Category / Research themes

Public lecture on ‘Getting the message across about Zika’

Public Lecture by Professor Jane Noyes, Bangor University

Date: Friday 12 May 2017
Time: 10.50 -12:00
Venue: B321, Bournemouth House

Getting the message across about Zika: using qualitative evidence to inform the global WHO risk communication guidelines for public health emergencies, and lessons learned for intervention development.

Jane is the Professor of Health and Social Services Research and Child Health at Bangor University. She specialises in child health and social care research. She is also an expert in methodology, including complex intervention development and evaluation, and qualitative and mixed method systematic review methodology.  Jane is Lead Convenor of the Cochrane Qualitative and Implementation Methods Group and Editor of the Journal of Advanced Nursing.

Jane’s talk will be followed by a short lecture by of Queen’s University Belfast on ‘Social technology solutions to postnatal care in Brazil’.

Fiona is a Lecturer in the School of Nursing and Midwifery and the Centre for Evidence and Social Innovation, Queen’s University Belfast. Her research focuses on enhancing maternal and child health and wellbeing. Her expertise includes conducting economic evaluations alongside intervention-based studies.

Complimentary lunch will be served at 12.30pm

Please RSVP to Sam Porter at porters@bournemouth.ac.uk

This lecture is part of the ‘Social technology solutions to postnatal care in Brazil’ project funded by the British Council through the Newton Fund.

Please share with your networks, this Flyer is available to send out.

CEMP research published by Samsung

CEMP’s Digital Capability study has now been published by Samsung.

ABOUT THIS RESEARCH
In 2015, Samsung funded a six-month research project on the Isle of Portland in Weymouth, exploring the
impact of technology on participants’ engagement with community services, schools and family learning.
We partnered with the Centre for Excellence in Media Practice (CEMP) at Bournemouth University.
The project has given us a rich set of findings on which to build further work, and we hope this summary will be
of help to schools, community organisations, policy makers, employers and even parents – anybody
who shares our interest in enabling communities to benefit from the power of digital technology.

Intelligent Image Understanding

We would like to invite you to the latest research seminar of the Centre for Games and Music Technology Research.

Title: Intelligent Image Understanding

Speaker: Jing Wang

Time: 2:00PM-3:00PM

Date: Wednesday 10th May 2017

Room: PG11, Poole House, Talbot Campus

Abstract: Real data are usually complex and contain various components. For example, face images have expressions and genders. Each component mainly reflects one aspect of data and provides information others do not have. Therefore, exploring the semantic information of multiple components as well as the diversity among them is of great benefit to understand data comprehensively and in-depth. However, this cannot be achieved by current nonnegative matrix factorization (NMF)-based methods, despite that NMF has shown remarkable competitiveness in learning parts-based representation of data. To overcome this limitation, we propose a novel multi-component nonnegative matrix factorization (MCNMF). Instead of seeking for only one representation of data, MCNMF learns multiple representations simultaneously, with the help of the Hilbert Schmidt Independence Criterion (HSIC) as a diversity term. HSIC explores the diverse information among the representations, where each representation corresponds to a component. By integrating the multiple representations, a more comprehensive representation is then established. Extensive experimental results on real-world datasets have shown that MCNMF not only achieves more accurate performance over the state-of-the-arts using the aggregated representation, but also interprets data from different aspects with the multiple representations, which is beyond what current NMFs can offer.

We hope to see you there.

A Cloud-Based Collaborative Virtual Learning Environment (VLE) for the Higher Education Institutions (HEIs) in the Sultanate of Oman

We would like to invite you to the latest research seminar of the Centre for Games and Music Technology Research.

Title: A Cloud-Based Collaborative Virtual Learning Environment (VLE) for the Higher Education Institutions (HEIs) in the Sultanate of Oman.

 

Speaker: Mohammed Al hajri

Time: 2:00PM-3:00PM

Date: Wednesday 3rd May 2017

Room: PG11, Poole House, Talbot Campus

 

Abstract: It is becoming increasingly difficult to ignore the demand to migrate or to adopt cloud computing into not only companies but also educational institutions. New trends in this promising field have been playing significant and critical roles in delivering educational services and applications to stakeholders.

Oman and other developing countries could benefit from a cloud-based collaborative VLE where students and faculty members could have access to online facilities to collaborate effectively achieving the potential aims of their courses and programs. HEIs especially in Oman spend high portions of their budgets to establish and maintain IT systems while not all HEIs can afford to have their separate IT systems network due to its unaffordable cost.

This research critically assesses the current ICT infrastructure and any cloud-based collaborative initiatives used in Universities and Colleges in Oman and attempt to explore the existing VLEs in HEIs in Oman. Furthermore, the research will develop a framework which will adopt the contribution from analysing any related frameworks and models in the field or in adjacent areas. The proposed framework is aiming to make a unified and collaborative VLE that can be shared and utilised by several HEIs in Oman which will enable them to exchange and share educational resources among themselves and to reduce the cost of IT expenses in software, hardware and technical support. Thus, this research is aiming to get the maximum benefits of cloud computing to be applied in collaborative VLEs and use it as a model to improve the current IT infrastructure implemented in this environment. Also, the proposed framework can be adapted and adopted by similar developing countries.

 

We hope to see you there.

Masterclass: The clinical doctorate model – Enabling Practitioner Research

Monday 15th May 2017, 14.00 – 15.30, Lansdowne Campus

This masterclass will be presented by Professor Vanora Hundley, Deputy Dean for Research and Professional Practice, Faculty of Health & Social Sciences. The development of a clinical PhD studentship utilises the opportunity to bring in research income, while developing a bespoke educational opportunity that is attractive to employers and directly relevant to practice. Professor Hundley’s clinical doctorate model has been recognised nationally as an example of excellent practice which facilitates Knowledge Exchange and enhances future research collaborations.

This is part of the Leading Innovation Masterclasses series.

There are two other masterclasses in May: ‘Developing Interdisciplinarity’ with Professor Barry Richards, and ‘Benchmarking your students’ digital experience’ with Jisc’s Sarah Knight.

Find out more about these and book a place at the following link:
Leading Innovation – Masterclasses

Deadline Extended: Machine Learning in Medical Diagnosis and Prognosis

The deadline has been extended to the 14th of April , 2017.

This is a call for papers for the Special Session on Machine Learning in Medical Diagnosis and Prognosis at IEEE CIBCB 2017.

The IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2017) will be held at the INNSIDE Hotel, Manchester from August 23rd to 25th, 2017.

This annual conference has become a major technical event in the field of Computational Intelligence and its application to problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering and related fields. The conference provides a global forum for academic and industrial scientists from a range of fields including computer science, biology, chemistry, medicine, mathematics, statistics, and engineering, to discuss and present their latest research findings from theory to applications.

The topics of interest for the special session include (but are not limited to):

  • Medical image classification
  • Medical image analysis
  • Expert systems for computer aided diagnosis and prognosis
  • Pattern recognition in the analysis of biomarkers for medical diagnosis
  • Deep learning in medical image processing and analysis
  • Ethical and Security issues in machine learning for medical diagnosis and prognosis

Up-to-date information and submission details can be found on the IEEE CIBCB 2017. The submission deadline is the 14th of April, 2017.

Please e-mail srostami@bournemouth.ac.uk with any questions.

Humanisation Special Interest Group meeting BU 11th April 2017

We are a group of scholars and practitioners who have an interest in what makes us Feel Human and how this is linked to Health, Wellbeing, Dignity and Compassion. We use Lifeworld approaches and subjective experience as the basis for our understanding. For more information please click here

At meetings we discuss issues following two presentations, and share our on-going work into humanisation in education, practice and research.

Our next meeting is

On April 11th 2017,  From 2pm to 4.30 pm,  At Lansdowne Campus, EB202

The two presentations are

  •  The relatives’ experience of acquired brain injury and the humanising role of the Expert Companion Mark Holloway – Brain Injury Case Manager Head First, SSCR Fellow
  •  Using photography to encourage introspection among GPs Rutherford – Senior Lecturer, Bournemouth University

If you are not already  a member of the Humanisation SIG e-mail group and would like to be, please contact Caroline Ellis-Hill 

For further details of the topics and speakers  please click here

All Staff and Students are welcome

Masterclass: An innovative approach to setting up a Research Hub

Monday 10th April, 10.00 – 11.30 at Lansdowne Campus

In this masterclass, Tom Wainwright will share how he and Professor Middleton formed the Orthopaedic Research Institute; how they presented the concept to the board and the considerations that they believe made their pitch successful. It is hoped that delegates will be able to draw parallels from this experience that may be useful in different research contexts.

This is part of the Leading Innovation Masterclasses series.

There are three final masterclasses in May: ‘Developing Interdisciplinarity’ with Professor Barry Richards, ‘Benchmarking your students’ digital experience’ with Jisc’s Sarah Knight, and ‘The clinical doctorate model – Enabling Practitioner Research’ with Professor Vanora Hundley.

Find out more about these and book a place at the following link:
Leading Innovation – Masterclasses