Image showing data folders connected in a blue space.

© D3Damon / iStock

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.

Whitepaper
© U Bremen Research Alliance

Whitepaper on the establishment of cooperative research data management / UBRA

To strengthen cooperative future-oriented science, the U Bremen Research Alliance jointly pursues the goal of creating a coordinated space for innovation, infrastructure and research.

Click here for our Whitepaper

Data Stewardship, Sample Management, Nagoya-Protocol

Cross-disciplinary and cross-institutional exchange at the operational level

Staff members from the U Bremen Research Alliance as well as interested parties from other institutions come together in groups for a topic-specific exchange. The exchange groups provide a platform for cross-institutional and cross-disciplinary networking as well as collegial consultation. Members can discuss issues in the groups and benefit from the diverse perspectives as well as insights into solution strategies of others. Developments can be coordinated, thus interoperability and (scientific) collaboration across institutions is promoted.

To the exchange grougs

Noemi Betancort Cabrera (University of Bremen / SuUB / QUALISERVICE)

Noemi Betancort
© Noemi Betancort

Systems librarian at the State and University Library Bremen (Digital Services Department) and metadata manager at the Research Data Centre Qualiservice

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.

Statement about the lead project "Research Data Management and Data Science"

"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."

Contact:  noemi.betancort(at)suub.uni-bremen.de

Prof. Dr. Andreas Breiter (University of Bremen / ifib)

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

Contact:  abreiter(at)ifib.de

Dr. Florian Cordes (DFKI)

© Florian Cordes

Team Leader – Terrestrial Robotics (Production-SAR-eMobilty-Health) at German Research Center for Artificial Intelligence (DFKI) Robotics Innovation Center (RIC) Bremen; Project Leader – Space Robotics at DFKI RIC

Florian Cordes is leading the team Terrestrial Robotics at the German Research Center for Artificial Intelligence – Robotics Innovation Center (DFKI RIC) in Bremen. The team has the main theme “mobile manipulation” which is represented in the areas of industrial production and logistics, search and rescue, new mobility concepts and electro-mobility as well as health care and rehabilitation robotics. Furthermore, he led and is leading several projects in the area of space robotics with national and EU fundings. A major interest is field testing of robotic systems. These real-world deployments generate an abundance of field data that calls for proper management and Data Science.

Statement about the lead project "Research Data Management and Data Science"

"The Research Data Working Group of the U Bremen Research Alliance allows to coordinate the activities of DFKI RIC within the framework of the National Research Data Infrastructure (NFDI) initiative with the activities of other member institutions and research groups."

Contact:  florian.cordes(at)dfki.de

Dr. Volker Dicken (MEVIS)

Researcher at the Fraunhofer Institute for Digital Medicine, MEVIS

Prof. Dr. Thorsten Dickhaus (University of Bremen)

© Thorsten Dickhaus

Professor of Mathematical Statistics at the Faculty of Mathematics and Computer Sciences (FB 3) of the University of Bremen

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.

Statement about the lead project "Research Data Management and Data Science"

"I want to engage myself in the Research Data Working Group, because data science crucially relies on the interdisciplinary exchange of ideas and competences."

Contact:  dickhaus(at)uni-bremen.de

Prof. Dr. Hans-Günther Döbereiner (University of Bremen)

© 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

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.

Statement about the lead project "Research Data Management and Data Science"

"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."

Contact:  hgd(at)uni-bremen.de

Dr. Conrad Droste (MPIMM)

Coordinator Science-IT at the Max Planck Institute for Marine Microbiology; Leader of the Exchange Group Sample Management

Contact:  cdros­te(at)mpi-bre­men.de

Dr. Tina Dohna, (University of Bremen / MARUM / PANGAEA)

Research Associate for PANGAEA, Data Publisher for Earth & Environmental Science at the Center for Marine Environmental Sciences (MARUM), University of Bremen

Contact: tdoh­na(at)marum.de

Dr. Martin Dörenkämper (IWES)

© Martin Dörenkämper / Fraunhofer IWES

Martin Dörenkämper is Post-doctoral Researcher at the Fraunhofer institute for wind energy systems IWES, Department of Aerodynamics, CFD and Stochastic Dynamics in Oldenburg

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.

Contact:  martin.doerenkaemper(at)iwes.fraunhofer.de

Prof. Dr. Rolf Drechsler (University of Bremen / DSC, DFKI)

Foto von Prof. Dr. Rolf Drechsler
© Universität Bremen / AGRA

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)

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; http://www.rolfdrechsler.de/

Dr. Nils Düpont (University of Bremen / SOCIUM / SFB 1342)

Post-doctoral Researcher in the field Political Economy of the Welfare State, Comparative Political Economy within the Collaborative Research Centre 1342 (CRC 1342) "Global Dynamics of Social Policy"; SOCIUM Research Center on Inequality and Social Policy at the University of Bremen.

Contact: duepont(at)uni-bremen.de

Prof. Dr. Stephan Frickenhaus (AWI)

© 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

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.

Contact:  stephan.frickenhausa(at)wi.de

Prof. Dr. Frank Oliver Glöckner (AWI / PANGAEA, University of Bremen / MARUM / PANGAEA)

Prof. Dr. Frank-Oliver Glöckner
© Alfred-Wegener-Institut

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

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 and Adjunct Professor for Bioinformatics at the Jacobs University Bremen. 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.

Statement about the lead project "Research Data Management and Data Science"

"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."

Contact:  frank.oliver.gloeckner(at)awi.de

Prof. Dr. Jutta Günther (University of Bremen)

© Jutta Günther

Vice President of Research at the University of Bremen; Professor of economics, particularly innovation economics and structural change at the University of Bremen

Jutta Günther studied economics and social science at the Universities of Oldenburg, Osnabrück and Albany / New York from 1994 to 1999. In 2002 she did her doctorate at the University of Osnabrück in the field of social science at the chair of economic theory. From 2002 to 2014 she worked at the Leibniz Institute for Economic Research Halle (IWH) as scientist. She held different leading positions there, for example as head of department for structural change from 2008 to 2013 or as member of the executive board from 2011 to 2013. She habilitated at the faculty for economic science of the Friedrich-Schiller-University of Jena in 2014. In April 2014 Jutta Günther took the professorship of economics, especially innovation and structural change at the University of Bremen. Her research priorities are innovation processes, structural change and economic aspects of system transformation. Since April 2020 she also serves as Vice President of Research at the University of Bremen.

Statement about the lead project "Research Data Management and Data Science"

"Research in its many facets - whether basic or application-oriented, technical-scientific or social-humanistic - always benefits from the close connection and intensive exchange between different perspectives and approaches. Only in this way can synergies be identified and used to achieve top-level research and advance society. The close cooperation between university research and non-university research institutions enables the U Bremen Research Alliance to facilitate the optimal use of these potentials."

Contact: office-guenther(at)uni-bremen.de

Dr. Tanja Hörner (University of Bremen / UBRA)

 

Coordinator Research Data Working Group and Data Train –­­­ ­ Training in Research Data Management and Data Science

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.

Statement about the lead project "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." 

Contact:  tanja.hoerner(at)vw.uni-bremen.de

Prof. Dr. Betina Hollstein (University of Bremen / SOCIUM / QUALISERVICE)

© 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

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).

Statement about the lead project "Research Data Management and Data Science"

"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."

Contact:  betina.hollstein(at)uni-bremen.de

Prof. Dr. Michal Kucera (Univeristy of Bremen / MARUM)

Professor of Micropaleontology - Paleoceanography at the Center for Marine and Enviromental Science (MARUM), University of Bremen; Participant NFDI4Earth

Contact:  mku­ce­ra(at)marum.de

Dr. Dennis Niewerth (DSM)

Team Leader for Science-Driven Digitization / Research Associate for Digital History and Digital Heritage at the German Maritime Museum, Leibniz Institute for Maritime History in Bremerhaven

Contact:  Niewerth(at)dsm.museum

Prof. Dr. Nils Moosdorf (ZMT)

© Nils Moosdorf

Professor of Coastal Hydrogeology at Kiel University; Workgroup leader “Submarine Groundwater discharge” Leibniz Centre for Tropical Marine Research (ZMT) in Bremen

Nils Moosdorf is Professor for Coastal Hydrogeology at the Institute for Geosciences at Kiel University. He leads the working group “Submarine Groundwater Discharge” at the Leibniz Centre for Tropical Marine Research (ZMT) in Bremen. He is domain scientist with high interest in scientific data management and spearheaded the digital extension of ZMT (DigiZ).

Statement about the lead project "Research Data Management and Data Science"

"In the U Bremen Research Alliance he is interested in a collaborative approach towards open data to improve data availability and allow their scientific usage. He will contribute a strong domain user perspective paired with expertise in data publishing and represents the ZMT DigiZ in the working group."

Contact:  nils.moosdorf(at)leibniz-zmt.de

Maria Elisabeth Müller (University of Bremen / SuUB)

Director of the State and University Library Bremen (SuUB)

Contact:  direktion(at)suub.uni-bremen.de

Prof. Dr. Iris Pigeot (BIPS)

© Leibniz BIPS / 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; Vice Chair of the U Bremen Research Alliance; Co-speaker NFDI4Health

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.

Since 2019, Iris Pigeot has been chairwoman of the U Bremen Research Alliance (UBRA) together with Bernd Scholz-Reiter (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(@)leibniz-bips.de

Dr. Alexander Reis (DSM)

Researcher for Digital Documentation at the German Maritime Museum, Leibniz Institute for Maritime History in Bremerhaven

Contact:  A.Reis(at)dsm.museum

Dr.-Ing. Norbert Riefler (IWT)

© Norbert Riefler / Leibniz IWT

Researcher in the field Scientific Computing and Research Data Management at Leibniz Institute for Material oriented Technology; Leader of the Data Steward Network

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.

 

Statement about the lead project "Research Data Management and Data Science"

"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."

Contact:  riefler(at)iwt.uni-bremen.de

Dr. Martin Scharpenberg (University of Bremen / KKSB)

© Martin Scharpenberg

Academic Councilor at the Competence Center for Clinical Trials Bremen (KKSB) at the University of Bremen

Martin Scharpenberg received his doctorate in mathematics from the University of Bremen and is academic councilor at the KKSB and as such is responsible for parts of the courses in the MSc. Medical Biometry / Biostatistcs. As a project manager at the KKSB, he is also responsible for the planning and evaluation of clinical studies and oversees the statistical advisory services of the KKSB. He is a deputy member of the ethics committee of the state of Bremen.

Contact:  mscharpenberg(at)uni-bremen.de

Dr. Peter Schiffels (IFAM)

Researcher at the Fraunhofer Institute for Manufacturing, Technology and Advanced Materials, IFAM

Contact:  ps(at)ifam.fraunhofer.de

Dr. Björn Oliver Schmidt (University of Bremen)

Contact person for Research Data Management at the University of Bremen, Department for Research, Early Career Researchers and Transfer

Contact:  bschmidt(at)vw.uni-bremen.de

Dr. Joscha Schmiedt (ZMT)

Leader Research Data Service at the Leibniz Centre for Tropical Marine Research, ZMT

Contact:  joscha.schmiedt(at)leibniz-zmt.de

Prof. Dr. Dr. Norman Sieroka (University of Bremen / FB09)

© Matej Meza / Universität Bremen

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

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).

Statement about the lead project "Research Data Management and Data Science"

"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."

Contact: sieroka(at)uni-bremen.de

Dr. Lena Steinmann (Universität Bremen / DSC)

© Universität Bremen / DSC

Coordinator of the Data Science Center at the University of  Bremen

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.

Statement about the lead project "Research Data Management and Data Science"

"As part of the Reserch 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."

Contact: lena.steinmann(at)uni-bremen.de

Dr. Birgit Suhr (DLR)

Research Associate in the field System Develeopment and Project Office at the German Aerospace Center (DLR), Institute of Space Systems in Bremen
 

Björn Tings (DLR)

 

Research Assistant at German Aerospace Centre (DLR), Remote Sensing Technology Institute, Team SAR-Oceanography in Bremen; PhD-student at Helmut Schmidt University in Hamburg

Björn Tings accomplished his Bachelor studies in Scientific Programming and his simultaneous qualification in Mathematical-technical Software Development in 2010 at RWTH Aachen University. In 2013 he received his Master degree in Artificial Intelligence at Maastricht University. Since 2013 he is employed as research associate in the team of Synthetic Aperture Radar (SAR) oceanography at the Remote Sensing Technology Institute of German Aerospace Center (DLR) in Bremen, Germany. He is responsible for integrating the team’s research and development work into operational prototype software for robust and fast processing of SAR data. His research comprises the automatic detection and classification of ship signatures on SAR imagery. As PhD student at Helmut Schmidt University, Hamburg he also elaborates on the automatic recognition of ship’s wake signatures of moving vessels.

Statement about the lead project "Research Data Management and Data Science"

"Björn Tings will provide his experience in the field of Artifical Intelligence to the Research Data Working Group of the U Bremen Research Alliance."

Contact: bjoern.tings(at)dlr.de