Snellius building, Room 157b
Phone: +31 (0)71 - 527 7143
E-mail: takesfw@liacs.leidenuniv.nl


Roeterseiland campus, Room B9.00
Phone: +31 (0)20 - 525 7385
E-mail: takes@uva.nl

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You are visiting my personal academic webpage.
Currently, I work both at Leiden University and at the University of Amsterdam.

In Leiden I work as a lecturer in the Algorithms and Software Technology research programme at the Leiden Institute of Advanced Computer Science (LIACS), the computer science department within the Faculty of Science of Leiden University. I teach a master course on Social Network Analysis in the fall semester and a bachelor course on Business Intelligence in the spring semester.

In Amsterdam I work as postdoctoral researcher in the CORPNET research group, which is part of the Amsterdam Institute for Social Science Research (AISSR) and hosted within the Faculty of Social and Behavioral Sciences of the University of Amsterdam. Within the CORPNET project I work in an interdisciplinary team on the analysis of large-scale corporate and economic network data. The over-arching theme of my research is computational network science.

Photo of Frank Takes

Quick links

Faculty Award for Teaching 2016
January 10, 2017

I was pleasantly surprised to receive the "Teacher of the Year 2016" award from the Faculty of Science of Leiden University. I gratefully thank the students who nominated me, as well as those who have chosen to finally elect me as the winner. If you have any suggestions as to how I can spend the EUR 2500 associated with this award on teaching-related activities, let me know!

Symposium: Role of the Netherlands in offshore finance
November 29, 2016

With the UvA CORPENT group we are organzing a mini-symposium for academics, journalists and ngo's at SPUI25 in Amsterdam. The event relates to our recent work on corporate ownership networks in which we found that the Netherlands is the largest foreign investment conduit in the world, i.e., the Netherlands is used by multinationals to invest in other countries, and to transfer profits across their corporate structures. Registration is required.

Enriching official economic statistics using data-driven modelling techniques
October 2016

This newly started research project aims to investigate data-driven modelling techniques from both computer science and econometrics in order to devise new methods, techniques and algorithms for determining official economic statistics. The project is a collaboration between Centraal Bureau voor de Statistiek (CBS), the University of Amsterdam and Leiden University.

Symposium: Leiden Networks Day
September 23, 2016

I am involved in organizing the Leiden Networks Day, a one-day symposium about complex network analysis covering topics from network science to complex systems. It's free and has some great international speakers lined up!

Course: Social network analysis
Fall 2016

In the fall of 2016, I will for the 3rd year teach the course titled "Social Network Analysis for Computer Scientists" for master students in the Computer Science program at Leiden University. The course deals with topics such as algorithms for computing network topology, network knowledge discovery, and network data structures. Students work with real-world social network data and learn how to conduct scientific research in the area of network science.

LSE Business Review: Network science shows London is at the heart of the world's corporate elite
June 13, 2016

I wrote a blog post about understanding the corporate elite through network science, focussing on the position of the United Kingdom and London in light of the recent Brexit referendum. It was featured by London School of Economics Business Review. The blog post is based on a paper that we wrote in the CORPNET group.

Last modified: April 24, 2017 @ 09:19:00.