Expertise in Data Science

Dataspaces are digital environments for secure and trustworthy data sharing that enable better conditions for collaboration, innovation and societal benefit – while respecting individual rights. RISE contributes with expertise, guidance and projects that promote trust and interoperability in these …

Linked Data allows machines to understand, reason, and make decisions based on knowledge represented in a way that is understandable by both humans and machines.

Data-driven digital decision support using interactive evaluation and visualization tools that quantify and visualize the effects (or non-effects) that arise from, for example, changed processes, the introduction of innovations and new solutions, interventions etc. are requested by many municipalit…

Rising energy consumption throughout the product life-cycle in combination with corresponding increasing emissions of greenhouse gases and waste are well-known consequences of a modern digital lifestyle. RISE is dedicated to make a difference to make ICT (Information and Communications Technology)…

UVF (Ultraviolet Fluorescence Analysis) is a non-contact method for the detection of biological materials, such as oil. RISE develops UVF systems that are adapted to challenging applications.

A paradigm shift within the transport system is here. Historically the human driver has been responsible for both the car and the driving. As machines are introduced, they will take over the responsibility of interpreting the surroundings and other road users. For this we need methods to capture r…

Uncertainty Quantification (UQ) supports the decision-making process by delivering reliable simulation and experimental data with estimated uncertainties due to the impact of imperfectly known information on the design.

RISE drives the development in data collection to increase and simplify collection and understanding of available data in industry and society. This enables better decision-support and awareness of ongoing events. By identifying missing data and correlating it with available data, we build the tran…

GIS and Remote Sensing are tools that can be used in projects that deal with, for example, population growth, heat loss, urban heat islands, gathering population opinion about certain areas using geographical location, urban density, suitability analysis, land usage etc.

Socio-econometrics refers to advanced econometric models to calculate long-term effects of investment in social innovation (technology based or not).

Open and shared data from public administrations and companies is a prerequisite for data-driven innovation and contributes to significant efficiency gains by replacing existing system integrations and manual register extracts. RISE has extensive experience in research on how organizations can shar…