Research Output Research Articles

Pilot Federated Analysis Projects

The Cambrian explosion of Trusted Research Environments (TREs) will inevitably lead to increased data siloing and potentially decrease achievable data science. Federated access to data is a mitigation against this risk. The presentation will cover two major infrastructure demonstrator projects to address this need and start the UK journey towards interconnected TRE’s. TELEPORT was an infrastructure to connect TREs and allow all the data assets to be seen through a single pane of glass while leaving them in situ; the analysis can be performed on each data asset, as well as combining data from multiple TREs to derive knowledge. The analysis is performed within the construct of a pop-up TRE, which is a temporary project-specific TRE. The data governance model is operated in an as-is state, with all egress controls being applied upon extraction of research output. This method has been termed Federated Data. TREFX is a set of infrastructure based around international GA4GH standards and the RO-CRATE concept to provide a platform to send complex workflows to the TRE’s to be performed upon the data assets, with the output post egress checking to be re-packed into the inbound RO-CRATE prior to being returned to the researcher. This method addresses both federated analysis and method reproducibility. This project was extended to cover ADDI workloads for dementia. Both solutions were jointly developed by Swansea University / SeRP and share common elements. Future work will see both these products being combined into a hybrid approach as well as spin-out products and services.

Practical approaches for engaging the public in a population-level data analysis project.

ObjectiveStewards of population-level data have an obligation to serve the public interest. As one such publicly funded data steward, our Public Advisory Council (PAC) co-led and determined the focus of an analysis project using population-level administrative health data. We describe our engagement strategies herein. ApproachThe 20-member PAC was involved in each stage of the project, from research question formulation to knowledge translation planning over 18 months, consisting of 12 meetings with both large and smaller groups. Our approach to engagement applied the International Association for Public Participation’s Framework as the foundation for an ‘empowerment’ level of engagement and adapted approaches from the James Lind Alliance and the ‘Plan-Do-Study-Act’ cycle. ResultsThe PAC chose to focus their analysis project on factors related to mental health and addiction service use. Four strategies were used and co-designed by members to foster engagement throughout: providing education and guidance, shared and guided brainstorming, building consensus, and responsiveness to feedback and evaluation. PAC members directed how and when these strategies were used, with challenges and lessons learned currently being co-developed into a publicly accessible report. ConclusionsOur work demonstrates the importance and value of public-driven research outputs and the feasibility of integrating public members in the work of data stewards. ImplicationsThe insights and practical strategies generated from this project will be used to guide effective engagement of the public for future analysis projects and to improve trust and social license for other initiatives using population-level data.

The ICES Indigenous Health Data Training Program: Building knowledge and strengthening capacity within Indigenous communities and organizations

Objective and ApproachThe responsible use of population-level health data requires equitable access, and considerations of Indigenous data sovereignty. There is often a baseline level of knowledge and understanding required to access data. To facilitate data access and strengthen capacity within Indigenous communities and organizations, we created the ICES Indigenous Health Data Training Program (IHDTP). ResultsThe IHDTP provides learning opportunities for Indigenous communities and organizational members to gain a better understanding of ICES data with a focus on Indigenous health. It provides an opportunity to gain practical knowledge on the research process, including how to develop a research question, understanding and interpreting research outputs, and knowledge translation. The program offers ongoing one-on-one technical support to participants, as well as the opportunity to submit a research project request for participating communities and organizations. ConclusionsThe IHDPT has been run several times, including both virtually and in-person, with a range of Indigenous partners. The materials presented in each administration of the program were tailored to the partner. Recorded sessions have also been created to allow a greater number of additional Indigenous partners to take the course flexibly. Program participants have indicated that the information learned would be used to advance issues that are important to their communities via policy, advocacy, and planning. ImplicationsThe IHDTP has enabled a variety of Indigenous partners to strengthen their understanding of health data and research to ultimately facilitate equitable and inclusive public health data access.

Literature-based database to inform policy making on marine plastic pollution in ASEAN+3

The ASEAN+3 countries urgently need to present actual data on the state of their marine plastics pollution, so that they can respond to the criticisms of being the top-5 global sources of marine plastics based on modeled predictions, as well as to develop effective response policies based on sound data. While the research outputs on marine plastic pollution have increased spectacularly across these countries, their overall resource capacity to access the data remains lacking. This study describes a robust framework developed to use >700 peer-reviewed research publications from the region that can inform policy-making. First, detailed metadata fields were developed for this database focused on extracting information from the publications that are relevant to regional policy questions being asked to adequately respond to the threats posed by marine plastics. Second, the curation of research publications in this database greatly depended on a team of regional researchers, who were apt in the subject matter and a native language speaker. The latter was critical in the capture of non-English articles to boost the quality of database. Some of the key findings from the broad analyses included the rapid increase in research efforts on marine plastics between 2014 and 2021, which coincided with the growing concerns of this environmental crisis, the dominant publication language was English despite the diversity of countries, and the dominant research topic appeared to be of policy response measures. Overall, the database produced adequate and immediate data, where policy-makers can leverage for urgent actions. For example, the output on the status of marine plastic pollution is ever-increasing, but the region could start to focus on knowledge gaps (e.g., sampling in critical sensitive habitats like seagrasses and coral reefs). Finally, this study presented a comprehensive summary of the current state of marine plastic pollution and knowledge gaps (e.g., technical capacity and equipment) of the region that can facilitate discussions among target audience including the governments as well as international and regional regulating bodies, the research community and plastic waste management professionals.

Bibliometric analysis of research on spinal cord and sacral neuromodulation in spinal cord injury.

Qualitative studies. Spinal cord injury (SCI) is one of the most devastating injuries to the central nervous system that places a major burden on society. Neuromodulation technology involving spinal cord stimulation (SCS) and sacral nerve modulation (SNM) is a promising technique for patients with SCI. However, there has been no bibliometric analysis of research in this field to date. Not applicable. Systematic analyses of countries, institutions, authors, journals, co-cited documents, keywords, genes and diseases were performed. Related gene and disease data from the citexs platform were also reviewed. A total of 7437 articles on SCS and SNM in SCI were retrieved from the Web of Science database. The search time was limited to 1985-01-01 to 2022-12-31. We identified a significant increase in research output on SCS and SNM in SCI in recent years, with a concentrated period of high publication activity. Multiple publications were identified on neuropathic pain, electronic stimulation, TNF, BDNF and STAT3 gene expression, indicating that complications and potential therapeutic strategies for SCI are a key focus in the field. Our study provides insights that may help to advance scientific research and potentially improve outcomes in patients with SCI.

Enhancing Global Biomedical Research: Educational Strategies for Bridging the Gap between HICs and LMICs

There is a pressing need to address the noticeable disparity in biomedical research output between High-Income Countries (HICs) and Low-Middle Income Countries (LMICs). This imbalance raises urgent concerns about equity and the impact on global health. Despite being home to most of the global population, LMICs face numerous challenges that hinder their ability to contribute significantly to research. This review explores the factors contributing to the disparities and proposes potential solutions to address this global imbalance. A comprehensive strategy is needed to tackle the differences in biomedical research productivity between high-income and low-middle-income nations. Enhancing global partnerships, ensuring fair allocation of resources, and prioritizing the development of research capabilities are crucial measures in nurturing a more diverse and influential worldwide biomedical research landscape. Closing this divide is essential for advancing scientific inclusivity and tackling the health issues economically disadvantaged countries face.

Accelerating segmentation of fossil CT scans through Deep Learning

Recent developments in Deep Learning have opened the possibility for automated segmentation of large and highly detailed CT scan datasets of fossil material. However, previous methodologies have required large amounts of training data to reliably extract complex skeletal structures. Here we present a method for automated Deep Learning segmentation to obtain high-fidelity 3D models of fossils digitally extracted from the surrounding rock, training the model with less than 1%-2% of the total CT dataset. This workflow has the capacity to revolutionise the use of Deep Learning to significantly reduce the processing time of such data and boost the availability of segmented CT-scanned fossil material for future research outputs. Our final Unet segmentation model achieved a validation Dice similarity of 0.96.

Resisting research evidence-base deficits: a comprehensive analysis of a leading English association journal over a decade

ABSTRACT This paper considers the research evidence-base informing teaching practice and policy in subject English in schools. We explore the Australian Journal of English Education, the flagship research publication from the Australian Association of Teachers of English, at a time when an evidence-base is in high demand. Our aim is to understand the research outputs that are valued by the authors, editors, reviewers and readers of this association journal. We analyse the research published from the release of the Australian Curriculum English in 2014, until the end of 2022. We deduce the particular topic contributions made in 139 research articles according to the message systems of curriculum, pedagogy and assessment. We also consider the theories, methods and recommendations made in the light of increasingly recognised deficits in the research evidence base around knowledge, efficacy and application. Our findings indicate robust engagement with highly contextualised research making visible the transformative work of English teachers.

Evaluation of University Ranking System to Propose a Model for Bangladeshi Universities

This study investigates and compares various university ranking systems, particularly considering the unique situation of Bangladesh. With the rise of globalization and emphasis on research in the knowledge-based economy, university rankings have gained significant attention. However, different organizations use diverse criteria and methodologies, leading to discrepancies in ranking positions. This research employed a two-phase approach. The first phase involved a systematic literature review focusing on globally used indicators and methodologies for university rankings. This phase revealed that research-related indicators hold the highest weightage (67.93%) in most ranking systems. Subsequently, the second phase utilized active ranking algorithms to explore the findings from the first phase. The study concludes that research output significantly influences a university's ranking and competitiveness globally. Considering Bangladesh's lower publication volume compared to other nations, adopting a ranking system like QS or THEWUR could be beneficial. This system aligns with the global focus on research output and could incentivize research efforts within Bangladeshi universities.

Progress and research trends in lumpy skin disease based on the scientometric assessment – a review

Abstract Background Lumpy skin disease (LSD) has been a significant concern in veterinary medicine since its discovery. Despite decades of research, understanding the full spectrum of this disease remains a challenge. To address this gap, a comprehensive analysis of the existing body of knowledge on LSD is essential. Bibliometric analysis offers a systematic approach towards the mapping of research landscape, identifying key contributors, and uncovering emerging trends in LSD research. Objective This study aims to conduct a thorough bibliometric analysis spanning from 1947 to till the present date in order to map the knowledge domain of LSD. The objective is to gain insights into the global research trends, identify influential contributors, explore collaboration networks, and predict future outlook in LSD research. Method Data extracted from the Scopus database was used to perform a bibliometric analysis. 341 relevant documents were selected for analysis. Bibliometric indicators, including publication numbers, citation counts, and the h-index, were utilized to assess the comprehensive contributions of nations, organizations, authors, and source titles. Additionally, cooperation networks between countries, organizations, and authors were visualized using the VOSviewer tool. Results The analysis revealed a significant increase in research output on LSD, with a notable growth rate of 19.26%. Since its discovery in Zambia in 1929, LSD research has grown steadily, with an average annual growth rate of 5.21%. The University of Pretoria and the Federal Centre for Animal Health emerged as the most active institutions and organizations in LSD research. The Journal of Virology was identified as the most cited journal, reflecting its significant impact on the field, and a strong international collaboration was observed between the United Kingdom and South Africa. Conclusion This study provides valuable insights into the global research landscape of LSD, highlighting key trends, contributors, and collaboration networks. By reviewing decades of research, this analysis enhances our understanding of LSD and serves as a foundation for future research endeavours. The findings of this study will aid researchers in navigating the vast literature on LSD, ultimately contributing to advancements in veterinary medicine and disease management strategies.

COVID-19 pandemic & neurosciences in India- the CoINstudy: Impact of the pandemic on research related to the neurosciences.

Background & objectives We aimed to assess the impact of COVID-19-related disruptions on ongoing and future projects related to neuroscience research and young researchers in India. Methods We conducted a countrywide online survey using a structured, self-administered questionnaire involving medical trainees, post-doctoral fellows, PhD students, early career faculty members and basic neuroscience researchers. The purpose was to assess the impact of the COVID-19 pandemic on the respondents' ongoing/planned research activities and capture their concerns related to future research. Results Five hundred and four valid responses were analyzed. More than three-fourths of the respondents were in their early careers - 64.1 per cent were resident doctors, and 19.8 per cent were early career consultants. Maximum responses were received from respondents working in neurology (228; 45.2%), followed by psychiatry (192; 38.1%) and neurosurgery (49; 9.7%). More than three-fourths [83.5%, 95% confidence interval (CI): 0.8-0.867] of the respondents reported that the pandemic had affected their research. About one-third of the respondents (171; 33.9%) reported delays in completing research studies. Respondents adapted to the pandemic's circumstances by making methodological changes in their research (155; 30.8%). Most respondents (301; 59.6%) reported being diverted from their traditional work settings to COVID-19-related clinical services. Respondents conducting prospective studies and randomized controlled trials and those diverted to COVID-related services were significantly more likely to report the adverse research impact. Interpretation & conclusions In our survey, an overwhelming majority of the respondents reported that the pandemic adversely impacted their study. This trend was independent of sex, designation, and research output of individual subjects. The serious impact of the COVID-19 pandemic on neurosciences research warrants the attention and concerted efforts of the research supervisors, institutional heads, funding agencies and other stakeholders.

Regulatory solutions to alleviate the risks of generative AI models in qualitative research

ABSTRACT Generative AI models, with their enhanced capacity for conversation, will soon find widespread applications in qualitative research, especially in the disciplines of social science and public policy. Although researchers guarantee the confidentiality of the data, the tools they use for data analysis are largely their choice and remain unregulated, raising serious ethical concerns. Prior research has established the potentially hazardous effects of such transformative architecture on research integrity and ethics; however, the interventions required to alleviate the risks that impact the 3Rs – Reviewers, Researchers, and Research Respondents – have not yet been studied. Initially, we analysed the potential risks associated with Large Language Models (such as GPTs) by examining scientific publications. We then had a ‘risk workshop’ with four qualitative researchers, followed by open-ended interviews with seven individuals from the 3 R impact groups to develop the various risk scenarios. We compare these risks to the AI-related policies of the European Union, Singapore, the United States, the United Kingdom and China to identify regulatory gaps. The research output illustrates potential regulatory interventions on a continuum, with nodality-based soft laws at one end and more extensive regulatory interventions (hard laws) at the other for various LLM applications in qualitative research.

Female-dominated disciplines have lower evaluated research quality and funding success rates, for men and women.

We use data from 30 countries and find that the more women in a discipline, the lower quality the research in that discipline is evaluated to be and the lower the funding success rate is. This affects men and women, and is robust to age, number of research outputs, and bibliometric measures where such data are available. Our work builds on others' findings that women's work is valued less, regardless of who performs that work.

The global evolution and impact of systems biology and artificial intelligence in stem cell research and therapeutics development: a scoping review.

Advanced bioinformatics analysis, such as systems biology (SysBio) and artificial intelligence (AI) approaches, including machine learning (ML) and deep learning (DL), is increasingly present in stem cell (SC) research. An approximate timeline on these developments and their global impact is still lacking. We conducted a scoping review on the contribution of SysBio and AI analysis to SC research and therapy development based on literature published in PubMed between 2000 and 2024. We identified an 8 to 10-fold increase in research output related to all 3 search terms between 2000 and 2021, with a 10-fold increase in AI-related production since 2010. Use of SysBio and AI still predominates in preclinical basic research with increasing use in clinically oriented translational medicine since 2010. SysBio- and AI-related research was found all over the globe, with SysBio output led by the (US, n = 1487), (UK, n = 1094), Germany (n = 355), The Netherlands (n = 339), Russia (n = 215), and France (n = 149), while for AI-related research the US (n = 853) and UK (n = 258) take a strong lead, followed by Switzerland (n = 69), The Netherlands (n = 37), and Germany (n = 19). The US and UK are most active in SCs publications related to AI/ML and AI/DL. The prominent use of SysBio in ESC research was recently overtaken by prominent use of AI in iPSC and MSC research. This study reveals the global evolution and growing intersection among AI, SysBio, and SC research over the past 2 decades, with substantial growth in all 3 fields and exponential increases in AI-related research in the past decade.

Exploring molecular mechanisms of exercise on metabolic syndrome: a bibliometric and visualization study using CiteSpace.

To investigate the molecular mechanisms through which exercise influences metabolic syndrome (MS) and identify key research trends and collaborative networks using bibliometric and visualization techniques. We conducted a systematic literature search using the Web of Science Core Collection for articles published from 2014 to 2023. Using CiteSpace, we performed a bibliometric analysis of 562 eligible papers, generating visual knowledge maps to identify prevailing patterns, popular subjects, and emerging trends in the literature. The study reveals that exercise mitigates MS by reversing high-fat diet-induced abdominal obesity, reducing lipid accumulation and inflammation, enhancing insulin sensitivity, and improving cardiovascular function. Key molecular pathways include PPAR-γ/CPT-1/MCAD signaling, AMPK activation, and nitric oxide production. The USA leads in research output, with significant contributions from American institutions. Collaboration among researchers is limited, highlighting the need for more extensive and high-quality research initiatives. Regular, moderate-to-high-intensity exercise is crucial for managing MS. Exercise activates beneficial molecular pathways, improving metabolic health and cardiovascular function. Future research should focus on expanding collaborations and exploring novel molecular targets to enhance the therapeutic potential of exercise in metabolic syndrome management.

Altmetric coverage of health research in Ireland 2017-2023: a protocol for a cross-sectional analysis.

Scientific publications have been growing exponentially, contributing to an oversaturated information environment. Quantifying a research output's impact and reach cannot be solely measured by traditional metrics like citation counts as these have a lag time and are largely focused on an academic audience. There is increasing recognition to consider 'alternative metrics' or altmetrics to measure more immediate and broader impacts of research. Better understanding of altmetrics can help researchers better navigate evolving information environments and changing appetites for different types of research. Our study aims to: 1) analyse the amount and medium of Altmetric coverage of health research produced by Irish organisations (2017 - 2023), identifying changes over time and 2) investigate differences in the amount of coverage between clinical areas (e.g., nutrition vs. neurology). Using Altmetric institutional access, we will gather data on research outputs published 1 January 2017 through 31 December 2023 from active Irish organisations with Research Organisation Registry (ROR) IDs. Outputs will be deduplicated and stratified by their Australian and New Zealand Standard Research Classification relating to ≥1 field of health research: Biological Sciences, Biomedical and Clinical Sciences, Chemical Sciences, Health Sciences, and Psychology. We will clean data using R and perform descriptive analyses, establishing counts and frequencies of coverage by clinical area and medium (e.g., traditional news, X, etc.); data will be plotted on a yearly and quarterly basis where appropriate. Improved understanding of one's information environment can help researchers better navigate their local landscapes and identify pathways for more effective communication to the public. All R code will be made available open-source, allowing researchers to adapt it to evaluate their local landscapes.

Beyond Borders: The Accelerating Momentum of Domestic Violence Research Worldwide

This paper covers publication trends, co-author networks, and research keyword co-occurrences on academic research related to domestic violence between 2000 and 2023. Throughout these years, first, the number of published articles dealing with this topic was very limited, from just four articles in the year 2000 to 37 in 2013. Still, after an imposing surge in publications registered after 2013, particularly between 2020 and 2023, the numbers increased from 217 to 653, establishing a significantly increased impact on the reviewed issue at a global level. This network identifies some central figures in the research community, such as Gene Feder, Louise M. Howard, and Nicky Stanley among others. It underlines the existence of collaboration clusters around issues such as gender, domestic violence, mental health, and social work, hence emphasizing the very essence of interdisciplinary research. Through keyword co-occurrence analysis, the word cloud shows some central themes to include intimate partner violence and the effect of COVID-19 on different population focuses, including strong qualitative research methods. The second word cloud, that of author affiliation, demonstrates the concentration of research output by leading institutions, with a high volume emanating from the UK, but also global collaboration - significant contributions from universities in Australia being one of them. Domestic violence is a complicated issue that affects individuals and communities of all ages, genders, sexual orientations, educational backgrounds, and more. These terminological complications in defining domestic violence can result in confusion during the practice of identification, assessment, and intervention. This study follows a holistic approach to bibliometrics in reviewing scholarly literature on domestic violence by drawing on data from Lens.org along with the visualization tools of VOSviewer. Improvement in understanding the domestic violence research landscape, major contributors, collaboration patterns, and the gap in research is what this study attempts to address. A total of 92,443 documents in their study were filtered to 2,362 scholarly works that included research articles published from 1999 up to 2023. The findings indicate the important factors of institutions and countries, the necessity of interdisciplinary-wise collaboration, and emerging hotspots of research. A bibliometric approach emphasizes that for effective intervention and prevention, there is a need for systematic reviews and synthesis of the available literature to provide informed evidence-based policy and practice in the context of domestic violence.

Two decades of progress in glioma methylation research: the rise of temozolomide resistance and immunotherapy insights.

This study aims to systematically analyze the global trends in glioma methylation research using bibliometric methodologies. We focus on identifying the scholarly trajectory and key research interests, and we utilize these insights to predict future research directions within the epigenetic context of glioma. We performed a comprehensive literature search of the Web of Science Core Collection (WoSCC) to identify articles related to glioma methylation published from January 1, 2004, to December 31, 2023. The analysis included full-text publications in the English language and excluded non-research publications. Analysis and visualization were performed using GraphPad Prism, CiteSpace, and VOSviewer software. The search identified 3,744 publications within the WoSCC database, including 3,124 original research articles and 620 review articles. The research output gradually increased from 2004 to 2007, followed by a significant increase after 2008, which peaked in 2022. A minor decline in publication output was noted during 2020-2021, potentially linked to the coronavirus disease 2019 pandemic. The United States and China were the leading contributors, collectively accounting for 57.85% of the total research output. The Helmholtz Association of Germany, the German Cancer Research Center (DKFZ), and the Ruprecht Karls University of Heidelberg were the most productive institutions. The Journal of Neuro-Oncology led in terms of publication volume, while Neuro-Oncology had the highest Impact Factor. The analysis of publishing authors revealed Michael Weller as the most prolific contributor. The co-citation network analysis identified David N. Louis's article as the most frequently cited. The keyword analysis revealed "temozolomide," "expression," "survival," and "DNA methylation" as the most prominent keywords, while "heterogeneity," "overall survival," and "tumor microenvironment" showed the strongest citation bursts. The findings of this study illustrate the increasing scholarly interest in glioma methylation, with a notable increase in research output over the past two decades. This study provides a comprehensive overview of the research landscape, highlighting the importance of temozolomide, DNA methylation, and the tumor microenvironment in glioma research. Despite its limitations, this study offers valuable insights into the current research trends and potential future directions, particularly in the realm of immunotherapy and epigenetic editing techniques.

Transforming researchers into writers through a series of semi-structured writing retreats: a mixed methods study

AimTo evaluate the experience and effectiveness of six semi-structured writing retreats on research publication quantity and quality for nursing and midwifery academics and research students.BackgroundResearch publications are necessary to develop a track record to gain competitive funding and for promotion. Publications also improve the standing of universities because their performance is measured in-part by research outputs. However, there are challenges to writing for publication, especially for new nursing and midwifery academics and research students. Therefore, four of the authors initiated semi-structured writing retreats to support nursing and midwifery academics and research students to overcome these challenges.MethodsA mixed methods exploratory sequential design consisting of two distinct phases and data collection methods. In phase one, an online evaluation was administered to collect participant experiences which were then analysed using content analysis. In phase two, data about the quantity and quality of publications arising from each retreat was collected, and descriptive statistics performed.ResultsA total of 70 participants responded to the online evaluation. Qualitative analysis of their responses demonstrated that the writing retreats were highly valued as they offered a collaborative environment with dedicated time to focus on writing for publication. Quantitative analysis identified 81 publications were planned over the six writing retreats. Of these, 60 have been published, 5 are under review, 5 have not yet been submitted, and 11 were abandoned.ConclusionsFindings demonstrated that our six semi-structured writing retreats enabled and developed nursing and midwifery academics and research students writing for publication. Semi-structured writing retreats are a research investment that enabled preparation of high-quality publications by offering protected time to write, expert peer review and collaboration and networking opportunities.

Enhancing business education: neurodiversity informed faculty development practices

Purpose This paper aims to explore the importance of tailored faculty development for neurodiverse business educators. It focuses on how specialized support can enhance research output, teaching effectiveness and service contributions within the academic community. Design/methodology/approach This paper’s conceptual approach uses elements of autoethnography to inform and support prior theoretical and empirical work. An explication of how neurodiversity can be integrated into faculty development efforts is presented with emphasis on individualized support systems, empathetic mentorship and customized teaching and research support strategies to leverage often unrecognized abilities. Findings The research identifies that neuroatypical faculty possess certain strengths such as heightened problem-solving skills and attention to detail, which, when supported, can significantly enrich the academic environment. However, there is a lack of targeted support mechanisms for, and general awareness of, these faculty. The paper proposes modifications to existing faculty development activities, emphasizing general and individualized approaches to better harness the talents of neurodiverse educators. Practical implications Implementing the proposed strategies will foster an inclusive educational atmosphere while enhancing academic creativity, innovation and productivity. This approach also aligns with important trends in diversity and inclusion, promoting a more equitable and dynamic academic environment. Originality/value This research contributes to the field by extending the discourse on neurodiversity in higher education beyond student-focused initiatives to include faculty development. It provides actionable strategies to create inclusive environments that leverage the cognitive strengths of neurodiverse faculty, a relatively unexplored area in business education.