I am a computational social scientist specializing in network methods. In my dissertation I study corruption and collusion in public procurement markets modeled as complex networks. I am also interested in the use data from the web to better understand the emergence of concepts like novelty or bias. I've been a visiting researcher at the Oxford Internet Institute and the Hertie School of Governance in Berlin.
November 2018 - Visting Agnes Horvat at Northwestern.
Gender Differences in Participation and Reward on Stack Overflow
Anna May, Johannes Wachs, Aniko Hannak
Social capital predicts corruption risk in towns
Johannes Wachs, Taha Yasseri, Balázs Lengyel, János Kertész
The Role of Novelty in Securing Investors for Equity Crowdfunding Campaigns
Emőke-Ágnes Horvát, Johannes Wachs, Rong Wang, Aniko Hannak
AAAI Conference on Human Computation and Crowdsourcing (HCOMP'18), Zurich, Switzerland, 2018
And Now for Something Completely Different: Visual Novelty in an Online Network of Designers
Johannes Wachs, Balint Daroczy, Aniko Hannak, Katinka Pall, Christoph Riedl
Proceedings of the 10th ACM Conference on Web Science (WebSci'18), Amsterdam, May, 2018.
Corruption, government turnover, and public contracting market structure – Insights using network analysis and objective corruption proxies
Mihály Fazekas, Jiří Skuhrovec, Johannes Wachs
Government Transparency Institute Working Paper GTI-WP/2017:02, September 2017.
Why Do Men Get More Attention? Exploring Factors Behind Success in an Online Design Community
Johannes Wachs, Aniko Hannak, Andras Voros, Balint Daroczy
Proceedings of the 11th International AAAI Conference on Weblogs and Social Media (ICWSM'17), Montreal, May, 2017.
Using Big Data for social science research, teaching assistant, CEU Spring 2017
Data Mining, course instructor, AIT Fall 2016
Scientific Python, teaching assistant, CEU Fall 2016, 2017
MS Applied Mathematics, Central European University (2012)
BS Mathematics, BS Economics, Tulane University (2009)
johanneswachs at gmail dot com