Strength in Numbers: Using Data Science to Decrease School Violence
“We are insight pattern hunters asking leading data technology companies and volunteers to join us at the table to stop this national tragedy,” said Privateer.
ATHENA: A database that identifies currently unrecognized school violence patterns to help educators understand more about the nature and causes of violence and plan for new ways of reducing it before events happen.
Collect existential data ignored by typical government school violence trend data databases.
Harvest data significance into an easy to use Alteryx + Tableau interface.
Make it available to schools, researchers, health professionals, state education departments, local school boards and local, state, and federal security agencies.
LANTERN: A chatbot app that identifies currently unrecognized correlations between a child’s behaviors at home and school, and their aggregation as a factor in prompting school violence. This helps parents and educators understand more about the nature and causes of school violence and plan for new ways of reducing it before events happen. The app is still only a prototype but is expected to be released by December 2020 at no cost to the public.
Create a behavioral analytics app correlating a child’s observed behaviors with statistically significant form of violence that show clear moderate to high associations.
Create an intervention success app that identifies those intervention programs having the best results for certain behavioral strings needing support.
Make an easy-to-use search app available to parents, teachers, school officials, school health professionals, and safety resource personnel that help create communities of support for children needing emotional care.
“We believe that advances in the data sciences can provide new ways of reducing school violence, especially those like AI, Natural Language, Deep Learning, and interactive data visualization tools,” said Privateer.