Bio

I am a computational social scientist doing research at the poltextLAB within Centre for Social Sciences, Budapest. I am also providing text analysis and data analysis consultancy to the International Monetary Fund’s Independent Evaluation Office. My main research interest is the application of quantitative text analysis and other big data methods in the political economy field.

I employ a wide variety of methods in my research, particularly automated text analysis (and attached various machine learning approaches), network analysis and more traditional econometric techniques. I also happen to teach some of these in R as well. Most of my courses and workshops are open sourced and can be accessed via my GitHub page.

Current Positions

2020 - Present | Consultant | International Monetary Fund, Washington DC.

2019 - Present | Research Fellow | PoltextLAB, Centre for Social Sciences, Budapest

Education

2015 - 2019 | PhD, Political Science | Central European University, Budapest

2018             | Visiting PhD Researcher | KU Leuven, Leuven

2016 - 2017 | Advanced Certificate, Network Science | Central European University, Budapest

2014 - 2015 | MA, International Political Economy | Central European University, Budapest

Contacts

• See the left for social media
• Otherwise: mate.akos at tk.hu