Chair for Statistics and Data Science in Social Sciences and the Humanities (SODA)

Breadcrumb Navigation


Olga Kononykhina


Ludwigstr. 33
80539 M√ľnchen

Office hours:
By appointment

Short description

Olga Kononykhina is a a quantitative sociologist and a data scientist. She has joined LMU to gain her PhD and is working to invent “tinder for jobs” - New Methods for Job and Occupation Classification.

For the past 14 years she has been working on major national and international data-driven research projects in the fields of

answering the following questions:

what is the role of business in society
how business is engaged in sustainable transformation
how to measure performance of public institutions and compare it in between countries,
what are the drivers of good governance,
what is a cultural diversity and how to measure it,
how to measure impact/value of projects,
how culture can drive democratic development,
how to define and measure enabling environment for civil society,
what is a critical capacity of a non-profit sector and how one can measure it etc.

She is proficient in R, Shiny apps, vague concepts operationalization, indices/indicators development, data visualizations. She had taught courses in data analysis, text analysis, cluster analysis, foundations of probability theory for social scientists.

She has worked in academia (Hertie School of Governance, Germany; CSI Heidelberg University, Germany; John’s Hopkins University, USA; NRU-HSE, Russia); non-profit sector (CIVICUS, South Africa); and collaborated with various organisations (including UNESCO, Council of Europe, Goethe Institut, British Council) . She holds BS in Sociology and MS in Applied Mathematics and Computer Science.

She continues working part time at ZiviZ gGmbH as a data scientist and is involved in data consulting projects. Her full portfolio can be found at