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Expert Perspective: Mitigating Bias in AI: Sharing the Burden of Bias When it Counts Most
Whether getting directions from Google Maps, personalized job recommendations from LinkedIn, or nudges from a bank for new products based on our data-rich profiles, we have grown accustomed to having artificial intelligence (AI) systems in our lives. But are AI systems fair? The answer to this question, in short—not completely. Further complicating the matter is the fact that today’s AI systems are far from transparent. Think about it: The uncomfortable truth is that generative AI tools like ChatGPT—based on sophisticated architectures such as deep learning or large language models—are fed vast amounts of training data which then interact in unpredictable ways. And while the principles of how these methods operate are well-understood (at least by those who created them), ChatGPT’s decisions are likened to an airplane’s black box: They are not easy to penetrate. So, how can we determine if “black box AI” is fair? Some dedicated data scientists are working around the clock to tackle this big issue. One of those data scientists is Gareth James, who also serves as the Dean of Goizueta Business School as his day job. In a recent paper titled “A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification” Dean James—along with coauthors Bradley Rava, Wenguang Sun, and Xin Tong—have proposed a new framework to help ensure AI decision-making is as fair as possible in high-stakes decisions where certain individuals—for example, racial minority groups and other protected groups—may be more prone to AI bias, even without our realizing it. In other words, their new approach to fairness makes adjustments that work out better when some are getting the short shrift of AI. Gareth James became the John H. Harland Dean of Goizueta Business School in July 2022. Renowned for his visionary leadership, statistical mastery, and commitment to the future of business education, James brings vast and versatile experience to the role. His collaborative nature and data-driven scholarship offer fresh energy and focus aimed at furthering Goizueta’s mission: to prepare principled leaders to have a positive influence on business and society. Unpacking Bias in High-Stakes Scenarios Dean James and his coauthors set their sights on high-stakes decisions in their work. What counts as high stakes? Examples include hospitals’ medical diagnoses, banks’ credit-worthiness assessments, and state justice systems’ bail and sentencing decisions. On the one hand, these areas are ripe for AI-interventions, with ample data available. On the other hand, biased decision-making here has the potential to negatively impact a person’s life in a significant way. In the case of justice systems, in the United States, there’s a data-driven, decision-support tool known as COMPAS (which stands for Correctional Offender Management Profiling for Alternative Sanctions) in active use. The idea behind COMPAS is to crunch available data (including age, sex, and criminal history) to help determine a criminal-court defendant’s likelihood of committing a crime as they await trial. Supporters of COMPAS note that statistical predictions are helping courts make better decisions about bail than humans did on their own. At the same time, detractors have argued that COMPAS is better at predicting recidivism for some racial groups than for others. And since we can’t control which group we belong to, that bias needs to be corrected. It’s high time for guardrails. A Step Toward Fairer AI Decisions Enter Dean James and colleagues’ algorithm. Designed to make the outputs of AI decisions fairer, even without having to know the AI model’s inner workings, they call it “fairness-adjusted selective inference” (FASI). It works to flag specific decisions that would be better handled by a human being in order to avoid systemic bias. That is to say, if the AI cannot yield an acceptably clear (1/0 or binary) answer, a human review is recommended. To test the results for their “fairness-adjusted selective inference,” the researchers turn to both simulated and real data. For the real data, the COMPAS dataset enabled a look at predicted and actual recidivism rates for two minority groups, as seen in the chart below. In the figures above, the researchers set an “acceptable level of mistakes” – seen as the dotted line – at 0.25 (25%). They then compared “minority group 1” and “minority group 2” results before and after applying their FASI framework. Especially if you were born into “minority group 2,” which graph seems fairer to you? Professional ethicists will note there is a slight dip to overall accuracy, as seen in the green “all groups” category. And yet the treatment between the two groups is fairer. That is why the researchers titled their paper “a burden shared is a burdened halved.” Practical Applications for the Greater Social Good “To be honest, I was surprised by how well our framework worked without sacrificing much overall accuracy,” Dean James notes. By selecting cases where human beings should review a criminal history – or credit history or medical charts – AI discrimination that would have significant quality-of-life consequences can be reduced. Reducing protected groups’ burden of bias is also a matter of following the laws. For example, in the financial industry, the United States’ Equal Credit Opportunity Act (ECOA) makes it “illegal for a company to use a biased algorithm that results in credit discrimination on the basis of race, color, religion, national origin, sex, marital status, age, or because a person receives public assistance,” as the Federal Trade Commission explains on its website. If AI-powered programs fail to correct for AI bias, the company utilizing it can run into trouble with the law. In these cases, human reviews are well worth the extra effort for all stakeholders. The paper grew from Dean James’ ongoing work as a data scientist when time allows. “Many of us data scientists are worried about bias in AI and we’re trying to improve the output,” he notes. And as new versions of ChatGPT continue to roll out, “new guardrails are being added – some better than others.” “I’m optimistic about AI,” Dean James says. “And one thing that makes me optimistic is the fact that AI will learn and learn – there’s no going back. In education, we think a lot about formal training and lifelong learning. But then that learning journey has to end,” Dean James notes. “With AI, it never ends.” Gareth James is the John H. Harland Dean of Goizueta Business School. If you're looking to connect with him - simply click on his icon now to arrange an interview today.
Most companies around the world have a leader, whether that title is a President, CEO, or Founder. There’s almost always someone at the very top of a corporate food chain, and from that position down, the company is structured hierarchically, with multiple levels of leadership supervising other employees. It’s a structure with which most people in the working world are familiar, and it dates back as long as one can remember. The word itself—leader—dates back to as far as the 12th Century and is derived from the Old English word “laedere,” or one who leads. But in 2001, a group of software engineers developed the Agile Workflow Methodology, a project development process that puts a priority on egalitarian teamwork and individual independence in searching for solutions. A number of businesses are trying to embrace a flatter internal structure, like the agile workflow. But is it necessarily the best way to develop business processes? That’s the question posed by researchers, including Goizueta Business School’s Özgecan Koçak, associate professor of organization and management, and fellow researchers Daniel A. Levinthal and Phanish Puranam in their recently published paper on organizational hierarchies. “Realistically, we don’t see a lot of non-hierarchical organizations,” says Koçak. “But there is actually a big push to have less hierarchy in organizations.” Part of it is due to the demotivating effects of working in authoritarian workplaces. People don’t necessarily like to have a boss. We place value in being more egalitarian, more participatory. Özgecan Koçak, Associate Professor of Organization & Management “So there is some push to try and design organizations with flatter hierarchies. That is specifically so in the context of knowledge-based work, and especially in the context of discovery and search.” Decoding Organizational Dynamics While the idea of an egalitarian workplace is attractive to many people, Koçak and her colleagues wanted to know if, or when, hierarchies were actually beneficial to the health of organizations. They developed a computational agent-based model, or simulation, to explore the relationships between structures of influence and organizational adaptation. The groups in the simulation mimicked real business team structures and consisted of two types of teams. In the first type, one agent had influence over the beliefs of rest of the team. For the second type, no one individual had any influence over the beliefs of the team. The hierarchical team vs. the flat structured team. “When you do simulations, you want to make sure that your findings are robust to those kinds of things like the scale of the group, or the how fast the agents are learning and so forth,” says Koçak. What’s innovative about this particular simulation is that all the agents are learning from their environment. They are learning through trial and error. They are trying out different alternatives and finding out their value. Özgecan Koçak Koçak is very clear that the hierarchies in the simulation are not exactly like hierarchies in a business organization. Every agent was purposefully made to be the same without any difference in wisdom or knowledge. “It’s really nothing like the kinds of hierarchies you would see in organizations where there is somebody who has a corner office, or somebody who is has a management title, or somebody’s making more than the others. In the simulation, it’s nothing to do with those distributional aspects or control, and nobody has the ability to control what others do in (the simulation). All control comes through influence of beliefs.” Speed vs. Optimal Solutions What they found in the simulation was that while both teams solved the same problems presented to them, they achieved different results at different speeds. We find that hierarchical teams don’t necessarily find the best solution, but they find the good enough solution in the shorter term. So if you are looking at the really long term, crowds do better. The crowds where individuals are all learning separately, they find the best solution in the long run, even though they are not learning from each other. Özgecan Koçak Özgecan Koçak (pronounced as ohz-gay-john ko-chuck) is associate professor of Organization & Management at Emory University’s Goizueta Business School. She holds a Ph.D. in organizational behavior from the Graduate School of Business at Stanford University. For example, teams of scientists looking for cures or innovative treatments for diseases work best with a flat structure. Each individual works on their own timeline, with their own search methodologies. The team only comes together for status updates or to discuss their projects without necessarily getting influence or direction from colleagues. The long-term success of the result is more important in some cases than the speed at which they arrive to their conclusion. That won’t work for an organization that answers to a board of directors or shareholders. Such parties want to see rapid results that will quickly impact the bottom line of the company. This is why the agile methodology is not beneficial to large-scale corporations. Koçak says, “When you try to think about an entire organization, not just teams, it gets more complicated. If you have many people in an organization, you can’t have everybody just be on the same team. And then you have to worry about how to coordinate the efforts of multiple teams. That’s the big question for scaling up agile. We know that the agile methodology works pretty well at the team level. However, when firms try to scale it up applied to the entire organization, then you have more coordination problems. Özgecan Koçak “You need some way to coordinate the efforts with multiple teams.” The Catch: Compensation Makes a Difference The simulation did not take into account one of the biggest parts of a corporate hierarchical structure—incentives and reward. The teams in the simulation received no monetary compensation for their leadership or influence. That is not something that happens in real life. Koçak says, “If you built up an organization with just influence, you just say we’re not going to have any authority, and we’re not going to give anybody the right to control anybody else’s actions. If we’re not going to be rewarding anyone more than the other, there’s not going to be any marks of status, etc. We’re just going to have some people influence others more. I would guess that would automatically lead to a prestige hierarchy right away. The person with more influence, you would start respecting more.” It’s almost like we’re incapable of working in a flat society, because somebody always wants to be or naturally becomes a leader and an influencer whether they planned on it or not. Özgecan Koçak The paper concludes that both methodologies, with either hierarchical and flat organization of teams, reach their goals. They just arrive at different times with different end results. If an organization has the luxury of time and money, a flat, agile methodology organization might be the right structure for that company. However, even agile workflow needs some coordination, according to Koçak. “There are also some search tasks that require coordination. You can’t always be searching on your own independently of others. There are some situations in which search needs to be done in a coordinated fashion by more than one person in teams. That’s because many of the knowledge-based settings where we do discovery require some division of labor, some specialization by expertise.” Communication is Key The key to any successful workflow, whether it be agile or hierarchical, is coordination and communication. Looking back to the example of scientific researchers, Koçak said, “You have scientific teams working independently of one another without a common boss dictating what they do research on or how they do it. Instead, they explore and experiment on their own. They write up their results, share their results, and learn from each other, because they are in the long-term game. The goal is to find the truth, however long it takes. “But when you look closely at a scientific team where everybody’s exploring, there is still some need for coordination. A lot of that happens through communication, and a lot of times projects will have a lead. Not necessarily somebody who knows better than the others, but somebody who’s going to help with coordination.” The leaner, flatter organizational structures in businesses might be gaining popularity. This simulation done by Koçak and colleagues, however, shows that it isn’t a perfect fit for every company, Further, some form of hierarchical workflow is necessary to maintain communication and coordination. Hierarchical structures don’t always find the best solution to a problem, but it’s almost always a good solution in a timelier fashion. Looking to know more? Özgecan Koçak is associate professor of Organization & Management at Emory University’s Goizueta Business School. She is available to speak with media about this topic - simply click on her icon now to arrange an interview today.
Expert Q& A: ‘The Pope is also a monarch’
Kathleen Comerford, Ph.D., professor of history at Georgia Southern University, specializes in Catholic history in the 16th and 17th centuries. She is also an associate editor for the Journal of Jesuit Studies, which focuses on the work of the Society of Jesus (Jesuits), a religious order within the Catholic Church. Pope Francis was the church’s first Jesuit pope. With the global significance and rarity of the conclave, Comerford answered frequently asked questions about how the conclave works, how the conclave process has evolved over time, and what the passing of a pope means for the Catholic Church and the world. Question: What does the passing of a pope mean for the world? Comerford: Multiple things! First of all, there are 1.4 billion Catholics in the world scattered in many different countries. The pope is a unifying figure for all of the Catholics. He represents something immediate in the sense that he’s the head of the church and is a recognizable figure. The pope is also a monarch. I was just talking with my classes about this. He is the head of the government of the Vatican City State, which is the smallest independent state in the world. It has a very long history itself. Pretty much everybody who lives in Vatican City works for the Vatican. The pope is one of the few elected monarchs in history. He is responsible for financial and political decisions, and he has ambassadors around the world as a result of his role in global policy. Question: How is a new pope selected? Comerford: The College of Cardinals will meet for an election called a conclave, and they actually stay in a dormitory-like place in Vatican City for it. They are sequestered from the public, and they take some time to meet, pray and vote. The cardinals aren’t supposed to be sitting around talking about who would be a really good pope, but we don’t know whether they do because they’re sequestered and nobody is supposed to talk about it. They will likely take a vote on the first day, but that’s not required. Every subsequent day, they can take a maximum of four votes; two in the morning and two in the afternoon until a candidate gets a two-thirds majority. Question: What does the voting look like? Comerford: There are ballots, and the cardinals write their preferred candidate on the ballot, and then they put their vote in a chalice. To count the votes, there’s a group of three people who are in charge of counting and then announcing the results to the fellow cardinals. There are 252 cardinals, but only 135 of them are eligible to vote because anyone over the age of 80 is ineligible. The procedure where only cardinals can elect the pope dates from 1059. The secret ballot and the two-thirds majority requirement is from 1621. The sequestration for the process dates from 1271 because they argued about who the new pope would be for two years and nine months; a total of 33 months. And so, they decided that the only way to make sure that this didn’t happen again would be to create this scenario with the cardinals locked in a room with a key. Question: When one of the candidates receives a two-thirds majority and becomes the next pope, how will it be announced? Comerford: Well, this is kind of fun, because they have four votes every day until one of the candidates receives a two-thirds majority. After they take the votes, the papers used to vote are burned. How the news is shared to the crowds outside is based on the color of smoke. If the smoke is black, that means no one received the majority and there’s no new pope yet. If there’s white smoke, it means there’s a new pope. This practice really only dates to the early 19th century. At first, it was just if there was smoke, there was no pope; if there was no smoke, then there was a pope. In 1914, they changed this aspect of the election so that black smoke means “no pope” and white smoke means “new pope.” Question: It’s expected that the next pope will be one of the cardinals in the room when they vote, yes? Comerford: Yes, but it doesn’t have to be. There have been a lot of popes, but in the last 200-300 years, there hasn’t been somebody who wasn’t in the conclave that was elected. Theoretically, they could nominate somebody who’s not a cardinal and the whole room could say, “yes, that’s the person we want as pope.” However, they don’t vote by acclamation anymore. They stopped doing that in the 19th century. Question: Pope Francis appointed 108 of the cardinals, so that’s a total of 80% of those eligible to vote for the next pope. How likely is it that we see a pope similar to the late Francis, considering he provided the electorate for his successor? Comerford: First of all, he deliberately went out and created cardinals in places where there had never been cardinals before. And he didn’t do that by saying, “I’m going to find somebody who’s like-minded to me.” He just said, “There are a lot of Catholics in Myanmar and they’ve never had a cardinal. So I’m going to make sure that there’s a cardinal now.” Most of these new cardinals are in places like Rwanda, Cape Verde, Tonga, Myanmar, Mongolia and so on. So these are non-European cardinals. Now, less than 40% of the voting cardinals are European. So to speculate on how similar they are to Francis, you have to break down what Francis was. There has been his entire pontificate about how he’s the first American pope, but his parents were born in Italy. He didn’t grow up speaking Italian, but it was a dialect of Italian as well as Spanish, because he grew up in Argentina. He was the most European you can get and still be an American. Another part of the question is, will the new pope be somebody who is of a similar mind to Francis in terms of his governance, which was very devolved. He introduced this idea of “synodality,” which is about fairly consistent communication with groups of people. Pope Francis was not particularly monarchical or hierarchical. There is also the aspect of his thinking that leans more to the left than the right on a number of social issues like immigration, women’s rights, the rights of minorities and immigration. He opened a lot of conversations, which the very right leaning portions of the church have been very uncomfortable with. If you're interested in learning more about this topic and want to book time to talk or interview with Kathleen Comerford then let us help - simply contact Georgia Southern's Director of Communications Jennifer Wise at jwise@georgiasouthern.edu to arrange an interview today.
Rural health documentary earns Peabody Award for Georgia Southern professor
Georgia Southern University Professor Matthew Hashiguchi has won a Peabody Award for his documentary, “The Only Doctor,” which focuses on rural health and the services provided by a single doctor in southwest Georgia. The Peabody Awards are prestigious accolades in storytelling across television, radio, streaming and other digital mediums. Categories for winning a Peabody include journalism, social video, interactive documentary, gaming and more. The nearly hour-long feature received the award in the Public Service category, which recognizes projects that address or respond to public health concerns, enhance public engagement or educate the public. For Hashiguchi, the award represents a personal and career accolade. “This award isn’t just a professional achievement, but also represents a moment in my life where I became a father,” said Hashiguchi. “I started filming right before my first daughter was born, and finished right after the second. While this award is an incredible acknowledgment of my work, it means even more to me as a priceless moment from their childhood.” The documentary focuses on Karen Kinsell, M.D., the sole physician serving 3,000 citizens in Clay County, Georgia, near the Georgia-Alabama border. The film spotlights the plight of a community in need of medical assistance and the dedicated doctor fighting to keep her clinic’s doors open. Hashiguchi delves into Kinsell’s sacrifices for her clinic’s operations, revealing her commitment to her patients. “Dr. Kinsell gets calls at home at all hours of the day and night,” Hashiguchi said. “She, at times, has had to pay the bills from her own bank account. But I’d say the biggest sacrifice is that she’s a doctor who does not have breaks.” The final cut of “The Only Doctor” is a bit different from the angle Hashiguchi took when he began work on it several years ago. He initially started the project to better understand the risks associated with maternal health care and childbirth when he and his wife were expecting their first child. Through his work, he learned of a more complex issue of health care access in rural communities. The documentary first premiered on the PBS program Reel South and is now available internationally on Al Jazeera’s documentary series “Witness.” Hashigchi’s work earned him a 2019 Gucci Tribeca Documentary Fund award and a 2021 American Stories Documentary Fund award from Points North Institute. The film’s world premiere took place at the 2023 Hot Docs International Documentary Film Festival in Toronto, Canada, and was awarded Best Documentary Feature at the 2024 South Georgia Film Festival, Best Feature at the 2023 Newburyport Documentary Film Festival and Award of Merit at the 2023 University Film and Video Association Conference. His rise to media prominence wasn’t on his radar early in his academic career. He described himself as a “C student,” and still sees himself as that young boy struggling with math and science courses. With one of the nation’s highest media honors, he can show his students new paths to success as well as the skills it takes to win a Peabody. “I want my students to know how I failed and know that I struggled,” he said. “I tell them that if they want to excel, they really have to put in hard work. That’s very much who I am now as I devote myself to these films.” If you're interested in learning more and want to book time to talk or interview with Matthew Hashiguchi then let us help - simply contact Georgia Southern's Director of Communications Jennifer Wise at jwise@georgiasouthern.edu to arrange an interview today.
Historical Significance of the Papal Name
In the wake of the historic election of Pope Leo XIV, the first American to ascend to the papacy, scholars and observers alike are reflecting on the global, historical and theological implications of his early statements and symbolic choices. His decision to take the name Leo – a name not used for over a century – immediately evokes comparisons to both Leo XIII and Leo I (Leo the Great), popes known for their firm leadership and dynamic engagement with the world. Baylor University’s Elisabeth Rain Kincaid, J.D., Ph.D., director of the Institute for Faith and Learning and an expert on early modern theology and Catholic Social Thought, said choosing the name Leo is significant, especially in today’s world. Through his choice of name, rhetorical style and theological references, the new pope is signaling a clear vision for a Church that is simultaneously grounded in tradition and open to global dialogue, Kincaid said. Kincaid is currently at work on a monograph – “Business Ethics for a Flourishing Life: Catholic Social Thought in the Modern Workplace” – in which she argues for the continued importance of Leo XIII’s thought for modern life. If you're covering the news about Pope Leo XIV and are looking to know why Cardinal Robert Prevost chose that name - we can help. Elisabeth Rain Kincaid is an author, speaker, teacher, and theologian. She has published broadly in peer-reviewed journals and popular publications. She is a frequent speaker at conferences, churches, and professional events on topics including business ethics, virtue and character, Christian engagement with law and politics, and work and vocation. She is currently the Director for the Institute for Faith and Learning at Baylor University. In her teaching, she draws upon her years of experience as a white-collar criminal defense attorney and a private equity professional, along with her ministry experience. Elisabeth is available to speak with media about this topic - simply contact Shelby Cefaratti-Bertin, M.A., Assistant Director of Media and Public Relations at Baylor University, Shelby_Cefaratti@baylor.edu or 254-327-8012 to arrange an interview today.
Name: Adrian Peter Title: Associate professor of mathematics and systems engineering and electrical engineering and computer science (joint appointment); director, Center for Advanced Data Analytics and Systems (CADAS) Department/College: Department of Mathematics and Systems Engineering and Department of Electrical Engineering and Computer Science/College of Engineering and Science Current research funding: $2.19 million General research focus: Our Multi-domain, Multi-sensor, Cyber-physical Tactical Exploitation (M2CTE) project addresses a critical need for a robust analytic processing framework capable of supporting autonomous sensing and analytics on the edge – where devices and sensors collect data – with the ability to reach back to the cloud for more improvement. Adrian Peter's research interests are in applying advanced analytics (e.g. machine learning, statistical modeling, optimization and visualization) to solve large-scale computing problems across a variety of domain areas (signal processing, geospatial, environmental, sensor fusion and enterprise intelligence). Q: What has you excited about your current research? We have built our entire infrastructure with the immensely talented graduate and undergraduate students at Florida Tech. Their tireless efforts have led to us delivering practical and operational real-world, machine-learning solutions that make us among the global leaders in machine learning at the edge. Q: Why is it important to conduct research? The objective of all research is to advance the frontiers of knowledge in a specific discipline. In my research, we are continually pushing state-of-the-art distributed sensing and edge analytics. Our results have helped transition conceptual ideas and customer requirements into operational solutions that improve situational awareness at tactical edge. Adrian Peter is available to speak with media. Contact Adam Lowenstein, Director of Media Communications at Florida Institute of Technology, at adam@fit.edu to arrange an interview today.
With Rise in US Autism Rates, Florida Tech Expert Clarifies What We Know About the Disorder
A new report from the Centers for Disease Control and Prevention (CDC) found that an estimated 1 in 31 U.S. children has autism; that's about a 15% increase from a 2020 report, which estimated 1 in 36. The latest numbers come from the CDC’s Autism and Developmental Disabilities Monitoring (ADDM) Network, which tracked diagnoses in 2022 among 8-year-old children. Autism spectrum disorder (ASD) is a neurological disorder that refers to a broad range of conditions affecting social interaction. People with autism may experience challenges with social skills, repetitive behaviors, speech and nonverbal communication. The news has experts like Florida Tech's Kimberly Sloman, Ph.D, weighing in on the matter. She noted that the definition of autism was expanded to include mild cases, which could explain the increase. “Research shows that increased rates are largely due to increased awareness and changes to diagnostic criteria. Much of the increase reflects individuals who have fewer support needs, women and girls and others who may have been misdiagnosed previously," said Sloman. Her insight follows federal health secretary Robert F. Kennedy Jr.'s recent declaration, vowing to conduct further studies to identify environmental factors that could cause the disorder. In his remarks, he also miscategorized autism as a "preventable disease," prompting scrutiny from experts and media attention. “Autism destroys families,” Kennedy said. “More importantly, it destroys our greatest resource, which is our children. These are children who should not be suffering like this.” Kennedy described autism as a “preventable disease,” although researchers and scientists have identified genetic factors that are associated with it. Autism is not considered a disease, but a complex disorder that affects the brain. Cases range widely in severity, with symptoms that can include delays in language, learning, and social or emotional skills. Some autistic traits can go unnoticed well into adulthood. Those who have spent decades researching autism have found no single cause. Besides genetics, scientists have identified various possible factors, including the age of a child’s father, the mother’s weight, and whether she had diabetes or was exposed to certain chemicals. Kennedy said his wide-ranging plan to determine the cause of autism will look at all of those environmental factors, and others. He had previously set a September deadline for determining what causes autism, but said Wednesday that by then, his department will determine at least “some” of the answers. The effort will involve issuing grants to universities and researchers, Kennedy said. He said the researchers will be encouraged to “follow the science, no matter what it says.” April 17 - Associated Press Sloman emphasized that experts are confident that autism has a strong genetic component, meaning there's an element of the disorder that may not be preventable. However, scientists are still working to understand the full scope of the disorder, and much is still unknown. “We know that there’s a strong genetic component for autism, but environmental factors may interact with genetic susceptibility," Sloman said. "This is still not well understood.” Kimberly Sloman’s research interests include best practices for treating individuals with autism spectrum disorder (ASD). She studies the assessment and treatment of problem behavior with methods such as stereotypy, individualized skill assessments and generalization of treatment effects. Are you covering this story or looking to know more about autism and the research behind the disorder? Let us help. Kimberly is available to speak with media about this subject. Simply click on her icon now to arrange an interview today.
Chemical and Life Science Engineering Professor Michael “Pete” Peters, Ph.D., is investigating more efficient ways to manufacture biologic pharmaceuticals using a radial flow bioreactor he developed. With applications in vaccines and other personalized therapeutic treatments, biologics are versatile. Their genetic base can be manipulated to create a variety of effects from fighting infections by stimulating an immune response to weight loss by producing a specific hormone in the body. Ozempic, Wegovy and Victoza are some of the brand names for Glucagon-Like Peptide-1 (GLP-1) receptor agonists used to treat diabetes. These drugs mimic the GLP-1 peptide, a hormone naturally produced in the body that regulates appetite, hunger and blood sugar. “I have a lot of experience with helical peptides like GLP-1 from my work with COVID therapeutics,” says Peters. “When it was discovered that these biologic pharmaceuticals can help with weight loss, demand spiked. These drug types were designed for people with type-2 diabetes and those diabetic patients couldn’t get their GLP-1 treatments. We wanted to find a way for manufacturers to scale up production to meet demand, especially now that further study of GLP-1 has revealed other applications for the drug, like smoking cessation.” Continuous Manufacturing of Biologic Pharmaceuticals Pharmaceuticals come in two basic forms: small-molecule and biologic. Small-molecule medicines are synthetically produced via chemical reactions while biologics are produced from microorganisms. Both types of medications are traditionally produced in a batch process, where base materials are fed into a staged system that produces “batches” of the small-molecule or biologic medication. This process is similar to a chef baking a single cake. Once these materials are exhausted, the batch is complete and the entire system needs to be reset before the next batch begins. “ The batch process can be cumbersome,” says Peters. “Shutting the whole process down and starting it up costs time and money. And if you want a second batch, you have to go through the entire process again after sterilization. Scaling the manufacturing process up is another problem because doubling the system size doesn’t equate to doubling the product. In engineering, that’s called nonlinear phenomena.” Continuous manufacturing improves efficiency and scalability by creating a system where production is ongoing over time rather than staged. These manufacturing techniques can lead to “end-to-end” continuous manufacturing, which is ideal for producing high-demand biologic pharmaceuticals like Ozempic, Wegovy and Victoza. Virginia Commonwealth University’s Medicines for All Institute is also focused on these production innovations. Peters’ continuous manufacturing system for biologics is called a radial flow bioreactor. A disk containing the microorganisms used for production sits on a fixture with a tube coming up through the center of the disk. As the transport fluid comes up the tube, the laminar flow created by its exiting the tube spreads it evenly and continuously over the disk. The interaction between the transport medium coming up the tube and the microorganisms on the disk creates the biological pharmaceutical, which is then taken away by the flow of the transport medium for continuous collection. Flowing the transport medium liquid over a disc coated with biologic-producing microorganisms allows the radial flow bioreactor to continuously produce biologic pharmaceuticals. “There are many advantages to a radial flow bioreactor,” says Peters. “It takes minutes to switch out the disk with the biologic-producing microorganisms. While continuously producing your biologic pharmaceutical, a manufacturer could have another disk in an incubator. Once the microorganisms in the incubator have grown to completely cover the disk, flow of the transport medium liquid to the radial flow bioreactor is shut off. The disk is replaced and then the transport medium flow resumes. That’s minutes for a production changeover instead of the many hours it takes to reset a system in the batch flow process.” The Building Blocks of Biologic Pharmaceuticals Biologic pharmaceuticals are natural molecules created by genetically manipulating microorganisms, like bacteria or mammalian cells. The technology involves designing and inserting a DNA plasmid that carries genetic instructions to the cells. This genetic code is a nucleotide sequence used by the cell to create proteins capable of performing a diverse range of functions within the body. Like musical notes, each nucleotide represents specific genetic information. The arrangement of these sequences, like notes in a song, changes what the cell is instructed to do. In the same way notes can be arranged to create different musical compositions, nucleotide sequences can completely alter a cell’s behavior. Microorganisms transcribe the inserted DNA into a much smaller, mRNA coded molecule. Then the mRNA molecule has its nucleotide code translated into a chain of amino acids, forming a polypeptide that eventually folds into a protein that can act within the body. “One of the disadvantages of biologic design is the wide range of molecular conformations biological molecules can adopt,” says Peters. “Small-molecule medications, on the other hand, are typically more rigid, but difficult to design via first-principle engineering methods. A lot of my focus has been on helical peptides, like GLP-1, that are a programmable biologic pharmaceutical designed from first principles and have the stability of a small-molecule.” The stability Peters describes comes from the helical peptide’s structure, an alpha helix where the amino acid chain coils into a spiral that twists clockwise. Hydrogen bonds that occur between the peptide’s backbone creates a repeating pattern that pulls the helix tightly together to resist conformational changes. “It’s why we used it in our COVID therapeutic and makes it an excellent candidate for GLP-1 continuous production because of its relative stability,” says Peters. Programming The Cell Chemical and Life Science Engineering Assistant Professor Leah Spangler, Ph.D., is an expert at instructing cells to make specific things. Her material science background employs proteins to build or manipulate products not found in nature, like purifying rare-earth elements for use in electronics. “My lab’s function is to make proteins every day,” says Spangler. “The kind of proteins we make depends entirely on the project they are for. More specifically I use proteins to make things that don’t occur in nature. The reason proteins don’t build things like solar cells or the quantum dots used in LCD TVs is because nature is not going to evolve a solar cell or a display surface. Nature doesn’t know what either of those things are. However, proteins can be instructed to build these items, if we code them to.” Spangler is collaborating with Peters in the development of his radial flow bioreactor, specifically to engineer a microorganismal bacteria cell capable of continuously producing biologic pharmaceuticals. “We build proteins by leveraging bacteria to make them for us,” says Spangler. “It’s a well known technology. For this project, we’re hypothesizing that Escherichia coli (E. coli) can be modified to make GLP-1. Personally, I like working with E. coli because it’s a simple bacteria that has been thoroughly studied, so there’s lots of tools available for working with it compared to other cell types.” Development of the process and technique to use E. coli with the radial flow bioreactor is ongoing. “Working with Dr. Spangler has been a game changer for me,” says Peters. “She came to the College of Engineering with a background in protein engineering and an expertise with bacteria. Most of my work was in mammalian cells, so it’s been a great collaboration. We’ve been able to work together and develop this bioreactor to produce GLP-1.” Other Radial Flow Bioreactor Applications Similar to how the GLP-1 peptide has found applications beyond diabetes treatment, the radial flow bioreactor can also be used in different roles. Peters is currently exploring the reactor’s viability for harnessing solar energy. “One of the things we’ve done with the internal disc is to use it as a solar panel,” says Peters. “The disk can be a black body that absorbs light and gets warm. If you run water through the system, water also absorbs the radiation’s energy. The radial flow pattern automatically optimizes energy driving forces with fluid residence time. That makes for a very effective solar heating system. This heating system is a simple proof of concept. Our next step is to determine a method that harnesses solar radiation to create electricity in a continuous manner.” The radial flow bioreactor can also be implemented for environmental cleanup. With a disk tailored for water filtration, desalination or bioremediation, untreated water can be pushed through the system until it reaches a satisfactory level of purification. “The continuous bioreactor design is based on first principles of engineering that our students are learning through their undergraduate education,” says Peters. “The nonlinear scaling laws and performance predictions are fundamentally based. In this day of continued emphasis on empirical AI algorithms, the diminishing understanding of fundamental physics, chemistry, biology and mathematics that underlie engineering principles is a challenge. It’s important we not let first-principles and fundamental understanding be degraded from our educational mission, and projects like the radial flow bioreactor help students see these important fundamentals in action.”
Taking ACT-ion for Quality Improvement
“Learning is a journey. It is continuous,” said nurse Hellen Okoth, MSN, CCRN, RN-BC, of the Transitional Surgical Unit. She was one of the learners on that journey through ChristianaCare’s professional development program Achieving Competency Today (ACT). ACT, a 12-week graduate-level program dedicated to health care improvement, will celebrate its 40th session in 2025. Some 1,000 caregivers have graduated from ACT and have tested some 140 innovative project ideas since the program’s launch in 2003. On April 9, three ACT teams presented their quality improvement projects at the John H. Ammon Medical Education Center on ChristianaCare’s Newark campus. Interdisciplinary, experiential learning programs like ACT create a rich and dynamic learning environment,” said Tabassum Salam, M.D., MBA, FACP, chief learning officer for ChristianaCare. “The emphasis on continuous improvement and real-world applications of the educational content sets our ACT graduates up for lifelong learning and repeated application of these new skills.” The ACT course is a collaborative experience that brings together learners from diverse disciplines to tackle real-world health care challenges. Participants learn from health system leaders and gain a broad perspective on health care through coursework. They work in teams to complete problem-solving projects from start to finish using the Plan-Do-Check-Act (PCDA) model of continuous improvement. Facilitators, who are experts in improvement science and team effectiveness, guide the teams through the process, ensuring that each project is meticulously planned and executed. ChristianaCare offers many professional development opportunities. Click here for careers and benefits. “The hands-on projects in ACT enable learners to innovate and test out solutions in settings that directly benefit patients, leading to better outcomes and a higher quality of care,” Salam said. The three most recent teams presented improvement research that has the potential to expand beyond their pilot stage to other areas of the health system. ‘Hush! For the Love of Health’ In “Hush! For the Love of Health,” an interdisciplinary team worked to reduce noise levels on the Cardiovascular Critical Care Unit (CVCCC) at Christiana Hospital. Their goal was to decrease ambient noise levels by 10 decibels during the study period. Intensive care units often experience noise levels that can exceed 80 decibels. A quiet environment is 30 to 40 decibels. Members of the “Hush” project found creative ways to reduce noise on an intensive care unit. Ambient noise refers to all sounds present in the background, which research shows can interfere with communication, concentration and comfort. In a hospital setting, these sounds may include alarms, conversations, announcement and pages and carts moving by. The team looked for opportunities to safely reduce the number of alarms sounding. By collaborating with Philips technology company to lower alarm volumes and eliminate redundant alarms, they reduced the number of alarms sounding from 10,000 to 3,000 daily and successfully decreased noise levels by 13 decibels, exceeding their goal. “It’s good for patients to have a quiet environment and it fights alarm fatigue for caregivers,” said Dylan Norris, a pre-medical student from the University of Delaware and participant in the ACT course. ‘Show Up and Show Out’ Reducing the no-show rate among patients in primary care practices improves health outcomes and conserves resources. In “Show Up and Show Out: Boosting Patient Attendance in Primary Care,” the project team aimed to reduce the incidence of no-show appointments at the Wilmington Adult Medicine (WAM) practice by 10%. The “Show Up and Show Out” project team used personalized communication outreach to patients to encourage keeping their primary care appointments. “Our literature review showed that personal relationships with providers are one thing that can encourage people to attend appointments,” said team member Christi Karawan, MS, BSN, CCRN-CSC. The key to their problem-solving strategy was using a secure messaging platform for automatic appointment reminders specifically for WAM that were personalized with the provider’s name and thanking the patients for letting WAM be a part of their healthcare team. Other steps on the road to success were signage around the practice encouraging patients to update their contact information and calls from office assistants and medical assistants to unconfirmed patients the day prior to their appointments. The team achieved a 9.5% reduction in no-shows, just shy of their goal, over a two-week period. An office assistant who participated in the pilot said, “Outreach has been helpful not only in getting people in but in getting people to reschedule or cancel. We can catch it before it becomes a no-show.” ‘Magnetic Efficiency’ To address delays in patient transport from MRI testing at Newark campus, an ACT team created a new communication workflow to directly connect patient escort dispatch to the MRI charge technician. The ACT team aimed to decrease patient wait times following MRI completion for stretcher transport back to patients rooms by 25% — and “a bold goal,” said one colleague — during the study period. The “Magnetic Efficiency” team identified a new workflow to get patients back to their hospital rooms faster after MRI testing. Using Vocera wearable communications tools, the team created a thread for direct communication between Escort Dispatch caregivers and MRI charge technicians. Also, when an Escort transporter dropped off a patient for an MRI, the transporter asked MRI staff if any patients were ready to go back to their rooms. These changes in communication and empowerment consolidated transports and led to a 17% reduction in wait time during the two-week pilot. “We don’t want people to work harder,” said team member Tim Kane, BSN, RN. “We wanted to avoid preventable delays.” Both teams expressed satisfaction and improved communication with the new process and they expressed interest in continuing the process after the pilot ended. Future forward The ACT course has a rich history, originating from a specific initiative piloted by the Robert Wood Johnson Foundation with ChristianaCare among the early adopters along with Harvard University, the University of Pennsylvania, Johns Hopkins University and Beth Israel Deaconess Medical Center. Through the years, ChristianaCare ACT team members have seen their projects live on both as permanent changes throughout the health system and, more personally, in their professional growth. “I was able to enhance my creativity, organizational and problem-solving skills,” said Starr Lumpkin, a staff assistant who was on the “Hush” team. “This was a pivotal journey for me.” ChristianaCare is growing its program to develop a pipeline for the next generation of health professionals, said Safety and Quality Education Specialist Claire Rudolph, MSM, CPHQ. “We have a varied group of learners and facilitators who are making an impact on health care quality, cost and safety.” Dylan Norris was the first participant from a new partnership with the University of Delaware for pre-med students to get quality improvement experience. “I have learned so much about what goes into a quality improvement project. Buy-in from the stakeholders is key in implementing any new project successfully,” she said. “I have also learned about the importance of the initial research that goes into creating a new project and how much pre-planning goes into it.” Closing the event, Clinical Effectiveness Officer Christian Coletti, M.D., MHCDS, FACEP, FACP, called on the ACT graduates to use their newfound “superpowers” — “vision, seeing the future, catching something before it breaks. “It’s not a glitch in the matrix,” he said. “You are the most important people at the bedside – hearing the alarms going off or the stretchers piling up. Work to identify problems and move toward solutions in your own microenvironments. Pass on your powers with reckless abandon.”
AI-powered model predicts post-concussion injury risk in college athletes
Athletes who suffer a concussion have a serious risk of reinjury after returning to play, but identifying which athletes are most vulnerable has always been a bit of a mystery, until now. Using artificial intelligence (AI), University of Delaware researchers have developed a novel machine learning model that predicts an athlete’s risk of lower-extremity musculoskeletal (MKS) injury after concussion with 95% accuracy. A recent study published in Sports Medicine details the development of the AI model, which builds on previously published research showing that the risk of post-concussion injury doubles, regardless of the sport. The most common post-concussive injuries include sprains, strains, or even broken bones or torn ACLs. “This is due to brain changes we see post-concussion,” said Thomas Buckley, professor of kinesiology and applied physiology at the College of Health Sciences. These brain changes affect athletes’ balance, cognition, and reaction times and can be difficult to detect in standard clinical testing. “Even a minuscule difference in balance, reaction time, or cognitive processing of what’s happening around you can make the difference between getting hurt and not,” Buckley said. How AI is changing injury risk assessment Recognizing the need for enhanced injury reduction risk tools, Buckley collaborated with colleagues in UD’s College of Engineering, Austin Brockmeier, assistant professor of electrical and computer engineering, and César Claros, a fourth-year doctoral student; Wei Qian, associate professor of statistics in the College of Agriculture and Natural Resources; and former KAAP postdoctoral fellow Melissa Anderson, who’s now an assistant professor at Ohio University. To assess injury risk, Brockmeier and Claros developed a comprehensive AI model that analyzes more than 100 variables, including sports and medical histories, concussion type, and pre- and post-concussion cognitive data. “Every athlete is unique, especially across various sports,” said Brockmeier. “Tracking an athlete’s performance over time, rather than relying on absolute values, helps identify disturbances, deviations, or deficits that, when compared to their baseline, may signal an increased risk of injury.” While some sports, such as football, carry higher injury risk, the model revealed that individual factors are just as important as the sport played. “We tested a version of the model that doesn’t have access to the athlete’s sport, and it still accurately predicted injury risk,” Brockmeier said. “This highlights how unique characteristics—not just the inherent risks of a sport—play a critical role in determining the likelihood of future injury,” said Brockmeier. The research, which tracked athletes over two years, also found that the risk of MSK injury post-concussion extends well into the athlete’s return to play. “Common sense would suggest that injuries would occur early in an athlete’s return to play, but that’s simply not true,” said Buckley. “Our research shows that the risk of future injury increases over time as athletes compensate and adapt to small deficits they may not even be aware of.” The next step for Buckey’s Concussion Research Lab is to further collaborate with UD Athletics’ strength and conditioning staff to design real-time interventions that could reduce injury risk. Beyond sports: AI’s potential in aging research The implications of the UD-developed machine-learning model extend far beyond sports. Brockmeier believes the algorithm could be used to predict fall risk in patients with Parkinson’s disease. Claros is also exploring how the injury risk reduction model can be applied to aging research with the Delaware Center for Cognitive Aging. “We want to use brain measurements to investigate whether baseline lifestyle measurements such as weight, BMI, and smoking history are predictive of future mild cognitive impairment or Alzheimer’s disease,” said Claros. To arrange an interview with Buckley, email UD's media relations team at MediaRelations@udel.edu
