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UF team develops AI tool to make genetic research more comprehensive
University of Florida researchers are addressing a critical gap in medical genetic research — ensuring it better represents and benefits people of all backgrounds. Their work, led by Kiley Graim, Ph.D., an assistant professor in the Department of Computer & Information Science & Engineering, focuses on improving human health by addressing "ancestral bias" in genetic data, a problem that arises when most research is based on data from a single ancestral group. This bias limits advancements in precision medicine, Graim said, and leaves large portions of the global population underserved when it comes to disease treatment and prevention. To solve this, the team developed PhyloFrame, a machine-learning tool that uses artificial intelligence to account for ancestral diversity in genetic data. With funding support from the National Institutes of Health, the goal is to improve how diseases are predicted, diagnosed, and treated for everyone, regardless of their ancestry. A paper describing the PhyloFrame method and how it showed marked improvements in precision medicine outcomes was published Monday in Nature Communications. Graim, a member of the UF Health Cancer Center, said her inspiration to focus on ancestral bias in genomic data evolved from a conversation with a doctor who was frustrated by a study's limited relevance to his diverse patient population. This encounter led her to explore how AI could help bridge the gap in genetic research. “If our training data doesn’t match our real-world data, we have ways to deal with that using machine learning. They’re not perfect, but they can do a lot to address the issue.” —Kiley Graim, Ph.D., an assistant professor in the Department of Computer & Information Science & Engineering and a member of the UF Health Cancer Center “I thought to myself, ‘I can fix that problem,’” said Graim, whose research centers around machine learning and precision medicine and who is trained in population genomics. “If our training data doesn’t match our real-world data, we have ways to deal with that using machine learning. They’re not perfect, but they can do a lot to address the issue.” By leveraging data from population genomics database gnomAD, PhyloFrame integrates massive databases of healthy human genomes with the smaller datasets specific to diseases used to train precision medicine models. The models it creates are better equipped to handle diverse genetic backgrounds. For example, it can predict the differences between subtypes of diseases like breast cancer and suggest the best treatment for each patient, regardless of patient ancestry. Processing such massive amounts of data is no small feat. The team uses UF’s HiPerGator, one of the most powerful supercomputers in the country, to analyze genomic information from millions of people. For each person, that means processing 3 billion base pairs of DNA. “I didn’t think it would work as well as it did,” said Graim, noting that her doctoral student, Leslie Smith, contributed significantly to the study. “What started as a small project using a simple model to demonstrate the impact of incorporating population genomics data has evolved into securing funds to develop more sophisticated models and to refine how populations are defined.” What sets PhyloFrame apart is its ability to ensure predictions remain accurate across populations by considering genetic differences linked to ancestry. This is crucial because most current models are built using data that does not fully represent the world’s population. Much of the existing data comes from research hospitals and patients who trust the health care system. This means populations in small towns or those who distrust medical systems are often left out, making it harder to develop treatments that work well for everyone. She also estimated 97% of the sequenced samples are from people of European ancestry, due, largely, to national and state level funding and priorities, but also due to socioeconomic factors that snowball at different levels – insurance impacts whether people get treated, for example, which impacts how likely they are to be sequenced. “Some other countries, notably China and Japan, have recently been trying to close this gap, and so there is more data from these countries than there had been previously but still nothing like the European data," she said. “Poorer populations are generally excluded entirely.” Thus, diversity in training data is essential, Graim said. "We want these models to work for any patient, not just the ones in our studies," she said. “Having diverse training data makes models better for Europeans, too. Having the population genomics data helps prevent models from overfitting, which means that they'll work better for everyone, including Europeans.” Graim believes tools like PhyloFrame will eventually be used in the clinical setting, replacing traditional models to develop treatment plans tailored to individuals based on their genetic makeup. The team’s next steps include refining PhyloFrame and expanding its applications to more diseases. “My dream is to help advance precision medicine through this kind of machine learning method, so people can get diagnosed early and are treated with what works specifically for them and with the fewest side effects,” she said. “Getting the right treatment to the right person at the right time is what we’re striving for.” Graim’s project received funding from the UF College of Medicine Office of Research’s AI2 Datathon grant award, which is designed to help researchers and clinicians harness AI tools to improve human health.
Giving with Purpose This Holiday Season
As the season of giving draws near, many people are searching for meaningful ways to support the causes that matter most. From local food banks to global humanitarian organizations, charitable giving offers an opportunity to make a genuine difference – for the organization and for the donor. Two Baylor University experts in consumer behavior and philanthropy – James A. Roberts, Ph.D., The Ben H. Williams Professor of Marketing in the Hankamer School of Business, and Andrew P. Hogue, Ph.D., associate dean in the Office of Engaged Learning and founder of Philanthropy and the Public Good program – share five practical strategies to help donors give with intention and impact. Five ways to give more thoughtfully and effectively 1. Choose a cause that resonates with you Begin by considering the issues that matter most –education, hunger, health care, the environment or another area close to your heart. Once you identify your passion, take time to research organizations working in that space. Look for transparency, measurable results and a strong record of directing funds to mission-focused programs. “A helpful shortcut is to see whether a nonprofit receives repeat grants from charitable foundations,” Hogue said. “Those grants typically follow a rigorous evaluation process.” 2. Decide what you can comfortably give Giving should feel fulfilling, not stressful. Roberts and Hogue recommend reviewing your household budget and determining an amount that fits comfortably. Even small donations can accumulate into meaningful support over time. 3. Consider how often you want to give Think about whether a single contribution or ongoing support works best for you. Regular giving helps nonprofits plan ahead and maintain steady programming. “Consistent donations allow charities to allocate resources more effectively throughout the year,” Hogue said. 4. Automate your contributions Setting up recurring gifts through your bank or directly with a nonprofit keeps your generosity on track with minimal effort. Automatic withdrawals ensure reliability for the organization and ease for the donor. “It’s a simple way to make sure you don’t forget to give,” Roberts said, “and it provides charities with predictable support.” 5. Offer your time and talent if money is tight Financial support is just one form of generosity. Time, skills and personal networks can be equally valuable. “Donating your time and skills can be just as impactful,” Roberts said. “Whether you’re mentoring, sorting donations or helping at events, your presence matters.” Hogue added that giving enriches both the recipient and the giver: “Charitable giving is about making a difference in others’ lives while adding purpose and connection to your own.” His advice: start small, stay consistent and simply take the first step. “Giving is deeply rewarding,” Hogue said. “And as you grow in your generosity, keep a beginner’s mindset – there is always room to improve how we steward the resources entrusted to us.” Looking to know more or arrange an interview? Simply click on the expert's icon below or contact: Shelby Cefaratti-Bertin today.
One AI-based advancement at a time, UF leaders are transforming the sports industry
As emerging technologies like AI reshape sport industries and professional demands evolve, it is essential for students to graduate with the expertise to thrive in their future careers. To ensure that these students are set up for success, the UF College of Health & Human Performance has launched a new sports analytics program. Led by Scott Nestler, Ph.D., CAP, PStat, a professor of practice in the Department of Sport Management and a national analytics and data science expert, the program ties back to the UF & Sport Collaborative – a five-part project intended to elevate UF’s presence on the global stage in sports performance, healthcare and communication. “Tools and insights that previously were only available to professional sports teams are now coming to the college level, and it makes sense for universities to begin using these data, technologies and new analytic methods,” Nestler said. The sports analytics program fosters collaboration between academic units, such as the Warrington College of Business and the University Athletic Association, helping bridge the gap between sport research and innovation and empowering students to address real-world challenges through data and AI. For example, the program offers opportunities to leverage technology and analytics for strategic decision making in player acquisition, team formation and in-game decisions. Beyond performance metrics, the program also explores marketing strategies and revenue analytics, providing a well-rounded understanding of the field. “When you have enough data and a large enough sample of individuals, AI can help make predictions that otherwise would take prohibitively longer for a human to accomplish with traditional methods,” said Garrett Beatty, Ph.D., the assistant dean for innovation and entrepreneurship and an instructional associate professor in the College of Health & Human Performance’s Department of Applied Physiology and Kinesiology. “Because those data volumes are getting so large, AI models, machine learning, deep learning and other strategies can be leveraged to make sense and glean insights from sport and human performance data in ways that have never been done before.” The program seeks to offer several educational opportunities, such as individual courses, certificate programs and potentially a full degree program. In the long term, Nestler envisions the program evolving into a center or institute, beginning with establishing a research lab in the spring. Additionally, the program will leverage the university’s supercomputer, HiPerGator, to analyze larger data sets and use newer predictive modeling machine learning algorithms. “As faculty and staff move from working with box score and play-by-play data to using tracking data, which contains coordinates of all players and the ball on the field or court tens of times per second, the size of data files in sports analytics has grown tremendously,” Nestler said. “HiPerGator, with its large storage capacity and multiple central processing units/graphic processing units, is ideal for using in sports analytics work in 2025.” Nestler also aims to increase student involvement by enhancing UF’s Sport Analytics Club and hiring research assistants to work on projects for the University Athletic Association. “We need to take a broader view of what AI is and realize that it incorporates a lot of what we’ve been calling data science and analytics in the form of machine learning models, which came more out of statistics and computer science. Those are types of AI and those that I think will largely continue to be used in the coming years within the sports space,” Nestler said. “Also, we’re continuing to see growth in the number of people interested in working in this space, and I don’t foresee that changing. Fortunately, we are also seeing the number of opportunities available to those with the appropriate skills increase as well.”
Proteins, often called the building blocks of life, play a central role in drug development. When scientists develop new treatments, they must understand how drugs interact with proteins involved in disease mechanisms and with proteins in the human body that influence drug response. Scientists commonly use cryo-electron microscopy (cryo-EM) 3D imaging data to study proteins. While recent advances have enabled higher-resolution images that are easier to analyze, medium-resolution images—which are more difficult to interpret—are still the most common for larger protein complexes. Salim Sazzed, Ph.D., an assistant professor in the computer science department of Georgia Southern University’s Allen E. Paulson College of Engineering and Computing, has been awarded a two-year National Science Foundation grant of about $175,000 to lead a groundbreaking project to develop novel Artificial Intelligence (AI) techniques for determining protein secondary structures from medium-resolution cryo-electron microscopy (cryo-EM) images. Improved modeling from medium-resolution images will help researchers study more proteins efficiently, giving new insights into diseases and potentially guiding the development of new treatments and future drugs. At its core, this research will combine biology and machine learning to study protein structures. The multidisciplinary approach and potential impacts on public health are what most excite Sazzed. “The impetus behind this research is the positive impact on public health and possibly contributing to the biomedical workforce,” he said. “Seeing biology and computer science combine for that kind of impact is incredibly moving.” As the Principal Investigator (PI) for the project, Sazzed will use his expertise in deep learning computer models to focus on a major challenge in structural biology: identifying the two main secondary structures of proteins—the alpha helix and the beta sheet. These structures are critical for a protein’s overall shape and function, but in medium-resolution cryo-EM images they often appear indistinct or lack clear detail, making them particularly difficult to analyze. Sazzed’s research will focus on two main goals. First, he will quantify the variability of alpha helices and beta sheets in medium-resolution images, comparing them to idealized structures. Second, by integrating this structural variability with the image data in a deep learning model, he will aim to generate more precise and accurate representations of protein secondary structures. “When we feed this information into a deep learning model along with the image data, the model should be able to determine protein secondary structures more precisely,” Sazzed elaborated. Sazzed believes students will greatly benefit from this multi-disciplinary approach. In addition to a Ph.D. student, several undergraduate students will be directly engaged in the research. A full-day workshop will also be organized, allowing Georgia Southern students from diverse disciplines to participate. This initiative will build on Georgia Southern’s strong tradition of involving undergraduates in research and will support the University’s recent focus on biomedical and health sciences. “There are many different knowledge areas coming together in this work,” Sazzed said. “It involves computer science, biology, chemistry, and even public health. I look forward to students following the research and exploring these different fields themselves.” Allen E. Paulson College of Engineering & Computing Interim Associate Dean of Research, Masoud Davari, Ph.D., echoes this sentiment and emphasizes its importance to the University’s research profile. “Sazzed’s interdisciplinary research, which bridges the gap between biology and computer science, will foster multidisciplinary research in our college—as it is cutting-edge and potentially groundbreaking in drug development to impact people’s lives nationally and globally,” Davari said. “It’s also well aligned with the college’s strategic research plan—as we make the move to R1 status to be aligned with ‘Soaring to R1,’ which is among the transformational initiatives for the University.” Looking to know more about Georgia Southern University or connect with Salim Sazzed — simply contact Georgia Southern's Director of Communications Jennifer Wise at jwise@georgiasouthern.edu to arrange an interview today.
The University of Florida’s ‘AI Queen’ is using AI technology to help prevent dementia
To help the 50 million people globally who live with dementia, the National Institute on Aging is finding researchers to develop tech-based breakthroughs that target the disease — researchers like the University of Florida’s “AI Queen.” It’s a fitting nickname for Aprinda Indahlastari Queen, Ph.D., who is applying artificial intelligence technology to study transcranial direct current stimulation, or tDCS — a technique that involves placing electrodes on the scalp to deliver a weak electrical current to the brain — as a possible way to prevent dementia. The assistant professor in the UF College of Public Health and Health Professions’ Department of Clinical and Health Psychology is using UF’s supercomputer, HiPerGator, to perform neuroimaging and machine learning analyses to study how anatomical differences may affect tDCS outcomes. “Investigating working memory in patients with mild cognitive impairment offers an opportunity to understand how cognitive processes are disrupted in the early stages of Alzheimer’s disease,” said Queen, whose study — funded by a National Institute on Aging research career development grant — integrates neuroimaging with information on brain structure that is unique to older adults and those with mild cognitive impairment. Refining the treatment with AI Using neuroimaging, Queen captures real-time changes during tDCS to the parts of the brain associated with working memory, which is the type of memory that allows humans to temporarily keep track of small amounts of information. Think of this as a mental “scratchpad.” Her study includes older adults with mild cognitive impairment as well as individuals who are cognitively healthy. In tDCS, a safe, weak electrical current passes through electrodes placed on a person’s head. The stimulation is being used in research and clinical settings for a variety of conditions and has shown partial success as a nonpharmaceutical intervention that can improve cognitive and mental health in older adults. But tDCS results can vary across individuals, and the suspected cause is both simple and complex: Everyone’s head is different. “One potential reason tDCS may not work for some individuals is the variation in head tissue anatomy, including differences in brain structure,” Queen said. “Since electrical stimulation must travel through multiple layers of tissue to reach the brain, and every individual’s anatomy is unique, these differences likely affect outcomes.” To address this further, Queen is using AI. “Artificial intelligence will play a major role in the modeling pipeline, including constructing individualized head models, conducting predictive analyses to identify which participants will respond to the stimulation, and disentangling multiple individual factors that may contribute to these outcomes,” Queen said. An estimated 10 to 20% of adults over age 65 have memory or thinking problems characterized as mild cognitive impairment. Their symptoms are not as severe as Alzheimer’s disease and other dementias, but they may be at increased risk for developing dementia. “The fact that not all individuals with mild cognitive impairment progress to Alzheimer’s disease emphasizes the need to identify effective interventions that can slow the progression to dementia,” Queen said. “This project presents an opportunity to differentiate between multiple types of mild cognitive impairment and investigate how tDCS affects the brain across these subtypes.” An AI visionary Queen, who joined the UF faculty under the university’s AI hiring initiative, is an instructor in the College of Public Health and Health Professions’ undergraduate certificate program in AI and public health and health care, and the co-chair of the college’s AI Workgroup. She is also the assistant director for computing and informatics at the UF Center for Cognitive Aging and Memory Clinical Translational Research and a member of UF’s McKnight Brain Institute. Queen received her Ph.D. training in engineering with a focus on building and running computational models to investigate medical devices. She experienced a career “a-ha” moment as a postdoc, when she was a co-investigator on a large clinical trial that paired brain stimulation with cognitive training to enhance cognition in older adults. “This experience was transformative for me. I had the chance to interact directly with participants, which was both fulfilling and eye-opening. These interactions allowed me to see the immediate, real-world implications of my work and sparked a passion for pursuing aging research,” Queen said. “I realized that, through this type of research, I could have a more direct impact on addressing age-related challenges, which prompted a shift in my career plans.” The new grant will help Queen further improve her understanding of the neurobiology and progression of Alzheimer’s disease and other dementias. “These experiences will ultimately prepare me to become a well-rounded aging investigator, capable of making meaningful contributions to the field of aging research,” Queen said. She also credits her mentors and collaborators — Ronald Cohen, Ph.D.; Adam Woods, Ph.D.; Steven DeKosky, M.D.; Ruogu Fang, Ph.D.; Joseph Gullett, Ph.D.; and Glenn Smith, Ph.D. — with supporting her as an early career scientist. “It really takes a village to get here!” Queen said.
Masoud Davari, an associate professor in Electrical and Computer Engineering at Georgia Southern University, has been awarded the 2024 IEEE Region 3 Outstanding Engineer Award, making him the first faculty member in the university’s 55-year history to receive this honor. Davari was recognized for his contributions to reinforcement-learning optimal controls for power-electronic converters, his work on integrating power-electronic systems with cyber-attack considerations in modern power grids, and for his leadership in hardware-in-the-loop testing and standards development, including service on the IEEE P2004 standards working group. In addition to the award, Davari was inducted into the IEEE-Eta Kappa Nu (HKN) honor society. His research program at Georgia Southern has earned significant support, including more than $1.17 million in National Science Foundation funding, a 2024 Gulfstream Aerospace Research Fellowship, inclusion in the Stanford/Elsevier Top 2% Scientists list, and selection as a finalist for the 2024 Curtis W. McGraw Research Award. You can find out more about Davari's research by visiting his Georgia Southern Scholars profile below: To arrange an interview or to learn more about this award - Looking to know more about Georgia — simply contact Georgia Southern's Director of Communications Jennifer Wise at jwise@georgiasouthern.edu to arrange an interview today.
Life-changing study abroad experiences help students find themselves, UF research shows
Studying abroad is about more than just enrichment for college students; it’s often about personal transformation, UF researchers have found. Every year, UF sends nearly 2,600 students overseas to become immersed in diverse cultures, gain international perspectives, and create social bonds with fellow Gators – experiences so profound that UF researchers recently published a study about their long-term impact in Leisure Sciences. And this week, the UF International Center is hosting a Study Abroad Fair from 10 a.m. to 3 p.m. Wednesday, Jan. 29 on the Reitz North Lawn to generate even more interest in these life-changing programs. “You’ve got to look at travel as not a frivolous thing because it’s part of your life story,” said Heather Gibson, Ph.D., a professor in the UF College of Health & Human Performance’s Department of Tourism, Hospitality & Event Management, who co-authored the study. “The impact isn’t just for the semester when they return; it’s now shown to be over 20 years or more. Very few studies focus on this formative phase of adult development, and these emerging adults are very malleable to be shaped. They’re searching for different sources of identity and different directions.” Conducting this research with Gibson was Hongping (HP) Zhang, Ph.D., a UF graduate of 2020 and clinical assistant professor at the University of Tennessee, Knoxville’s Department of Retail, Hospitality, and Tourism Management. Zhang said that, in 2019, tourism literature began focusing on memory theories, but research primarily looked at memorable tourism experiences and how to better attract tourists. Zhang wanted to dive deeper into how travel memories affect a person’s development and identity. This retrospective longitudinal study examined 115 alumni who traveled as part of the College of Health & Human Performance’s South Pacific program, or the Florida Down Under Program, from 2007 to 2019. The program, led by Gibson, brings students to Australia for four weeks, New Zealand for four weeks, and/or Fiji for 10 days to study sustainability, with trips including a snorkeling expedition to the Great Barrier Reef and to Mungalla Station (a land occupied by the Nywaigi Aboriginal Land Corporation). These students’ memories of studying abroad proved to be positive and an “important building block to enhance the existing feeling of self,” Zhang said. For example, one study participant shared that reflecting on her experience in Australia was a conversation starter that sparked an initial social connection with her now husband, who had also traveled to Australia on a separate trip. Other students said the program impacted their travel behaviors such as spending money, as well as their eco-conscious behaviors like using coral-reef-friendly sunscreen. Overall, Gibson believes that experiential learning like studying abroad plays a significant role in helping students find themselves at pivotal times in their lives. In fact, research from the Consortium for Analysis of Student Success through International Education shows that students who participate in study abroad programs may earn higher grades, be more likely to graduate, and be better positioned for the global workforce. “Getting students out of the classroom and pushing them out of their comfort zone is where they learn,” Gibson said. “We need to think about the undergraduate experience as more than earning credits for a degree. Study abroad provides students with friends, experience, and direction, and that’s very crucial, especially at a large university. Study abroad allows students to find their tribe.”
Detecting Fraud Using Emerging Technology: Innovating Beyond Traditional Controls
Fraud and financial crime are evolving at a pace that challenges even the most established detection systems. From cyber-enabled schemes and complex financial misappropriations to subtle internal manipulations, traditional audit and compliance methods are often too slow or too narrow to keep up. In a world where billions of data points can hide a single irregularity, the investigative advantage now lies in speed, intelligence, and technological adaptability. J.S. Held’s Ken Feinstein recently authored an article exploring how artificial intelligence, machine learning, and advanced data analytics tools are transforming how organizations uncover and prevent fraud. In his piece, “Detecting Fraud Using Emerging Technology: Don’t Be Afraid to Innovate,” Feinstein illustrates how the integration of digital investigation techniques — from automation to predictive analytics — is reshaping the fraud-detection landscape, helping companies not just react to wrongdoing but anticipate and deter it. Ken Feinstein specializes in investigative data analytics and has over 25 years of experience. He provides data analytics solutions spanning multiple sectors, including retail and consumer products, life sciences, technology, financial services, and industrial products. His clients include law firms and Fortune 500 legal and compliance teams for whom he delivers large-scale, complex investigations, regulatory response matters, proactive anti‐fraud efforts, and compliance programs. View his profile here Why This Matters As fraudsters exploit digital tools and globalized networks, detection efforts must evolve in kind. Regulators expect faster, data-driven investigations, and boards demand real-time risk visibility. Those who innovate with AI-enabled detection and forensic analytics are better positioned to protect assets, reputation, and shareholder trust. Looking to know more? Connect with Ken Feinstein today by clicking on his icon below.
As sustainability moves from niche topic to boardroom central, companies face an increasingly complex global environment of regulatory divergence, disclosure demands and reputational risk. A recent article by J.S. Held's John Peiserich examines how multinational firms can respond effectively to the “crosscurrents” of ESG compliance, litigation exposure and evolving definitions of corporate responsibility. John Peiserich specializes in environmental risk and compliance. With over 30 years of experience, John provides consulting and expert services for heavy industry and law firms throughout the country with a focus on Oil & Gas, Energy, and Public Utilities, including serving as an expert witness in arbitration proceedings and in state and federal courts. View his profile here Key Insights: Sustainability now touches every major business function — environmental, social, and governance — and must be embedded in strategy rather than treated as an add-on. Regulatory landscapes are diverging: while the U.S. federal approach remains fragmented, individual states like California are moving ahead with mandatory climate and emissions-related corporate disclosures. In contrast, the European Union’s Green Deal and related frameworks promote a more unified regulatory model, creating operational tension for multinational corporations. Litigation and disclosure risk are increasing, with “greenwashing” (overstating sustainability achievements) and “greenhushing” (avoiding or under-reporting ESG performance) emerging as major board-level concerns. Effective risk management now requires scalable data systems, transparent communication, strong governance, and agility to adapt across multiple regulatory regimes. Why this matters: The widening divide between jurisdictions — and intensifying scrutiny of corporate sustainability claims — means ESG compliance can no longer be treated as a checkbox exercise. Organizations that fail to anticipate regulatory expectations or align ESG strategy with business goals risk legal exposure, reputational harm, and missed opportunities for value creation. Strategic Insights for Corporate Leadership on Sustainability Boards and executives must adjust their mindset, seeing sustainability not as a burden but as a catalyst for growth and differentiation. Proactive investment in research, development, and stakeholder engagement will help organizations seize new opportunities and maintain credibility in a fast-changing world. Documentation and transparency are vital defenses against legal challenges, while ongoing monitoring of policy and market trends ensures adaptability. Ultimately, the most successful companies will treat sustainability as an essential tenet of strategy—aligning profit, purpose, and governance to secure their position in the global marketplace. Navigating the crosscurrents of sustainability requires courage, judgment, and a commitment to continuous learning. By embracing these principles, corporations can build a future that is not only profitable but also just, resilient, and worthy of the trust placed in them by shareholders and society alike. Looking to know more or connect with John Peiserich about this important topic? Simply click on his icon now to arrange an interview today.
Aston University’s approach to a global challenge Across industries, companies face mounting pressure to cut carbon, improve resource efficiency, and contribute to the UN Sustainable Development Goals (SDGs). Yet many firms still struggle to move from vision statements to measurable action. At Aston Business School, Dr Breno Nunes, reader in sustainable operations management, is developing practical frameworks that help organisations embed sustainability at their core. His concept of 'sustainability fitness' captures how firms can build the capabilities they need to adapt, compete, and thrive in the transition to a net zero economy. “Many organisations want to be sustainable but struggle to operationalise what that means. My work is about bridging that gap — helping businesses translate strategies into practice.” — Dr Breno Nunes The sustainability fitness concept involves both meeting human needs and respecting environmental limits. While it can also be applied at the societal and individual level, Dr Nunes focuses on organisations, where capability building delivers the fastest, measurable change. Corporate sustainability fitness examines how a firm is able to survive and meet its own needs, while aligning itself to wider essential needs of society and operating within limits imposed by its surrounding natural environment. From research to real-world action Dr Nunes’ research examines how organisations design, implement, and monitor sustainability strategies across operations, supply chains, facilities, and product development. He is the main author of the book Sustainable Operations Management: Key practices and cases, which applies the issues of sustainability to all strategic decisions of operations. His work is already making a tangible difference, including international partnerships in Brazil, Canada, and the US, bringing cross-cultural insights into organisational transformation, as well as for various companies and organisations. In an Innovate UK Knowledge Transfer Partnership (KTP) with automotive supplier Metal Assemblies, Dr Nunes and Professor Alexeis Garcia Perez, professor of digital business and society at Aston University, are working to calculate and report the carbon cost of metal components used in car production, tackling one of the industry’s biggest sustainability challenges. The digitalisation of processes will allow Metal Assemblies to meet customers' requirements and position itself as a trusted and transparent supplier of low-carbon components. In another KTP with Brockhouse Group, a forging manufacturer in the West Midlands, Dr Nunes worked with Aston colleague Dr Muhammad Imran, reader in mechanical, biomedical and design engineering. Together they developed a sustainable manufacturing strategy centred on carbon reduction and process improvement. The work involved the development of an energy dashboard, allowing analysis of data on gas and electricity consumption. The project also included analysis of alternatives for energy recovery systems, and development of routines and procedures to improve the manufacturing process. As a result, Brockhouse group is more competitive to supply in non-captive markets. Dr Nunes has also been involved with a collaboration with Birmingham Botanical Gardens to integrate sustainability into policy and practice, expanding the use of business sustainability theories to nonprofit sectors. Sustainability can be embedded across different areas of organisations while seeking financial stability. As an environmental education charity, it is important to for Birmingham Botanical Gardens to 'practise what it preaches'. It was recently awarded almost £20m from various grants (including Heritage Lottery) in a capital project, thanks to having sustainability at the core of renovation plans. These projects highlight Aston University’s role in bridging academia, industry, and policy — ensuring research findings reach the boardroom as well as the factory floor. Key insights from the research Dr Nunes’ studies highlight several critical factors for turning sustainability from intention into measurable results: • Organisational capabilities are central to embedding sustainability. These include empowering sustainability “champions” (institutional entrepreneurs), supportive structures, superior technologies, and the ability to learn and balance economic, environmental, and social performance. • The tensions in implementing sustainability vary not just by function (supply chains, governance, innovation) but also by an organisation’s maturity level. • Start with the low-hanging fruit: tools like self-assessments, capability diagnostics, and learning games allow firms to act at lower cost before committing to full environmental impact assessments or formal reporting. • Collaboration between academia, industry, and policymakers accelerates real-world impact. Why this matters The stakes are high. Businesses worldwide are expected to reduce carbon emissions, demonstrate social responsibility, and remain competitive in a rapidly changing global economy. Aston University’s research shows that strengthening sustainability capabilities not only improves environmental outcomes but also boosts resilience and cost savings. In pilot projects, teams working with Dr Nunes have achieved up to 30% reductions in both cost and carbon emissions — proof that sustainability can drive operational performance as well as compliance. Looking ahead: expanding the Sustainable Growth Hub The next phase of Dr Nunes’ work centres on Aston’s Sustainable Growth Hub, which is being developed as a reference point for SMEs seeking sustainability solutions. In 2025, the Hub will: • Launch its first industry club cohort and expand its team. • Roll out new self-assessment tools to size sustainability needs and decarbonisation goals. • Introduce new learning formats and follow-up courses to Aston’s Green Advantage programme, alongside sessions to play a new corporate sustainability game. • Host events to bring together businesses, policymakers, and the wider sustainability management community. • Attract new research grants and publish results to share knowledge across both academic and practitioner circles. These initiatives aim to equip organisations not only to meet today’s challenges, but to anticipate tomorrow’s. Get involved Follow Dr Nunes via his profile below, and soon through the Sustainability Fitness website. Businesses can also attend Aston Business School events to explore workshops, tools, and courses first-hand. About Dr Breno Nunes Dr Breno Nunes is reader in sustainable operations management at Aston Business School and president of the International Association for Management of Technology (IAMOT). He serves as associate editor of the IEEE Engineering Management Review and has published widely on sustainability strategy execution and innovation. Aston University’s work in sustainable operations — shaped by researchers like Dr Nunes — is helping organisations worldwide move from ambition to action, building the 'sustainability fitness' needed for a net zero future.
