Explore projects

to be edited later

R package to perform diagnostics, characterization, and incidence rate calculation for PIONEER studyathon 3

Patient Level Prediction package for PIONEER studyathon 2022

Patient level prediction package to predict symptomatic progression and death for metastatic hormone sensitive prostate cancer patients

Originally imported from https://github.com/oxford-pharmacoepi/OPTIMA_PhenotypeR

Collection of Rmarkdown files to pre-process multiple omics data sets and to build MEFISTO multi-omics models within the CEFIC LRI project XomeTox

GNU R Package for working with CRNS (cosmic ray neutron sensor data)

(latest) A workshop on how to use containerized solutions for scientific projects using Docker as an example.

Viable North Sea (ViNoS) is an Agent-based Model (ABM) of the German Small-scale Fisheries. As a Social-Ecological Systems (SES) model it focusses on the adaptive behaviour of fishers facing regulatory, economic, and resource changes. Small-scale fisheries are an important part both of the cultural perception of the German North Sea coast and of its fishing industry. These fisheries are typically family-run operations that use smaller boats and traditional fishing methods to catch a variety of bottom-dwelling species, including plaice, sole, and brown shrimp.

Fishers in the North Sea face area competition with other uses of the sea---long practiced ones like shipping, gas exploration and sand extractions, and currently increasing ones like marine protection and offshore wind farming (OWF). German authorities have just released a new maritime spatial plan implementing the need for 30% of protection areas demanded by the United Nations High Seas Treaty and aiming at up to 70 GW of offshore wind power generation by 2045. Fisheries in the North Sea also have to adjust to the northward migration of their established resources following the climate heating of the water. And they have to re-evaluate their economic balance by figuring in the foreseeable rise in oil price and the need for re-investing into their aged fleet.