Overview
Emma Bland is a founding member of the European Centre for Environment and Human Health, providing strategic and administrative leadership.
Throughout Emma’s career, she has been interested in how people are impacted, and impact their environment, and associated issues of equity and wellbeing. Emma has considerable experience in building trans-disciplinary research projects across public, private, and not-for-profit sectors to explore the complex interplay between these areas.
Working to build strategic alliances and influence policy, Emma has led a number of initiatives that have informed strategic decision-making and have delivered several ambitious projects. Emma’s current research interests include eHealth and digital inclusion, climate change and health adaptation, healthy ageing and workplace health. In addition, Emma actively leads the Centre's work of the Centre on SME engagement, developing approaches to support SMEs collaborate withthe research community.
Following degrees in environmental biology and soil conservation, Emma first worked in sustainable development before moving to the higher education sector. She joined the Medical School in 2004, since when she has built cross-sector strategic partnerships, helping to developing health and wellbeing research capacity to address 21st century challenges.
Publications
Key publications | Publications by category | Publications by year
Publications by category
Journal articles
Williams AJ, Menneer T, Sidana M, Walker T, Maguire K, Mueller M, Paterson C, Leyshon M, Leyshon C, Seymour E, et al (In Press). Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort (Preprint).
Abstract:
Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort (Preprint)
. BACKGROUND
. Personas, based on customer or population data, are widely used to inform design decisions in the commercial sector. The variety of methods available means that personas can be produced from projects of different types and scale.
.
.
. OBJECTIVE
. This study aims to experiment with the use of personas that bring together data from a survey, household air measurements and electricity usage sensors, and an interview within a research and innovation project, with the aim of supporting eHealth and eWell-being product, process, and service development through broadening the engagement with and understanding of the data about the local community.
.
.
. METHODS
. The project participants were social housing residents (adults only) living in central Cornwall, a rural unitary authority in the United Kingdom. A total of 329 households were recruited between September 2017 and November 2018, with 235 (71.4%) providing complete baseline survey data on demographics, socioeconomic position, household composition, home environment, technology ownership, pet ownership, smoking, social cohesion, volunteering, caring, mental well-being, physical and mental health–related quality of life, and activity. K-prototype cluster analysis was used to identify 8 clusters among the baseline survey responses. The sensor and interview data were subsequently analyzed by cluster and the insights from all 3 data sources were brought together to produce the personas, known as the Smartline Archetypes.
.
.
. RESULTS
. The Smartline Archetypes proved to be an engaging way of presenting data, accessible to a broader group of stakeholders than those who accessed the raw anonymized data, thereby providing a vehicle for greater research engagement, innovation, and impact.
.
.
. CONCLUSIONS
. Through the adoption of a tool widely used in practice, research projects could generate greater policy and practical impact, while also becoming more transparent and open to the public.
.
Abstract.
Williams AJ, Menneer T, Sidana M, Walker T, Maguire K, Mueller M, Paterson C, Leyshon M, Leyshon C, Seymour E, et al (2021). Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort.
JMIR Public Health and Surveillance,
7(2), e25037-e25037.
Abstract:
Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort
. Background
. Personas, based on customer or population data, are widely used to inform design decisions in the commercial sector. The variety of methods available means that personas can be produced from projects of different types and scale.
.
.
. Objective
. This study aims to experiment with the use of personas that bring together data from a survey, household air measurements and electricity usage sensors, and an interview within a research and innovation project, with the aim of supporting eHealth and eWell-being product, process, and service development through broadening the engagement with and understanding of the data about the local community.
.
.
. Methods
. The project participants were social housing residents (adults only) living in central Cornwall, a rural unitary authority in the United Kingdom. A total of 329 households were recruited between September 2017 and November 2018, with 235 (71.4%) providing complete baseline survey data on demographics, socioeconomic position, household composition, home environment, technology ownership, pet ownership, smoking, social cohesion, volunteering, caring, mental well-being, physical and mental health–related quality of life, and activity. K-prototype cluster analysis was used to identify 8 clusters among the baseline survey responses. The sensor and interview data were subsequently analyzed by cluster and the insights from all 3 data sources were brought together to produce the personas, known as the Smartline Archetypes.
.
.
. Results
. The Smartline Archetypes proved to be an engaging way of presenting data, accessible to a broader group of stakeholders than those who accessed the raw anonymized data, thereby providing a vehicle for greater research engagement, innovation, and impact.
.
.
. Conclusions
. Through the adoption of a tool widely used in practice, research projects could generate greater policy and practical impact, while also becoming more transparent and open to the public.
.
Abstract.
Full text.
Publications by year
In Press
Williams AJ, Menneer T, Sidana M, Walker T, Maguire K, Mueller M, Paterson C, Leyshon M, Leyshon C, Seymour E, et al (In Press). Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort (Preprint).
Abstract:
Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort (Preprint)
. BACKGROUND
. Personas, based on customer or population data, are widely used to inform design decisions in the commercial sector. The variety of methods available means that personas can be produced from projects of different types and scale.
.
.
. OBJECTIVE
. This study aims to experiment with the use of personas that bring together data from a survey, household air measurements and electricity usage sensors, and an interview within a research and innovation project, with the aim of supporting eHealth and eWell-being product, process, and service development through broadening the engagement with and understanding of the data about the local community.
.
.
. METHODS
. The project participants were social housing residents (adults only) living in central Cornwall, a rural unitary authority in the United Kingdom. A total of 329 households were recruited between September 2017 and November 2018, with 235 (71.4%) providing complete baseline survey data on demographics, socioeconomic position, household composition, home environment, technology ownership, pet ownership, smoking, social cohesion, volunteering, caring, mental well-being, physical and mental health–related quality of life, and activity. K-prototype cluster analysis was used to identify 8 clusters among the baseline survey responses. The sensor and interview data were subsequently analyzed by cluster and the insights from all 3 data sources were brought together to produce the personas, known as the Smartline Archetypes.
.
.
. RESULTS
. The Smartline Archetypes proved to be an engaging way of presenting data, accessible to a broader group of stakeholders than those who accessed the raw anonymized data, thereby providing a vehicle for greater research engagement, innovation, and impact.
.
.
. CONCLUSIONS
. Through the adoption of a tool widely used in practice, research projects could generate greater policy and practical impact, while also becoming more transparent and open to the public.
.
Abstract.
2021
Williams AJ, Menneer T, Sidana M, Walker T, Maguire K, Mueller M, Paterson C, Leyshon M, Leyshon C, Seymour E, et al (2021). Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort.
JMIR Public Health and Surveillance,
7(2), e25037-e25037.
Abstract:
Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort
. Background
. Personas, based on customer or population data, are widely used to inform design decisions in the commercial sector. The variety of methods available means that personas can be produced from projects of different types and scale.
.
.
. Objective
. This study aims to experiment with the use of personas that bring together data from a survey, household air measurements and electricity usage sensors, and an interview within a research and innovation project, with the aim of supporting eHealth and eWell-being product, process, and service development through broadening the engagement with and understanding of the data about the local community.
.
.
. Methods
. The project participants were social housing residents (adults only) living in central Cornwall, a rural unitary authority in the United Kingdom. A total of 329 households were recruited between September 2017 and November 2018, with 235 (71.4%) providing complete baseline survey data on demographics, socioeconomic position, household composition, home environment, technology ownership, pet ownership, smoking, social cohesion, volunteering, caring, mental well-being, physical and mental health–related quality of life, and activity. K-prototype cluster analysis was used to identify 8 clusters among the baseline survey responses. The sensor and interview data were subsequently analyzed by cluster and the insights from all 3 data sources were brought together to produce the personas, known as the Smartline Archetypes.
.
.
. Results
. The Smartline Archetypes proved to be an engaging way of presenting data, accessible to a broader group of stakeholders than those who accessed the raw anonymized data, thereby providing a vehicle for greater research engagement, innovation, and impact.
.
.
. Conclusions
. Through the adoption of a tool widely used in practice, research projects could generate greater policy and practical impact, while also becoming more transparent and open to the public.
.
Abstract.
Full text.
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