Dr. Annika B. Bergbauer
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 worked in an agile manner.
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. They published an NBER Working Paper, 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.
This is the interview podcast peaking behind the scenes of data analysis of business and academia.
I aim enabling you to take better, evidence-based decisions.
Episode 33 – Fake news – Datenaffaire
- Episode 33 – Fake news
- Episode 30 – Corona schadet dem Lernen
- Episode 32 – Die Stadt der Zukunft
- Episode 31 – Missverständnisse der DSGVO
- Episode 29 – Wie erforscht man die Zukunft ?
- Episode 28 – How to conduct chemical experiments
- Episode 27 – Maschinelles Lernen in Behörden
- Episode 26 – How do rural households live?
- Episode 25 – Eine Datenplattform bauen
- Episode 24 – Find the right doctor