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.
BDSI is run by representatives from all BMS clusters. To find us, go to our team page.
Sophisticated statistical techniques, applying state of the art methods to complicated data and obtaining meaningful insights.
The BDSi Data Science Community is open to everyone related to BMS and interested in data science. Within the community we can share ideas, questions, and expertise with eachother.
Communicate your findings with superior visualizations, giving information a truthful and credible visual context.
We organise workshops and courses related to programming and statistics, and webinars on trends and advancements in data science.
We work closely with the BMS Lab, often collaborating on projects. The BMS lab works to help scientists and students of the social sciences harness the opportunities offered by (new) technologies for research. The lab hosts a wide range of facilities and an even wider range of equipment. This range includes everything from a Virtual Reality (VR) and an EEG lab, to a wide range of sensors and recording equipment.
In a typical collaboration, BMS Lab provides research infrastructure, hardware and software to gather data in a wider range of forms. BDSi then provides the expertise to extract meaning from this data.
Digital Competence Center
The Digital Competence Center (DCC) is a university-wide network of expertise on data science, research data management, digital research infrastructure, tools and software, and digitalization of science. DCC advocates Open Access and FAIR (Findable, Accessible, Interoperable and Reusable) research.
BDSi regularly coordinates with the DCC on ongoing research projects, data science events, and workshops - sharing expertise where possible.
EEMCS High Performance Computing
BDSi is the only non-EEMCS group that has direct access to the EEMCS High Perforamce Computing cluster. Access to this cluster allows BDSi to support researchers with large-scale machine learning and natural language processing tasks.
BDSi is proud to support and be part of Women in Data Science Worldwide’s mission to increase participation of women in data science and to feature outstanding women doing outstanding work.