Eight interdisciplinary teams, ten weeks: Meet the Digital Transformation Summer Corps projects
Starting May 27, the Digital Transformation Summer Corps is bringing together students and faculty from across WashU to take on eight ambitious projects aimed at advancing research, improving lives, and accelerating digital innovation.
From here to next (Links to an external site)
WashU Magazine checks in with Provost Beverly Wendland two-plus years after launching “Here and Next,” the bold, ambitious strategic plan that’s changing WashU in so many exciting ways.
Researchers harness AI to study family involvement with child protection systems
A research team at WashU supported by a Here and Next seed grant is using AI to study the multifaceted dynamics of families involved in child protection systems.
Introducing the Digital Transformation Summer Corps
This summer, WashU’s Digital Intelligence & Innovation (DI2) Accelerator is launching the Digital Transformation Summer Corps, a new initiative that brings together talented students with software development and data science skills to collaborate with faculty on cutting-edge research projects.
‘Here and Next’ seed grants awarded (Links to an external site)
The winning research teams are interdisciplinary and focus on five key elements of the university’s strategic plan, including digital transformation.
Winners announced: Accelerator Award for Open Educational Resources (Links to an external site)
WashU Libraries and the Digital Intelligence & Innovation Accelerator announce the awardees for the inaugural Accelerator Award for OERs.
Featured research & stories
Eating disorder chat tool could improve access to care (Links to an external site)
Fitzsimmons-Craft and colleagues, including Denise Wilfley, a professor of psychiatry at WashU Medicine, have been developing a range of digital cognitive-behavioral therapy-based interventions for eating disorders.
ChatGPT can level the playing field for retail investors (Links to an external site)
Across industries, generative AI has unlocked powerful new capabilities to wider groups of users.
Machine learning could help predict adherence to HIV treatment (Links to an external site)
Graduate student Claire Najjuuko has worked to develop a machine-learning model to predict which adolescents with HIV would be less likely to adhere to antiretroviral therapy.
Multimodal AI tool supports study of ecosystems (Links to an external site)
Ever seen an image of an animal and wondered, “What is that?” TaxaBind, a new tool developed by computer scientists in the McKelvey School of Engineering at Washington University in St. Louis, can sate that curiosity and more.