51. Heidelberger Physik Graduiertentage

ORDER IN A DISORDERED WORLD: HOW (DATA-)SCIENCE HELPS TO REPAIR SUPPLY CHAINS, REDUCE ECOLOGIC FOOTPRINTS AND DIGI-TWIN THE VALUE CHAIN

Team d-fine

For various reasons, our world is out of order in many places today. Examples include broken supply chains, an increasingly unbalanced environment, and processes that could be significantly improved through the sensible application of digitalisation steps. Data science is of course not a panacea for restoring lost order or creating order once and for all, but it can lead to improvements in various places.     

In this year’s lecture series, d-fine will present how our consultants are working with our customers to deal with the challenges of a disordered world. We will present some examples from our work at a wide variety of clients, ranging from logistics to the financial sector, the chemical industry, and the energy sector. In doing so, we will demonstrate why physicists are well suited to handle such tasks in a cross-functional team and give you first-hand insights not only into some business cases, but also into the technological and mathematical concepts of our project work.

• Monday, 09.10.2023, 14:00 - 16:00: Dr Oliver Hein,
  “From physics to finance and beyond”
   
• Monday, 09.10.2023, 16:00 - 17:00: Dr Henriette Kröner,
  “defining d-fine”
   
• Tuesday, 10.10.2023, 14:00 - 17:00: Dr Lisa Löbling and Frederik Meyer,
  “Information along the way - How data analytics and simulation optimize supply chain planning”
   
• Wednesday, 11.10.2023, 14:00 - 17:00: Dr Daniel Herr and Dr Daniel Ohl de Mello,
  “Quantum Machine Learning algorithms to order the world - anomaly detection, hedging & grid optimization”
   
• Thursday, 12.10.2023, 14:00 - 17:00: Lara Kämmerer and Johannes Rehn,
  “Chemistry goes green: from Product Carbon Footprint calculation to automised chemical risk assessment”
   
• Friday, 13.10.2023, 14:00 - 17:00: Christian Bangerl, Dr Robert Beestermöller and Dr Nina Fröhling,
  “How to find Europe’s best way to zero emissions? A science-based modelling approach for our energy future”