Helen Balmforth
Head of Data Analytics
Dr Helen Balmforth is the Head of Data Analytics at HSE
providing data analytical expertise across HSE, wider UK government
and the private sector. Her role includes working with
other government departments and industry to develop and provide
data driven solutions. Helen also co-leads the
Digitisation and Complexity Theme at the Thomas Ashton
Institute. A research institute established
between HSE and Manchester University.
Helen has over eighteen years' experience of developing and
delivering analytical solutions for a range of health and safety
issues. This includes the development of the National
Population Database (NPD) and the related demographic analysis and
impact modelling work, the development of the pilot Regulatory
Intelligence Hub (RIH) to help target and prioritise interventions
and the establishment and delivery of Discovering Safety
which is a programme of work that uses data and analytics to
improve health and safety performance.
Research Interests
- Developing data driven approaches to improve regulatory
interventions
- Using health and safety data in new ways to improve
performance; including the development of leading indicators of
performance and predictors of increased risk
- Understanding the impact on health and safety of the
digitisation of the workplace including the transfer of risk and
the emergence of new risks
- Understanding how analytical techniques, such as text mining
and knowledge graphs can be applied to create intelligence search
and retrieve systems to extract new health and safety insight to
bring to challenges
- Understanding user requirements and developing research
methodologies to deliver solutions
Current Projects
- Discovering
Safety: Programme Director for this Lloyds Register Foundation
funded programme, which aims to improve health and safety
performance on a global scale using data and analytical techniques
to provide new insight and solutions.
- Leading the development of the National Population Database
(NPD), which began in 2010. The UK-wide NPD provides
information on numbers and types of populations at different types
of locations. This includes residential populations, populations in
workplace, schools, hospitals and leisure locations, amongst
others. The NPD has been widely used across teh private sector and
by Government for scenario planning and emergency response and is
included in the Resilience Direct system.
- Leading the new Industrial Safetytech Regulatory Sandbox
project funded by the Regulators Pioneer Fund (RPF)
awarded by BEIS. This new project will explore whether new
technologies can help improve compliance and regulation by bringing
together industry and the tech sector with HSE as the regulator.
The fully-developed world's first regulatory sandbox will enable
the creation of solutions to safety and compliance challenges.
Previous Projects
- Managing the impact modelling team who developed an impact
library of data and the Hazard Impact Model (HIM). This has been
used to deliver impact assessments for government departments for
scenario planning, input to the National Risk Register, and to
model and manage hazards such as surface water flooding
events.
- Establishing and developing the GIS capability within HSE. This
has been used to understand the spatial distribution of risks from
major hazards sites and pipelines and develop and deliver the Land
Use Planning advice tool used by local authorities and the private
sector.
- Leading the Regulatory Intelligence programme of work at HSE.
This looked to adopt a data driven approach to targeting regulatory
interventions and developing tools, such as Find-It which is used
by HSE and other regulators to plan, prioritise and target
regulation. This also included the development of a pilot
Regulatory Intelligence Hub (RIH).
Notable Achievements
- Helen currently sits on the cross Government Data Leaders
Network, and the Data Standard Authority Peer Review Group.
- Previously part of the steering group for UK Government Natural
Hazards Partnership and co-chair of the Hazard Impact Model
working.
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