English

Photo: Jan Mühlbauer

This is the interview podcast apeaking behind the scenes of data analysis of business and academia.

Dr. Annika B. Bergbauer

Tech economist

Annika Bergbauer holds a Ph.D. in economics by the LMU Munich and is a data expert. She works as consultant in the Munich area.

Annika Bergbauer works as data scientist and develops concepts, strategies, and trainings. She has realized projects in controlling with causal analysis and predicition of KPIs, in classic IT project management and administred an expert network of the European Commission, „European Expert Network on Economics of Education (EENEE)“. As former resarcher, she has always approached her projects in an agile way.

Her book „Conditions and consequences of education – microeconometric analyses“ was published in the ifo Beiträge zur Wirtschaftsforschung, in 2019. At the ifo Institute in Munich, Annika Bergbauer researched the economics of education with Prof. Ludger Wößmann and Standford professor Rick Hanushek. Their research is forthcoming in the Journal of Human Resources (Handelsblatt ranked A journal in economics) and already published as NBER Working Paper, and at vox.eu and oekonomenstimme.de. Her single-authored paper was published at Education Economics. Annika Bergbauer started her academic career at the University of Stellenbosch, in South Africa supervised by Prof. Servaas van der Berg. Her South African research is published as Stellenbosch Economic Working Papers and work with the psychologist Dr. Surette van Staden in the International Journal of Instruction and in the South African Journal of Childhood Education.

Annika Bergbauer has presented her research at reknown conferences around the world. She graduated from the University of Göttingen with a Bachelor and a Master degree in economics with semesters abroad in Delhi and Paris.

Her academic career was supported by the Smith Richardson Foundation, several stipends by the DAAD, and the AKB Foundation.

Episode 47 – Explainable AI Datenaffaire

Photo: Private. How can data scientists shed light into the black box of neural networks? How can researchers explain the decisions an algorithm took? Anna Arias Duart is a Ph.D. candidate in artificial intelligence at the Universitat Politècnica de Barcelona and investigates how algorithms takes devcisions. She works with image recognition and visually highlights the parts […]
  1. Episode 47 – Explainable AI
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  3. Episode 45 – Man kann jede Wahl gewinnen
  4. Episode 44 – Ist der Frauenmangel in MINT von Stereotypen getrieben?
Photo: Private

Talk at the University in Ulm in October 2021.

Photo: Jan Mühlbauer

Thesis defense at the ifo Institute in June 2016, in Munich.