Category / research methods

Appreciative Inquiry Special Interest Group

research methods

Appreciative Inquiry is a creative, collaborative and energising research methodology which focuses on what works and what can be. The BU Appreciative Inquiry Special Interest group would like to share some resources for those who are interested in finding out more.

We shared the sad news last week that our colleague Dr Matt Simpson, senior lecturer within the Department of social sciences and social work and Programme Lead for the Post-Graduate Diploma in Advanced Mental Health Practice, died after a short illness. Matt was a key member of the Appreciative Inquiry Special Interest group and had supported everyone within it at some point to develop their understanding of appreciative inquiry and to apply it in different settings. We met as a group this week to acknowledge what we had lost and to explore how we can maintain Matt’s legacy. One way is to extend the reach of his work using appreciative inquiry methodology. You will find links here to his latest paper applying appreciative inquiry to his mental health research. For anyone interested in learning more about Appreciative Inquiry methodology, we highly recommend chapter 4 of his thesis.

  • Simpson, M., 2024. Changing gears and buying time: A study exploring AMHP practice following referral for a Mental Health Act assessment in England and Wales. The British Journal of Social Work.
  • Simpson, M., 2022. An Appreciative Inquiry into Approved Mental Health Professional decision- making at the point of referral for a Mental Health Act assessment. PhD Thesis. Bournemouth University, Faculty of Health and Social Sciences.

The last BU blog of 2023

BU research, Featured academics, international, open access, Publishing, research methods, writing

First of all: Happy New Year!

One of the first message I received this morning was that our editorial ‘Addressing the inequalities in global genetic studies for the advancement of Genetic Epidemiology’ [1] had been published yesterday.  If I had know this in time it would have been the proper last Bournemouth University Research Blog of 2023 published yesterday.  Interestingly, we only submitted the draft editorial on Christmas Day, got it back for revisions on Boxing Day and resubmitted it and had it accepted on December 28th.   It dis, of course, help that both editors-in-chief of the Nepal Journal of Epidemiology are co-authors on this editorial!

 

Prof. Edwin van Teijlingen

Centre for Midwifery & Women’s Health (CMWH)

 

 

Reference:

  1. Sathian, B., van Teijlingen, E., Roy., B., Kabir, R., Banerjee, I., Simkhada, P., Al Hamad, H. (2023) Addressing the
    inequalities in global genetic studies for the advancement of Genetic Epidemiology. Nepal Journal of Epidemiology, 13(4):1292-1293.
    DOI: 10.3126/nje.v13i4.61271

Discovering Causal Relations and Equations from Data

BRIAN, BU research, Featured academics, Fusion themes, open access, REF Subjects, Research communication, research methods, research staff, staff profile pages, Strategic Investment Areas, Uncategorized

Discovering equations, laws, or invariant principles underpins scientific and technical advancement. Robust model discovery has typically emerged from observing the world and, when possible, performing interventions to falsify models.

Recently, data-driven approaches like classic and deep machine learning are evolving traditional equation discovery methods. These new tools can provide unprecedented advances in computer science, neuroscience, physics, philosophy, and many applied areas.

We have just published a new study discussing concepts and methods on causal and equation discovery, outlining current challenges and promising future lines of research. The work also showcases comprehensive case studies in diverse scientific areas ranging from earth and environmental science to neuroscience.

Our tenet is that discovering fundamental laws and causal relations by observing natural phenomena is revolutionised with the coalescence of observational data and simulations, modern machine learning algorithms and domain knowledge. Exciting times are ahead with many challenges and opportunities to improve our understanding of complex systems.

This study is a collaborative work between eight universities in Europe and the United States (Valencia, Berlin, Tübingen, Jena, Stockholm, New York, and Bournemouth Universities).

Camps-Valls, G., Gerhardus, A., Ninad, U., Varando, G., Martius, G., Balaguer-Ballester, E., Vinuesa, R., Diaz, E., Zanna, L. and Runge, J., 2023. Discovering causal relations and equations from data. Physics Reports, 1044, 1-68 (Impact Factor=30).

 

Paper published on ‘living evidence’

BU research, Featured academics, international, open access, Publishing, research methods, Training, Uncategorized, writing

The Nepal Journal of Epidemiology published today carries an article on so-called ‘living evidence’ as an on-going synthesis approach that provides up-to-date rigorous research evidence [1].  This short research methods paper argues that living evidence is particularly useful in rapidly expanding research domains, uncertain existing evidence, and incorporating new research evidence that may impact policy or practice, ensuring that health worker, managers and health-policy makers have access to the best, i.e. the most recent evidence.

The Nepal Journal of Epidemiology is an Open Access journal, and hence freely available to researchers across the globe.  The paper has been co-authored by researchers from the Denmark, Qatar, Mauritius and the UK.

 

Prof. Edwin van Teijlingen

Centre for Midwifery & Women’s Health (CMWH)

 

Reference:

  1. Sathian B., van Teijlingen E., do Nascimento I.J.B., Khatib M.N., Banerjee I., Simkhada P., Kabir R., Al Hamad H. (2023) Need for evidence synthesis for quality control of healthcare decision-making. Nepal Journal of Epidemiology 13(3):1288-1291.  DOI: 10.3126/nje.v13i3.61004

FMC researcher’s new book explores how marketing scholars market to each other

Publishing, research methods, research staff, writing

Dr. Chris Miles, Principal Academic in Marketing & Communication at Bournemouth University, has just published The Marketing of Service-Dominant Logic: A Rhetorical Approach, with Palgrave Macmillan.

Service-Dominant logic can be described as a mind-set for a unified understanding of the purpose and nature of organizations, markets and society. A concept that was first introduced by Vargo and Lusch in 2004, S-D logic has generated not just a vast host of journal articles and books but has established an expanding sphere of influence across marketing scholarship. In this book, Dr. Miles uses a rhetorical approach to investigate the ‘marketing’ of Service-Dominant logic, asking how the formulation and presentation of the logic aids in its persuasive promotion. In doing so, the book explores the lexicon choices, metaphors, symbols, and persuasive gambits that have resonated so strongly with marketing academia, with the aim of understanding how these elements work together in a compelling narrative that delivers the logic’s core value proposition of transcendence.

Dr. Miles investigates how these rhetorical strategies have evolved as the S-D logic framework has developed, examining the revisions to its foundational premises and axioms and the introduction of new perspectives such as systems theory. It is the first book-length rhetorical analysis of a single strand of marketing discourse and as such, it serves as a showcase for the methodology, the insights it can provide, and its value for marketing scholarship.

Book cover of The Marketing of Service-Dominant Logic

Cover of The Marketing of Service-Dominant Logic: A Rhetorical Approach

Book details:
DOI: https://doi.org/10.1007/978-3-031-46510-9

Hardcover ISBN: 978-3-031-46509-3

Softcover ISBN: 978-3-031-46512-3

eBook ISBN: 978-3-031-46510-9

2023-24 Missing Persons Indicator Cohort begins work

Awarded & submitted bids, BU research, humanities, research integrity, research methods, Student Engagement, student research

A team of 10 LLB Law students from across all levels is collating data on a pro bono basis on international, knowledge exchange project.

 

The Missing Persons Indicator Project is a collaboration between the International Commission on Missing Persons (ICMP) and Bournemouth University, with students at the heart of the project. Through students’ voluntary extra-curricular engagement, they are gathering data for sustained, high quality indicators and analysis. At the same time, participation equips students with a plethora of transferable skills and valuable research experience while contributing to a real-life societal problem with the overarching aim of alleviating missing persons cases.

So here’s a massive thank you to our student researcher cohort of 2023-24:

  • Angel Beaumont
  • Arman Ali
  • Maisie Lee
  • Lola Jones
  • Suzie Moore
  • Jazz White
  • Poppy Holland
  • Jasmin Sidhu-Bansal
  • Lydia Gee
  • Siobhan McClatchey

The data collated will help better understand the way states engage with, and seek to solve, missing persons cases, thereby assisting those involved in missing persons efforts. The collation and analysis of data will have a dual purpose: (1) to highlight missing persons protection and investigation mechanisms for improved implementation but also to (2) assist in prevention efforts. The development of indicators offers a way to capture the necessary data whilst facilitating analysis and comparison.

Findings to date will form part of the forthcoming ICMP Global Report and we will present the project rationale, methodology, data analysis and visualisation at the online Social Data School in December as part of the University of Cambridge Digital Humanities initiatives. Over the past two academic years and through the help of dedicated students on staff (Dr David Biggins from BUBS; Melissa Bowden from the Library and Dr Jonathan Whittle in H&L), on structural indicator 1 alone, some 12,288 data entry points have been populated.

The missing persons indicator project team has developed a robust platform and methodology for continued data collation. We are really pleased and grateful to continue on this path to complete the data set for structural and context indicators.

Introduction to Patient and Public Involvement

BU research, Clinical Governance, Guidance, nhs, NHS, Research communication, Research Ethics, research governance, research integrity, research methods, Research news, research opportunities, Research Training, Training

This half day course is an introduction to PPI and will:
1. Define PPI and why it matters
2. Explore the links between PPI and health equity
3. Explain how to deliver PPI and support those involved

It will be an interactive session, including input from someone with lived experience, talking about their involvement in research.

It will be delivered by Sue Bickler from the Involving People team at Help and Care, an organisation that ‘helps people and communities live the lives they choose’.

Sue has worked in the voluntary sector, local authorities, and health, and has substantial experience engaging with people and communities to ensure that services meet their needs.  Her current role brings together the four Healthwatch in Hampshire and the Isle of Wight (HIOW), ensuring that patient voice is central to decision making in the HIOW Integrated Care System and that people are equipped to support effective Patient and Public Involvement (PPI).

The session is funded by Clinical Research Network Wessex and is open to all health and care researchers working in Wessex including public contributors and community organisations.

Book your place here.  A link to the online training will then be sent to you.

NIHR Be Part of Research platform

BU research, Clinical Governance, Guidance, nhs, NHS, Research communication, Research Ethics, research governance, research integrity, research methods, Research news, research opportunities, research staff

The NIHR Be Part of Research platform is an online service that makes it easy for research participants to find and take part in health and social care research. Participants may search for trials and studies taking place looking at certain health conditions and in locations accessible to them.

Clinical researchers may also make use of the service to extend their recruitment and widen their recruitment methods, as the platform has been designed to make it easier for researchers and potential study participants to find each other.

Using Be Part of Research to recruit participants

To use the service for your recruitment, the study must meet the following requirements:

  • Be funded or supported by the NIHR. This includes studies on the NIHR Clinical Research Network Portfolio.
  • Have Research Ethics Committee approval to use the service as a recruitment tool.
  • Have a dedicated point of contact such as a pre-screener or website for interested volunteers to engage with your research team.

Getting your study onto the Be Part of Research platform

Once your study has been registered on either ISRCTN, ClinicalTrials.gov, or on the NIHR Clinical Research Network (CRN) Central Portfolio Management System (CPMS), your project will then appear on Be Part of Research. Given those visiting the site are mostly patients and members of the public, medical and scientific terminology should be omitted when writing your study summary, with plain English used to ensure the information is accessible to a broad audience. In order to do this, you should:
  • Keep it short – but don’t oversimplify it. The reader must understand what the study is trying to achieve.
  • Imagine you are talking to the reader.
  • Take out any jargon.
  • Make sure you cover the what, why, when, where and how so they have the basics of your study.

Additionally, to make sure that participants contact the appropriate person, the contact details provided on ISRCTN or ClinicalTrials.gov should be up to date and accurate. In general, the registry record should be monitored continuously so that any changes are reflected on Be Part of Research as soon as possible.

Further support/contact

If you have any questions regarding the platform or regarding clinical research in general, please email Suzy Wignall, Clinical Governance Advisor: swignall@bournemouth.ac.uk or clinicalresearch@bournemouth.ac.uk

Advertising BU’s Systematic Review Masterclass

BU research, Knowledge Exchange, research methods, Research Training, Training, Uncategorized

The Faculty of Health & Social Sciences shall be running the two-day ONLINE Masterclass ‘Introduction to conducting a systematic literature review’.  The aim is to provide participants with an understanding of how to collate and assess the best possible evidence in the form of a systematic literature review. This masterclass will examine the rationale for systematic literature reviews and take participants through the structured, rigorous, and objective approach used to provide a critical synthesis of the available evidence on a particular topic.

The Masterclass is facilitated by (1) Vanora Hundley, Professor in Midwifery with experience of conducting systematic reviews of health care interventions in both low-and-high-income countries; (2) Edwin van Teijlingen, a medical sociologist with extensive experience in conducting systematic reviews. He has run similar workshops reviews internationally and has published on the importance of systematic reviews; and (3) Caspian Dugdale is Research Librarian with considerable experience in running health information literacy workshops for students, academics and postgraduate researchers.

The masterclass is suitable for anyone who wishes to explore the basic principles involved in conducting a systematic literature review. No previous knowledge is required. Attendees include health and social care practitioners, postgraduate students, and academics.  There will be two online days – 8th and 15th November – which will focus on:

  • Designing a review protocol
  • Formulating a question
  • Identifying and selecting relevant studies
  • Systematic data extraction and collection
  • Synthesis and analysis of the data
  • Writing up and reporting systematic reviews.

Booking Information:

The fee of £400 includes two full days with the course facilitators. We are happy to announce that NHS partner organisations are eligible for a reduced fee £200.

You are now able to book on line for our masterclass: https://www.applycpd.com/BU/courses/116678

The application deadline is 11th October 2023.

For more information contact:
Tel: 01202  962184 or email HSSRKEAdministrator@bournemouth.ac.uk

INRC seminar by Dr Jie Sui, Friday the 8th of September at 14.00 h, Share Lecture Theatre (Fusion).

BU research, Events, Featured, Featured academics, REF Subjects, Research Centres, research methods, Research news, research staff, Strategic Investment Areas, Women's Academic Network

We want to draw your attention to a seminar organized by the Interdisciplinary Neuroscience Research Centre on this Friday, the 8th of September, from 14:00 h to 15:00 h at the Share Lecture Theatre (Fusion Building). There will be a networking event after the talk with coffee and biscuits.

Our guest speaker is Dr. Jie Sui (University of Aberdeen), invited by Dr. Ellen Seiss. Prof Dr Sui is renowned for her studies investigating the unique self, self-representation, and social interactions in VR. Her research combines multiple neural recording modalities, such as EEG and fMRI, with computational modelling.

The title of this exciting talk is: “Understanding the Self: Prospects for Translation”. Please find the abstract below.

We warmly invite you to attend this seminar.

Kind regards,

Ellen and Emili, on behalf of all of us.

Abstract:

“An understanding of the self helps explain not only human thoughts, feelings, and attitudes but also many aspects of everyday behaviours. This talk focuses on a particular perspective on self-processes. This perspective highlights the dynamics of the self that best connects with the development of the self over time and its realist orientation. We are using psychological experiments and data mining to comprehend the stability and flexibility of the self in different populations.

In this talk, I integrate experimental psychology, associative learning theory, computational neuroscience, and machine learning approaches to demonstrate why and how self-association affects cognition and how it is modulated by various social experiences and situational factors.”