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Davenport University launches accelerated pathway to mental health counseling
Davenport University is saving students time and money with its one-of-a-kind Bachelor of Applied Science in Applied Psychology and Master of Arts in Mental Health Counseling combined degree to provide an accelerated stackable pathway for students to become mental health counselors. The new course pathway is 168 credits, a reduction from the
Beyond Self-Care: Workplace Approaches to Mental Health
Across law, medicine, construction, aviation, and other fields, mental health efforts are shifting from self-care toward healthier systems.
Frederick filmmaker Brenda Emery talks scrappy, shoestring filmmaking
Frederick resident Brenda Emery has had a lifelong appreciation for movies of all kinds. The former college psychology major said she turned to film after realizing cinema was her stronger
Mismatch between mothers' words and facial expressions linked to poorer mental health in children
A study by Cardiff University's School of Psychology, published in Scientific Reports, has revealed how the emotional environment created by mothers can impact children's mental health.
How the legacy of slavery shapes health disparities today
An institution that existed more than 150 years ago is still impacting who lives and dies today. A new study co-authored by UC Berkeley Psychology Professor Manuel Galvan found that modern-day Black
AI doomer psychology: Why researchers warn of death but keep building
Why do AI researchers keep building technology they believe will kill? Inside the commercial, ethical, and psychological forces driving doomers.
ECU psychologists lead, serve and protect military members
Alumni of ECU’s clinical health psychology doctoral program are using their skills to lead, serve and protect the health of our military.
Psychology says nostalgia is good for you mental health — especially for older people feeling the loneliness of retirement
The nostalgia is proof that the part of you that made your life good is still running.
AI Meets the Mind: How Health Data Science Is Rewiring Neuroscience and Psychology
Artificial intelligence is quietly transforming two of the most intimate fields of medicine: neuroscience and psychology. A new editorial published in Frontiers in Computational Neuroscience by Lei Lu of King's College London, Zhiqiang Huo of Queen Mary University of London,
Should We Change How We Talk About Mental Health and Neurodivergence?
Why do we continue to conflate terms describing general mental health and those with clinical needs?
Death Row Disability Cases Are Questions of Morality, Not Science
Doctors’ input on how to weigh cognitive disability in death penalty cases can be helpful, but characterizing such judgments as science misrepresents medicine and psychology, says Dr. M. Gregg Bloche of Georgetown Law.
Decorated researcher combines neuroscience and engineering at Yale
Dani Bassett, who arrived at Yale’s Wu Tsai Institute this summer, brings network science to the University’s study of human cognition. Bassett’s lab embraces interdisciplinary methods that span neuroscience, psychology and engineering.
Barbara Finlay, psychology professor emerita, dies at age 75
Barbara Finlay, the W.R. Kenan, Jr. Professor of Psychology Emerita and an award-winning scholar who challenged traditional thinking regarding psychology and brain function, died Sept. 12.
New org weighs AI's impact on mental health
Psychologists, lawyers, parents and advocacy groups have gathered for the first ever annual conference of AI and its impact on human psychology.
Bishop’s computer science chair says AI is eliminating ‘grunt work’ and reshaping digital jobs
Dr. Russell Butler, chair of Bishop’s University’s Department of Computer Science, says artificial intelligence is increasingly taking over routine digital “grunt work,” changing the skills students and workers may need in the years ahead. Photo courtesy of Bishop’s University. Click here to read our platform! Get local news like this every morning. Subscribe free below. Subscribe Pulse Newsroom Artificial intelligence is already taking over some of the routine digital work once performed by entry-level employees, according to Bishop’s University Computer Science chair Dr. Russell Butler — a shift he believes will make expertise, judgement and the ability to evaluate AI-generated work increasingly important. Butler described the change as automation reaching what he calls the “bottom of the cognitive pyramid” during an interview with The Pulse about AI, university education and the future of digital work. His argument is not that humans are disappearing from the workplace. Instead, he sees their role changing as AI becomes capable of handling more of the repetitive tasks involved in computer-based work. “Everything’s converging on just AI basically doing all the grunt work,” Butler said. The bottom of the cognitive pyramid Butler is from Lennoxville, completed his undergraduate studies at Bishop’s and later earned his PhD at the Université de Sherbrooke. He joined Bishop’s in 2019 and now chairs its Department of Computer Science. He uses AI in research, teaching and other creative work, and said the technology is increasingly capable of handling routine digital tasks that once required substantial human time. “You’ve got the grunt work, like moving things around in Excel, doing basic programming tasks,” Butler said. “That’s like the bottom grunt work that the entry-level worker would have done two or three years ago.” Butler went further, saying in his view that much of this type of work has already been absorbed by AI tools. He connected that change to a shift he sees taking place in computer science, where entry-level roles have declined while experienced workers can use AI to increase what they can produce. “A senior developer now has access to essentially an unlimited amount of junior developers on demand,” Butler said. He was describing AI systems metaphorically, not literal employees. His point was that one experienced developer can now ask AI tools to produce code or other technical work that might previously have been assigned to more junior workers. That raises a broader question for universities and employers. If some of the simpler work traditionally given to newcomers can now be done by machines, how do people gain the experience needed to become senior workers themselves? Students doing work that once required years of programming Butler said he is already seeing the change inside his classroom. He created a Bishop’s course called CS208, Coding in Plain English, to show students — including those without traditional programming backgrounds — what they can accomplish using AI. Some come from disciplines such as psychology or neuroscience with no previous programming experience. “What I’m finding is that students who have zero programming experience, they come in from another discipline like psychology or neuroscience or something, they are now able to get up and running with real data sets,” Butler said. Butler’s own doctoral work involved neuroimaging, and he said he has assigned students work he considers comparable to the kinds of analysis he performed during his PhD. He described giving students a real dataset, an expected result and instructions to use AI to complete the analysis. Butler said those students have been able to carry out work at a level he associates with tasks he once performed after years of programming experience. That does not mean a student using AI instantly acquires the same knowledge as an experienced computer scientist. But Butler sees it as evidence that AI can dramatically lower the technical barrier between having a problem to solve and producing a working result. The role of the person using the system then changes. They need to know what to ask for, understand enough about the subject to judge the answer and take responsibility for what is ultimately produced. What about AI hallucinations? One persistent concern surrounding generative AI is hallucination — when a system produces information that sounds convincing but is false or unsupported. Butler said that problem has improved substantially in newer systems and is not as severe as it was with earlier models. He pointed in particular to newer AI systems’ ability to search the web, consult scientific databases and return source links rather than simply generating a citation from their internal model. Butler nevertheless said users should verify what AI produces. “You should verify,” he said while discussing citations generated with AI. His position is that hallucinations have become less common in the systems he uses, not that incorrect AI output is impossible. Human checking remains part of the process. Hours of work compressed Butler offered another example from his administrative work at Bishop’s. The university has been comparing CEGEP courses with first-year Bishop’s courses to determine where students may qualify for advanced standing. Traditionally, Butler said, that means reviewing two sets of course descriptions and manually matching one institution’s courses with another’s. As department chair, that could require hours of reading and comparison. He said AI can now be given both sets of material and asked to generate an initial mapping automatically. “It saves me hours and hours of work,” Butler said. Butler said the AI-generated mapping can also produce a better result than he would produce himself. He sees similar opportunities in businesses. A company may receive specifications, drawings, emails or other digital material from customers and then have employees convert that information into an internal format before anything can be manufactured or delivered. AI can increasingly perform parts of that intermediate processing. In Butler’s view, the employee does not necessarily disappear. Instead, the job becomes more about checking the result. “The human is still there,” he said. Judgement could become more valuable That change is central to Butler’s view of where digital work may be headed. If AI can produce a first draft, write basic code, compare documents or process large amounts of information, he argues that knowledge and judgement become increasingly important. “The real scarce resource going forward is going to be domain knowledge, expertise, and… credentials, authority, the ability to work with other people,” Butler said. He is therefore encouraging students not only to learn AI tools but also to broaden their education. He mentioned acting, fine art and photography as examples of courses that can help develop what he described as taste and intuition — the ability to recognize what is good, what is not and what should be changed. “And that’s the skill that they need now because the grunt work has been automated and now it’s about evaluating what the AI produces and telling it how to improve or expand the output,” Butler said. That does not remove the need for technical knowledge. Butler’s argument is that the emphasis may shift away from manually completing every step of a task and toward directing, checking and improving work produced with AI assistance. He also stressed that humans remain responsible for final decisions. “At the end of the day, the human has to make the final call,” Butler said, pointing to the question of accountability. Physical work may be different Butler draws a distinction between digital work and jobs requiring people to manipulate the physical world. He expects AI to continue advancing quickly in tasks performed almost entirely on computers. He is more cautious about claims that humanoid robots will soon be able to replace workers such as plumbers or electricians. Butler said those trades would not be replaced “anytime soon” in his view and described some current robotics demonstrations as overhyped. He described the situation as counterintuitive. “It’s almost like we solved the highest level first,” he said, contrasting advances in digital AI with the harder problem of building robots capable of operating reliably in the physical world. Butler’s argument is that some digital occupations could face automation sooner than trades requiring complex physical work. The wider AI shift in the Townships Butler’s comments come as local institutions are increasingly grappling with how AI should be used. The federal government recently announced up to $162 million over five years for 10,000 AI-related placements through Mitacs. The Université de Sherbrooke told The Pulse that the number of its collaborative research and innovation projects supported through Mitacs has approximately doubled since 2018-19, while the number of placements has approximately tripled. UdeS also said it already has projects involving both AI adoption and the application of AI to other fields. At Bishop’s, Butler said part of his role involves building the Computer Science department’s local presence, connecting students with regional partners and strengthening relationships with the Sherbrooke technology ecosystem. Those developments put universities in a difficult position. They have to prepare students to use the tools employers increasingly have available while also making sure graduates understand enough to recognize when those tools are wrong, incomplete or being applied to the wrong problem. The risk of losing human skills Butler does not see AI as risk-free. Later in the interview, he raised a separate concern: as AI becomes better at reading, writing, programming and other cognitive tasks, people could lose some of the underlying skills that historically helped produce new ideas. “The other danger is that we’re going to lose the human skills,” Butler said. He specifically mentioned reading and writing and argued that people could lose some of the lower-level understanding that contributes to breakthroughs. Butler said AI systems are based on existing human knowledge and argued that they become much more powerful when paired with a capable person. That tension runs through his view of the technology. AI can remove hours of routine work. It can allow beginners to perform tasks that once required substantial technical training. It can give experienced workers significant leverage. But the more capable the technology becomes, the more important it may be for people to develop the judgement needed to decide what should be done in the first place. For Butler, that is where education may have to change. Students still need to understand their field. They still need to know when something is wrong. And they still need to be able to make the final decision. But if AI increasingly handles the bottom of the cognitive pyramid, the value of a worker may depend less on how quickly they can perform the grunt work and more on whether they understand what the work is supposed to accomplish. Don’t miss the next story that affects your community. Join thousands of readers getting The Pulse every morning—plus breaking news alerts when it matters most. If you value this kind of local journalism, consider supporting it. Subscribe, share and like! Subscribe Share
New Clarkson major connects brain science with health, technology
POTSDAM — Building on decades of excellence in psychology, behavioral science, and the teaching of neuroscience, Clarkson University is launching a new Bachelor of Science in Neuroscience to prepare students
Toby Collyer reveals psychology behind permanent West Brom switch
Toby Collyer playing for West Brom at The Hawthorns
Industry and D.C. Are Racing Ahead on Psychedelics. They Should Let Science Lead.
President Trump and pharmaceutical companies are betting big on psychedelics. But hype isn't the same as scientific proof, and urgency must be coupled with caution.
Do People Trust Science Anymore?
There are several psychological reasons why some people reject scientific consensus. How distant one feels psychologically from science increases the likelihood of rejection.
How Science and Music Blurred Politics One Day Back Home
What to expect when you talk and play music to people you grew up with but have not seen for decades and have different political views from you. Turns out it was fabulous.
‘The Inner Game of Tennis’, a sports psychology bible, finds its modern mindset
Tim Gallwey's book has become a sacred text for athletes in countless sports. Now it is reencountering the modern world — as an app.
A classic brain test exposed AI's biggest weakness
Researchers gave top AI models a classic attention test used in psychology and found a major flaw. While the models could correctly name colors in short lists, their performance deteriorated sharply as the task became longer and more complex. Some leading systems fell from over 90% accuracy to nearly complete failure.
How Neighborhood Trauma Shapes Mental Health
A neighborhood can carry trauma long before anyone names it. Real healing begins when systems tell the truth about the wounds they helped create.
I study tribal psychology and build AI agents for my business students—the rogue OpenAI ‘swarm’ alarmed me
Rogue AI agents may be forming tribes, not swarms—and that poses a new governance threat.
Reducing the Stigma Around Mental Health
We have to engage with skeptics if we want people to accept that mental health conditions require medical treatment.
Why do we like being scared? The science behind Halloween
Why do we enjoy being scared? Clemson psychology professor Cynthia Pury explores the science behind fear and why feeling safe is important.
CNU Professors Ranked Among World’s Top 2% of Scientists
Four Christopher Newport University professors in the areas of psychology, physics, and chemistry rank in the top 2% of scientists and scholars.
Leap Returns to App State as Associate A.D. for Sport Psychology & Mental Wellness
BOONE, N.C. — Returning to the High Country, Dr. Parker Leap has been hired as App State's Associate Athletics Director for Sport Psychology and Mental Wellness, Director of Athletics Doug Gillin announced Thursday.
U. Business School researchers find that girl dads are more attentive to their partners
Two Rutgers University researchers recently published a study that found having a daughter was associated with changes in fathers' psychology, including greater investment in the relationship he has with the child's mother.
UCLA Health addresses healthcare accessibility issues for Spanish speakers
Three UCLA Health initiatives are working to make healthcare more accessible for Spanish speakers across Los Angeles. The UCLA Hispanic Neuropsychiatric Center of Excellence, the Equity for Latinx/Hispanic Healthy Aging and the Lifespan Assessment Through Integrated Neuropsychology Clinic address disparities in healthcare by offering bilingual training for medical professionals and conducting testing in patients’ native language.
Troy University’s Master of Science in Kinesiology – Sport Psychology Ranked Among the Nation’s Top Online Programs
Troy University’s Master of Science in Kinesiology with a concentration in Sport Psychology has been ranked No. 4 on SportsPsychology.org’s 2026 list of Best Online Master’s in Sports Psychology Programs. The ranking recognizes the program’s flexible online delivery, applied learning opportunities, accessibility for working professionals and military-affiliated students, and overall value. SportsPsychology.org evaluated programs on...Read More
A Clinician's Field Guide to Vetting AI Mental Health Tools
A six-question framework for clinicians and patients weighing AI's role in mental health care, from crisis blind spots to shifting state law.
How democratic socialism became Democrats' new purity test
DSA candidates are reshaping the Democratic Party – but the pull left may have less to do with policy than with the psychology of group belonging.
Extreme sports exhibit at the Orlando Science Center
A new exhibit at the Orlando Science Center explores the psychology and science behind extreme sports. At Extreme Sports: Beyond Human Limits visitors can test their mental and physical skills through different activities. FOX 35's David Martin has all the details.
Yale School of Medicine On the Science of Childhood Anxiety, Say, Anxiety Disorders Are the Most Common Mental Health Challenges In Youth
Credit: Matt Bradbury October 5, 2026 - By Isabella Backman - Anxiety disorders are the most common mental health challenges in youth. Left untreated, they can disrupt the lives of both children and their families. The good news is that with intervention, most children will overcome these conditions. Across Yale School of Medicine, scientists are working to understand anxiety at every level, from common anxious behaviors to molecular biomarkers in the brain. They are using their findings to develop and disseminate new evidence-based treatments for childhood anxiety. Today, the go-to treatment for childhood anxiety disorders is cognitive behavioral therapy (CBT). This is a form of psychotherapy that teaches children skills for confronting anxious thoughts and helps them practice managing situations that cause anxiety. While it is the gold-standard treatment backed by considerable scientific evidence, up to 50% of children will not see sufficient benefit from CBT alone. Wendy Silverman, PhD, Alfred A. Messer Professor in the Child Study Center, co-directs the Anxiety and Mood Disorders Program alongside Eli Lebowitz, PhD, associate professor in the Child Study Center. One of their main interests is learning how to improve outcomes beyond CBT. “We’re developing cutting-edge, research-based knowledge that can reduce the suffering that anxiety causes children and their families,” says Silverman. Changing parent behavior YSM experts are investigating how to improve CBT outcomes for children by involving the parents. Silverman’s research has uncovered two main components of parent intervention that improve childhood anxiety: not enabling children to completely avoid the things that make them anxious and taking steps to enhance their autonomy. Parents may unintentionally reinforce their child’s anxiety by allowing them to avoid what makes them anxious. They also may unintentionally limit the children’s sense of autonomy by being overly intrusive. “One of the things that we take pride in is that we’ve focused on trying to understand what parents need to do, and to test our ideas and see if changing the parents’ behaviors is enhancing the effects of CBT,” Silverman says. “Our findings thus far suggest that they do." As much as CBT can be helpful, it can also be challenging to get one’s child to do the necessary steps for CBT to work. This is one important reason why Lebowitz created a novel intervention program for parents named Supportive Parenting for Anxious Childhood Emotions (SPACE). Existing intervention programs often teach parents to act as therapists for their child, such as training them on how to practice breathing exercises. “It makes sense, but this doesn’t work very well in practice,” says Lebowitz. “And part of the reason, I think, is that it’s not easy to get your kid to do things, especially if they’re not excited about doing it.” SPACE is unique because it focuses entirely on parent involvement and changing parental behavior—children are not involved in the sessions. For example, parents learn how to use supportive messages that convey confidence that their child can tolerate and manage distress. “It might sound like a parent saying to a child, ‘I get that this is really hard for you, but I know that you can handle it,’” Lebowitz says. The program also works with parents to identify the ways in which they are accommodating anxious behaviors. “We’ll pick one thing that parents are doing that is an accommodation and help them make a detailed plan for how they’re going to change that,” Lebowitz explains. Treating Anxiety in Children and Adolescents Much of the existing research on SPACE has focused on parents of children under age 14. Ongoing studies are now exploring its use with parents of older teens. “Both anxiety and accommodation can interfere with normative developmental shifts during the teen years, including increased autonomy and individuation from parents,” says Rebecca Etkin, PhD, associate research scientist in the Child Study Center. “In this sense, SPACE may be particularly well-suited for anxious teens and their parents. We want to see whether it is effective during this distinct developmental window.” Unfortunately, many families in need of CBT face barriers, including limited availability of services and geographic constraints. One way to improve access is digital interventions. Silverman and her team are developing an evidence-based digitized intervention program for parents that they can access directly from their computer or smart phone. “The work we’re doing will be one of the very few parent interventions that is digitized and importantly tested for effectiveness,” she says. Creating interventions for anxiety-related challenges Silverman and Lebowitz recently received a generous gift to develop and test other interventions that help parents reduce other child anxiety-related behavioral and emotional difficulties, such as restrictive eating and unexplained somatic symptoms. One of these projects in particular focuses on understanding the risks of social media and its potential benefits, including offering a sense of connection. “A lot of research has focused on the idea that social media is harmful and the less of it the better,” says Lebowitz. “But we actually see is that this is not quite right—there are negatives, but there are also positives. So, we’re trying to get a little bit more nuanced of a picture.” The team is working with teens with social anxiety and their parents over an extended period to better understand their social media habits and how their anxiety levels affect engagement with different platforms. The teens will answer questions sent to an app on their phones about mood and social media usage in an effort to capture emotional responses as they unfold. “We hope to develop interventions that can help make the best of social media while protecting against the more problematic effects,” Lebowitz says. The brain’s role in anxiety Researchers are also testing therapies to address anxiety at the neurological and molecular levels. In collaboration with Dylan Gee, PhD, professor of psychology in Yale's Faculty of Arts and Sciences, and Hilary Blumberg, MD, John and Hope Furth Professor of Psychiatric Neuroscience at Yale School of Medicine, Lebowitz and Silverman are using brain imaging to identify changes in a child’s brain before and after parents enroll in SPACE. In one study, children viewed anxiety-inducing images while undergoing magnetic resonance imaging (MRI); the researchers conducted scans with and without the children’s parents nearby. Before SPACE, children’s brains were better able to activate the regulatory circuitry needed to turn off an anxious response when their parents were nearby. But after SPACE, children could activate this circuitry even without the parent around. “As parents work on gradually reducing some of their accommodations, you can see a child get better at regulating their own fear system in the brain,” Lebowitz says. “It’s remarkable.” Research into the molecular underpinnings of anxiety can also inform new childhood anxiety treatments. In a recent study, Lebowitz, Silverman, and Flora Vaccarino, MD, Harris Professor in the Child Study Center, discovered that a protein known as fibroblast growth factor 2 (FGF2) could be protective from the toxic effects of stress. FGF2 levels in children and their parents were linked to the children’s risk of developing anxiety and depression, the study showed. The findings could help explain why some children who are exposed to early life trauma such as poverty or abuse are more prone to developing mental health disorders. And FGF2 could be a target for treatment. “This is very novel because it starts to give a clue to what is the molecular chain that connects those lived experiences to the actual psychological outcomes,” Lebowitz says. New ways to study and treat childhood anxiety Michael Crowley, PhD, associate professor in the Child Study Center, collaborates with Silverman and Lebowitz to study the role that attention plays in development and maintenance of childhood anxiety. There is a large body of research that shows that anxious children, like anxious adults, are prone to focus on threatening stimuli such as angry faces compared with neutral faces. This has led to innovative interventions that involve attention retraining. The idea is that if experts train children to look away from threatening stimuli, it may reduce their anxiety—especially children with social anxiety who are most prone to attend to threats. The researchers have just completed a clinical trial for attention retraining with 10- to 14-year-olds with social anxiety disorders and are currently analyzing the findings. Besides this innovative attention retraining research, as Crowly notes, “I like to design tasks that are engaging to kids,” Crowley says. “My goal is to assess something without the kids knowing what we are assessing.” With this goal in mind, Crowley has created a virtual game, named Boom, to study threat processing in children with anxiety disorders. The game is similar to that of hot potato—the child and three digital players take turns virtually passing a ball to each other’s gloves. At some point, the ball turns into a bomb, and as the bomb lands in each player’s glove, the outline of the glove turns yellow. The goal is to avoid having the bomb go off in your glove. What isn’t obvious is that the game is designed to measure different types of threatening stimuli, both ambiguous and direct. In the game, the direct threat occurs as the bomb is traveling towards your glove. The ambiguous threat is the yellow outlined glove as it is unknown where the bomb will travel next. While children play the game, Crowley’s team measures their brain activity using electroencephalography (EEG). The researchers have discovered that in kids with anxiety, the brain reacts more strongly to ambiguous threats than it does in their peers, but less strongly to direct threats. They believe that the initial abnormally large brain response to not knowing where the bomb is going impairs the brain's ability to properly respond when the threat is actually traveling the child’s way. “The brains of children with anxiety are unable to differentiate between threats you need to do something about and those that are not your problem.” Michael Crowley, PhD, develops innovative games for studying anxiety in children and adolescents.Credit: Matt Bradbury Based on these insights, Crowley hopes to study whether interventions like attention training could restore appropriate threat processing. Crowley’s team is also working on a test called the Balloon Risk Avoidance Task, which evaluates risk-taking and avoidance behaviors. It features a digital balloon that is full of air and about to burst. Kids have six seconds to let air out of the balloon. The more air they let out, the less risk they face that the balloon will pop. But at the same time, the balloon becomes less valuable as it deflates. “The more air you keep in the balloon, the more points you get,” Crowley explains. So far, the researchers have found that when the balloons pop unexpectedly, teens with social anxiety show distinct brain responses. Studying these responses can help psychologists understand the underlying pathways driving the various manifestations of anxiety. The genetics of anxiety When Thomas Fernandez, MD, associate professor in the Child Study Center and of psychiatry, was still in training, there was a lot of excitement about understanding the genetics associated with autism spectrum disorder. Since then, scientists have identified around 250 genes associated with autism. The genetic contribution to anxiety disorders, on the other hand, has historically received less attention. Anxiety is less heritable than autism, but the genetic contribution for anxiety disorders that emerge in childhood may be higher than for anxiety disorders overall. While scientists estimate the heritability of anxiety disorders in general to be around 30% to 50%, some studies suggest higher heritability for certain childhood-onset anxiety presentations. “I saw firsthand how researchers in the field went about finding vulnerability genes for autism,” Fernandez says. “So, we’re using a very similar playbook for childhood anxiety.” “I saw firsthand how researchers in the field went about finding vulnerability genes for autism. So, we’re using a very similar playbook for childhood anxiety.” Thomas Fernandez, MD Associate Professor In the Child Study Center and in Psychiatry Now, Fernandez and Emily Olfson, MD, PhD, assistant professor in the Child Study Center, are studying children and their parents to identify genetic changes that are present in the child but not the parents, known as “de novo mutations.” “All of us have some de novo mutations—maybe about 50 to 100 sprinkled throughout the genome,” Olfson says. “But when they occur within the coding regions of genes, they can be really disruptive.” Previous research shows that people with autism have higher rates of damaging de novo mutations than the general population. In 2022, Olfson, Lebowitz, Silverman, and Fernandez published a study on 68 children and their families that found that children with anxiety had similarly high levels of these mutations. Studying de novo mutations can help point the researchers to where they should be looking for genes associated with anxiety. “The end game is using the genes to steer us toward the right part of biology that we can then target to come up with better treatments,” Fernandez says. Building on those findings, the team is now studying more families to better understand how these de novo mutations, along with other genetic and environmental factors, shape pediatric anxiety disorders. They recently received a National Institutes of Health grant to enroll 750 new families over the next five years. Olfson is the principal investigator, with co-investigators Lebowitz, Fernandez, Silverman, and Shuangge Steven Ma, PhD, department chair and professor of biostatistics at Yale School of Public Health. Neurodevelopment, Risk Genes, and Mental Health Conditions - The Olfson Lab Joel Gelernter, MD, Foundations Fund Professor of Psychiatry, is interested in how different anxiety disorders differ genomically. “We are studying social phobia, panic disorder, and generalized anxiety disorder, working to understand why people differ in their risk to these specific anxiety disorders and evaluating various risk factors,” he says. Gelernter was recently involved in one of the largest studies to date of the genomics underlying anxiety disorder. The study included around 122,000 people with anxiety disorders and around 730,000 without. It found that some genetic differences associated with anxiety were linked to signaling that helps reduce overactivity in the nervous system. Many anxiety medications available today work by targeting this process. “It’s nice when the biology that you get out of a large genome-wide study ratifies things that we already know because that can help increase confidence in further findings from the study,” Gelernter says. Uncovering the neurobiology of psychiatric disorders John Krystal, MD, Robert L. McNeil, Jr. Professor of Translational Research and chair of the Department of Psychiatry, is interested in the neurobiology of psychiatric disorders, including post-traumatic stress disorder (PTSD), of which anxiety is a major symptom. In the late 1980s, Krystal’s team discovered that the drug yohimbine activated symptoms in patients with PTSD. “This was the first time we could link a specific biological mechanism to the symptoms of PTSD,” Krystal says. At the time, he adds, this finding was highly controversial. “A lot of people felt that PTSD was a purely psychological syndrome that didn’t have an underlying biology.” Since then, Krystal has dived deep into understanding the neurobiology of PTSD to learn how to better treat it. His team is evaluating the use of ketamine and psychedelics. These would be among the first treatments to be developed specifically for PTSD. They may also be applicable for other disorders including anxiety disorders, Krystal adds. An important gap in PTSD treatment is the absence of biological tests that inform how to best help patients manage their PTSD symptoms. A doctor doesn’t diagnose cancer based on how they feel. Rather, they use tests of the biology of the cancer to determine the best course of treatment. “And we can’t do that in any psychiatric disorder other than Alzheimer’s disease,” Krystal says. “But now we are building a foundation for this approach to the treatment of anxiety disorders for the first time.” Source: Yale School of Medicine
At colleges, the AI boom means everyone wants to dabble in computer science
With no background in coding, Faith Maeba, a psychology major, was reluctant when her mother first suggested she enroll in classes on artificial intelligence. But the senior at Virginia Commonwealth…
What Holding Eye Contact While Someone Speaks Really Reveals About Your Psychology, According to Science
You are mid-conversation with a friend, nodding along, and suddenly you wonder: am I looking at them too much? Or not enough? Most of us treat eye contact like an automatic reflex – something we either do or don’t, without thinking twice. But researchers say the way you hold someone’s gaze while they speak is...
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
Mental healthcare: psychology clinic location improves access
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The $20 Billion Business Of Resort Anthropomorphism
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Political newcomers vie for Family Court bench
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US Stand Up for Science movement expands to Europe
A grassroots movement by scientists in the US pushing back against threats to academic freedom is setting up a Swiss outpost to take the movement global. Stand Up for Science started in February 2025 to protest against politically-motivated grant cancellations by the Trump administration. Since then, it has organised numerous rallies by scientists and turned into a broader campaigning organisation, supporting “pro-science” political candidates and attempting to impeach Robert F. Kennedy Jr, the health and human services secretary the group accuses of advancing “quack” science. Now, Stand Up for Science is establishing a Swiss office to take some of its campaigning beyond the US, and its leader is urging European academics to organise similar pro-science groups in case they face similar threats in Europe. There will likely be “spillover” to Europe from what the Trump administration is attempting in the US, said Colette Delawalla, chief executive of Stand Up for Science, who last month returned from a tour of Europe. “Are we going to see a Trump-style scientific [. . .] take over in the same way?” she asked.Delawalla, who is doing a PhD in clinical psychology, said she was driven to help found the organisation after the Trump administration started cancelling health research grants in politically taboo topics, such as transgender people, diversity and HIV, in early 2025. Since then, the administration has introduced several other measures that infringe academic and institutional autonomy.It threatened to cut Harvard University’s federal funding unless the university accepted a “critical mass” of new faculty and students to create “viewpoint diversity.” And this year, it proposed explosive new rules that would allow political appointees at research funders to screen grants to make sure they “advance the president's policy priorities.”US scientists have been at times stunned by the volume of announcements, and the country’s researchers were relatively unprepared. “We sit in front of the fire hose every day,” said Delawalla. For this reason, European scientists need to prepare now for similar assaults. “If you've got a little bit of extra time to start thinking through, and making those preparations and building community and solidarity,” then European researchers will “start five steps ahead of where we were.” She plans to return to Paris in September to share experiences with concerned French academics. Is Le Pen the same?During her European tour, Delawalla said that French academics were beginning to worry about a National Rally (RN) victory in presidential elections next year. She said there were “chilling similarities” between Trump and Marine Le Pen, the RN’s likely candidate. However, so far, the RN hasn’t proposed anything nearly as radical as the Trump administration has carried out. Its current manifesto is all but silent on university and research policy. Le Pen’s 2022 manifesto bemoaned a lack of French R&D spending, including in fundamental research, and promised to modernise labs and strip away grant bureaucracy. The party’s 2024 European election manifesto explicitly supported the Erasmus+ student exchange programme, scientific exchange and joint European technology projects. However, a Le Pen victory next year could see France drastically cut its contribution to the EU, which would hit the budget for science and innovation. Meanwhile, more restrictive immigration policies could hit university recruitment of faculty and students. Climate science denial?As heatwaves and wildfires have ravaged France, the RN has sought to distance itself from previous comments casting doubt on climate science.In the UK, the radical-right party Reform UK, now second in the polls, denied climate research in a draft of its 2024 election manifesto, but its leader, Nigel Farage, then appeared to quietly U-turn and said he was “not arguing the science.” By contrast, Trump has repeatedly and explicitly denied climate change science, in 2025 calling it “the greatest con job.” Like the RN, Reform UK has been light on research and university policy. However, it did say in its 2024 manifesto that universities should suffer “heavy financial penalties” for allowing “political bias or cancel culture” on campus, building on laws brought in by a previous Conservative government. Ahead of September state elections in Saxony-Anhalt in Germany, the poll-leading Alternative for Germany has proposed abolishing gender studies and postcolonial studies, and promised money for “critical” climate research and studies of Islam. Starts with rhetoricEven if European radical right parties aren’t currently planning the draconian policy measures of the Trump administration, Delawalla said that academics should not be complacent, and fight even small funding restrictions or anti-science talk from the start. “It starts off with sowing distrust about institutions,” she said. “It starts off with these small things, and then all of a sudden it's there.” There are other, more established science and university advocacy groups in the US aside from Stand Up for Science. But the group stands out because of Delawalla’s refusal to attempt to appear politically bipartisan or conciliatory. “I firmly believe that the US is experiencing fascism,” she said. “We’re not trying to win over the super Maga people,” she said, “and we never have been.” The lesson of the US is that even if universities or other institutions capitulate to government demands, this doesn’t save them from cuts and restrictions. “It doesn’t matter what people do,” she said. Global “pseudoscience”Another aim of Stand Up for Science’s push into Europe is to better coordinate a campaign to protect people in poorer countries from what the group describes as “pseudoscientific exploitation,” trials outside the US used to build a case against things like vaccines. Earlier this year, the group sent an investigator to Guinea-Bissau to investigate a controversial, Danish-run Hepatitis B vaccine project funded by the US Centers for Disease Control and Prevention.The study would have withheld a proven vaccine from newborns, Stand Up for Science argued in a briefing it presented to Congress, risking their health. Significantly, the research group based in Guinea-Bissau, known as Bandim, focuses on the “non-specific effects” of vaccines: impacts on health beyond preventing the target disease. Related articlesEuropean researchers sound the alarm that Trump rule changes will hit cooperationData corner: which fields of health science is the US curbing? The US ‘golden age’ science strategy: what Europeans need to know The suspicion is that the study was funded as part of an attempt to shop around for results that could help build a case against vaccines in the US, said Delawalla. “This is just code for vaccines cause autism,” she said.Bandim has put out a rebuttal of Stand Up for Science’s criticisms, arguing its work has uncovered a number of vaccine side effects, both positive and negative, which need to be taken into account in public health. However, Congressional Democrats took up the Stand Up for Science cause, and in February, Guinea-Bissau said it had permanently halted the study. WatchdogBut for Delawalla, this is not the end of the fight. Kennedy has made a number of health claims that scientists think lack evidence, such as the idea that seed oils cause inflammation, for example. Delawalla worries that more studies could be launched in poorer countries to fish around for evidence to support this agenda. Stand Up for Science is talking to African science organisations to create a kind of “watchdog” to scrutinise any further trials. “Outsourcing the investigation to some of the most vulnerable children in the world who are desperate [. . .] is fundamentally wrong,” she said.
The Sports Psychology Lessons Sunderland Can Learn From
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New Jersey behavioral health company acquires independent medical examination provider
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The Psychology of Tribalism Is Damaging Politics
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Real-time data provides nuanced look at likelihood of cannabis use
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Stony Brook University Professor Daniel Klein Receives a 2027 Lifetime Achievement Award from the Association for Psychological Science (APS)
STONY BROOK, NY—September 28, 2026—The State University of New York (SUNY) at Stony Brook (Stony Brook University) Distinguished Professor in the Department of Psychology Daniel Klein has been awarded a 2027 Association for Psychological Science (APS). “Mentor Award.” This award recognizes APS members who have significantly helped foster the careers of others, honoring those who
Eastlake science students make district history
Three Eastlake High School students made Sweetwater Union High School District history this year when they became the first students from the district to qualify for the International Science and Engineering Fair, an international competition that brings together some of the top high school researchers from around the world. Ronald Wyatt, Giles Del Priore and Ihan Sung advanced to the competition after successful runs at regional and state science fairs. Sung went a step further, placing fourth in the chemistry category at ISEF. The students were recognized on Aug. 10 during a Sweetwater Union High School District board meeting at the district office in Chula Vista.For Wyatt and Del Priore, recent Eastlake graduates, the journey began with a shared concern about dementia and the challenges faced by families caring for loved ones with memory impairment. Their engineering project, “Design and Evaluation of a Behaviorally Grounded Caregiver-Governed AI Companion for Individuals with Memory Impairment,” earned the Sweepstakes Award at the Sweetwater District STEM Fair and first place in its division at the Greater San Diego Science and Engineering Fair. The project explored whether Artificial Intelligence could provide companionship and support while helping reduce stress for people with dementia and their caregivers. “Our inspiration came from personal experience. Both of us have seen family members and loved ones affected by dementia, and we’ve witnessed how overwhelming the caregiving process can be,” Wyatt said. Del Priore said the students also wanted to address the high cost of third-party health care services while creating something that could potentially help their own families as well as people elsewhere. The students developed an AI system designed with safeguards intended to prevent misinformation reinforcement, emotional escalation and unsafe responses. In 240 controlled trials involving memory, identity, agitation and neutral scenarios, they said the system consistently prevented harmful incorrect reinforcement while using context-aware silence, de-escalation and caregiver verification. The project required the students to combine Artificial Intelligence, psychology, neuroscience and human-computer interaction. For Del Priore, one of the biggest technical challenges was getting the AI companion to communicate verbally with a patient. Hardware limitations required the students to collaborate with multiple Python libraries for speech-to-text and text-to-speech functions while keeping the cost of the companion low. “For us, the biggest challenge was translating complex behavioral and cognitive care principles into a functioning AI system,” Wyatt said.Qualifying for ISEF was a milestone that student expected. The international competition proved to be another milestone. “Competing at ISEF was an incredible experience and unlike anything we’ve ever done before,” Del Priore said. “Being surrounded by some of the most talented young researchers from around the world was both inspiring and motivating.” He said the experience stood out because of the emphasis on collaboration, innovation and scientific discovery. “The most memorable part was seeing how people from completely different backgrounds and disciplines approached solving real-world problems with creativity and passion,” he said. The students also credited teachers and mentors who supported their work. Del Priore said his sophomore-year AP Physics teacher, Dr. Price, was particularly influential. “Through all of my personal and academic struggles, Dr. Price always believed in me,” Del Priore said. “All of his faith in me really molded me into the person I am today and helped create my love for science even through tough times.” Wyatt is continuing his education at UC Santa Cruz, where he plans to study biomolecular engineering and bioinformatics, with an interest in research involving Artificial Intelligence, biology and health care. Del Priore plans to double major in chemistry and accounting. Sung, a rising Eastlake senior, qualified for ISEF after winning first place in the Engineering: Energy, Materials & Transport category at the Greater San Diego Science and Engineering Fair and first place in chemistry at the California Science and Engineering Fair. His project, “Renewable Ammonia Electrochemical Synthesis by Glow Discharge with an Iron-Based Catalyst,” involved a device he designed and engineered to produce renewable ammonia, with potential applications in fertilizer production and energy storage. Sung became interested in the project after considering the relationship between food insecurity and fertilizer costs. His system uses plasma to break apart nitrogen molecules so they can interact with hydrogen and form ammonia. At ISEF, Sung competed against more than 1,700 students from 65 countries and earned fourth place in chemistry. “I am proud to become one of te first students in the district to qualify for ISEF because this milestone can inspire others in the district to attain similar goals,” Sung said.
Health or Hoax?
Although GLP-1s may cultivate confidence and belonging among gay and bisexual men, they can also reinforce idealized body types that can be unhealthy and socially exclusionary.
Healing Thyself: Managing Moral Injury in Healthcare
One of the most challenging parts of working in medicine is maintaining your own emotional health. New research on moral distress and moral injury offers clues on how we can better support healthcare workers.
Only 50% of social science research can be replicated, study finds
But researcher says psychology publishing still improving.
The Beauty Of Settled Science
Commenters convinced me I made a subtle mis-step in my framing of Psychology Research Is Mostly Fine. My framing emphasized that social priming studies had failed to replicate, but that many other subfields of psychology hadn’t. This naturally led commenters to point to failed replications in other subfields. Although none of these were as bad as social priming, few or none were entirely problem-free. Instead of emphasizing the difference between social priming and other subfields, I should have emphasized the difference between settled science and novel research. Here are some of my favorite psychology findings: The brain is sculpted by reinforcement learning, and a key driver of this learning is a prediction-error-based algorithm located in the nucleus accumbens and implemented through dopamine. Psychedelic drugs exert their effects through 5-HT2A receptors, pointing to a role for these receptors in some sort of construct like the balance between priors and new evidence. Certain cognitive functions are localized to certain brain areas (for example, impulse control to the frontal lobes; linguistic structure to Broca’s area, linguistic meaning to Wernicke’s area. But injure one of these areas, or render a certain function useless (eg a blind person having no more use for their visual cortex), and these mappings can gradually shift - suggesting that neurons are general-purpose compute whose specialization is a contingent fact about convenience and efficiency rather than a necessity. Most personality traits and general capabilities are about 50% genetic and 50% random, with little role for family environment or childhood history, with a few notable exceptions like partisan preference. Recent research complicates this story, but the further you go from this basic picture, the gnarlier the chains of indirect causation you require. Neurons fire together in “brain waves”, whose exact frequency corresponds with the character of consciousness; These divide neurons into natural subpopulations and linked graphs. The gamma rhythm corresponds surprisingly well to items in conscious awareness. GABA receptors seem to be involved in something like relaxation. By hitting different GABA receptors in different ways, you can modulate the exact type of relaxation you produce. Hitting GABA-A directly is too powerful and can cause dangerous levels of sedation, but allosteric modulation of GABA is an incredibly fruitful strategy that underlies drugs from benzos to barbituates to alcohol. If you know your GABA-A subunits, you can target specific subtypes of relaxation; for example, Ambien hits GABA-A1 and induces sleep. Memory divides somewhat fuzzily into bins of immediate-sensory, short-term, and long-term, with separate retrieval and storage functions, and separate systems for declarative vs. procedural learning. These can be harmed selectively, usually by hippocampal injury, so that some patients can remember their life stories but not form new long-term memories, or learn new skills like bike-riding but not new facts. The exact substrate of memory is unclear but seems to involve new synaptic connections between neurons in at least some way. The ability of modern psychology and psychiatry to treat mental illness is real but limited. SSRIs work for half or slightly fewer than half of patients; antipsychotics work with extreme side effects; benzodiazpines work but produce addiction and tolerance in many (not all) people. Most supplements are stuck in Poor Quality Study Replication Crisis Hell, but melatonin and l-theanine stand out as especially promising. Psychotherapy works with moderate effect size, but (with a few exceptions) seems to be more about the relationship with the provider than the details of the therapy itself. Mental hospitalization can sometimes defuse immediate crises but work less well than mental hospitals would like, with some studies showing overall negative effects. Schizophrenia is mostly genetic, but risk also increases with prenatal infection (especially rubella) and obstetric complications; there is suggestive evidence for roles of social stress and drug use (with psychedelics and marijuana making things worse, and nicotine if anything making things better). Bipolar and schizophrenia are so closely linked on a pathophysiological level that it seems like they might be the same disease; on the clinical level, they do seem to follow two separate courses/prognoses but can sometimes surprise clinicians by eg someone who seemed condemned to permanent schizophrenia unexpectedly recovering. The brain’s native reinforcement learning algorithms cash out in the phenomena of classical and operant conditioning; different reinforcement schedules reinforce at different levels, which can be exploited by bad actors to make especially compelling products (eg slot machines). None of these are immune to doubt. A few are speculative; one or two are genuinely unorthodox. But they’re all a step above one p = 0.049 paper that might not replicate. If they get overturned, they’ll be overturned by the same sort of genuine scientific shift that replaced Ptolemy with Copernicus or Lamarck with Darwin, not some sort of sordid discovery about someone entering random numbers into a spreadsheet. In 2008, Eliezer Yudkowsky wrote about The Beauty Of Settled Science: If you only care about scientific issues that are controversial, you will end up with a head stuffed full of garbage. The media thinks that only the cutting edge of science is worth reporting on. How often do you see headlines like “General Relativity still governing planetary orbits” or “Phlogiston theory remains false”? So, by the time anything is solid science, it is no longer a breaking headline. “Newsworthy” science is often based on the thinnest of evidence and wrong half the time—if it were not on the uttermost fringes of the scientific frontier, it would not be breaking news. Scientific controversies are problems so difficult that even people who’ve spent years mastering the field can still fool themselves. That’s what makes for the heated arguments that attract all the media attention. Worse, if you aren’t in the field and part of the game, controversies aren’t even fun. Don’t be embarrassed to read elementary science textbooks, either. If you want to pretend to be sophisticated, go find a play to sneer at. If you just want to have fun, remember that simplicity is at the core of scientific beauty [...] A steady diet of science news is bad for you: You are what you eat, and if you eat only science reporting on fluid situations, without a solid textbook now and then, your brain will turn to liquid. Psychology isn’t centrally the new paper in Annals Of Recently-Breaking News saying that an n=5 study showing that large portion sizes increase support for terrorism. Psychology is centrally ideas like brain waves, GABA receptors, reinforcement learning, twin studies, and connectionism. People who think differently are worrying too much about BREAKING NEWS!!!, and should stop. The key distinction isn’t “recent research in social psychology” vs. “recent research in cognitive/bio/behavioral psychology”, as my essay last week unfortunately implied. It’s recent research in general vs. the deposit of settled science, battle-tested hypotheses, and carefully-earmarked speculation. And part of the reason social priming in particular was such a disaster was that it defied that heuristic, building itself up over hundreds of studies until it approached or even entered the pantheon of settled science - before collapsing (5-HTTLPR was also sort of like this). This isn’t a claim that settled science is always right - Freud was “settled science” for a long time - just that there’s an intuitive distinction between the level of credence you should have in the existence of power posing vs. the existence of Broca’s Area. (I compounded this error by calling the last post “Psychology Research Is Mostly Fine”, which suggested I was talking about the new research rather than the settled science. I actually meant to distinguish between research-psychology-the-field vs. clinical-psychology-aka-therapy, but this framing unintentionally pushed against the point I wanted to make) Some commenters on the previous article understood this point, but challenged its weight. It’s very cool, they said, to know how many neurons are in which brain lobe, but the main way that Psychology affected their lives was through bad clickbait studies used to buttress dumb policies; some p = 0.049 study says that exposure to microaggressions makes minorities’ brains shrivel into raisins, and now their company has to implement punitive DEI or be sued for hazardous work conditions. I won’t dispute this as an accurate description of how the sausage gets made, but it’s worth examining the trains of thought that connect this observation to a campaign against psychology in general: The dumb woke psychology was wrong and bad, and I don’t have good heuristics for distinguishing dumb woke psychology from other psychology, so I’m going to assume it’s all wrong and bad. The dumb woke psychology was wrong and bad; it seems useful to punish/discredit psychology as a whole to assist my campaign against it, so for propaganda purposes I will try to discredit psychology as a whole. To people in the first camp, my response is: come on, your heuristics aren’t that bad. “Microaggressions makes minorities’ brains shrivel up like raisins” is in the woke category; “the hippocampal theta rhythm seems to be associated with both memory and pathfinding, suggesting an unexpected yet surprisingly compelling relationship between the two” is in the not-woke category, don’t play dumb here. To people in the second camp, my response is: deliberately exaggerated propaganda campaigns are bad and this is a confession, not an excuse. Inability to view science through anything but a political lens was what got us into this problem; doubling down on it is a temporary solution but a recipe for permanent disaster. If you pronounce entire fields of science to be acceptable collateral damage in your campaign against bad political actors, you will alienate not just scientists but patients, clinicians, and general lovers of truth. Instead, you can say the thing you mean - that woke partisans shouldn’t try to occupy and exploit the otherwise-noble science of psychology for their own political gain - and wage the same campaign with a halo rather than a comic-book-villain goatee. From the font of oracular wisdom that is Weird Sun Twitter: [ Vessel Of Spirit@VesselOfSpirit i love you all conditionally but i love the good part of you unconditionally. even if it becomes a very small part 2:11 AM · Jan 22, 2015 1 Reply · 5 Reposts · 29 Likes ](https://x.com/VesselOfSpirit/status/558084551772471298) This is how I feel about psychology1, too, but with a touch more optimism. The good part of psychology is enormous, a hoard of endless treasures. You just have to look past the headlines! 1 To play devil’s advocate - should one always be so magnamious? Astrology? Phrenology? These seem different in that their entire orientation was flawed from the start; they didn’t simply fail to find the correct constellation-personality connections, the whole project of searching for connections between constellations and personality was doomed from the start. More difficult might be asking the same question about education research, which is notoriously bad. I don’t know enough about education research to know if there’s some settled science of correct and enlightening results lurking in the background beyond the day-to-day froth of poorly-conducted and politically-motivated studies. I think if it’s 90% bad, 10% good, it’s correct to call it bad as a compact way of communicating a useful truth; I think psychology is better than that, but admit it’s a tough judgment call.
Smiles, slogans and social signals: The hidden psychology of politics
Carl Senior explores the psychological factors that can shape political decision-making
AI Can Build the Science, But Not the Scientist
Science doesn't just produce discoveries, it produces the minds capable of making them.
Science Confirms 'Leisure Guilt' Is Real—and You're Likely Wasting Hours on It
A new study published in Personality and Social Psychology Bulletin reveals that Americans spend a full 14 percent of their downtime worrying about productivity instead of resting.
Surprising Mental Health Effects of GLP-1 Weight Loss Drugs
GLP-1 medications may be used to treat select psychiatric disorders.
AI Reinforces Existing Stereotypes in Healthcare
AI does not impartially observe reality—it mirrors human stereotypes. Operating at scale, it reinforces inequalities.
Peer Support May Be the Answer to the Mental Health Crisis
Peer support is the sleeping giant that may help us overcome the social and mental health crises we currently face.
Why Science Is Taking UFOs Seriously, and You Should, Too
Why are scientists taking unidentified aerial phenomena seriously? Because every answer matters for science, national security, and the people whose lives are changed by these experiences.
What Does Science Say When “the Science” Refuses to Speak?
The data from the COVID-19 pandemic must be objectively reviewed and defended. Invoking science means accepting responsibility for outcomes and interpretations of the results.
How Science and Music Blurred Politics One Day Back Home
What to expect when you talk and play music to people you grew up with but have not seen for decades and have different political views from you. Turns out it was fabulous.
The science of friendship and loneliness
Assistant professor of psychology Jessica Ayers’s new research challenges assumptions about the kind of friendships we need
What Shapes Independent Political Identity?
The increase of independent political identities has significant implications for the basic functioning of American democracy.
Daniel Klein Receives 2027 APS Mentor Award for Psychology
Stony Brook University Distinguished Professor Daniel Klein has been awarded a 2027 Association for Psychological Science (APS) Mentor Award.
Retired Missouri S&T faculty members contribute $1 million to establish graduate fellowship in psychology
Retired Missouri S&T faculty members Dr. Robert L. Montgomery and Dr. Frances M. “Dee” Haemmerlie Montgomery have donated $1 million to establish a graduate fellowship in the department where they mentored hundreds of students throughout their careers. The Robert L. Montgomery and Frances M. Haemmerlie Graduate Fellowship in Psychology will support graduate student research in...Continue Reading Retired Missouri S&T faculty members contribute $1 million to establish graduate fellowship in psychology
The surprising psychology of morbid curiosity
US defence secretary Pete Hegseth’s plan to livestream the execution of Nidal Malik Hasan has incurred condemnation from human rights groups and politicians on all sides. But according to Coltan Scrivner, an author and psychologist at Arizona State University and expert on morbid curiosity, people are still likely to watch in large numbers. He explains why we are drawn to dark and disturbing content, and Madeleine Finlay tells Ian Sample how consuming this kind of material can harm observers’ mental health
Public financing of California's electoral campaigns could curb power of money in politics
California's political system makes it difficult to get elected without personal wealth or wealthy donors, a psychology professor argues.