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Researchers find an association between autistic traits and young children with ear, nose and throat problems The study used data from the Children of the 90s study which found 177 children were identified with a probable diagnosis of autism – 139 boys and 38 girls The study looked at data from over 10,000 children from birth to four years old. Ear, nose and throat (ENT) problems, relating to the ears, hearing and the upper respiratory system, are more common in young children with a subsequent diagnosis of autism, or who have demonstrated high levels of autism traits - finds new research published in BMJ Open. The study, which was led by researchers from the University of Bristol and Aston University, looked at data from over 10,000 young children from birth to four years old, who were part of the Bristol’s Children of the 90s study. The team investigated whether early ear and upper respiratory signs are associated with the development of autistic traits. Previous studies have found increased prevalence of ENT and related hearing conditions in children with autism compared with typically developing children, but much of this research has been carried out using health records, which can be biased. In the new study, researchers used data from Children of the 90s study, a general population cohort which recruited over 14,000 pregnant women from the Bristol area between 1991 and 1992 and has followed the lives of their offspring ever since. Within Children of the 90s, 177 children were identified with a probable diagnosis of autism – 139 boys and 38 girls. Those with autism traits were defined as the 10% of the sample with the highest trait scores. The team analysed responses to three questionnaires in which mothers recorded the frequency of nine different signs and symptoms relating to the ears, hearing problems and upper respiratory system when their child was aged 18 to 42 months. These included signs such as mouth breathing, snoring, pulling/poking of the ears, ears going red, worse hearing during a cold, ear discharge and rarely listening. The results found that the frequency of these symptoms was associated with high scores on each of the autism traits: social communication, coherent speech, sociability and repetitive behaviours, plus those with a clinical diagnosis of autism. Pus or sticky mucus discharge from the ears was especially associated with autism (an increased risk of 3.29) and for impaired hearing during a cold (an increased risk of 2.18). Dr Amanda Hall, senior lecturer in audiology, at Aston University, said: “Thanks to the data available from Children of the 90s, we were able to analyse results from a large number of children. We found that common ear and upper respiratory signs and symptoms appear to be more prevalent in those with a subsequent diagnosis of autism or demonstrated high levels of autism traits. “However it is also important to note that these ENT symptoms are very common in childhood and most children who experience these signs and symptoms do not go on to be diagnosed with autism. “For example, of the group of around 1,700 children who snored at age 30 months, most of those 1,660 children did not get a later diagnosis of autism. Our results suggest the need for increased awareness of possible ENT conditions.”
As technology continues to advance, so do the methods that hackers use to steal personal information. One such method that even the FBI has taken notice of is juice jacking, a technique where hackers use public charging stations to install malware onto your device or steal your personal information. The specific danger is very real, experts say. Steve Weldon, director of the Cyber Institute at Augusta University’s School of Computer and Cyber Sciences, said people need to understand there is risk when plugging a phone into a USB port at a public charging station. “USB uses pins for data and power. When we plug devices in to charge, the data pins are also connected,” said Weldon. “No big deal if we’re in an environment we trust. However, do we trust the public charging stations to have access to our data pins and being able to make data transfers? Probably not and that’s the gist of the recent warning.” There are ways to avoid the risk. “The best advice is to bring your own cables and adaptors. Then we can plug directly into power outlets,” Weldon said. If you must use a public charging station, he suggests using a data blocking USB cable. These cables only allow power to flow through, preventing any data transfer between the charging station and your device. Also, be aware if you are using your phone while charging it. “When using public charging stations we should, at a minimum, watch for strange behaviors, weird popups, and being asked questions about trusting the device or drive we’re connected to. Those are danger signs, and we’d want to disconnect quickly,” added Weldon. Another option to protect your phone from juice jacking is to use a wireless charger. These chargers do not require a physical connection between your device and the charging station. While wireless charging is typically slower than using a cable, it is a safe alternative when you’re on the go and need to charge your device. Keeping your personal information safe is crucial in today’s digital age. Protecting your phone from juice jacking is just one way to prevent hackers from accessing your sensitive data. Looking to know more? Connect with our expert today. Steven Weldon is the Director of Cyber Institute at the School of Computer and Cyber Sciences at Augusta University and is an expert in the areas of cellular and mobile technology, ethics in computer science, scripting and scripting and automation. Steve is available to speak with media - simply click on his icon now to arrange an interview today.
CAA Insurance Company is excited to announce the launch of the CAA Head Start Discount™, a program designed to help young drivers save on their insurance costs. The discount is available to the children or dependents of CAA Insurance auto policyholders in good standing. Effective April 15 for new business and June 15 for renewals, the CAA Head Start Discount offers 25 per cent savings to youth in Ontario under the age of 25 with a clean driving record. This discount is part of CAA Insurance's commitment to innovation and offering the best possible options to its customers. "We are proud to be the first company to bring 25 per cent savings to market for young drivers in good standing," says Matthew Turack, group president CAA Insurance. "This new discount is another way that we can help Ontario families save money." CAA Insurance has always made decisions with the best interests of its customers in mind. When designing programs, products, or initiatives, CAA Insurance makes data-driven decisions by polling both policyholders and the public and by asking ourselves the question, "What would a customer like and benefit from?" This question helps the company stay modern and relevant. "We are confident that continuing to innovate and offer savings and programs that cater to the lifestyles of our customers is a strong business decision," says Turack. "The CAA Head Start Discount gives CAA Insurance the ability to be responsive to the needs of our customers and to ensure that we are there for them in every stage of life." Parents or legal guardians of safe drivers who are CAA Insurance policyholders in Ontario can talk to an agent or broker to see if their children or dependents are eligible for the discount.
• Has potential to help geneticists investigate vital issues such as antibacterial resistance • Will untangle the genetic components shared due to common ancestry from the ones shared due to evolution • The work is result of a four-year international collaboration. Aston University has worked with international partners to develop a software package to help scientists answer key questions about genetic factors associated with shared characteristics among different species. Called CALANGO (comparative analysis with annotation-based genomic components), it has the potential to help geneticists investigate vital issues such as antibacterial resistance and improvement of agricultural crops. This work CALANGO: a phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species has been published in the journal Patterns. It is the result of a four year collaboration between Aston University, the Federal University of Minas Gerais in Brazil and other partners in Brazil, Norway and the US. Similarities between species may arise either from shared ancestry (homology) or from shared evolutionary pressures (convergent evolution). For example, ravens, pigeons and bats can all fly, but the first two are birds whereas bats are mammals. This means that the biology of flight in ravens and pigeons is likely to share genetic aspects due to their common ancestry. Both species are able to fly nowadays because their last common ancestor – an ancestor bird - was also a flying organism. In contrast, bats have the ability to fly via potentially different genes than the ones in birds, since the last common ancestor of birds and mammals was not a flying animal. Untangling the genetic components shared due to common ancestry from the ones shared due to common evolutionary pressures requires sophisticated statistical models that take common ancestry into account. So far, this has been an obstacle for scientists who want to understand the emergence of complex traits across different species, mainly due to the lack of proper frameworks to investigate these associations. The new software has been designed to effectively incorporate vast amounts of genomic, evolutionary and functional annotation data to explore the genetic mechanisms which underly similar characteristics between different species sharing common ancestors. Although the statistical models used in the tool are not new, it is the first time they have been combined to extract novel biological insights from genomic data. The technique has the potential to be applied to many different areas of research, allowing scientists to analyse massive amounts of open-source genetic data belonging to thousands of organisms in more depth. Dr Felipe Campelo from the Department of Computer Science in the College of Engineering and Physical Sciences at Aston University, said: “There are many exciting examples of how this tool can be applied to solve major problems facing us today. These include exploring the co-evolution of bacteria and bacteriophages and unveiling factors associated with plant size, with direct implications for both agriculture and ecology.” “Further potential applications include supporting the investigation of bacterial resistance to antibiotics, and of the yield of plant and animal species of economic importance.” The corresponding author of the study, Dr Francisco Pereira Lobo from the Department of Genetics, Ecology and Evolution at the Federal University of Minas Gerais in Brazil, said: “Most genetic and phenotypic variations occur between different species, rather than within them. Our newly developed tool allows the generation of testable hypotheses about genotype-phenotype associations across multiple species that enable the prioritisation of targets for later experimental characterization.” For more details about studying computer since at Aston University visit https://www.aston.ac.uk/eps/informatics-and-digital-engineering/computer-science
Researchers fight cybercrime with new digital forensic tools and techniques
Irfan Ahmed, Ph.D., associate professor of computer science, provides digital forensic tools — and the knowledge to use them — to the good guys fighting the never-ending cyber-security war. Ahmed is director of the Security and Forensics Engineering (SAFE) Lab within the Department of Computer Science and VCU Engineering. He leads a pair of interrelated projects funded by the U.S. Department of Homeland Security (DHS) aimed at keeping important industrial systems safe from the bad guys — and shows the same tools crafted for investigating cyber attacks can be used to probe other crimes. The goal of cyber attacks on physical infrastructure may be to cause chaos by disrupting systems and/or to hold systems for ransom. The SAFE lab focuses on protecting industrial control systems used in the operation of nuclear plants, dams, electricity delivery systems and a wide range of other elements of critical infrastructure in the U.S. The problem isn’t new: In 2010, the Stuxnet computer worm targeted centrifuges at Iranian nuclear facilities before getting loose and infecting “innocent” computers around the world. Cyber attacks often target a portion of the software architecture known as the control logic. Control logic is vulnerable in that one of its functions is to receive instructions from the user and hand them off to be executed by a programmable logic controller. For instance, the control logic monitoring a natural gas pipeline might be programmed to open a valve if the system detects pressure getting too high. Programmers can modify the control logic — but so can attackers. One of Ahmed’s DHS-supported projects, called “Digital Forensic Tools and Techniques for Investigating Control Logic Attacks in Industrial Control Systems,” allows him to craft devices and techniques that cyber detectives can use in their investigations of attacks on sensitive critical infrastructure. Their investigation capabilities, he explains, is an under-researched area, as most of the emphasis to date has been on the prevention and detection of their cyber attacks. “The best scenario is to prevent the attacks on industrial systems,” Ahmed said. “But if an attack does happen, then what? This is where we try to fill the gap at VCU. And the knowledge that we gain in a cyber attack investigation can further help us to detect or even prevent similar attacks.” In the cat-and-mouse world of cyber security, the way cybercriminals work is in constant evolution, and Ahmed’s SAFE lab pays close attention to the latest developments by malefactors. For instance, an attacker may go for a more subtle approach than modifying the original control logic. An attack method called return-oriented programming sees the malefactor using the existing control logic code, but artfully switching the execution sequence of the code. Other attackers might insert their malware into another area of the controller, programmed to run undetected until it can replace the function of the original control logic. Attackers are always coming up with new methods, but each attack leaves evidence behind. The SAFE lab examines possible attack scenarios through simulations. Scale models of physical systems, including an elevator and a belt conveyor system, are housed at the SAFE lab to help facilitate this. The elevator is a four-floor model with inside and outside buttons feeding into a programmable logic controller. The conveyor belt is more advanced, equipped with inductive, capacitive and photoelectric sensors and able to sort objects. The tools and methods applied in cybercrime can be useful in tracking down other malefactors. That’s where Ahmed’s second DHS-funded project comes in. It’s called “Data Science-integrated Experiential Digital Forensics Training based-on Real-world Case Studies of Cybercrime Artifacts.” Ahmed is the principal investigator, working with co-PI Kostadin Damevski, Ph.D., associate professor of computer science. The goal is to keep law enforcement personnel abreast of the latest trends in the field of cybercrime investigation and to equip them with the latest tools and techniques, including those developed in the SAFE lab. “For example, investigators often have to go through thousands of images, or emails or chats, looking for something very specific,” Ahmed said. “We believe the right data science tools can help them to narrow down that search.” The FBI and other law enforcement agencies already have dedicated cybersleuthing units; the Virginia State Police have a computer evidence recovery section in Richmond. Ahmed and Damevski are arranging sessions showing investigators how techniques from data science and machine learning can make investigations more efficient by sorting through the mounds of digital evidence that increasingly is a feature of modern crime.
Ask an Expert: Is the "AI Moratorium" too far reaching?
Recent responses to chatGPT have featured eminent technologists calling for a six-month moratorium on the development of “AI systems more powerful than GPT-4.” Dr. Jeremy Kedziora, PieperPower Endowed Chair in Artificial Intelligence at Milwaukee School of Engineering, supports a middle ground approach between unregulated development and a pause. He says, "I do not agree with a moratorium, but I would call for government action to develop regulatory guidelines for AI use, particularly for endowing AIs with actions." Dr. Kedziora is available as a subject matter expert on the recent "AI moratorium" that was issued by tech leaders. According to Dr. Kedziora: There are good reasons to call for additional oversight of AI creation: Large deep or reinforcement learning systems encode complicated relationships that are difficult for users to predict and understand. Integrating them into daily use by billions of people implies some sort of complex adaptive system in which it is even more difficult for planners to anticipate, predict, and plan. This is likely fertile ground for unintended – and bad – outcomes. Rather than outright replacement, a very real possibility is that AI-enabled workers will have sufficiently high productivity that we’ll need less workers to accomplish tasks. The implication is that there won’t be enough jobs for those who want them. This means that governments will need to seriously consider proposals for UBI and work to limit economic displacement, work which will require time and political bargaining. I do not think it is controversial that we would not want a research group at MIT or CalTech, or anywhere developing an unregulated nuclear weapon. Given the difficulty in predicting its impact, AI may well be in the same category of powerful, suggesting that its creation should be subject to the democratic process. At the same time, there are some important things to keep in mind regarding chatGPT-like AI systems that suggest there are inherent limits to their impact: Though chatGPT may appear–at times–to pass the famous Turing test, this does not imply these systems ’think,’ or are ’self-aware,’ or are ’alive.’ The Turing test aims to avoid answering these questions altogether by simply asking if a machine can be distinguished from a human by another human. At the end of the day, chatGPT is nothing more than a bunch of weights! Contemporary AIs–chatGPT included–have very limited levers to pull. They simply can’t take many actions. Indeed, chatGPT’s only action is to create text in response to a prompt. It cannot do anything independently. Its effects, for now, are limited to passing through the hands of humans and to the social changes it could thereby create. The call for a moratorium emphasizes ‘control’ over AI. It is worth asking just what this control means. Take chatGPT as an example–can its makers control responses to prompts? Probably only in a limited fashion at best, with less and less ability as more people use it. There simply aren’t resources to police its responses. Can chatGPT’s makers ‘flip the off switch?’ Absolutely – restricting access to the API would effectively turn chatGPT off. In that sense, it is certainly under the same kind of control humans subjected to government are. Keep in mind that there are coordination problems – just because there is an AI moratorium in the US does not mean that other countries–particularly US adversaries– will stop development. And as others have said: “as long as AI systems have objectives set by humans, most ethics concerns related to artificial intelligence come from the ethics of the countries wielding them.” There are definitional problems with this sort of moratorium – who would be subject to it? Industry actors? Academics? The criterion those who call for the moratorium use is “AI systems more powerful than GPT-4.” What does “powerful” mean? Enforcement requires drawing boundaries around which AI development is subject to a moratorium – without those boundaries how would such a policy be enforced? It might already be too late – some already claim that they’ve recreated chatGPT. There are two major groups to think about when looking for develop regulatory solutions for AI: academia and industry. There may already be good vehicles for regulating academic research, for example oversight of grant funding. Oversight of AI development in industry is an area that requires attention and application of expertise. If you're a journalist covering Artificial Intelligence, then let us help. Dr. Kedziora is a respected expert in Data Science, Machine Learning, Statistical Modeling, Bayesian Inference, Game Theory and things AI. He's available to speak with the media - simply click on the icon now to arrange an interview today.
Aston University and asbestos consultancy to use AI to improve social housing maintenance
• Aston University and Thames Laboratories enter 30-month Knowledge Transfer Partnership • Will use machine-learning and AI to create a maintenance prioritisation system • Collaboration will reduce costs, emissions, enhance productivity and improve residents' satisfaction. Aston University is teaming up with asbestos consultancy, Thames Laboratories (TL) to improve efficiency of social housing repairs. There are over 1,600 registered social housing providers in England, managing in excess of 4.4 million homes. Each of these properties requires statutory inspections to check gas, asbestos and water hygiene, in addition to general upkeep. However, there is not currently a scheduling system available that offers integration between key maintenance and safety contractors, resulting in additional site visits and increased travel costs and re-work. Aston University computer scientists will use machine-learning and AI to create a maintenance prioritisation system that will centralise job requests and automatically allocate them to the relevant contractors. The collaboration is through a Knowledge Transfer Partnership (KTP) - a collaboration between a business, an academic partner and a highly-qualified researcher, known as a KTP associate. This partnership builds on the outcomes of TL’s first collaboration with Aston University, by expanding the system developed for the company’s in-house use - which directs its field staff to jobs. The project team will improve the system developed during the current KTP to enable it to interact with client and contractor systems, by combining an input data processing unit, enhanced optimisation algorithms, customer enhancements and third-party add-ons into a single dynamic system. The Aston University team will be led by Aniko Ekart, professor of artificial intelligence. She said: “It is a privilege to be involved in the creation of this system, which will select the best contractor for each job based on their skill set, availability and location and be reactive to changing priorities of jobs." TL, based in Fenstanton, just outside Cambridge, provides asbestos consultancy, project management and training to businesses, local authorities, social housing and education facilities, using a fleet of mobile engineers across the UK. John Richards, managing director at Thames Laboratories, said: “This partnership will allow us to adopt the latest research and expertise from a world-leading academic institute to develop an original solution to improving the efficiency of social housing repairs, maintenance and improvements to better meet the needs of social housing residents.” Professor Ekart will be joined by Dr Alina Patelli as academic supervisor. Dr Patelli brings experience of software development in the commercial sector as well as expertise in applying optimisation techniques with focus on urban systems. She said: “This is a great opportunity to enhance state-of-the-art optimisation and machine learning in order to fit the needs of the commercial sector and deliver meaningful impact to Thames Laboratories.”
ChristianaCare Will Open Neighborhood Hospital at Its West Grove Campus
Plans for emergency and inpatient care follow extensive planning and community listening sessions ChristianaCare today provided new details about its plans to restore needed health care services to the southern Chester County, Pennsylvania, community at its West Grove campus, formerly Jennersville Hospital. ChristianaCare will open a neighborhood hospital that includes 10 emergency department beds and 10 inpatient beds. The neighborhood hospital will offer emergency care and behavioral health emergency care and provide diagnostic capabilities including ultrasound, computed tomography (CT), X-ray and laboratory services. The emergency department will treat common emergency care needs such as falls, injuries, heart attacks and strokes. Additionally, the hospital will benefit from access to ChristianaCare’s large network of specialists and support services — such as neurology and cardiology — through virtual consults. “We are excited to share our plans to restore important local health care resources to the southern Chester County community,” said Janice Nevin, M.D., MPH, ChristianaCare president and CEO. “We are committed to our neighbors in southern Chester County for the long-term, serving them as expert, caring partners in their health.” ChristianaCare’s plans for a neighborhood hospital meet the Pennsylvania Department of Health’s requirements for a micro-hospital, which must have a minimum of 10 inpatient beds and 10 emergency department treatment rooms and offer imaging services on-site. “After listening to the needs of the community and an extensive review of historical and projected demographic data, we believe this neighborhood hospital model will provide the right mix of health care services for the West Grove campus in a way that is sustainable and meets the community’s most immediate needs today,” said Heather Farley, M.D., chief wellness officer for ChristianaCare and the clinical leader for the West Grove planning. “It also sets us up to grow in meeting more of the community’s needs in the future.” ChristianaCare anticipates an opening date in late 2024, although the date is subject to change due to the significant work that will be required to renovate the facility to bring it up to current standards, including the build-out of an entirely new information technology infrastructure. Last year, ChristianaCare received funding from Chester County and the Commonwealth of Pennsylvania totaling $5 million to assist in facility upgrades. ChristianaCare already serves residents of southern Chester County. Since 2020, ChristianaCare has provided primary care in three practices that are located in Jennersville, West Grove and Kennett Square. The West Grove practice has recently brought on additional providers and will soon begin offering virtual visits with ChristianaCare specialists. Combined, these three practices are now the “medical home” for 22,000 residents in these communities. ChristianaCare finalized the purchase of its West Grove campus from Tower Health in June 2022. The hospital has been closed since Dec. 31, 2021.
How Colorism Impacts Professional Achievement
Melissa J. Williams is associate professor of organization and management at Emory University’s Goizueta Business School. She investigates what happens when social identities collide with workplace hierarchies, and the consequences of putting people in positions of power and leadership. Here she looks at something less documented: the extent to which our appearance is stereotypically Black or white. And what that means for our prospects. Rosa Parks made history on December 1, 1955, when she refused to relinquish her bus seat to a white passenger. Her simple gesture of defiance ignited a city-wide bus boycott in Montgomery, Alabama, and has gone down in the annals as a pivotal moment for the social justice movement in the United States. However, Parks was not the only African American to make a stand against racial segregation. Nor was she the first. In March of the same year in the same city, 15-year-old Claudette Colvin also refused to give up her seat to a white woman on a Montgomery bus. So why isn’t she a household name? In part, Colvin’s age was a factor. The National Association for the Advancement of Colored People and other Black civil rights groups got behind Parks, reasoning that an older woman would be better equipped to withstand the controversy. But as Colvin herself stated, there were other factors at play. There was something about Parks’ appearance that gave her more leverage, reasons Colvin explained in Philip Hoose’s award-winning book on the civil rights movement. She had the “right hair and the right look.” Not only that, but her appearance “was the kind that people associate with the middle class. She fit that profile.” Success isn’t black or white. It’s shades of…white. Colorism has long been documented in the U.S. and elsewhere. Discrimination against human beings on the basis of their facial features, hair, and skin color transcends race—it is prevalent even within groups that share the same ethnic identity, where lighter skin tones are perceived to be more valuable than dark. Research over the years has shed light on the nefarious effects of colorism or shadeism in terms of equity and access to opportunity. But a new landmark study by Associate Professor of Organization & Management Melissa Williams, and Goizueta colleagues, PhD student Tosen Nwadei and Roberto C. Goizueta Chair of Organization & Management Anand Swaminathan, looks at just how Black or white someone appears—and how this shapes the way others see their potential; as well as the kinds of professional outcomes they can expect. What Williams and her co-authors, who also include James B. Wade from George Washington University and C. Keith Harrison and Scott Bukstein of University of Central Florida, find in their studies, is that Black professionals are less likely to be promoted to leadership roles. What’s more, for Black professionals whose physical appearance is more Black-stereotypical, their chances drop from 12 percent to a mere seven percent. For white professionals, on the other hand, having a more white-stereotypical appearance is an advantage for leadership – looking more stereotypical as a white person increased their chances of holding a leadership role from 32 percent to 43 percent. Williams and colleagues ran both an archival study and a lab experiment with volunteers to discover the extent to which degrees of ethnicity in appearance influence perceptions of a person’s potential for leadership and actually predict their likelihood of success in an industry. While the science unequivocally shows that white people enjoy advantages over Black people in opportunity and outcome across the board, Williams et al. were also interested in exploring what she calls the “continuum of race:” the more nuanced racial characteristics and differences that shape how the world sees us. There’s an assumption that everyone within the same ethnic group—Black or white—will experience the same degree of bias and prejudice, or acceptance and success. And we wanted to push back on that idea to really explore how degrees of whiteness or Blackness play out in people’s minds and shape how they read you physically. -Associate Professor of Organization & Management Melissa Williams Previous research shows the link between persisting in STEM-based majors in college and how much students are perceived to look “like their race,” she says. Those who are perceived to look less typically Black tend to make more friends outside their ethnic group—a boundary-crossing behavior that can help drive careers. To test these ideas, Williams and co-authors ran two studies. First, they accessed publicly available data including photographs, professional background, and positions from one large industry within the U.S.: American college football. College football is really rich in data. You can access job titles, photos, leadership, and non-leadership roles; and you can separate individuals out into head coaches and position coaches who have overseeing roles but who are not leaders per se. Separately, Williams et al. recruited a group of volunteers to look at the images of the football coaches: a mix of Black and white head and position coaches. These volunteers were asked to rate how typical they perceived each individual’s appearance to be of European or white Americans, or of Black Americans, ascribing each person a score out of five based on features such as their skin color, hair, eyes, nose, cheeks, and lips. These scores were then regressed—or cross-referenced—with the position held by the individuals in the photos to determine the relationship between their racial stereotypicality and their leadership role. Crunching the numbers, Williams found a direct correlation between the degree of perceived whiteness or Blackness of the coaches and how likely they actually were to be successful leaders. “We do find a kind of consensus in people’s view of what it means to be Black or white straight off,” says Williams. “So we do all seem to agree on the physical attributes of race. But it gets really interesting when you regress the scores that these photos get and compare them with the actual jobs these guys hold.” What we see is that, controlling for their age, attractiveness, and professional experience, the white guys who look less stereotypically white are 32 percent likely to occupy leadership roles. This rises to 43 percent with the men who look more like a stereotypical white guy. For Black professionals, the inverse is true, she notes. The more typically Black an individual looks, the less probability there is that he occupies a leadership job. Specifically, that figure drops from 12 to seven percent. So benchmark leadership probability is not only already lower for Black individuals, but drops even further when people are deemed to look “more typically Black,” says Williams. A follow-up experiment invited volunteer football fans to compare how they saw the potential future success of two same-race college football players—one more stereotypical in appearance than the other. The results confirm what Williams et al. suspect: 70 percent of the time, participants chose the more-typical white individual over the less-typical white individual as having greater leadership potential. In other words, the more white a white person looks, the more they are seen as leadership material. These findings should translate into an imperative, says Williams; and that is to think more broadly about race and how it impacts life outcomes. Because race is not a uniform experience, she says. “Organizations might want to look beyond just ticking the box when it comes to diversity and inclusion, and give deeper thought to who they want to recruit, support and push forward in representation. For white people, paying attention to whiteness—the types of white people who enjoy advantages in leadership—can be useful in reframing certain questions. A good place to start might be for leaders to ask: do I want to support people who look like me? Because the face you choose can ultimately help disrupt, or reinforce, the stereotype.” Interested in learning more or connecting with Melissa J. Williams, associate professor of organization and management at Emory University’s Goizueta Business School? She's available to speak about this subject - Simply click on her icon now to arrange an interview today.
AI-powered cruise control system may pave the way to fuel efficiency and traffic relief
The CIRCLES Consortium, consisting of Vanderbilt University, UC Berkeley, Temple University and Rutgers University-Camden, in coordination with Nissan North America and the Tennessee Department of Transportation, concluded a five-day open-track experiment on Nov. 18. Congestion Impacts Reduction via CAV-in-the-loop Lagrangian Energy Smoothing (CIRCLES) Researchers tested an AI-powered cruise control system designed to increase fuel savings and ease traffic using 100 specially equipped Nissan Rogue vehicles. The experiment—which ran from Nov. 14 through Nov. 18 on a sensor-filled portion of Interstate 24—is based on the results from an earlier, closed-track study where a single smart vehicle smoothed human-caused traffic congestion, leading to significant fuel savings. A single AI-equipped vehicle could influence the speed and driving behavior of up to 20 surrounding cars, causing a kind of positive ripple effect in day-to-day traffic. The CIRCLES Consortium will spend the next several months analyzing data collected on the AI-equipped vehicles and their impact on the flow of traffic over the duration of the experiment. The test was conducted on the recently opened I-24 MOTION testbed, the only real-world automotive testing environment of its kind in the world. Stretching for four miles just southeast of downtown Nashville, the smart highway is equipped with 300 4K digital sensors capable of logging 260,000,000 vehicle-miles of data per year. The CIRCLES Consortium research is supported by the National Science Foundation and the U.S. Departments of Transportation and Energy. Support was also provided by Toyota North America and General Motors. The experiment included Toyota RAV4 and Cadillac XT5 vehicles. Preliminary vehicle and traffic flow detection in the I-24 Mobility Technology Interstate Observation Network (MOTION). “On November 16 alone, the system recorded a total of 143,010 miles driven and 3,780 hours of driving. The I-24 MOTION system, combined with vehicle energy models developed in the CIRCLES project, provided an estimation of the fuel consumption of the whole traffic flow during those hours. The concept we are hoping to demonstrate is that by leveraging this new traffic system to collect data and estimate traffic and applying artificial intelligence technology to existing cruise control systems, we can ease traffic jams and improve fuel economy,” the CIRCLES team said in a joint statement. “Nissan has always been a pioneer in automotive innovation, and with our long-term vision, Nissan Ambition 2030, we know our future is autonomous, connected and electric,” said Liam Pedersen, deputy general manager at the Nissan Alliance Innovation Lab in California’s Silicon Valley. “CIRCLES shares our common goal of building a safer, cleaner world by empowering mobility.” “When it comes to transportation and mobility in Tennessee, we are at a critical juncture,” said Deputy Governor and TDOT Commissioner Butch Eley. “Traffic congestion is now becoming more prominent throughout Tennessee, and not just in urban areas. Addressing these challenges will force us to think critically about solutions, as transportation infrastructure projects traditionally are not identified nor completed before traffic congestion more dramatically affects our quality of life. One of these solutions is greater use of technology to enhance mobility. We are confident that this project and others like it will further strengthen Tennessee’s reputation for being a hub of automotive excellence.” “The I-24 MOTION project is a first-of-its-kind testbed, where we’ll be able to study in real time the impact connected and autonomous vehicles have on traffic in an open road setting,” said Meredith Cebelak, adjunct instructor in civil and environmental engineering at Vanderbilt and Tennessee transportation and transportation systems management and operations department leader at Gresham Smith. “The permanent infrastructure has been designed and installed, meaning the testbed will always be ‘on’ and available to researchers. By unlocking a new understanding of how these vehicles influence traffic, vehicle, infrastructure, and traffic management strategies, design can be optimized to reduce traffic concerns in the future to improve safety, air quality and fuel efficiency.” “Partnership across universities, government and the private sector is the key to pioneering projects like this one,” Vice Provost for Research and Innovation Padma Raghavan said. “From its earliest inception, all the partners in this effort have played vital roles. That trusted collaboration continues as the team analyzes results to seek new insights to address pressing challenges in transportation in Tennessee and beyond.”
