Researchers of JADS participate in several (international) projects, which contribute to grand societal challenges like health, food security, smart transport and secure societies. Together with companies, government, NGO’s and other knowledge institutions they work on solutions by using data. On this page you can find more information on these projects.
The project 'Werkinzicht'
Werkinzicht aims to stimulate the cross-border mobility of job seekers in the southern region of the Netherlands and the Vlaanderen region in northern Belgium. This is achieved by offering clear information on job opportunities in both regions. In this way, supply and demand can be matched. This is done by way of innovative, user-friendly solutions based on the harmonization and visualization of data. The information is made-to-measure for use on dashboards of job seekers, employers, educational institutions, governmental organizations and intermediaries operating in the job market. The project is carried as a collaborative initiative by: CBS, VDAB, Brainport Network, UWV, Steunpunt Werk -KU Leuven, Jheronimus Academy of Data Science (JADS) and ZB|Planbureau. More information can be found here.
As part of the Werkinzicht project JADS and the TU/e co-sponsored the GRC Conference on Heritage and Conservation as a dissemination and exploitation event. The conference was chosen since it coalesces many public administration and NGAs which may be interested in further exploiting project results.
RADON aims at creating a DevOps framework to create and manage microservices-based applications that can optimally exploit serverless
computing technologies. These applications will include fine-grained and independently deployable microservices that can efficiently exploit FaaS and container technologies.
The end goal is to broaden the adoption of serverless computing technologies within the European software industry. The methodology will strive to tackle complexity, harmonize the abstraction and actuation of action-trigger rules, avoid FaaS lock-in, and optimize decomposition and reuse through model-based FaaS-enabled development and orchestration.
The next three years JADS researchers will work on increasing the simplicity, design and runtime effectiveness of pattern-based data-intensive modelling applications and software-defined infastructures in dynamic heterogeneous execution environments. This will lead into improvements regarding the manageability, collobaration and time-to-market.
More information will follow soon.