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8 Million Euro in Funding for Two New Doctoral Training Networks

Published on 12. Juni 2020, 15:37 h

Bielefeld University coordinating programmes in computer science and economics

The European Commission has funded two new doctoral training networks for early career researchers at Bielefeld University. Over the next four years, doctoral researchers in computer science will be investigating how genomes can be sequenced and analysed, and doctoral researchers in economics will be developing computer-assisted methods of political analysis for the areas of climate change and innovation. Both programmes have been awarded close to eight million Euro in funding. In addition to this, two more doctoral training networks in which Bielefeld University is participating have also been approved: one in personalised service robotics, and the other in social work.

Doctoral training networks bring together universities, research institutions, and companies. The purpose of these networks is to train outstanding early-career researchers in a structured manner within the framework of excellent research pro-jects.

Computer Science Network: Graphically Representing Genomes

Computer scientist Prof. Dr. Alexander Schönhuth is coordinating the research network on pangenomics. Photo: Biele-feld University/M.-D. Müller
Computer scientist Prof. Dr. Alexander Schönhuth is coordinating the research network on pangenomics. Photo: Bielefeld University/M.-D. Müller

In the field of pangenomics, researchers compare the genome of a single organism with the genomic repertoire of all strains within a species. This method can be used to differentiate, for instance, between pathogenic and harmless variants of a virus. ‘Genomes, however, sometimes consist of billions of units of information. We are asking the pressing question of how to arrange and analyse these massive volumes of data in a computationally efficient and biomedically sound manner,’ explains data scientist Professor Dr. Alexander Schönhuth of Bielefeld University’s Faculty of Technology and the Center for Biotechnology (CeBiTec). Dr. Schönhuth is coordinating the new research network “Algorithms for Pangenome Computational Analysis“ (ALPACA for short). The European Commission has provided the programme with 3.67 million Euro in funding.

Genomes have traditionally been depicted as strings of letters. ‘But this sequence-based representation is time consuming to analyse because genomes often only differ in relatively small blocks of letters,’ says Schönhuth. ‘Graphical representation, in contrast, allows us to remove superfluous information without ignoring the individual differences. This type of graphical analysis is a paradigm shift in pangenomics.’

In the new network, doctoral researchers will investigate this graphic approach to representing genomes and will also share their insights with industry. The network brings together Bielefeld University, the Centre National de la recherche scientifique (CNRS, France), the Institut National de Recherche en Informatique et Automatique (INRIA, France), the University of Milano-Bicocca (Italy), the Centrum Wiskunde & Informatica (CWI, the Netherlands), the Heinrich Heine University Düsseldorf, the European Molecular Biology Laboratory (EMBl-EBI), the Comenius University (Slovakia), the Institut Pasteur (France), the University of Cambridge (United Kingdom) and the company “Geneton” (Slovakia).

Economics Network: Analysing Economic Policy Challenges
Economist Prof. Dr. Herbert Dawid is coordinating the research network on economic modelling. Photo: Bielefeld University
Economist Prof. Dr. Herbert Dawid is coordinating the research network on economic modelling. Photo: Bielefeld University

‘The most significant economic and social challenges facing Europe today are characterised by complex, dynamic structures,’ says Professor Dr. Herber Dawid, from the Faculty of Business Administration and Economics at Bielefeld University. Dr. Dawid, an economist, is coordinating the new research network “Economic Policy in Com-plex Environments.” ‘One example that stands out here is the search for appropriate political strategies to curb climate change. Sound economic policy in an area such as this requires in-depth, dynamic analysis in order to adequately grasp and take into account the complexity of the problem.’ The programme is being funded with a total of 3.98 million Euro.
The early career researchers in this new economic policy doctoral training programme will advance current techniques and enhance the applicability of computationally intensive methods for decision-making and policy analysis, applying them in the fields of climate change and innovation. ‘For this, they will be trained in data science, network theory, agent-based simulation, and economic policy modelling, and can then take this specialized knowledge and apply it to their own individual research projects,’ says Dawid.

Their academic education will be complemented with training activities from 10 non-academic partner institutions. Members of the consortium include six universities in addition to Bielefeld University: the University of Amsterdam (the Netherlands), the Autonomous University of Barcelona (Spain), the Catholic University of Milan (Italy), the University of Copenhagen (Denmark), the University of Paris 1 Pantheon-Sorbonne (France), and the University of Venice (Italy). Each early career researcher in this network is enrolled at two universities and will receive a dual degree upon completion of their studies.

Participating in Networks on Personalised Service Robotics and Social Work

Two further doctoral training networks in which Bielefeld University is participating were also granted approval. One of these networks is called “Personalized Robotics as Service-Oriented Applications” (PERSEO for short), and is coordinated by Prof. Dr. Silvia Rossi from the University of Naples (Italy). Bielefeld Professor Dr. Friederike Eyssel participates in this network with her research group “Applied Social Psychology and Gender Research,” which is part of Bielefeld University’s Department of Psychology and the CITEC Institute. In this doctoral training network, early career researchers from the fields of computer science, philosophy, and psychology will study how robotics technology can be personalized at the level of physical, cognitive, and social aspects.

The second network is called “Applying Sustainability Transition Research in Social Work Tackling Major Societal Challenge of Social Inclusion” (ASTRA for short), and is being coordinated by Professor Dr. Aila-Leena Matthies from the University of Jyväskylä (Finland). Bielefeld Professor Dr. Holger Ziegler is participating with his research group “Social Work” for the Faculty of Educational Science. The early career researchers in this network will investigate how social work can contribute to socio-economic change that has a lasting impact and improves the standing of various groups in Europe, including vulnerable youth, migrants, and local communities subjected to precarious living conditions.

Innovative Training Networks

The EU framework research programme “Horizon 2020” is funding the networks as part of the Marie Skłodowska-Curie Innovative Training Networks programme (ITN). With the approvals of these new networks, Bielefeld University is now participating in a total of 16 ITNs. ITNs conduct research in the fields of chemistry, education, computer science, physics, psychology, and economics, among other disciplines. Bielefeld University is coordinating five of these networks.

More information is available online at:
•    Press release from the European Commission in funding a total of 147 new Innovative Training Networks (26 May 2020)
•    EU research projects at Bielefeld University
•    Innovative Training Network (ITN)

Prof. Dr. Alexander Schönhuth, Bielefeld University
Faculty of Technology, Innovative Training Network “ALPACA”
Tel: +49 521-106 3362
Email: aschoen@cebitec.uni-bielefeld.de 

Prof. Dr. Herbert Dawid, Bielefeld University
Faculty of Business Administration and Economics, Innovative Training Network EPOC
Tel: +49 521-106 4843
Email: hdawid@uni-bielefeld.de


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