Information, Child Mental Health, and Society

Project Summary

Imagine a world where we understand how to detect mental health and developmental problems in early childhood so that we can intervene early in life and prevent future suffering and impairment. This is a challenge that can only be addressed by an interdisciplinary team of computational people with child psychiatrists and neuroscientists who can integrate and mine knowledge from cross-cultural and global data.

Themes and Categories
Child Mental Health
Year

With autism, anxiety, and other disorders on the rise, it is imperative that children be diagnosed and treated as early as possible. We are working on making diagnosis easier, cheaper, and more accurate. Our aim is to make diagnostic tools accessible to the general population, empowering children and caregivers.

Project Outcomes

The “Information, Child Mental Health, and Society” project led by a Duke Bass Connections team concluded in June 2015.

Learn More

Screening for Autism: There's an App for That

Duke Researchers Developing App to Screen for Autism

Putting Big Data to Work in Autism Diagnosis

Apple video featuring the project

Related People

Related News

The Innovators
Monday, February 22, 2016
Duke Today features Guillermo Sapiro and the team's work on the "Autism & Beyond" app that resul ...
Autism Group Receives Duke Teamwork Award
Wednesday, November 4, 2015
Our autism app received more praise—this time for the collaborative effort that made it happen. Ea ...
Duke Launches Autism Research App with Global Reach
Thursday, October 15, 2015
A team of researchers and software developers from Duke University and the Duke Medical Center—co- ...

Related Projects

Redistricting School Zones in Durham County

Stats/Sociology major Mitchelle Mojekwu joined Neuroscience majors Kassie Hamilton and Zineb Jaidi in a ten-week exploration of data relevant to an upcoming public school zone redistricting in Durham County. Using information acquired from the General Social Survey and the US Census, the team applied modern mathematical and statistical methods for generating proposed redistricting plans, with the aim of providing decision-makers with information they can use to produce school districts that are equitable and reflective of the Durham County student population.

View the team's project poster here

Watch the team's final presentation on Zoom:

 

Faculty Lead: Greg Herschlag

Project Manager: Bernard Coles

 

Data Visualization for Family Health

Shannon Houser (Stats/BioChem), Junbo Guan (MIDS), and Gaurav Sirdeshmukh (Stats) spent ten weeks exploring data concerning child and family health in Yolo County, CA. Using R Shiny, the team produced an interactive data dashboard that enables Yolo County residents to find healthcare and childcare providers, food resources, and transportation information.

View the team's project poster here

Watch the team's final presentation on Zoom:

 

Project Lead: Leigh Ann Simmons (UC Davis)

Visualizing Durham Public School Communities

Patience Jones (NCCU, Psychology and Elementary Education) joined Duke students Allyson Ashekun (PubPol), Drew Greene (PubPol), and Rhea Tejwani (CS/Econ) in a ten-week curation of data meant to assist decision-makers within Durham Public Schools. Using data from the Durham Compass and the NC School Report Card among many other sources, the team produced an interactive R Shiny dashboard that permits exploration of school statistical and geospatial data. This was a continuation of a joint Duke-NCCU Bass Connections project (https://bassconnections.duke.edu/about/news/how-duke-and-nc-central-university-are-inthistogether-support-durham-schools).

 

View the team's poster here

Watch the team's final presentation on Zoom:

 

Project Lead: Alec Greenwald

Project Manager: Nicolas Restrepo Ochoa

See all Research