Category / Fusion themes

Work-Life balance within Academic roles and careers

            Work – Life Balance 

This online session is aimed at Academics, Researchers and PGRs with an interest in discussing work/life balance within Academic roles and careers.

The session aims to discuss approaches to setting and maintaining healthy work/life balance whilst also managing the demands of their role. It will follow an open, discursive model and invite responses from ECRs with input from the Academic leads.

Work Life Balance – 07/02/2024

13:00-14:00 on MS Teams

By the end of this session, attendees will have acquired knowledge of models and techniques to healthy professional practice with regards to time management, wellbeing and working practices, and have had the opportunity to discuss their specific circumstances with peers and experienced Academic mentors.

Book your place here under ‘ECRN: Work Life Balance – 07/02/2024’ in the drop-down menu.

For any further information please contact RKEDF@ RKEDF@bournemouth.ac.uk

Digital Marketing Colloquium 2024-Submission Deadline 15/02/2024

We are extremely excited to announce that digital marketing research group (Department of Marketing, Strategy and Innovation) is organising its first digital marketing colloquium on Tuesday 19th – Wednesday 20th March 2024 at the Bournemouth University Business School. 

This colloquium will bring together leading researchers and practitioners to discuss and visualise the future of strategic and operational marketing. Both technology advancements and marketing developments will be explored, co-creating future innovations for collaboration and solutions. The aim is to draw in forward-thinking research on crucial subjects that have an impact on consumers, businesses, and society as a whole. Participants will be encouraged to stimulate fresh perspectives and explore uncharted territories.   

This is an multi and inter-disciplinary event, scope of which covers the following indicative areas:  

  • Digital business process reengineering 
  • Digital consumption, behaviour, attitudes, and decision-making 
  • Digital ecosystems: strategies and operations 
  • Digital Twins  
  • Virtual Real Estate  
  • Enhanced social web3, virtual and hybrid interactions  
  • AI in Business and Industry 
  • Predictive analytics 
  • Machine Learning and Algorithms  
  • AI Supply chain optimisation 
  • AI based Customer Relationship Management 
  • Virtual experiences  
  • Designing immersive and illusive experience in the Metaverse and Web3 
  • Interactive and engaging user experiences  
  • Gamification and serious gaming  
  • Business models and opportunities  
  • Future of Work  
  • Education, training and adaptive learning 
  • Creativity and design in AI  
  • Blockchains and smart contracts, cryptocurrencies, NFTs  
  • Digital Identity: opportunities and challenges  
  • CyberSecurity and customer experience  
  • Wearable technology  
  • Human-robot interaction 
  • Robotics and Automation design 
  • Robot based services  
  • Chatbots and virtual assistants  
  • Autonomous vehicles and drones 
  • Environment, climate, energy optimization and sustainability  
  • Ethical, legal and social implications  
  • Health and wellbeing.  

 We welcome submissions in the form of abstracts for presentations, posters and workshop proposals. Workshop proposals are an interesting element we wish you to consider – workshops are meant to run a related to Colloquium theme interactive session on a specific topic to stimulate participants to co-create future scenarios or solutions, work interactively on an emerging topic and exchange ideas. Please see the detailed Call for Papers attached here.  Deadline for all submissions is 15th Feb 2024 and abstracts for presentations and posters as well as workshop proposals can be submitted by clicking here   

We will keep you in the loop about further developments on this colloquium and will share all the links for submission systems soon. Watch this space and save the date 😊 

Digital Marketing Colloquium 2024 Organising Committee 

 

 

Health Promotion article is being read

Our article ‘Understanding health education, health promotion & public health’ [1] is getting read according to ResearchGate.  This conceptual/ theoretical paper was published open access in late 2021 in the Journal of Health Promotion and it reached 4,500 reads yesterday. Whilst the web side of the journal suggests today that the PDF of the paper has been downloaded 8,511 times.

 

Prof. Edwin van Teijlingen

Centre for Midwifery & Women’s Health (CMWH)

 

 

Reference:

  1. van Teijlingen, K. R., Devkota, B., Douglas, F., Simkhada, P.,  van Teijlingen, E. R. (2021). Understanding health education, health promotion and public health. Journal of Health Promotion, 9(1): 1–7. https://doi.org/10.3126/jhp.v9i01.40957

MIL Eco-Lab: Media & Information Literacy for Healthy Ecosystems

logo - science, health, and data communications research group

MIL Eco-Lab: Media & Information Literacy for Healthy Ecosystems

Cluster Lead: Julian McDougall

This new research cluster, located in SHDC, will generate and support research to inform policy and practice for the role of Media and Information Literacy (MIL) in: promoting societal resilience to misinformation; improving the health of communication ecosystems and supporting better health, science and data literacies.

This new cluster will form an MIL Eco-Lab to support and grow capacity for:

  • Research-informed MIL, working with a theory of change;
  • Education and training in MIL (including for better health and science communications);
  • Designing third spaces for MIL practice;
  • Evaluating MIL for ecosystem health (moving beyond solutionism, for positive consequences and social change);
  • Intersecting with the work of the Media and Information Literacy Alliance charity in advocacy spaces (including health, science and data communications).
  • Fostering productive inter-disciplinary and international environments for doctoral research in MIL and pioneering research in the field, where significant, for health, science and data communications.

Colleagues who are interested in finding out more about this cluster and discuss how your research can contribute, with no obligation to join, are invited to share your availability here for a zoom workshop later this month. And / or if you would like to chat about this 1-1, just email me and we can set that up.

Thanks for reading,

Julian

The last BU blog of 2023

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

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).