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eScience

Section VP.1

Section VP.1 coordinates and advises the management and the divisions of BAM on scientific issues regarding digitalization in all fields of research. Modern scientific experiments are characterised by a hitherto unknown wealth of data, so that according to empirical aspects, theory and simulation many fields of research are at a transition to a data driven science.

An interesting aspect in this context – also for BAM – concerns the integration and analysis of multimodal data (from different measuring equipment or entire sensor networks), whose temporal and spatial correlation hold a high information content.

BAM supports the transition to data driven science by two competence centers “modelling and simulation”, “data analysis” as well as by the section “eScience”.

  • Fields of expertise

    • Communication and coordination in interdisciplinary projects with a digital focus
    • Data science with machine learning tools, optimisation methods and data mining methods
    • Methods of artificial intelligence, machine learning or advanced statistical methods
  • Main activities

    • Internal research data management
    • Organisation and conception of structures for reference data of BAM according to decree
    • Support in software development for data analysis and statistics
    • Development of software prototypes for implementation of scientific questions
    • Support of third-party funded research projects related to data science
  • Publications of the division

    In the database PUBLICA you will find publications by BAM employees.

    PUBLICA

Contact

Dr. rer. nat. Philipp Benner

Head (temporary in charge) of eScience

+49 30 8104-3647

BAM is a senior scientific and technical Federal institute with responsibility
to the Federal Ministry for Economic Affairs and Energy.

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