Category / Computer Science

Building Your Own Ecosystem: Why Entrepreneurial Self-Efficacy Might Matter More Than the Perfect Network

Entrepreneurship often begins with a deceptively simple act: reaching out to someone you do not know.

During the first week of our MBA Technology Entrepreneurship unit at Bournemouth University, a final year engineering student entrepreneur, Atanas Burmov, spoke to the class about building his venture from scratch. He arrived in Bournemouth at 18 to study software engineering. Within months he had established a mathematics and programming society to create peer support for students navigating the demands of their degree. Soon afterwards, he began contacting academics, technologists and organisations—sometimes completely cold—seeking advice and collaboration for a technology idea he was developing.

At that stage he had no venture capital, no established network, and no formal ecosystem behind him. What he had instead was something more fundamental: the belief that he could learn, build, and navigate uncertainty. He simply started reaching out to people. Those early emails and conversations eventually became the foundations of the collaborations that now support the growth of his venture. But at the beginning, it was not about partnerships or strategic alliances. It was about initiative.

His story is simply an illustration which shows a much larger phenomenon in entrepreneurship research: the role of entrepreneurial self-efficacy in enabling individuals to act under conditions of uncertainty and constraint ( McGee et al., 2009; Zhao et al., 2005).

The concept of self-efficacy originates in Albert Bandura’s social cognitive theory. Bandura defines self-efficacy as an individual’s belief in their capability to organise and execute the actions required to manage prospective situations (Bandura, 1977; Bandura, 1997). In other words, it is not simply about possessing knowledge or skills. It is about believing that those capabilities can be applied effectively in uncertain circumstances. Entrepreneurship is inherently uncertain. New ventures rarely begin with stable structures, predictable markets or guaranteed resources. In such environments, internal judgements of capability become critically important. A substantial body of research shows that entrepreneurial self-efficacy is strongly associated with entrepreneurial intention, persistence and opportunity pursuit (Chen et al., 1998; Zhao et al., 2005; McGee et al., 2009).

Individuals who believe they can navigate uncertainty are more likely to act despite incomplete information. They are more willing to experiment, to approach new contacts, to persist after rejection and to mobilise resources creatively when conventional pathways are unavailable. This becomes particularly relevant when entrepreneurs begin under conditions of constraint. Many founders start without financial capital, established networks or institutional legitimacy. Research on entrepreneurial bricolage shows how entrepreneurs often respond by recombining the resources already available to them in creative ways (Baker & Nelson, 2005). Similarly, the theory of effectuation highlights how entrepreneurs begin with the means they already possess—who they are, what they know and whom they know—and gradually build ventures through partnerships and experimentation (Sarasvathy, 2001).

Technical expertise can reinforce this process. Founders with deep domain knowledge, particularly in technology-based ventures, often possess greater confidence in their ability to solve problems. This confidence can strengthen entrepreneurial self-efficacy and increase the likelihood that individuals will attempt to translate ideas into ventures (Marvel et al., 2016). Yet confidence does not emerge in isolation. Bandura himself emphasised that self-efficacy develops through interaction with social environments. Mastery experiences, encouragement from others, observing peers succeed and working within supportive communities all contribute to the strengthening of self-efficacy beliefs (Bandura, 1997).

This is one reason why institutional environments such as universities can play such an important role in the entrepreneurial journey. Universities increasingly operate as entrepreneurial institutions, supporting venture creation alongside their traditional roles in research and teaching (Etzkowitz, 2003; Guerrero et al., 2016). For students, universities offer more than academic instruction. They provide access to laboratories, intellectual property expertise, mentoring networks, entrepreneurship societies, careers services and communities of peers who are also experimenting with ideas. These infrastructures matter because they help transform tentative initiative into sustained entrepreneurial action. When students know that expertise, resources and encouragement exist around them, their willingness to act increases.

The role of place also deserves attention. Entrepreneurship discourse often focuses heavily on global innovation hubs such as London or Silicon Valley, where capital and talent are highly concentrated. These ecosystems undoubtedly provide significant advantages. Yet they also involve intense competition and high barriers to visibility for early-stage founders.

Research on entrepreneurial ecosystems suggests that smaller regions can offer different but equally important advantages. In regional contexts, social networks are often more visible and accessible, and relationships between ecosystem actors may form more quickly (Stam, 2015; Spigel, 2017). Studies of regional entrepreneurial networks show that such environments frequently display dense relational ties and higher levels of trust, which can lower barriers for new entrepreneurs seeking advice, introductions or collaboration (Granovetter, 1985; Feldman & Zoller, 2012). In these ecosystems, universities frequently function as anchor institutions. They concentrate knowledge, talent, infrastructure and legitimacy within a particular place, often acting as catalysts for regional innovation and venture creation (Goddard & Kempton, 2016).

For student entrepreneurs, this combination of place-based networks and institutional support can be powerful. Access to mentors, academics, laboratories and peer communities can enable ideas to move more quickly from concept to experimentation.

Returning to the story that opened this article, the venture did not begin with a fully formed ecosystem. It began with initiative: sending emails, asking questions and seeking conversations. Over time those conversations developed into collaborations that now support the growth of the business.

What began as individual initiative gradually evolved into a network. Entrepreneurship research often focuses on funding, scaling and investment. Yet the earliest stages of venture creation frequently occur long before these elements appear. They occur in moments that are almost invisible: an email written, a conversation initiated, a question asked despite uncertainty.

Self-efficacy plays a critical role in these moments. It allows individuals to act before legitimacy, capital or networks are fully in place. But sustaining entrepreneurial action requires more than individual belief. It requires environments that recognise initiative and respond to it. Universities, mentors, regional ecosystems and institutional infrastructures all contribute to creating contexts where entrepreneurial action becomes possible.

Sometimes the most important entrepreneurial resource is not capital or connections. It is the quiet confidence to begin.

References

Baker, T., & Nelson, R. (2005). Creating something from nothing: Resource construction through entrepreneurial bricolage. Administrative Science Quarterly, 50(3), 329–366. https://doi.org/10.2189/asqu.2005.50.3.329

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioural change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191

Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman.

Chen, C., Greene, P., & Crick, A. (1998). Does entrepreneurial self-efficacy distinguish entrepreneurs from managers? Journal of Business Venturing, 13(4), 295–316. https://doi.org/10.1016/S0883-9026(97)00029-3

Etzkowitz, H. (2003). Research groups as ‘quasi-firms’: The invention of the entrepreneurial university. Research Policy, 32(1), 109–121. https://doi.org/10.1016/S0048-7333(02)00009-4

Feldman, M., & Zoller, T. D. (2012). Dealmakers in Place: Social Capital Connections in Regional Entrepreneurial Economies. Regional Studies, 46(1), 23–37. https://doi.org/10.1080/00343404.2011.607808

Goddard, J., & Kempton, L. (2016). The civic university: Universities in leadership and management of place. Available from https://www.ncl.ac.uk/mediav8/centre-for-urban-and-regional-development-studies/files/the-Civic-University.pdf

Granovetter, M. (1985). Economic action and social structure: The problem of embeddedness. American Journal of Sociology, 91(3), 481–510. https://doi.org/10.1086/228311

Guerrero, M., Urbano, D., & Fayolle, A. (2016). Entrepreneurial activity and regional competitiveness: Evidence from European entrepreneurial universities. Journal of Technology Transfer, 41, 105–131. https://doi.org/10.1007/s10961-014-9377-4

Marvel, M., Davis, J., & Sproul, C. (2016). Human capital and entrepreneurship research: A critical review. Entrepreneurship Theory and Practice, 40(3), 599–626. https://doi.org/10.1111/etap.12136

McGee, J., Peterson, M., Mueller, S., & Sequeira, J. (2009). Entrepreneurial self-efficacy: Refining the measure. Entrepreneurship Theory and Practice, 33(4), 965–988. https://doi.org/10.1111/j.1540-6520.2009.00304.x

Sarasvathy, S. (2001). Causation and effectuation: Toward a theoretical shift from economic inevitability to entrepreneurial contingency. Academy of Management Review, 26(2), 243–263. https://doi.org/10.5465/amr.2001.4378020

Spigel, B. (2017). The relational organization of entrepreneurial ecosystems. Entrepreneurship Theory and Practice, 41(1), 49–72. https://doi.org/10.1111/etap.12167

Stam, E. (2015). Entrepreneurial ecosystems and regional policy: A sympathetic critique. European Planning Studies, 23(9), 1759–1769. https://doi.org/10.1080/09654313.2015.1061484

Zhao, H., Seibert, S., & Hills, G. (2005). The mediating role of self-efficacy in the development of entrepreneurial intentions. Journal of Applied Psychology, 90(6), 1265–1272. https://doi.org/10.1037/0021-9010.90.6.1265

Fourth INRC Symposium: From Clinical Applications to Neuro-Inspired Computation

We cordially invite you to the 4th Symposium of the BU Interdisciplinary Neuroscience Research Centre: From Clinical Applications to Neuro-Inspired Computation on Friday, the 16th of January 2026, 9:30-15:00 at the Lees Lecture Theatre (Talbot Campus, Poole House -outside).

This symposium encompasses a journey from clinical case studies to new, emerging experimental and computational methodologies that underpin future translational applications. It is an opportunity for informal discussions on grant proposals and to explore shared interests with our external guests from the NHS and collaborating EU universities.

The schedule is as follows:

9:30 Coffee

9:50 Opening and Welcome Address

10:00-10.50 Dr Michalis Doumas (Queen’s University Belfast): Sensory integration for postural control in healthy ageing and in people living with Parkinson’s.

10:50 Coffee break

11:00-11:50 Session I. Ageing and Neurodegenerative Disorders

Dr Ioanna Markostamou: Naming spatial relations in typical and atypical ageing: At the crossroads of language and perception.

Dr Catherine Talbot: Dementia in the digital age: exploring the promise and pitfalls of social technologies.

11:50-12.50 Lunch break (no lunch provided, but Talbot Campus facilities available)

12.50-13.40 Dr Andre Rupp (Online Talk): Auditory pitch perception and clinical applications.

13:40 Coffee break

14:00-14.50 Session II: Neuro-inspired computation

Dr Anna Metzger: Understanding haptic perception of objects’ shape and material via DNN modelling.

Dr Hongchuan Yu: Waa3D: an open-source platform to benchmark performance of algorithms for automated neuro tracing in light microscopy datasets.

Concluding Remarks + Invitation to everybody to become a member of the INRC network

If you have any queries, please do not hesitate to contact Ellen Seiss, eseiss@bournemouth.ac.uk or Emili Balaguer-Ballester, eb-ballester@bournemouth.ac.uk.

Thank you very much; we are looking forward to seeing you there.

Kind regards,

Ellen and Emili, on behalf of all of us.

Bournemouth University Cyber Security Researcher Wins Best Poster Award at HISC 2025

Bournemouth University (BU) is proud to announce that PhD Cyber Security researcher Serdar Akar, has been awarded Best Poster Winner at this year’s High Integrity Software Conference (HISC) 2025, held in Newport, Wales.

HISC is a leading international forum that brings together software engineers and industry practitioners to exchange knowledge, address critical challenges, and strengthen the foundations of a trustworthy software ecosystem.

Serdar’s winning poster, titled Towards Productive Cyber Resilience and Safety Analysis in Model-Based Systems Engineering (MBSE), was showcased in the conference’s Future Zone, which highlights innovative research shaping the future of high-integrity software.

Serdar was also recently named the Winner of our BU’s ‘Business Idea Challenge’, organised by the Students’ Union (SUBU). This award recognises a student-led venture that is not only highly feasible but also carries a strong social impact, aligns with the university’s sustainability priorities, and demonstrates impressive potential for future growth.

Serdar said, “To have my work recognised in both academic and entrepreneurial spheres in such a short time is immensely encouraging. It is a great privilege to be able to contribute to the research and innovation environment here at Bournemouth University.

Dr Duncan Ki-Aries at Bournemouth University, commented, “These awards reflect the high calibre of research being undertaken at BU. Serdar’s work contributes to advancing cyber resilience and safety in complex systems, and we are delighted to see it recognised on an international stage.”

Prof Huseyin Dogan mentioned, “There are challenges centred on Model Based Systems Engineering in industry, and we are bridging theoretical benefits with practical applications. Serdar’s PhD will contribute to this domain by integrating cyber resilience and safety analysis through software tool support.”

The recognition underscores Bournemouth University’s commitment to pioneering research towards safer, secure, and more resilient digital infrastructures.

If you’re interested in learning more about these impactful projects, please don’t hesitate to get in contact with Prof. Huseyin Dogan and Dr. Duncan Ki-Aries, and others.

New Cyber Security Advisory Highlights Integration of Safety, Security, and Human Factors in Defence Systems

Following collaborative research on Secure by Design (SbD) conducted by Bournemouth University (BU) and Mima, with the Defence Science and Technology Laboratory (Dstl), a new Cyber Security Advisory has been released. This guidance addresses the complex challenge of balancing security, safety, and human factors in requirements practices.

The project, led by Dr Duncan Ki-Aries and Prof Huseyin Dogan centred on developing and evaluating a Minimum Viable Product (MVP) that demonstrates how these critical domains can be effectively integrated into SbD practices. The goal: to enhance the design of secure, resilient, and user-aware systems for defence applications.

Figure 1. The Secure by Design Process Framework

The advisory outlines key findings from the research, explores the challenges of merging safety and human factors into SbD processes, and offers insights into potential improvements. It also signals directions for future projects aimed at advancing this integration.

Ongoing research at BU will continue to build on this foundation, drawing on the combined expertise of BU and Mima in Human Factors, Security, Systems of Systems Engineering, Safety, and Risk Assessment. This work remains committed to strengthening future defence capabilities through a robust Secure by Design approach.

Figure 2. The project team

From Clinical Applications to Neuro-Inspired Computation

We cordially invite you to the 4th Symposium of the BU Interdisciplinary Neuroscience Research Centre: From Clinical Applications to Neuro-Inspired Computation on Friday, the 16th of January 2026, 9:30-15:00 at the Lees Lecture Theatre (Talbot Campus, Poole House -outside).

The symposium consists of a journey from clinical case studies to new, emerging experimental and computational methodologies underpinning future translational applications. It is an opportunity for informal discussions on grant proposals and to explore shared interests with our external guests from the NHS and collaborating EU universities. The provisional schedule is:

9:30. Coffee.

9:50. Welcome Address and Keynote talk: Dr Mihalis Doumas, Queen’s University Belfast.

10.45-11:00. Coffee Break and Networking.

11:00-11:50. Session I. Clinical Neuroscience.

11.50 -12.50. Lunch and Grants Discussion.

12.50-13:45. Keynote talk: Dr Andre Rupp, University of Heidelberg.

13:45-14:00 Coffee Break and Networking.

14:00-14:50. Session II. Neuro-Inspired Computation.

14:50-15:00. Concluding Remarks and Invitation to become a member of the INRC network.

If you have any queries, please do not hesitate to contact Ellen Seiss, eseiss@bournemouth.ac.uk or Emili Balaguer-Ballester, eb-ballester@bournemouth.ac.uk.

Thank you very much, and we are looking forward to seeing you there.

Kind regards,

Ellen and Emili, on behalf of all of us.

Digital Health and AI: Paving the Way for Health Equity in Maternal and Infant Care

The long awaited 10-year health plan for England emphasises the use of digital technologies and the aspiration to “make the NHS the most AI-enabled health system in the world”. This requires expertise in artificial intelligence and data science, but interdisciplinary collaboration is also essential if we are to make this a reality.

The Maternal and Infant Health Equity Research Centre (MIHERC) aims to do this by bringing together experts in maternal health, behavioural science, AI and digital health to help drive innovative solutions through co-production and real partnership, ensuring better outcomes for all women and babies. MIHERC is led by Professor Hora Soltani at Sheffield Hallam University (SHU) in collaboration with key partners including Bournemouth University (BU), the City of Doncaster Council and South Yorkshire Digital Health Hub.

Alongside Professor Vanora Hundley, who has been appointed as a Capacity Training and Development Lead, Professor Huseyin Dogan and Prof Alessandro Di Nuovo from MIHERC will be co-leading the cross-cutting workstream titled “digital, data, monitoring, evaluation and implementation science” as part of the NIHR Maternity Disparities consortium. This workstreams aims

– to identify and test trusted, reliable AI technologies for deployment by the NHS to help reduce disparities;

– to develop and refine equity monitoring, real-world evaluation and implementation science methods for use in maternity disparities research, with a focus on enhancing their robustness and practical application;

– to embed advanced analytic and digital tools and implementation frameworks into maternity disparities research to improve the rigor and impact of studies on equity; and

– to build a community of practice within and external to consortium to develop analytical, methodological, and implementation science capacity.

The BU key academics are: Huseyin Dogan, Vanora HundleyEdwin van Teijlingen, and Deniz Çetinkaya. Please do get in touch with the MIHERC team for further information.

Bournemouth University Showcases Defence Innovation at BattleLab’s South West Regional Defence & Security Cluster Event

What a brilliant and absolutely packed South West Regional Defence & Security Cluster showcase event at the BattleLab on July 2nd, 2025! The team, led by Professor Huseyin Dogan, proudly showcased Bournemouth University’s capabilities in the defence sector.

The Bournemouth University team included Finn Morgan, Nigel Davies, Serdar Akar, and Egemen Oner, alongside their client, Dr. Shamal Faily from the Defence Science and Technology Laboratory (Dstl). Among the 180 guests and exhibitors, the BU team presented three Dstl-funded projects covering critical areas such as human factors, risk-informed decision-making, and cyber resilience.

   

Featured Dstl-Funded Projects:

  • Tool-support for embedding safety, security, and human factors analysis into Secure by Design requirements.
  • Risk-Informed Decision-Making (RIDM) in Intentional Electromagnetic Interference (IEMI).
  • Towards Productive Cyber Resilience and Safety Analysis in Model-Based System Engineering (MBSE).

Collaboration for Secure by Design Practices

In addition to the BattleLab showcase, Dr. Duncan Ki-Aries and Prof. Huseyin Dogan also partnered with Mima, a human-centred design consultancy. Their collaboration focused on developing and evaluating a Minimum Viable Product (MVP). This MVP demonstrates how safety, security, and human factors analysis can be seamlessly integrated into Secure by Design requirements practices. The tool was successfully demonstrated at the Dstl Portsdown West site in June 2025, further highlighting Bournemouth University’s expertise in developing secure and effective systems for defence applications.

If you’re interested in learning more about these impactful projects, please don’t hesitate to get in touch with Prof. Huseyin Dogan and Dr. Duncan Ki-Aries.

 

Bournemouth University Recognised at IEEE Artificial Intelligence Conference for Work in Human-Centred AI

Professor Huseyin Dogan was honoured with both the Best Service Award and the Best Paper Award at the 2025 IEEE International Conference on Artificial Intelligence held in Silicon Valley, USA. This recognition highlights the importance of Human-Centred AI and Professor Dogan’s valuable contributions to the area.

Professor Dogan travelled to Silicon Valley in May 2025, supported by funding from Google, USA, to lead a special track focused on Human-Centred AI. The track included 24 paper presentations and addressed the crucial need for ethical considerations in the development and application of both autonomous and collaborative Human Centred AI systems.

The conference organisers stated that “these honours are a testament to Prof Dogan’s outstanding contributions and dedication to the field.”

IEEE International Conference on Artificial Intelligence

Bournemouth University’s commitment to shaping the future of User Experience (UX) and Human-Centred AI extends beyond this prestigious conference. Professor Dogan also recently led a highly anticipated workshop at CHI 2025 in Yokohama, Japan, on “Defining a User Experience Research Point of View” also funded by Google. The ACM Conference on Human Factors in Computing Systems (CHI) is globally recognised as the premier international forum for research in human-computer interaction.

This influential CHI workshop was a collaborative effort, organised alongside leading experts in the field: Stephen Giff (Google, USA), Renée Barsoum (Admiral, UK), Elizabeth Churchill (MBZUAI, formerly of Google and the ACM), and Alan Dix (Swansea University, Wales, UK). The participation of such prominent figures highlights the significance of the topic and BU’s contribution to the international research community.

CHI Conference Photo

These recent successes highlight Bournemouth University’s growing influence in the critical field of Human-Centred AI and User Experience research. Through international collaborations and impactful engagement at leading conferences like IEEE AI and CHI, the university is actively contributing to the discussion around developing AI systems that are both effective and aligned with human values.

 

Pioneering Research to Tackle Maternity Disparities: BU Academics Lead Major NIHR Initiative

We’re thrilled to announce that Bournemouth University (BU) is at the forefront of a significant national effort to address inequalities in maternity outcomes. Two distinguished professors from across our faculties, Professor Huseyin Dogan and Professor Vanora Hundley, have been appointed to lead crucial workstreams within the prestigious National Institute for Health and Care Research (NIHR) Maternity Disparities project over the next five years.

This vital initiative aims to make a tangible difference in the lives of mothers and babies by tackling the complex factors that contribute to disparities in maternity care and outcomes.

Professor Huseyin Dogan will co-lead the Digital, data, monitoring, evaluation and implementation science workstream. His expertise will be instrumental in leveraging innovative digital tools and robust data analysis to better understand and address existing inequalities. This workstream will focus on developing effective strategies for monitoring progress and ensuring that evidence-based interventions are successfully implemented in practice. Prof Dogan has also played a pivotal role in curriculum innovation at BU, co-founding several innovative MSc programs, including the UK’s first MSc Digital Health.

Professor Vanora Hundley has been appointed as a Capacity Training and Development Lead. As part of the Capacity Development Group, she will be responsible for developing an ambitious programme to inspire, develop and support the next generation of maternity disparities researchers. Vanora will also oversee the capacity development programme within the MIHERC collaboration. She is an experienced mentor for career young researchers and has received international recognition for her work in mentoring clinical academics: Sigma Nurse Researcher Hall of Fame (2020) and a European Recognition award (2023).

Adding further strength to this ambitious project, Professor Edwin van Teijlingen and Dr Deniz Cetinkaya will also be integral members of the team, providing their expertise and support over the next five years.

This significant involvement in the NIHR Maternity Disparities project is also anticipated to bring substantial research funding to BU, with projections estimating over one million pounds will be secured over the next five years through their respective roles and internal consortium project proposals. This investment will further fuel their research and impact in this critical area.

In a proactive move to lay the groundwork for the NIHR project, the BU team has collaborated with Sheffield Hallam University to establish the Maternal & Infant Health Equity Research Centre (MIHERC). This dedicated centre will serve as a hub for cutting-edge research, collaboration, and knowledge sharing in maternal and infant health equity. We encourage you to explore the centre’s website for more information: https://miherc.org/.

MIHERC is already actively engaged in shaping the discourse around these critical issues. The team has commenced the organisation and chairing of impactful events, including the upcoming Artificial Intelligence for Maternity and Women’s Health and Wellbeing session at the International Conference on Artificial Intelligence in Healthcare (AIiH 2025). Further details about this exciting session can be found here: https://aiih.cc/maternity-and-women-health-wellbeing/.

Locally, the project will benefit from strong collaborations within Dorset. The team is working closely with NHS Dorset and Dorset Women CIC to address inequalities in women’s health.

This collaborative effort has already seen the launch of a valuable Women’s Health resource this month, demonstrating the immediate impact of this work.

The BU team is deeply committed to this crucial research and will continue to keep the wider community informed of their progress and key milestones over the next five years. This initiative represents a significant step forward in our collective efforts to ensure equitable and positive maternity experiences for all. Stay tuned for further updates!

The whole team at Bournemouth University 08.01.25

The whole team at Bournemouth University 08.01.25

Bournemouth University eHealth paper cited 40 times!

Yesterday, ResearchGate alerted us that the paper ‘Midwives’ views towards women using mHealth and eHealth to self-monitor their pregnancy: A systematic review of the literature’ [1] had reached 40 citations!  This paper has four Bournemouth University (BU) authors and one author, Prof. Gary Smith, who was FHSS Visiting Professor at the time of publication.  This literature review, published in 2020, sought midwives’ perspectives on women self-monitoring their pregnancy using eHealth and mHealth.

The paper fund that  midwives generally held ambivalent views towards the use of eHealth and mHealth technologies in antenatal care. They acknowledged the potential benefits of such technologies, such as their ability to modernise antenatal care and to help women make more informed decisions about their pregnancy. However, midwives were quick to point out the risks and limitations of these, such as the accuracy of conveyed information, and negative impacts on the patient-professional relationship.

This paper will contribute to our recently awarded NIHR funding to tackle inequalities in UK maternal healthcare as part of the NIHR Challenge Call: Maternity Disparities Consortium.  Profs Vanora Hundley and Edwin van Teijlingen from the Centre for Midwifery and Women’s Health, and Prof. Huseyin Dogan and Dr. Deniz Cetinkaya from the Department of Computing and Informatics collaborate in MIHERC (Maternal & Infant Health Equity Research Centre).   MIHERC is led by Prof. Hora Soltani at Sheffield Hallam University, and it is a partnership with Bournemouth University, the City of Doncaster Council and South Yorkshire Digital Health Hub as well as several charities and voluntary organisations.  Prof. Dogan has recently been appointed  the co-lead for the “Digital, data, monitoring, evaluation and implementation science” work stream of the NIHR Maternity Disparities consortium.

 

Reference:

  1. Vickery, M., van Teijlingen, E., Hundley, V., Smith, G. B., Way, S., Westwood, G. (2020). Midwives’ views towards women using mHealth and eHealth to self-monitor their pregnancy: A systematic review of the literatureEuropean Journal of Midwifery4(Sept.), 1-11. https://doi.org/10.18332/ejm/126625

 

BU research on road network efficiency reported in Times of India

BU research , led by PhD graduate Dr. Assemgul Kozhabek and Dr. Wei Koong Chai, on characterising efficiency of road networks in big populous cities around the world was covered by the Times of India, the world’s largest selling English-language daily in the world. The article reported the findings from BU’s work, specifically highlighted its insights into the structure, properties and efficiency of road networks in relevant cities in India.

 

Article: “Study rates ‘efficiency’ of city road network” March 17 2025, https://timesofindia.indiatimes.com/city/ahmedabad/study-rates-efficiency-of-city-road-network/articleshow/119086477.cms.

 

BU collaborates with University of Exeter on modelling innovation adoption

Bournemouth University (BU) has collaborated with the University of Exeter on modelling innovation adoption diffusion. The work, led by Dr. Wei Koong Chai in BU, draw on the epidemic theory and model the diffusion dynamics considering (1) the role of network structures in dictating the spread of adoption and (2) how individual’s characteristic/capability influences the path of diffusion (e.g. an individual may have different attitude or ability towards adopting a new innovation). A positive adoption decision is related to the number of neighbors adopting the innovation. The neighbors decisions are, in turn, dependent on their own neighbors and so, it forms a complex cascading inter-dependent relationship between the different individuals in the network. As such, each node in the network is unique and its relevant adoption rate must be considered separately conditioned with the activities occurring in the network over time.

The model offers insights into how the network spectrum affects the innovation exposure rate and spreading of innovation individually and across communities with different adoption behaviours. It also illustrates the effects of the embedded social structure and the characteristics of individuals in the network on the path of innovation diffusion via two use cases: (i) innovation adoption of EU countries in a Single Market Programme and (ii) innovation adoption of specific class of technology (specifically financial technologies (FinTech)).

 

Reference:

Duanmu, JL., Chai, W.K. Modelling innovation adoption spreading in complex networksAppl Netw Sci 10, 10 (2025). https://doi.org/10.1007/s41109-025-00698-8

 

 

Research seminar and tech showcase 12.02.25: ICONIC (Intergenerational Co-design Of Novel technologies In Coastal communities) project

The Ageing and Dementia Research Centre are welcoming colleagues from Plymouth University to talk about the ICONIC project (see more details below) and showcase some of the technologies they have created.

 The team are interested in talking to any BU colleagues who work on co-design/digital health or immersive technologies and AI so please do come along (and let Michelle mheward@bournemouth.ac.uk know if would like to give a short presentation about your research).

 12th February 2025

11-1pm (presentations will be first and then tech showcase)

P222, Poole House, Talbot Campus

ICONIC Project

The ICONIC (Intergenerational Co-design Of Novel technologies In Coastal communities) project is exploring how co-design of novel technologies can support digital inclusion in Cornwall and Devon. The project recruited 99 participants to join intergenerational co-design workshops to create technologies that support access to environment, heritage, and community resources. The technologies include a social game, immersive heritage and underwater experiences, and a voice AI system accessed via a telephone call. The research team will be sharing their insights from the co-design process for each technology and discuss the effects of participation on digital inclusion.

  • Dr Rory Baxter is a Research Fellow at the Centre for Health Technology, University of Plymouth, working on the EPSRC funded Intergenerational Codesign Of Novel technologies In Coastal communities (ICONIC) project to address digital exclusion in Cornwall and Devon. The project involves the intergenerational co-design of technologies for supporting access to heritage, environment, and community resources. His previous work includes the ESRC funded GOALD and ERDF funded EPIC projects, which focused on digital health innovation co-design and evaluation to support healthy ageing. Prior to that he completed an EPSRC funded iCASE PhD, exploring human navigation and search behaviour, during which Rory developed VR-based experimental tasks using Unity, which were adapted for online platforms during the COVID-19 pandemic.
  • Dr Oksana Hagen earned a BSc in Electrical and Computer Engineering from NCTU (Taiwan), MSc in Computer Vision and Robotics through the Erasmus Mundus ViBOT program, and a PhD in Computing at the University of Plymouth. After a brief period in industry, Oksana joined Aldebaran AI Lab (France) under a Marie Curie Fellowship to focus on research in machine learning. She subsequently contributed to social robotics research for AgeIn project at the University of Plymouth. Currently, she is part of the ICONIC project, developing VoiceAI and underwater telepresence applications through co-design. Her research interests include machine learning, robotics and HCI.
  • Dr Marius Varga’s expertise sits at the intersection of game technology and user experience, with a focus on serious games and immersive experiences. Currently, a Research Fellow part of the ICONIC project, using a co-design approach, Marius leads the development of a multiplayer Social Game focused on seagrass conservation and for Extended Reality (XR), he is developing an immersive heritage experience in partnership with National Trust. Marius is also involved in digital health projects such part of Bridging project – focused on using XR training with autistic employees and employers and Glider project – addressing challenges in frailty through robotics, play and immersive technology.
  • Dr Linan Zhang holds an MA in East Asian Studies (Japanese) and an MSc in International Development from the University of Edinburgh. She later earned a PhD with Transtechnology Research at the University of Plymouth, where she developed a philosophical framework to ease the paradigm conflicts in knowledge sharing, drawing inspiration from an international health collaboration, a global health crisis, and the development discourse. She is currently an Associate Lecturer for i-DAT, a Research Fellow in Orbital Science, and the Media and Admin officer for the ICONIC Project at the University of Plymouth. Additionally, she serves as an Associate Editor for Leonardo Review.

New research published on Artificial Empathy in the Metaverse

Dimitrios Buhalis new research published on Artificial Empathy in the Metaverse

Assiouras, I., Laserer; C., Buhalis, D., 2025, The Evolution of Artificial Empathy in the Hospitality Metaverse Era, International Journal of Hospitality Management, Volume 126, April 2025, 104063 https://doi.org/10.1016/j.ijhm.2024.104063

Highlights

  • Artificial empathy of intelligent agents can be strengthened in the metaverse.
  • The experimental nature can hinder the development of artificial empathy.
  • The interoperability is critical for the development of artificial empathy.
  • Enhanced empathy of AI agents in metaverse will improve customers’ reactions.
  • Opportunities and challenges arise in the development of human empathy.

Abstract

As hospitality enters the metaverse era, artificial empathy becomes essential for developing artificial intelligence (AI) agents. Using the empathy cycle model, computational empathy frameworks and interdisciplinary research, this conceptual paper proposes a model explaining how artificial empathy will evolve in the hospitality metaverse era. The paper also addresses customer empathy and responses towards AI agents and other human actors within the hospitality context. It explores how metaverse characteristics such as immersiveness, sociability, experiential nature, interoperability, blended virtual and physical environments as well as environmental fidelity will shape computational models and the evolution of artificial empathy. Findings suggest that the metaverse enables AI agents to form a seamless cycle of detection, resonation, and response to consumers’ affective states, facilitating the evolution of artificial empathy. Additionally, the paper outlines conditions under which the artificial empathy cycle may be disrupted and proposes future research questions that can advance our understanding of artificial empathy.