To further develop understanding of the current and future world of work to ensure that our regulatory approach remains suitable and sufficient, including where our regulatory interests extend beyond preventing harm to workers, e.g. covering assessment of potential adverse impacts of chemicals on the general public, consumers and the environment. To equip ourselves with new insights into the reasons why particular failures in health and safety occur. To develop the existing system of ongoing data collection, analysis, interpretation and result dissemination so that it continues to support HSE’s current priorities and prevention strategies and is flexible enough to adapt to change. To identify health and safety hazards and risks arising from change in the GB workforce and their work.
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This question was published as part of the set of ARIs in this document:
According to the Construction Skills Network report, an extra 225k construction workers will be needed by 2027\. However, 55% of UK construction companies say that their productivity is already suffering from a lack of s...
Funded by: Innovate UK
Lead research organisation: FC LABORATORIES LTD
The project focuses on tracking and predicting risk of human error in worker health and safety, but does not specifically address the interaction between digital and physical systems.
Worker and workplace safety are critical programmes and have high priority status in regulated sectors. Non-compliance creates incident costs and loss, lost productivity and business disruption, and sometimes regulatory ...
Funded by: ISCF
Lead research organisation: CISCO INTERNATIONAL LIMITED
The project aims to design and build an autonomous system that will detect and monitor workers against the correct inventory, improving worker safety and compliance.
Teknobuilt, led by Abhishek Srivastava, Jon Baker, Harish Iyer and Naomi Mhatre, is a rapidly growing UK SME specialising in construction technology, hospitality and AI and digital services. Its founders have extensive e...
Funded by: Innovate UK
Lead research organisation: TEKNOBUILT LIMITED
The project aims to develop a machine-learning-powered digital HSE system that enables the monitoring of the health and safety of worksites and workers digitally and remotely, addressing the question's requirements.