Results 2022-1 JUMP Call

The FNR is pleased to communicate that 3 of 4 eligible Proof of Concept projects have been accepted in the 2022-1 JUMP Call, an FNR commitment of 686,000 EUR. The next JUMP deadline is 30 September 2022.

The FNR JUMP programme is a competitive funding programme, open to all research domains, that is designed to help bridge the technical and funding gap between research-driven discoveries and their commercialisation/utilisation, thereby enhancing the impact of Luxembourg’s research on economy and society.

Go to JUMP programme page 

Funded projects

Principal Investigators

Michail Papadakis

Yves Le Traon

Project title

Holistic System for End-2-End tests (IKORA)

Host institution

University of Luxembourg (SnT)

FNR committed

250,000 EUR

ABSTRACT

With Ikora, we propose a solution to assist test automation engineers in the development of end-to-end tests by providing tooling to analyze their quality. Then, relying on clean and robust tests, Ikora generates clear and tailored reports that provide quality information.

Principal Investigator

Carlo Duprel

Project title

Commercialisation of an application for requirements engineering (DRONA)

Host institution

University of Luxembourg (SnT)

FNR committed

187,000 EUR

ABSTRACT

Requirements engineering is one of the most crucial stages in software design and development, as it addresses the critical problem of designing the right software for the customer. Nearly 50 % of cases of budget overruns and delays in IT projects (ex: software development, process adjustments, building new features, etc.) are caused by insufficient and poor requirements.

Drona is an application for (1) defining, modelling, and optimizing technical requirements, (2) reconciliation between requirements models and automated generation of full deliverables, as well as (3) acceptance criteria drafting. Drona is a plugin fully integrated into Enterprise Architect – a software system modelling platform used by more than 170K companies worldwide. Drona has been developed and validated in a partnership with Clearstream and Escent.

Principal Investigator

Project title

Microbial BIogenic Tunable Structures (μ-BITS)

Host institution

University of Luxembourg

FNR committed

249,000 EUR

ABSTRACT

μ-BITS are sustainable and scalable, microbially-derived biogenic structures with tunable features and properties, offering crucial eco-friendly alternatives to microplastics and micro-inclusions used heavily in paints, cosmetics, tyres, and a range of consumer goods. Ranging from fast-moving consumer goods (FMCG) like cosmetics, hygiene and food products, to daily utilities like paints, tyres or niche applications like dental fillers rely on the state-of-the-art synthetic microplastic-basedmaterials as fillers or inclusions. However, microplastics have plagued every nook and corner of our biosphere, and as outlined by the recent scientific and regulatory reports (from the Intergovernmental Panel on Climate Change, the United Nations (UN) Environment Assembly, and European Commission), microplastics pose an immediate and major environmental challenge of global scale.

The application of biogenic particles as green alternatives is grossly unexplored, and thus μ-BITS will be a step change in the realm of production of tunable biogenic particles, relevant across both mainstream FMCG and niche applications. The introduction of μ-BITS provides a highly competitive and sustainable alternative to plastic-based materials, as well as for industries that rely on filler materials/minerals, mined often under extremely hazardous and compromised environmental and safety standards.

Therefore, the ecological benefits of μ-BITS provide strong motivations to replace microplastics and mined minerals. Overall, μ-BITS introduces a novel alternative, thatnot only will be environmentally competitive but also offer dynamically tunable and responsive material portfolio, which will be safe, recyclable and overall carbon-negative as the natural process involves sequestration of atmospheric carbon dioxide.

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