BGR Bundesanstalt für Geowissenschaften und Rohstoffe

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International Conference on Big data and machine learning (ML) in geosciences

Logo Big data and machine learning in Geosciences Conference at BMWi in Berlin, 20-21 Feb 2020 by BGR

The Federal Institute for Geosciences and Natural Resources (BGR), with kind support of the German Federal Ministry of Economic Affairs and Energy (BMWi), was hosting the inaugural international “Big data and machine learning in geosciences” conference, taking place on February 20-21, 2020 in Berlin.

This conference brought together experts developing and applying machine learning methods in all fields of the geosciences and related disciplines, with contributions from academia, governmental organizations and industry. With this conference, we wanted to discuss challenges and opportunities in managing big data and natural resources in the light of global climate change and energy transition.

The program provided lectures by invited speakers from academia, governmental organisations and industry, such as:

  • Earth Science Analytics, Norway
  • Fraunhofer Institute for Intelligence Analysis and Information Systems, Germany
  • German Aerospace Center, Germany
  • Google, UK
  • Lisbon Council - European AI Alliance, Belgium
  • Munich Re, Germany
  • Osisko Gold Royalities, Canada
  • Pennsylvania State University, USA
  • Tom Tom, Germany
  • TU Berlin, Germany
  • University of Minnesota, USA

How does a changing world challenge geosciences? What is the impact of escalating computational power, economic, ecological and societal changes accompanied by data explosion – growing varieties, large in volume and continuously accelerated? Which influence have big data and artificial intelligence (AI) on geoscience? Which opportunities do they offer to geoscientists?

The conference highlighted these issues by giving a platform for outstanding experts in the field of big data and machine learning. We highly appreciated the contributions from academia, governmental organizations and industry.

February 20 addressed big data and AI applications in a global perspective with keynotes from selected issues. Invited talks introduce the current state and describe future tracks of machine learning (ML) technologies for geospatial applications. The experts join for a moderated plenary discussion on “How AI is changing the game”.

February 21 focused on specific applications of ML in geosciences with invited talks on mineral and petroleum exploration, groundwater and soil science, Earth data mining and geohazard assessment. The experts join for a moderated plenary discussion on “Challenges and opportunities in geosciences”.


Downloads

Conference Flyer

Conference Videos and Presentations

Conference Programme


Organizing committee

Dr. Gabriela von Goerne
Tanja Wodtke
Dr. Stefan Broda
Hans-Gerrit Möws
Dr. Hendrik Müller


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