Humans change their own behavior when training AI
A new cross-disciplinary study by WashU researchers has uncovered an unexpected psychological phenomenon at the intersection of human behavior and artificial intelligence.
$3M grant funds training to harness power of AI for social, environmental challenges
The National Science Foundation (NSF) is investing $3 million over the next five years in the Artificial Intelligence (AI) Advancements and Convergence in Computational, Environmental and Social Sciences (AI-ACCESS) program at Washington University in St. Louis.
TRIADS-funded group studies how AI changes human behavior
WashU faculty Chien-Ju Ho and Wouter Kool are fascinated by the interplay between humans and the AI algorithms that our decisions help to train. They’ve published their first study exploring how people modify their behavior when knowingly interacting with artificial intelligence.
Bias from pulse oximeters remains even if corrected by race, study finds
Neal Patwari’s lab is developing better algorithms to reduce the bias
AI assistance in pretrial scheduling could provide justice for all
William Yeoh and collaborators at Syracuse University will use AI to develop fair, equitable and efficient scheduling for court systems
Data from wearables could be a boon to mental health diagnosis
Washington University team uses Fitbit data, deep learning to detect depression, anxiety
TRIADS announces recipients of seed grant funding
Seed grants from the Transdisciplinary Institute in Applied Data Sciences (TRIADS) will support 10 new projects helmed by Washington University faculty members, harnessing cutting-edge tools to address pressing societal questions.
Tracking the populist tsunami
By analyzing social media content generated across the globe, political scientists seek to understand the current wave of populist rhetoric flooding the internet and its threats to democracies.
Commonly used police diversity training unlikely to change officers’ behavior, study finds
Tyre Nichols, a 29-year-old Black man who died after a confrontation with police during a traffic stop earlier this month in Memphis, has become the latest face in a racial justice and police reform movement fueled by a string of similar cases in which Black men have died from injuries sustained while being taken into custody.
Doctoral student named to inaugural cohort of CRE2 graduate fellows
Ivy Smith, a doctoral student in the Division of Computational & Data Science, will receive funding through the Center for the Study of Race, Ethnicity & Equity (CRE2) as part of a new interdisciplinary fellowship
How the Omicron response can prepare us for the next wave
The Omicron wave of SARS-CoV-2 in December 2021-February 2022 caused over 30 million new cases and hundreds of thousands of deaths, with a daily death toll greater than total deaths caused by Hurricane Katrina—many more than the Delta wave. This burden fell unequally on society, with Americans over 65 representing almost 80% of the deaths and significant racial disparities.
PhD Program Linking Data, Social Science Sees Early Success
The Brown School’s cross-campus collaboration for a unique PhD program combining computers, data and social sciences has existed for just a few years, but is already showing great promise in attracting top-tier students focused on innovative solutions to society’s thorniest problems.
Team wins New Horizons Award at ACM
Alex DiChristofano was part of a team that won the New Horizons Award at the Association for Computing Machinery (ACM ) conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’21). The innovative project built a web platform to increase online support for Black-owned businesses.
A first look at McKelvey Hall
It’s the final piece of the East End Transformation at Washington University in St. Louis, and new renderings of James M. McKelvey, Sr. Hall demonstrate how the building will incorporate seamlessly into the project.
Making sense, pictures of medical data
Improved visual communication with patients could lead to more informed health-care choices
Machine learning used for helping farmers select optimal products suited for their operation
Roman Garnett is working with The Climate Corporation to apply active machine learning to help determine which hybrids will give the highest yield.
Ross Hammond, Expert on Tackling Complex Social Problems, Joins Brown School Faculty
Ross A. Hammond, one of the nation’s foremost experts in complex systems science modeling, has accepted an appointment as an associate professor at the Brown School, Washington University in St. Louis.
Building the backbone of a smarter smart home
The right algorithms can make smart homes smarter, more efficient, and more communicative
High Schoolers Explore Educational Equity Through System Dynamics
This summer, with the help of the Brown School’s Social System Design Lab (SSDL), St. Louis-area high schoolers gathered to explore the topics of educational equity using system dynamics.
Barch receives $3.5 million for research on brain, mental illness
Mental health researcher Deanna Barch, of Washington University in St. Louis, has been awarded a $3.5 million MERIT award from the National Institute of Mental Health, part of the National Institutes of Health (NIH).
Can a Twitter-Based Reporting Tool Improve Foodborne Illness Tracking?
Foodborne illness is a serious and preventable public health problem, affecting one in six Americans and costing an estimated $50 billion annually. As local health departments adopt new tools that monitor Twitter for tweets about food poisoning, a study from Washington University in St. Louis is the first to examine practitioner perceptions of this technology.
Machine Learning for Credit Risk
Associate Professor Sanmay Das discusses risk prediction and management in the financial industries on the latest episode of TechEmergence’s AI in Industry podcast.
Why we mix up movies and real life
We know movies aren’t real but we buy into them more than we realise, a US neuroscientist has concluded, after studying how we observe the world around us.
Betsy Sinclair won the Society for Political Methodology Emerging Scholar Award
Betsy Sinclair’s work explores the influence of social networks, technology and information on political behavior. In particular, her work on the social foundations of political behavior breaks new ground in understanding how social context and political networks shape individual political choices.
Can slower financial traders find a haven in a world of high-speed algorithms?
It sounds like a scene from “Jurassic World”: fast, agile predators pursue their slower, less nimble prey, as the latter flee for safer pastures. Yet this ecology framework turns out to be an apt analogy for today’s financial markets, in which ultra-fast traders vie for profits against less speedy counterparts.