Research projects - Ubiquitous Computing and Interaction - Department of Computer Science

CCTD - Center for Computational Thinking and Design

Center for Computational Thinking and Design (CCTD) is a new interdisciplinary center at Aarhus University. The center has the Department of Computer Science, the School of Communication and Culture, and the Department of Management as the primary actors.

CEED project

CEED is a 4-year research project exploring and building new practices of computational empowerment for emerging technologies in Danish secondary education.

CoronaLytics

Based on a unique analysis of health data from smartphones and so-called wearables, combined with supplementary questions in an app, the project will develop new knowledge about citizens' changing patterns of living, the development of infection and how it has affected families' everyday lives and quality of life.

CTiMNAT - Computational Thinking in Math and Science

Computational thinking in secondary education and professional development of high school teachers in STEM.

DABAI

The vision of the “DAnish center for Big data Analytics driven Innovation” (DABAI) is to place world-class computer science Big Data analysis research and innovation at the core of an effort to seize opportunities in domains of importance to Danish businesses and society.

HealthD360

The aim of “360 Degree Health Data Integration” (HealthD360) is to develop an integrated data platform that combines today’s fragmented landscape of health-related data sources – in particular from various wearable sensors – for coherent, personalized treatment.

Hospital@Night

In “Hospital@Night”, the need for more efficient task scheduling for on-call physicians in after hour clinical settings is addressed through state-of-the-art machine learning and visual analytics methods.

MADE digital

The research in MADE Digital work package 6, Digital Assistance Tools, focuses on how augmented reality and virtual reality can be used in manufacturing context.

MCTIG - Computational Thinking in Humanities, Arts and Social Sciences

Computational thinking in secondary education and professional development of high school teachers in humanities, arts and social sciences.

VADE

The project “Visual Analytics of Data Errors” looks for better ways to identify and analyze data quality issues through the use of Mixed-Initiative Analytics.

Current projects