Geoflow visualizer
Visualizes any type of flow between countries. Takes a CSV as input, applies filtering and aggregation (danfojs) to show relations and data in a number of visualizations (d3.js)
An interactive web-based platform to investigate the dynamics of global corporate networks
Frank Takes from the University of Amsterdam has won the Young eScientist Award 2017. The prize aims to stimulate a young scientist demonstrating excellence in eScience: the development or application of digital technology to address scientific challenges. The prize was used to undertake a joint research project, in which Takes received support by eScience Research Engineers (experts in the development and application of research software).
Takes and his fellow researchers at the University of Amsterdam’s CORPNET group focus on understanding corporate networks, structures that provide insights in topics such as business elites and tax avoidance via offshore finance. The latter has been a hot topic in recent years, especially with large companies moving offshore from their ‘home’ nation for the purpose of tax avoidance.
Together with the eScience Center, Takes developed innovative methods for analyzing large board-interlock networks, that is networks of companies, connected through common directors. The methodology developed in this project is generic and aimed towards reliability and reproducability.
Tracking and visualizing states as fossil-fuel owners
Transparency in the Netherlands’ Nonprofit Sector
A framework for deep semantic analysis of mobile news consumption traces
Ego Documents Events modelling – how individuals recall mass violence
Advancing media history by transparent automatic genre classification
Gaining insights in the use of Twitter by politicians and journalists
Discovering new patterns in Dutch court decisions
Searching public discourse
Analysis of social media messages
Visualizes any type of flow between countries. Takes a CSV as input, applies filtering and aggregation (danfojs) to show relations and data in a number of visualizations (d3.js)
SPOT is an interactive visualization tool for multi-dimensional data. It allows quick analysis of complex datasets and easy identification of correlations between variables.