work
Open Data Science
Collect, process, re-fine, analyze and publish data coming from networks, the web or spatial information.
I use an open source stack and love to work with open data. Domain knowledge in geography, computational social science, systems science and network science.
Advanced skills
- Python: Jupyter Notebook, Pandas, networkX
- postgreSQL + postGIS + pgRouting
- Tools: QGIS, git + github
- Data: OpenStreetMap, Wikipedia
- Methods: Network Analysis, Spatial Analysis, Cartography, Data Visualization
Basic skills
- Tools: GRASS GIS, Flask, API’s, C/C++, R, LaTeX, Docker, JavaScript
- Data: Landsat, Twitter
- Methods: Agent-based modeling, Machine Learning, Game Theory, Remote Sensing, System Dynamics, Actor Network Theory, Scientific Writing
Examples
- Scraper: armScraper, aidScraper and lobbyScraper.
- VU Angewandte Grundlagen: Catchment-area analysis with public transport data from OpenStreetMap.
- SE Networks: Bi-partite networks with Python.
Workshops
Design and conduct trainings, workshops around topics like Open Science, Open Data, Data Science, GIS, Network Analysis and Text Data Mining.
ContentMine
Training manager at ContentMine and part of the EU Horizon 2020 Project FutureTDM. Developing and conducting trainings for content mining.
Open Science
Educate students and researchers on different aspects of open science.
- Big Data and Open Data Course @ FH Joanneum Graz
- Tag der Befreiung der verlorenen Seminararbeiten: Freeing up your thesis.
Others
- Map your Hood: Open Street Map Mapping Party.
- Open up your Zwölfmalgrein: Neo-Geography workshop at the Transart Art-Festival in Bozen.
Webdesign
Developing responsive wordpress-themes using HTML5, CSS3 and JavaScript.
References
