BDSi - Behavioural Data Science incubator

Science is concerned with uncovering causal relationships. This can be done with randomized controlled trials. However, in particular in the social sciences, more often than not only observational data is available, as randomized controlled trials...

#causality

#causal networks

#observational data

Data Science Week: Retake

Anna Machens

 

and 

Karel Kroeze

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

Tidy Data Wrangling

Karel Kroeze

A one hour introduction to the 'tidy' approach to preparing raw data for analysis.

#beginner

#r

#tidyverse

#data wrangling

Introduction to Data Visualization

Karel Kroeze

A forty-five minute tour of creating visualizations in R.

#beginner

#r

#visualization

Introduction to Machine Learning

Anna Machens

A short introduction to the basics of machine learning.

#beginner

#r

#machine learning

Causal Inference Paper Club

Anna Machens

Following the large interest of our webinars on Causal Inference, BDSi is organizing a paper reading club on Causal Inference. We want to give a more extended insight into the field by organizing a paper club. Using the materials and reading list...

#reading club

#causality

#causal networks

#observational data

Shiny - Interactive visualizations in R

Karel Kroeze

A picture says more than a thousand words. But can you have a conversation with a picture? With R and Shiny, you can! BDSi is organizing a workshop on creating interactive visualizations with R and Shiny. In one afternoon, we’ll quickly introduce...

#workshop

#r

#shiny

#interactive visualizations

#reactive programming

#visualizations

#research

#education

#interactive documents

#interactive reports

Analysis of time-intensive longitudinal data

Stéphanie van den Berg

Data are increasingly collected in a continuous or semi-continuous fashion. Think of heart rates, blood sugar levels, all sorts of sensor data, wifi tracking, and self-report data. In collaboration with MST and ZGT hospitals, BDSi will organise tw...

#workshop

#time-intensive

#longitudinal

#theory

#methods

#analysis

#r

Data Science Week - Summer 2022

Anna Machens

 

and 

Karel Kroeze

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

#data science week

#workshop

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

Tidy Data Wrangling

Karel Kroeze

A one hour introduction to the 'tidy' approach to preparing raw data for analysis.

#beginner

#r

#tidyverse

#data wrangling

Introduction to Machine Learning

Anna Machens

A short introduction to the basics of machine learning.

#beginner

#r

#machine learning

Introduction to Data Visualization

Karel Kroeze

A forty-five minute tour of creating visualizations in R.

#beginner

#r

#visualization

ChatGPT: chances and challenges in education

Anna Machens

chatGPT is bringing massive disruption to the sector of education. It can write essays, answer exam questions or write code better than many students or educators, but it can generate misleading information.BDSi organises a short seminar about cha...

#panel discussion

#chatgpt

#ai

#education

#cheating

Data Science Week - Spring 2023

Anna Machens

 

and 

Karel Kroeze

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

#data science week

#workshop

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

Tidy Data Wrangling

Karel Kroeze

A one hour introduction to the 'tidy' approach to preparing raw data for analysis.

#beginner

#r

#tidyverse

#data wrangling

Introduction to Machine Learning

Anna Machens

A short introduction to the basics of machine learning.

#beginner

#r

#machine learning

Introduction to Data Visualization

Karel Kroeze

A forty-five minute tour of creating visualizations in R.

#beginner

#r

#visualization

Women in Data Science Twente

Martina Ivich Jijon

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

#data science

#women

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

#explainable ai

#health care

Data Science Drinks

Join us for an evening of connections and conversations at our Start of Year Drinks event

Data Science Week - Summer 2023

Anna Machens

 

and 

Karel Kroeze

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

#data science week

#workshop

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

Tidy Data Wrangling

Karel Kroeze

A one hour introduction to the 'tidy' approach to preparing raw data for analysis.

#beginner

#r

#tidyverse

#data wrangling

Introduction to Machine Learning

Anna Machens

A short introduction to the basics of machine learning.

#beginner

#r

#machine learning

Introduction to Data Visualization

Karel Kroeze

A forty-five minute tour of creating visualizations in R.

#beginner

#r

#visualization

Women in Data Science Week

Stéphanie van den Berg

, 

Anna Machens

, 

and 

Karel Kroeze

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

#data science week

#women in data science

#wids

#equity in healthcare

#equity

#healthcare

#oncology

#datathon

#workshop

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

Workshop Shiny for education and valorization

Karel Kroeze

A picture says more than a thousand words. But can you have a conversation with a picture? With R and Shiny, you can! Overview BDSi is organizing a workshop on creating interactive visualizations with R and Shiny. In one afternoon, we’ll quickly ...

#workshop

#r

#shiny

#interactive visualizations

#reactive programming

#visualizations

#research

#education

#interactive documents

#interactive reports

Generalizing Behavior Prediction Models from VR Experiences

Yue Li

 

and 

Funda Yildirim

You are warmly invited to the BDSI Extended Reality (XR) meeting on December 18th, in Capitool Room 307. During this meeting, Yue will give a presentation on “Generalizing Behavior Prediction Models from VR Experiences”, focusing on optimal method...

#xr community

#xr/extended reality

#vr/virtual reality

#behavior prediction models

#multi-modal data

Data Science Week Spring 2025

Stéphanie van den Berg

, 

Anna Machens

, 

and 

Karel Kroeze

An interactive, educational and fun week of data crunching and modelling, lunch workshops, inspiring speakers, and networking opportunities open to anyone affiliated with the UT interested in Data Science.

Events

Workshops, Seminars, and other events

Upcoming events

Past events

debug

Anna Machens

Karin Groothuis-Oudshoorn

,

Stéphanie van den Berg

,

Karel Kroeze

,

and

Anna Machens

#beginner

#intermediate

#expert

#r

#python

#statistical learning

#machine learning

Anna Machens

,

Karel Kroeze

,

Karin Groothuis-Oudshoorn

,

and

Stéphanie van den Berg

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

Karel Kroeze

#beginner

#r

#tidyverse

#data wrangling

Anna Machens

#beginner

#r

#machine learning

Karel Kroeze

#beginner

#r

#visualization

Anna Machens

#causality

#causal networks

#observational data

Anna Machens

and

Karel Kroeze

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

Karel Kroeze

#beginner

#r

#tidyverse

#data wrangling

Karel Kroeze

#beginner

#r

#visualization

Anna Machens

#beginner

#r

#machine learning

Anna Machens

#reading club

#causality

#causal networks

#observational data

Karel Kroeze

, 

, 

, 

and 

, 

, 

, 

and 

and 

and 