The important role of Data Science in our current time

MKB Datalab helps Welvaarts Weegsystemen to save transport costs

MKB Datalab helped to optimize the waste disposal process by creating a model that predicts how full an underground container is. Thanks to this insight, Welvaarts Weegsystemen can help waste services dynamically change their route and empty containers more efficiently.

Limiting unforeseen project costs with an Early Warning System

Merford is a specialist in noise control. The prices and duration of their projects vary widely, which makes it difficult to predict the profit margin of projects. Thanks to the Early Warning System MKB Datalab developed, Merford can minimize unforeseen project costs.

VIA ensures safer traffic with the help of the MKB Datalab

VIA is an ICT agency that offers insights into traffic safety statistics through its own software. The MKB Datalab has helped VIA with this by developing an algorithm together to clarify these statistics.

Time Machine street register for the Municipality of Den Bosch

In this project, students created a street register for the Municipality of ‘s-Hertogenbosch. This register contains all current and historic information of the city center of ‘s Hertogenbosch at street level.

River Plastic Monitoring Using Deep Learning and Cameras for Ocean Cleanup

For his thesis Colin van Lieshout researched the concept of enabling automated monitoring of plastic in rivers for The Ocean Cleanup using deep learning.

Creation of start-up Peppermint with the help of Data Entrepreneurship in Action III

At JADS we use the popular lean startup method and emphasize the importance of evidence-based actions. One of the student start-ups created with the help of this method is Peppermint.

Optimizing industrial applications with algorithms and methods

Over the next four years, a consortium of academic and industrial partners, led by JADS and TU/e, will be collaborating to develop an Artificial Intelligence (AI) toolkit, consisting of algorithms and methods, for industrial applications.

Better personnel planning based on weather expectations

For Bakery Royal, students from JADS MKB Datalab worked out a data model that predicts the influence of weather conditions on turnover, and on personnel planning.

Successfully tackling money laundering with data science

JADS, together with Van Lanschot, developed an approach to tackle money laundering using data science
Naturalis biodiversity

Working together to preserve biodiversity at Naturalis

Naturalis Biodiversity Center and JADS are using data science and artificial intelligence for joint research. The goal: preservation of global biodiversity.

Developing a recommender app for de Efteling

A EngD trainee from JADS helped de Efteling develop a recommender app. Thanks to this app, Efteling will be able to better distribute its visitor flows throughout the park.

Analyzing visitor patterns in Het Noordbrabants Museum

During the Van Goghs Intimi exhibition in Het Noordbrabants Museum, JADS conducted a unique experiment that provides insight into the movement and behavioral patterns of visitors to the exhibition - inside and outside the gates of the museum.
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