Podcast Series - 2 Scientists Meet...
What happens when two scientists from completely different fields collaborate? What challenges do they face? What synergies arise, and why do they do it at all?
The podcast series "When Two Meet" introduces researchers working in interdisciplinary and transdisciplinary projects. The scientists are interviewed by Philipp Spitzer, who, as a chemist, physicist, and science communicator, might bring in additional perspectives.
Why do historians need artificial intelligence? And what do the liquidity problems of an Austrian emperor have to do with maps? And why is Karl Nehammer listed in Sissi's phone book? Historian Wolfgang Göderle (Institute for Digital Humanities, University of Graz) and Roman Kern (Institute of Human-Centred Computing, Graz University of Technology) talk about this in the fourth episode of our podcast.
The money worries of an emperor
Wolfgang Göderle and Roman Kern explain how Emperor Franz II's liquidity problems led to a gigantic administrative project, the Franziszeische Kataster, which recorded the empire's buildings, bodies of water, roads and fields on over 600,000 sheets of paper. We also find out how machine learning is being used in the "Reading the Past from the Surface of the Earth" project to link old maps with modern aerial photographs and how this may even enable digital archaeologists to solve the mystery of the location of Noreia.
Sissi's Yellow Pages
The so-called Schematismus - also referred to by presenter Philipp Spitzer as "Sissi's telephone book or the Yellow Pages of the 19th century" - is a court and state handbook that lists over 200,000 people from more than 200 years. The "Unlocking the Schematism" project is dedicated to this directory. In this episode of our podcast, you can find out why no text recognition software (OCR) has yet been able to capture this work, how the team in Graz overcame this challenge and why Karl Nehammer appears in this 200-year-old collection.
You can find out more about Wolfgang Göderle & Roman Kern's projects here:
