Mad@Work is a study project that focuses on the detection and mitigation of employees' poor mental health conditions. The goal of the project is to develop new human resource management solutions to improve workplace conditions and employee wellbeing. Nixu is one of the companies participating in the project and focuses on privacy-by-design software development and personal data control with MyData principles.
What is Mad@Work?
Mad@Work is the short name for the project ITEA3 Mental Wellbeing Management and Productivity Boosting in the Workplace. It's a VTT study project that focuses on the detection of mitigation of employees' poor mental health conditions, such as work-related stress and burnout, to prevent associated health risks. The goal of the project is to develop new human resource management solutions to improve workplace conditions, employee wellbeing, and performance. The solutions will combine data from a range of environmental sensors and wearable data sources in a privacy-safe and unobtrusive way.
Nixu is one of the many companies participating in the project and focuses on privacy-by-design software development and personal data control with MyData principles.
Privacy-safe software and devices
Privacy problems will undoubtedly arise when building a solution that measures and analyses people at work. Imaginative data collection methods, potentially conflicting legal requirements, and various stakeholders with different interests to the employees' personal data complicate the picture further. Nixu's goal is to develop a model to uncover and assess the privacy and ethical impacts of ubiquitous computing at the individual level and in the employee-employer relationship. Nixu aims at making privacy-aware software design easier by developing reusable privacy patterns that concentrate on commonly occurring privacy design issues and describe the solution to each. Nixu will also set up a standardized MyData platform to enable users to control the usage and sharing of their data fully. Overall, Nixu is on a mission to create practical ways of embedding privacy to the business model and mitigating possible trade-offs between the business aim and ethical, privacy-safe personal data processing.
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