BEHAVIOURAL DATA SCIENCE INCUBATOR (BDSI)
Recently, the Behavioural Data Science Incubator (BDSI) started. 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.
The first BDSI webinar will take place 8 October, during lunch hour (12.45 -13.30). BDSI will be introduced with an overview of the services that we can provide, and some examples of ongoing projects. These include web scraping, mining and machine learning.
Want to join the webinar? Please fill in the form at the bottom of this page.
BDSI supports researchers and promote good research practices in all steps of the research cycle:
- grant writing,
- data gathering and governance,
- model building, training and validation,
- visualisation and reporting.
We plan to organise courses, workshops and networking events on these topics, and provide training in the R and Python programming languages on all skill levels. By building a strong community, we aim to connect researchers in BMS with each other, with other UT research groups and the outside world.
BDSI is run by representatives from all 4 BMS departments, and two data scientists. If you have questions or ideas, or you want to get involved, contact your BDSI representative:
Karin Groothuis-Oudshoorn, email@example.com (TPS)
Martin Schmettow, firstname.lastname@example.org (DDS)
Abhishta Abhishta, email@example.com (HBE)
Robert Marinescu-Muster, firstname.lastname@example.org (HIB)
Stéphanie van den Berg (chair), email@example.com