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In the Research Data Working Group of the U Bremen Research Alliance initiatives in the fields of Research Data Management (RDM) and Data Science are bundled, NFDI consortia in which member institutions are involved are connected locally, and synergy effects are used for joint activities. The network also offers opportunities for collegial advice, collaboration, and coordination at the operational level.
Dr. Markus Adam
Head of IT at the Max Planck Institute for Marine Microbiology
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The demand for computing power in science is constantly growing, and with it the need for capacities and resources to store scientific data. IT-supported analysis and simulation methods are used in almost all areas of research. In order to use IT systems efficiently, it is necessary to deal intensively with the topic of research data management.
Contact
madam(at)mpi-bremen.de
Prof. Dr. Wolfgang Ahrens
Leibniz Institute for Prevention Research and Epidemiology; sub-project leader Healthy Planet, Guardians of the Hedgehogs
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Contact
ahrens(at)leibniz-bips.de
Christian Backe
Researcher at the German Research Center for Artificial Intelligence (DFKI) - Robotics Innovation Center (RIC); Project Leader for projects in e-mobility and logistics
"The Research Data Working Group of the U Bremen Research Alliance allows to coordinate the activities of DFKI RIC inside the framework of the National Resarch Data Infrastructure (NFDI) initiative with the activities of other member institutions and research groups."
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Christian Backe manages research data from field experiments in underwater and agricultural robotics at DFKI RIC. He designs and implements tools for FAIR research data management. In the project NFDI4Ing, he is involved in the development of a digital twin for field research data. His further interests include data mining and machine learning on time series.
Contact
christian.backe(at)dfki.de
Noemi Betancort Cabrera
Systems librarian at the State and University Library Bremen (Digital Services Department) and metadata manager at the Research Data Centre Qualiservice
"In recent years, the topic of data science and research data management has become increasingly important in the library world. The library can play an important role in the U Bremen Research Alliance, as it is not only a scientific institution with a strong long-term character that can offer archiving security and continuous consulting support, but is also optimally positioned due to its expertise in interdisciplinary metadata management and scientific publication processes. Libraries are optimal intermediaries between the requirements of the research community and the scientific infrastructures that drive Open Science."
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Noemi Betancort Cabrera is systems librarian and metadata manager at the State and University Bremen (SuUB Bremen) and at the Research Data Centre Qualiservice. Her experience with research data dates back to 2012 when she joined Qualiservice, where she learned (and continues learning) about the problems researchers face in managing, organising and publishing research data. In this respect, she learned that the support of researchers in the generation of (FAIR) data should not only be provided at the end of the research project or at the time of data publication, but throughout the entire data lifecycle.
Dr. Martin Blenkle
Head of Digital Services at the Bremen State and University Library
“The management of research data depends on appropriate description through formal and subject metadata. Libraries have considerable experience in this area and can assist researchers. Close collaboration between researchers and university infrastructure facilities is therefore particularly important.”
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Martin Blenkle is a chemist and academic librarian. He is head of the Digital Services Group at the Bremen State and University Library. The group works on the development of the IT infrastructure and the services of the Digital Library to support teaching and research at the universities in Bremen. The operation of the library system and the library search engines and open access repositories are of particular importance. Martin Blenkle is currently a member of the advisory board of the Common Library Network.
Prof. Dr.-Ing. Uta Bohnebeck
Professor of Practical Informatics/Data Science and spokesperson for the "Digital Transformation" research cluster at Bremen University of Applied Sciences
"The application of ML methods can only be target-oriented and effective if the underlying database is relevant and meaningful, quality-assured and trustworthy."
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My interests lie in the development and application of machine learning methods; in particular on the analysis of time series, especially the detection of anomalies, the context of trustworthy, explainable and informed AI and for industrial as well as environmental applications.
Prof. Dr. Andreas Breiter
Professor of Applied Computer Science at the Faculty of Mathematics and Computer Sciences (FB 3) and Chief Digital Officer (CDO) of the University of Bremen; Head of the Institute for Information Management Bremen GmbH (ifib) at the University of Bremen
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Contact
abreiter(at)ifib.de
Prof. Dr. Lucio Colombi Ciacchi
Professor of Production Engineering at the University of Bremen, Faculty 04
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Contact
colombi(at)hmi.uni-bremen.de
Dr. Frank Dannemann
Head of Avionics Systems Department at the Deutschen Zentrum für Luft- und Raumfahrt - German Aerospace Center
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Contact
Frank.Dannemann(at)dlr.de
Tanja Dannemann, Master of Social Sciences (Master's degree in Sociology)
Scientific publisher (quality ensuring and improvement as well as publication consulter, Member of the institute's RDM group (process level), interface to DLR-wide RDM and Member of the quality management team at the Deutsches Zentrum für Luft- und Raumfahrt - German Aerospace Center
"Research data management is an important part of our scientific work, the added value of which has unfortunately not yet reached all levels. Together, we can support each other and benefit from each other's experience and knowledge."
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As part of my main activity in the field of “scientific publishing”, I came aware early on of the importance of the sustainable processing and availability of research data as part of a scientific publication. I am a founding member of the institute's internal working group and support all activities primarily at process level. I am also our interface to the DLR Research Data Management department, with whom I am in regular contact. As I am also actively involved in quality management at the institute, I use these resources to promote RDM at our institute. Be it by providing and distributing information on the topic or by preparing processes (release, DOI allocation, role of RDM in projects...).
Contact
Tanja.Dannemann(at)dlr.de
Prof. Dr. Thorsten Dickhaus
Professor of Mathematical Statistics at the Faculty of Mathematics and Computer Sciences (FB 3) of the University of Bremen
"I want to engage myself in the Research Data Working Group, because data science crucially relies on the interdisciplinary exchange of ideas and competences."
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Thorsten Dickhaus studied mathematics in Aachen and Düsseldorf, and he received his Dr. rer. nat. degree in mathematics and application areas from Heinrich-Heine-University Düsseldorf in 2008. Afterwards, we worked in Berlin, first as a PostDoc at the Berlin Institute of Technology, then as a junior professor at the Humboldt-University and finally as a scientific staff member at the Weierstrass Institute for Applied Analysis and Stochastics. Since March 2015, Thorsten Dickhaus is Full Professor and Head of the Working Group “Mathematical Statistics” at Faculty 3: Mathematics and Computer Science at the University of Bremen. Since 2018 he is the Vice Dean of Academics of the Faculty of Mathematics and Computer Science. His research interests include the development of statistical methods and their applications, in particular to high-dimensional and complex structured data from the life sciences and from economics.
Contact
dickhaus(at)uni-bremen.de
Prof. Dr. Hans-Günther Döbereiner
Professor for Biological Physics at the Faculty of Physics/Electrical Engineering (FB 01) of the University Bremen (FB1), Head of Membrane Physics Group at Institute for Biophysics; Spokesperson NFDI4Phys
"He contributes to the U Bremen Research Alliance with his vision of universal characteristics in hierarchical data structures from physics of emergent systems. His aim is to establish contextual links between statics and dynamics of networks and semantic content. His current projects embrace the propagation of phase boundaries in active matter, regulation of cellular motion, the role of synchronized network oscillations in learning processes, binary decision-making phase diagrams, as well as trade with public goods on dynamic networks."
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Hans-Günther Döbereiner graduated from the University of Erlangen-Nuremberg in the field of Theoretical Nuclear Physics in 1989. In 1995, he finished his Ph.D. in Biological Physics at Simon-Fraser University in Canada. After his habilitation in Physics at University of Potsdam in 1999 with his work at MPI of Colloids and Interfaces, he visited as a Heisenberg fellow the Curie Institute, Paris and the University of Copenhagen. Further, in 2003 he continued his work as Heisenberg fellow in the Department of Biological Sciences at Columbia University in New York City, where he lectured Biological Physics as Adjunct Assistant Professor during 2005 and 2006 in the Physics department. In 2006, he became professor at the Department for Physics and Electrical Engineering at the University of Bremen. His research group at the Institute of Biophysics is dedicated to basic principles of cellular motion and biological physics of Physarum polycephalum. In recent years this slime mold has become a model system for (basal) cognition. Since 2016 Hans-Günther Döbereiner has been organizing the ring lecture series Universal Properties of Decision-Making, which builds a bridge between the humanities and natural sciences. In 2020, he became spokesperson of the consortium National Research Data Infrastructure for Disciplinary and Transdisciplinary Physics and is a member of the DSC Bremen.
Contact
hgd(at)uni-bremen.de
Dr. Martin Dörenkämper
Martin Dörenkämper is Post-doctoral Researcher at the Fraunhofer institute for wind energy systems IWES, Department of Aerodynamics, CFD and Stochastic Dynamics in Oldenburg
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Martin Dörenkämper has been working on evaluation of weather and wind farm data in the context of wind energy research since more than 10 years. After his undergraduate and graduate studies in meteorology at the Universities of Hamburg and Oklahoma, his PhD research at the University of Oldenburg focused on energy meteorology. His current research addresses the improvement and validation of industry-suited models for wind energy siting and wind farm yield analysis applications. This work includes working with multi-dimensional as well as time-series based data of various complexity and confidentiality levels. At Fraunhofer IWES Martin coordinates joint research projects with industrial and academic partners.
Prof. Dr. Rolf Drechsler
Professor for Computer Architecture, Dean of the Faculty of Mathematics and Computer Science (FB 3) and Spokesperson of the Data Science Center at the University of Bremen; Director of the Cyber-Physical Systems Group at the German Research Center for Artificial Intelligence (DFKI)
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Rolf Drechsler received the Diploma and Dr. phil. nat. degrees in computer science from the Johann Wolfgang Goethe University in Frankfurt am Main, Germany, in 1992 and 1995, respectively. He worked at the Institute of Computer Science, Albert-Ludwigs University, Freiburg im Breisgau, Germany, from 1995 to 2000, and at the Corporate Technology Department, Siemens AG, Munich, Germany, from 2000 to 2001.
Since October 2001, Rolf Drechsler is Full Professor and Head of the Group of Computer Architecture, Institute of Computer Science, at the University of Bremen, Germany. In 2011, he additionally became the Director of the Cyber-Physical Systems Group at the German Research Center for Artificial Intelligence (DFKI) in Bremen. His current research interests include the development and design of data structures and algorithms with a focus on circuit and system design. He is an IEEE Fellow.
From 2008 to 2013 he was the Vice Rector for Research and Young Academics at the University of Bremen. Since 2018 he is the Dean of the Faculty of Mathematics and Computer Science. He is one of the founders and currently the spokesperson of the Data Science Center at University of Bremen (DSC@UB).
Contact
drechsler(at)uni-bremen.de
Prof. Dr. Stephan Frickenhaus
Professor for Technical Mathematics of Earth System Sciences at University Bremen; Head of the Computing and Data Center, Alfred Wegener Institute - Helmholtz Center for Polar- and Marine Research; Speaker of the Competence Centre for High Performance Computing Bremen, BremHLR; Co-Speaker NFDI4Earth
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Stephan Frickenhaus is Professor for Technical Mathematics of Earth System Sciences within the Faculty Mathematics and Computer Science at the University of Bremen.
He is head the Computing and Data Center of the Alfred Wegener Institute Bremerhaven, also leading the Computing Branch therein. He is engaged in High Performance Computing (HPC) within the collaboration BremHLR and he speaks for the technical commission of HLRN, being Co-PI of Bremen’s successful NHR initiative with HLRN. As Co-Applicant in NFDI4Earth he contributes to the NFDI activities of University Bremen and the research field Earth and Environment within the Helmholtz association. His HPC-oriented teams work on the topics of data assimilation and high performance scalability of earth system simulation models. He will further support establishing the city and state of Bremen as a center of expertise for HPC, interfacing with management and analyses of Earth System science data.
Prof. Dr. Frank Oliver Glöckner
Professor of Earth System Data Science at the University of Bremen; Head of Data at the Computing Center of the Alfred Wegener Institute; Helmholtz Centre for Polar and Marine Research; Head of PANGAEA; Speaker NFDI4Biodiversity
"In U Bremen Research Alliance he is interested in a strong collaboration between all members to drive research data management and data science forward. He will contribute his network and experience to establish the city and state of Bremen as a center of excellence in these fields."
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Frank Oliver Glöckner is Professor for Earth System Data Science at the Department of Geosciences at the University of Bremen. He is head of Data at the Computing and Data Center of the Alfred Wegener Institute Bremerhaven. He is head of the Data Publisher for Earth and Environmental Science PANGAEA at MARUM and speaker of the NFDI4BioDiversity consortium. His interdisciplinary team of geologists, biologists, engineers, and software developers located at the AWI and MARUM has a national and international proven track record in research data management, data logistics and data science.
Dr. Birte Hemmelskamp-Pfeiffer
Head of Research Data Infrastructure at the Leibniz Centre for Tropical Marine Research (ZMT)
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Birte Hemmelskamp-Pfeiffer is head of the Research Data Infrastructure department at the Leibniz Centre for Tropical Marine Research (ZMT) GmbH. Her team supports the scientists of the institute in all questions of research data management through demand-oriented services and products.
Dr. rer. nat. Daniel Christopher Hoinkiss
Principal Scientist MR Physics, Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
„In the field of magnetic resonance imaging, there are always points of contact with data science. The Research Data Working Group offers us the opportunity to exchange ideas in this area within the Research Alliance and to expand the research location in this area through collaborations!“
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Daniel Hoinkiss is a principal scientist at the Fraunhofer Institute for Digital Medicine MEVIS, specialising in the physics of magnetic resonance imaging (MRI). During his PhD, he developed and applied various prospective motion correction techniques for MRI applications to improve image quality during measurements under strong motion. This work established his research focus on the real-time capability and adaptation of MRI sequences, which is necessary to track the measurement slice during measurements in response to motion. He currently leads the development and strategic responsibility for the development of a vendor-independent MRI development framework called gammaSTAR, which quickly became the foundation of MRI development at Fraunhofer MEVIS. MRI is highly dependent on the interaction of data. Not only during image acquisition, but also when handling the image data of test subjects and patients. Daniel Hoinkiss is therefore highly motivated to drive forward the collaborative nature of data science within the research alliance.
Prof. Dr. Betina Hollstein
Professor of Microsociology and Qualitative Methods at University Bremen; Head of the Department Methods Research at SOCIUM – Research Center on Inequality and Social Policy at University of Bremen; Co-Speaker KonsortSWD
"Within the U Bremen Research Alliance she is interested in fostering interdisciplinary bonds in research data management and data science across different methodological approaches and data types, with special emphasis on sensitive personal data and research ethics."
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Betina Hollstein is Professor for Microsociology and Qualitative Methods at University Bremen. She is head of QUALISERVICE, national data service center for social science qualitative research data, located at the SOCIUM – Research Center at University of Bremen. She is member of the German Data Forum (RatSWD), advisory council to the federal government, and co-spokesperson of the Consortium for the Social, Behavioural, Educational, and Economic Sciences (KonsortSWD).
Dr. Tanja Hörner
Coordinator Research Data Working Group and Data Train – Training in Research Data Management and Data Science
"In the Research Data Working Group as well as for the conception of Data Train, she incorporates her scientific perspective - through her background in Polar Marine Research (specialized in Geochemical Analyses) - and her experience as a Data and Sample Manager for international scientific drilling projects. She aims to network initiatives in the areas of Research Data Management and Data Science in Bremen, build platforms for exchange and support joint activities. The goal is to establish a FAIR data sphere in which data is handled sustainably as well as responsibly and can be transformed into actionable knowledge."
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Tanja Hörner is coordinator of the cross-disciplinary training for Doctoral Researchers of the U Bremen Research Alliance "Data Train - Training in Research Data Management and Data Science". Data Train is a joint initiative of the U Bremen Research Alliance and the Federal State of Bremen. The program aims to strengthen competencies in data literacy, Research Data Management, and Data Science. Thereby, the program fosters high quality and FAIR data and enhances career opportunities for Doctotral Researchers. Tanja Hörner also coordinates the Research Data Working Group and contributes to the coordination of the Alliance's "Sample Management" and "Data Stewardship" exchange groups.
Prof. Dr. Christian Katzenbach
Professor of Communication and Media Studies with a focus on media governance and platform economics at ZeMKI at the University of Bremen and Head of the Lab "Platform Governance, Media and Technology"
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Contact
katzenbach(at)uni-bremen.de
Stephan Kloep
Head of data management at the Competence Center for Clinical Studies Bremen
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Contact
kloep(at)uni-bremen.de
Prof. Dr. Michal Kucera
Professor of Micropaleontology - Paleoceanography at the Center for Marine and Enviromental Science (MARUM), University of Bremen; Participant NFDI4Earth
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Contact
mkucera(at)marum.de
Prof. Dr. Christoph Lüth
Sub-project leader MRI4All at the German Research Center for Artificial Intelligence Bremen
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Contakt
clueth(at)uni-bremen.de
Dr. Michael Lütjen
Research assistant at BIBA - Bremer Institut für Produktion und Logistik GmbH
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Contact
ltj(at)biba.uni-bremen.de
Dr. Manfred Nölte
Digital Humanities Advisor and Subject Librarian for Mathematics and Computer Science at the State and University Library Bremen
"The Digital Humanities is a rapidly growing field of research with a distinct proximity to Data Science. As a member of the Research Data Working Group of the U Bremen Research Alliance, I would like to support the vibrant activities at the University of Bremen in this field."
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As a mathematician with a PhD in bioinformatics, Manfred Nölte has worked for many years in applied and interdisciplinary fields. At the Bremen State and University Library, these experiences in Data Science were complemented by digitisation, full text generation and finally the digital humanities. Therefore, an advisory service for the Digital Humanities was established at SuUB Bremen for students, teachers and researchers in the humanities, cultural studies and social sciences.
Contact
noelte(at)suub.uni-bremen.de
Prof. Dr. Iris Pigeot
Institute Director at the Leibniz Institute for Prevention Research and Epidemiology – BIPS; Professor of Statistics with a focus on Biometrics and Methods of Epidemiology at the University of Bremen; Speaker of the UBRA Lead Project "Research Data Management (RDM) and Data Science", Co-speaker NFDI4Health
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Professor Iris Pigeot has been the director of the today’s Leibniz Institute for Prevention Research and Epidemiology – BIPS since March 2004 and has been in charge of the Department of Biometry and Data Management of the institute since September 2001. Furthermore, she has been professor for Statistics with a Focus on Biometry and Methods in Epidemiology at the University of Bremen since 2001.
Iris Pigeot is speaker of the UBRA Lead Project "Research Data Management (RDM) and Data Science". From 2019 to 2022, Iris Pigeot was chairwoman of the U Bremen Research Alliance (UBRA) together with Bernd Scholz-Reiter (former president of the University of Bremen). She initiated an interdisciplinary graduate education program on “Research data management and data science” in 2019 to serve the upcoming needs in this area. This education program is led by Iris Pigeot together with Frank Oliver Glöckner from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research. As Co-Spokesperson of the consortium to set up a National Research Data Infrastructure for Personal Health Data (NFDI4Health), she links the graduate education program to this German-wide initiative and ensures the implementation of uniform standards for personal health data.
Contact
pigeot(at)leibniz-bips.de
Dr. Alexander Reis
Researcher for Digital Documentation at the German Maritime Museum, Leibniz Institute for Maritime History in Bremerhaven
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Contact
A.Reis(at)dsm.museum
Dr.-Ing. Norbert Riefler
Researcher in the field Scientific Computing and Research Data Management at Leibniz Institute for Material oriented Technology; Leader of the Data Steward Network
"In the context of the U Bremen Research Alliance, his main focus is about sharing experience about Research Data Management as well as collaboration and networking concerning further improvements."
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Norbert Riefler is responsible within the Leibniz Institute for Material oriented Technology for soft- and hardware to simulate engineering problems in the context of Computer Aided Engineering (CAE) and for the introduction and development of research data management (RDM), what requires qualification of the scientists.
Contact
riefler(at)iwt.uni-bremen.de
Dr. Mariam R. Rizkallah
Research Associate at the Research Data Department, Fraunhofer Institute for Manufacturing Technology and Advanced Materials IFAM
"As part of the Research Data Working Group, Fraunhofer IFAM values the connectivity and sharing of experiences with the U Bremen Research Alliance institutes. While data and tools can be specific to disciplines, institutes and use cases, guidelines, tools, and the journey of research data management remain overarching themes. Moreover, data becomes more powerful when linked and integrated, and such interdisciplinary collaborations are possible within the UBRA."
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Mariam R. Rizkallah is a research associate in the Research Data Department at Fraunhofer IFAM. She works with tools, methods, and data governance concepts to improve experimental data interoperability, sharing, and AI-readiness at the interface between academia and industry. She obtained her bachelor's degree in pharmaceutical sciences from Cairo University and her master's degree in biotechnology with a focus on bioinformatics from the American University in Cairo, in collaboration with the Alfred Wegener Institute. She also pursued her PhD in Data Engineering at Constructor University, working on the challenges in the integration and analysis of high-dimensional omics and non-omics data from health and environmental sources at the Leibniz Institute for Prevention Research and Epidemiology – BIPS. The Research Data Department at Fraunhofer IFAM develops new business models and optimizes processes and workflows in the following areas: mobility (integration of electric vehicles into energy grids), energy (optimization of building energy systems), production (measurement sensors, intelligent data management, digitization strategy), and life sciences (data integration and analysis).
Dr. Lina Schaare
Coordinator, Research Data Management and Data Science; Data Train – Training in Research Data Management and Data Science
„In order to meet the societal challenges of the future, we need strong expertise in research data management and data science from interdisciplinary research alliances such as the U Bremen Research Alliance. I would therefore like to work together with the Research Data Working Group to create the conditions for research and researchers from which innovation and knowledge can emerge.“
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Lina Schaare is the U Bremen Research Alliance coordinator for research data management and data science. One of of her work packages includes the coordination of the interdisciplinary doctoral program "Data Train - Training in Research Data Management and
Data Science". The program aims to strengthen data skills in science and to open up versatile career paths for doctoral researchers through further training in the areas of research data management and data science. Lina Schaare developed her own data skills as a neuroscientist in order to explore the complex data sets of her interdisciplinary research projects.
Dr. Björn Oliver Schmidt
Contact person for Research Data Management at the University of Bremen, Department for Research, Early Career Researchers and Transfer
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Contact
bschmidt(at)vw.uni-bremen.de
Prof. Dr. Dr. Norman Sieroka
Professor of Philosophy at University Bremen; Board Member of RETHINK (Rethinking Design with Artificial Intelligence) at ETH Zurich; Co-Director of the Turing Center Zurich
"Being born and raised near Bremen, Norman Sieroka is happy to be on board with UBRA and to make the region a haven for deliberate data science."
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Norman Sieroka is Professor for Philosophy at the University of Bremen. He is a member of the Directory Board of the Turing Centre Zurich and of the Governance Board of ETH’s "Rethink" initiative (rethinking design with artificial intelligence). He studied philosophy, physics, and mathematics in Heidelberg and Cambridge. In fact, a special trait of his research group is that all members have backgrounds in more than one academic discipline. The group is interested in questions about "how science works" and what values are pursued in science. Here special attention is paid to the role played by data and by artificial intelligence within different disciplines (such as physics and pharmaceutical science) and different research contexts (such as theory development, hypothesis generation, and problem solving).
Contact
sieroka(at)uni-bremen.de
Dr.-Ing. habil. Frank Sill Torres
Institute Director (acting) of the Institute for the Protection of Maritime Infrastructures of the German Aerospace Center (DLR)
"Research data management is crucial for us to ensure the efficient and sustainable use of scientific data"
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In the research conducted by the Institute for the Protection of Maritime Infrastructures, a wide variety of diverse research data is generated, processed, utilized, and shared with research partners. Therefore, the trustworthy and reliable management of this data is of utmost importance to us.
Contact
frank.silltorres(at)dlr.de
Dr. Lena Steinmann
Coordinator of the Data Science Center at the University of Bremen
"As part of the Research Data Working Group, Lena Steinman is interested in exchanging ideas on data science and research data management and would like to contribute to the establishment of an open data culture in the alliance."
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Lena Steinmann is the scientific coordinator of the Data Science Center (DSC) at the University of Bremen. She manages the activities of the DSC including interdisciplinary collaborations, science communication, public relations, and the acquisition of third-party funding. Her goal is to advance data science in all disciplines and to promote cooperation between methodological experts and application-oriented researchers. From her previous work as marine geophysicist and principal investigator, she is well aware of the challenges that application-oriented scientist face when conducting data-intensive research. Therefore, she brings to the AG Research Data both a broad perspective on data science through her role as DSC coordinator as well as her experience as a data-driven domain scientist.
Dr. Torben Stührmann
Head of the Resilient Energy Systems working group, Deputy Spokesperson Bremen Research Centre for Energy Systems and contact person NFDI4Energy at the University of Bremen
"Inter- and transdisciplinary cooperation is essential for the data-based analysis of complex socio-technical contexts. The Research Data Working Group offers an excellent platform for this exchange."
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The research conducted by the Resilient Energy Systems research group focuses on examining and supporting transformation processes in the future energy system.
One key focus is on the concept of transformative resilience - the ability to use profound changes or disruptive events in the energy system as an opportunity to shape sustainable and robust structures. In this context, we develop approaches to create less vulnerable systems - not only as a reaction to such disruptions but also proactively through early strategic planning. Another main area of our work is data-driven analysis of sociotechnical vulnerabilities and risks, as well as model-based foresight of future scenarios for urban and industrial infrastructures.
We develop tools for energy system modeling and optimization, as well as digital planning tools, to simulate the impact of various measures on resilience and sustainability in the energy system. Together with transformation actors beyond research, we create well-founded decision-making bases for the complex transformation of the energy system. With the help of urban digital twins, we provide promising starting points to capture complex interconnections and support transformation actors in complex decision-making processes.
The Virtual Transformation Lab (VTL) offers an environment where these topics can be collaboratively shaped with different stakeholder groups. The VTL provides both traditional analog and digital interactive tools (LED wall & touch tables) to optimally support different phases of transformation processes.
Prof. Dr. Sebastian Vehlken
Professor of Knowledge Processes and Digital Media at the German Maritime Museum | Leibniz Institute of Maritime History in Bremerhaven and at the University of Oldenburg
"A coherent research data management is essential for memory institutions in order to be able to fulfill their social tasks in a sustainable manner and with an up-to-date perspective. At the German Maritime Museum, with its collection of very heterogeneous (often three-dimensional) objects, special challenges arise for their data management, their international accessibility, and their archiving strategies. First of all, the UBRA working group on data management is an ideal environment to discuss the digital accessibility of such collections and to jointly search for solutions - also with regard to automated processes: To what extent can the DSM serve as an experimental framework for case studies in the field of machine learning? Second, it provides a fruitful transdisciplinary context for the discussion of digital/data-driven methods for historical research. And thirdly, it builds a framework for the development of ideas and support for a continued training in aspects of information science for the (research) staff working in the DSM."
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Sebastian Vehlken has been appointed as Professor of Knowledge Processes and Digital Media at the German Maritime Museum | Leibniz Institute of Maritime History in Bremerhaven and at the University of Oldenburg in August 2022.
From 1998-2004, he studied Film- and Television Studies, Journalism and Economics at the Ruhr University in Bochum. From 2005-2007, he was a DFG fellow in the research training group Mediale Historiographien at the Bauhaus University Weimar. In 2007-2010 he worked as a research assistant at the Chair of Epistemology and History of Digital Media at the University of Vienna, and in November 2010 he received his PhD from the Institute of Cultural Studies at Humboldt University in Berlin on the topic "Swarms. Media Cultures of Intransparency" (supervisors: Prof. Dr. Joseph Vogl, Prof. Dr. Claus Pias; published in 2012 as "Zootechnologies. A Media History of Swarm Research, Diaphanes Verlag); English reprint 2019 as "Zootechnologies. A Media History of Swarm Research" (Amsterdam University Press).
From 2010-2013 he was a postdoctoral researcher in the Department of Culture and Aesthetics of Digital Media at Leuphana University Lüneburg, and from 2013-2022 a junior director and later senior researcher in the DFG-funded Institute for Advanced Study on Media Cultures of Computer Simulation. From 2017-2021, he held a professorship for Media Theory and Media History, also at Leuphana University Lüneburg.
Substitute and visiting professorships at the University of Freiburg (2021/22), HU Berlin (2015/16), University of Vienna (2015), and at Leuphana (2015/2022). In 2014, he was a Research Fellow at the International Research College for Cultural Studies (IFK) Vienna.
Contact
vehlken(at)dsm.museum
Marco Vountas
Group lead of the Aerosol & Cloud Group as senior scientist at IUP in the department of Physics and Chemistry of the Atmosphere (PCA, Prof. Bösch). Group lead of the IT and scientific computing at IUP in the department of the PCA
"I have been working in the field of data generation, utilization and archiving for almost 30 years and hope that I can enrich the AG with my experience."
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The focus of most research groups in the PCA at the IUP (including mine) is the evaluation of satellite data. This is mainly done using retrieval methods developed in-house. The underlying and analyzed data sets as well as those for the purpose of validation have been the main basis of the work in PCA for three decades. Recently, output data from models have also been added.
In this context, we have been dealing for many years with considerable input and output data amounts (>2 PB), the necessary data repositories (mainly Pangaea) and the provision of data from the technical, scientific and legal side.
Prof. Dr. Hajo Zeeb
Head of the Department of Prevention and Evaluation at the Leibniz Institute for Prevention Research and Epidemiology
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Contact
zeeb(at)leibniz-bips.de
Cooperating in U Bremen Research Alliance:
