The focus of the NUDGE project is green transportation, IoT and nudging. Nudging is a term from economics and political theory for influencing decisions and behaviour using suggestions, positive reinforcement and other non-coercive means, so as to achieve socially desirable outcomes. The NUDGE project is about how to use IoT (Internet of Things) technology to influence people to use environmentally friendly modes of transport.
With a collaborative editor, multiple users can edit the same document, either simultaneously or at different time. Current popular collaborative editors like Google Docs have a number of issues. (i) They rely on a central server (cloud). This means that to edit a document, a user has to be on-line. (ii) Undo is very limited. Our research seeks to address these issues. Currently, we have an implementation in Emacs that supports advanced selective undo features. (More information)
NOOP is an experimental research middleware platform. NOOP provides adaptive support to distributed applications. NOOP components and functions specify their requirements in contracts that the NOOP run-time has to fulfill. SNOOP is a variant of NOOP tailored for the Snow SMSC project (see below). NOOP originally started as the next generation implementation of OOPP (see old projects), but it is now used as an experimental middleware platform in many ODS research projects.
CAIM (Context-Aware Image Management)
The CAIM project focuses on image context-awareness as a means of supporting semantic-based image management (including image description, retrieval and presentation) in distributed and mobile environments. We believe that context information can be used for identifying image semantics, and may thus contribute to closing the gap between user needs for semantic image retrieval and the capabilities of current image retrieval techniques. We aim at developing new technology for image context awareness, and will provide tools for context-aware image management.
In the Snow SMSC project the goal is to provide a toolset for statistical analysis of health data. Any medical research using health data is difficult because of the legal, security and privacy issues involved. This enforces a set of constrains upon the computations and their implementations. To address this, Snow SMSC uses the outcome of secure multi-party computations (SMC) research.
Internet is one of the main sources of health information in many countries, and many institutions (e.g. hospitals, governments, medical associations) and individuals are publishing health information on social media. Finding both trustworthy and relevant health information has shown to be very challenging, as misleading content can be very popular and therefore highly ranked in traditional search engines. The objective of the project is to create new algorithms and methods that can help health consumers to find relevant and trustworthy health information (e.g., online videos, blog posts) on social media.
The project’s objective is to promote the development and use of services for information exchange, access, ticketing and payment through new applications of mobile and near field communication (NFC) technologies. This objective will be achieved through the establishment of a complete NFC ecosystem including network infrastructure, trusted service manager functionality, NFC services and handsets. The idea is to reach a critical mass of users and to expose them for various services within a limited geographical area – an NFC city. The project will offer a toolbox for development of NFC services and stimulate service providers to test their applications and business models in realistic settings. (More information)