Project description
Training experts on privacy-preserving personalised health, wellness and sports analytics
Technology plays a significant role in the way our society approaches health, well-being and sports. The rise of embedded and wearable computing will revolutionise the Internet of Things for sports and wellbeing. This will also increase employment opportunities and open new markets. However, there is a lack of highly skilled researchers and engineers trained in building efficient and privacy-preserving IT platforms and service infrastructures. The EU-funded RAIS project will train early-stage researchers and engineers to lay the foundations for decentralised, scalable and secure collective sensing infrastructures and platforms. The project will advance wearable sport-sensing, quantified self-using devices and accompanying middleware and develop new technologies in big data analytics, distributed and decentralised machine learning, blockchain as well as security/privacy.
Objective
Over the past few years, we have been witnessing an increasing presence and usage of wearable sensing and quantified- self devices. The rise of embedded and wearable computing is expected to bring the next revolution of the Internet of Sports, enhancing fitness, performance health, productivity and safety as well as creating new jobs and opening new markets. Nevertheless, at a European level, there is a recognized shortage of highly skilled researchers, scientists and engineers with transferable skills and entrepreneurial experience, trained in building IT platforms and service infrastructures capable of hosting innovative collective sensing services and applications. The RAIS consortium comprising 6 beneficiaries and 7 fully committed partner organizations, aspires to establish the core for a fertile multidisciplinary research and innovation community with strong entrepreneurial culture that will advance:1) wearable sport-sensing and quantified-self devices and accompanying middleware;2) technologies of Big Data mining and analytics that are needed to capture a broad range of users’ sports- and wellness-related information.The main objective of RAIS is to provide world class training for a next generation of researchers, computer scientists, and data engineers, emphasizing a strong combination of advanced understanding in both theoretical and experimental approaches, methodologies and tools that are required to develop decentralized, scalable, and secure collective sensing infrastructures and platforms. RAIS training network will fund 14 ESRs, 3 workshops, 1 Hackathlon event, 1 entrepreneurship event, 3 summer schools and a final Conference. To meet this goal, RAIS will focus on developing new technologies on Big Data Analytics on the Edge, Data Stream Processing, Distributed and Decentralized Machine Learning, Blockchain as well as Security/Privacy. These topics include important and timely research challenges with an immediate exploitation potential.
Fields of science
- natural sciencescomputer and information sciencesinternet
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencescomputer securitycryptography
- natural sciencescomputer and information sciencesdata sciencedata mining
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Keywords
Programme(s)
Coordinator
100 44 Stockholm
Sweden