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
- Business and society, sustainable transformation (Monitor Unternehmensengagement, ZiviZ gGmbH, Arbeitsmarkintegration, JP Morgan, Nigerian Corporate Governance Index, Business Action Against Corruption Africa)
- culture (Global Report UNESCO, IFCD Council of Europe, Cultural Value Project Hertie School of Governance),
- civil society (Engagement barometer ZiviZ gGmbH, Civil Society Enabling Environment Index CIVICUS, Civil Society Index CIVICUS, Global Civil Society Index HSoG, Comparative Nonprofit Sector Project John’s Hopkins University, Civil Society Monitor NRU-HSE),
- governance (Berggruen Index of Governance – UCLA/Hertie School of Governance , European Governance Monitor - Dahrendorf Forum, The Governance Report - HSoG; Good Governance Index – CoE, Berggruen Index of Governance - HSoG)
answering the following questions:
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 www.bettermeasured.world