The aim of BDSI is to spark innovation and collaboration in data science that involves human behaviour: to accelerate and inspire data-driven research within BMS that uses statistical models, machine learning or simulation techniques.
BDSI will support researchers and promote good research practices in all steps of the research cycle:
- data gathering and governance,
- model building, training and validation,
- visualisation and reporting.
The services we provide can be categorized into three overlapping areas: research support, community building, and knowledge sharing. We organise courses, workshops and networking events on these topics, and provide training in the R and Python programming languages on all skill levels. We support the writing of research grants. By building a strong community, we aim to connect researchers in BMS with each other, with other UT research groups and the outside world.
We organise courses, workshops and networking events on these topics and provide training in the R and Python programming languages on all skill levels. We support the writing of research grants. By building a strong community, we aim to connect researchers in BMS with each other, with other UT research groups and with the outside world.