The important role of Data Science in our current time

Naturalis biodiversity
AgriFood & Nature

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.
recommender EngD (formerly PDEng)

Developing a recommender app for de Efteling

A EngD (formerly PDEng) 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.
MKB Datalab Sensors

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.
nature and data science
EngD (formerly PDEng) AgriFood PhD

Meeting the demand for data professionals in the AgriFood sector

FARM-IT focusses on meeting the demand for data savvy professionals in the agri-food sector. JADS is involved in FARM IT through a minor agri-food, e-learning, professional education, collaborations

Developing technologies that allow AI to be used in a responsible way

The upsurge in AI and machine learning technologies offers an enormous potential to develop predictive tools for industry. The overall objective of the AI-lab is to facilitate the use of modern AI technology by industry in a responsible way.

Finding the unknown

Helping people by recommending the unknown​. Most recommender systems - also those used by such giants as Google and Spotify - a…
EngD (formerly PDEng) AgriFood PhD

Making SMEs in the AgriFood domain data savvy

As part of the " Regio Deal Noordoost Brabant" project, researchers and students in co-operation with entrepreneurs are developing facilities to make SMEs in the AgriFood domain data-savvy.
EngD (formerly PDEng) AgriFood PhD

VISOR - research for smart event safety

The VISOR project focuses on the analysis, detection and prediction of behaviour of large crowds.
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