Data-driven and participatory modelling storytelling and investigations
Together with my fellow classmate Simona Bisiani I founded computational social journalism
(compscjournalism.org) as a platform to pursue aspirations towards data journalism.
Computational social journalism (CSJ) describes a personal vision of future journalism.
A vision we try to follow in developing projects on this blog. CSJ, as a term, is a reference
to the academic discipline of computational social science. Rising hand in hand with digitalization,
computational social science connects the usage of computers to scientifically display, explain
or analyze a broad range of 'social phenomena'. Personally attached with an interest in digital
journalism and -storytelling and the academic studies of computational social science, we aim
to combine both these fields, naming it computational social journalism. For a large share, these
ideas are close to, and inspired by yet existing data journalism projects and approaches. We aim
to build on this foundation, and expand by further methods within the computational social science nexus.
Both journalistic and academic endeavors brought to front in this blog can be considered within a
learning process: specifically, using digital technologies for desired story-telling approaches
such as Java-Script, R, GIS represent a major, seemingly steep learning curve.
Extending on self-motivated projects, we are curious about cooperations with media outlets,
covering local stories or investigating relevant datasets.
2015-2018: Author at go-to-guys.de covering German league basketball by statistical and
Since 2018: Further publication of basketball statistics-related work on personal website
2015-2017, Eisbären Bremerhaven: Advanced statistical analysis with assistant Coach Chris Harris at Eisbären
Bremerhaven, Germany. Development and testing of methods and approaches to generate and communicate
statistics in a meaningful context with the coaching staff.
2017-2019, S.oliver Würzburg: Continued work on creation of statistics and data visualization that connect to and support
the coaching staff. Focus on lineup statistics and visualization together with Assistant Coach
Basketball Analytics, selected work:
Development of a data-infrastructure and analysis system incorporating
play-by-play and advanced individual data of different European leagues.
Development of a Shiny-based application to analyze various lineup combinations of Basketball Bundesliga teams.
Development of a web-based application to support statistical and game-relevant information
in during games.
Application of advanced shooting analytics to the European context
Machine-learning models in player-scouting
Soccer/Football: Data Analysis of Tracking Data for both academic purposes
(development of a research proposal) and freelance work for a Swedish tracking data provider.
Portfolio available upon request.
Computational Social Science Grad Student at the Institute for Analytical Sociology,
Linköping University, Sweden.
Summer Internship, University of Strasbourg, France: Development of Shiny-based application
(aweSOM) that enables an intuitive usage of self-organizing maps (Kohonen maps).
B.Sc. Environmental system science and geography at University Osnabrück, Germany.
Bachelor thesis: Participatory modelling for investigating the complexity of social,
demographic and cultural issues linked to the Water-Energy-Food Nexus in the Omo-Turkana Basin.
Agent-based Modelling (Fall semester 2019/2020, Institute of Environmental Systems Research, Osnabrueck)
Participatory Modelling (Fall semester 2019/2020, Institute of Environmental Systems Research, Osnabrueck)
Ecological Modelling (Spring Semester 2020 and 2021, Helmholtz Centre for Environmental Research)
Research Assistant: Jan.2019 - July 2019: Research assistant at IUSF on the DAFNE project.
I participated in the DAFNE research throughout my Bachelor thesis at the Institue for environmental systems
research at University Osnabrück. The thesis investigated links and complexity between the WEF Nexus and
social, demographic and cultural variables in the Omo-Turkana Basin (one of the case studies in DAFNE) using
a participatory modelling approach. The research included a research trip to Kenya and Ethiopia to conduct interviews
with decision-makers in the respective ministries as well as other non-governmental organizations.
Following up, I worked on the DAFNE project as a student research assistant.