An open-source framework for the detailed simulation of epidemics on the basis of social interactions in a virtual population constructed from geographically granular census data, reflecting age, sex, ethnicity, and socio-economic indicators. Interactions between individuals are modelled in groups of various sizes and properties, such as households, schools and work-places, and other social activities using social mixing matrices. The individual-based model provides a suite of flexible parameterisations that describe infectious diseases, how they are transmitted and affect contaminated individuals. So far it has been applied to the modelling the spread of COVID-19 in England and to the Kutupalong refugee camp.


BigBang is a tool for scientific analysis of Internet standards development and Internet governance communities. It can scrape public mailing lists (in Mailman and LISTSERV 16.5 formats) and Github messages and ultimately analyze them using statistical, discursive, and network analysis.


A specialized python package for cosmological simulations based on RAMSES. This contains extensions such as ECOSMOG, to study the effects of novel theories that modify GR on large scales and late times. In addition it is possible to explore arrays of simulations in parallel as it is needed for ray-tracing simulations based on Ray-Ramses.

The functionality of the package includes:


A open-source N-body simulation code for dark-matter only cosmological structure formation for cubic vector Galileon model of the generalised Proca theory (GP) gravity theory. It is implemented in a modified version of the ECOSMOG which is based on RAMSES. It uses adaptive mesh refinement and adaptive time integration to simulate self-gravitating fluids and is massively parallelizable as it makes use of the MPI communication library.

The code has multiple gravitational solvers to choose from, for which one needs to set corresponding values for the four variables extradof, extradof2, extradof3, and extradof4 in namelist/cosmo.nml (default values for these are all .false.) using the following rule:


A open-source ray tracing code to compute integrated cosmological observables on the fly in AMR N-body simulations. Unlike conventional ray tracing techniques, our code takes full advantage of the time and spatial resolution attained by the N-body simulation by computing the integrals along the line of sight on a cell-by-cell basis through the AMR simulation grid. Moroever, since it runs on the fly in the N-body run, our code can produce maps of the desired observables without storing large (or any) amounts of data for post-processing. The ray tracing methodology presented here can be used in several cosmological analysis such as Sunyaev-Zel’dovich and integrated Sachs-Wolfe effect studies as well as modified gravity. Our code can also be used in cross-checks of the more conventional methods, which can be important in tests of theory systematics in preparation for upcoming large scale structure surveys.