, thus ensuring a sustainable energy future. Through such initiatives, Europe is progressing towards a more resilient and environmentally friendly energy landscape. The following projects illustrate the significant advancements and initiatives undertaken in this sector.

Projects:

Education

The integration of intelligent systems in education is revolutionising the way teaching and learning are conducted. These systems enable target group-specific teaching and personalized learning, catering to the diverse needs of students. The integration of intelligent systems in education is transforming the landscape of teaching and learning, paving the way for a more accessible and equitable education system. The following projects highlight the advancements in this field, focusing on innovative approaches to education and demonstrating the potential of these systems to provide personalized, inclusive, and effective educational experiences.

Projects:

Manufacturing & Automation

The advent of highly networked, intelligent technologies is transforming the manufacturing and automation sectors. These innovations offer the potential to radically reorganise production and service processes, enabling efficient redistribution of work between humans and machines, driving significant advancements in production and service processes. The integration of highly networked, intelligent technologies in manufacturing and automation demonstrate the potential of these technologies to enhance efficiency, flexibility, and sustainability in industrial operations. By fostering collaboration between academia, industry, and research institutions, the following projects exemplify the cutting-edge advancements in this field, paving the way for a more innovative and resilient manufacturing sector.

Projects:

Health

The integration of IT and AI in medical research and therapy is transforming healthcare by enabling personalized treatments and placing the patient at the center of care. Such approaches leverage advanced technologies tailoring treatments to individual patient needs, improving outcomes and enhancing the overall patient experience. The following projects exemplify AI and IT-supported healthcare and medical research, enabling personalized treatments and placing the patient at the center of care. 

Projects:

Data & Web Science

Interdisciplinary approaches in Web Science combine research to address complex challenges and develop innovative solutions that leverage the vast potential of web technologies. By addressing diverse challenges and leveraging the power of web technologies, strategic projects aim to contribute to a deeper understanding and more effective use of the web in various domains. The following projects exemplify our commitment to advancing web science through interdisciplinary research and collaboration. 

Projects:

Contact

Prof. Dr. Sören Auer

Head of Data Science & Digital Libraries Research Group
and Director of TIB

Email: soeren.auertibeu
Phone: +49 511 762-2531

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Prof. Dr. techn. Wolfgang Nejdl

Head of Institute of Distributed Systems / Knowledge Based Systems and Executive Director of L3S Research Center.

Email: nejdll3sde
Phone: +49 511 762-17716

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Alexandra Garatzogianni

Head of Knowledge and technology transfer, Coordinator of EU Projects

Email: alexandra.garatzogiannitibeu
Phone: +49 511 762-14694

Michael Fribus

Project Manager, Business Developer and Communications Manager for EU-funded projects

E-Mail: michael.fribustibeu

Phone: +49 511 762-14054

Location

The Joint-Lab is located in Lange Laube 30 in the direct neighbourhood of the TIB Research and Development.

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