The Communimetrics Data Group is a quarterly meeting hosted by Community Data Roundtable. It is meant to build communication amongst those who work on the “back end” of TCOM projects.
The quarterly phone meetings provide a venue for those who work with CANS, ANSA, and FAST tools and data to learn about what others are doing in the field, and it allows opportunity for feedback and discussion. Each session is focused on one or two topics presented by different experts and practitioners in the field.
The spirit of the group is one of openness and sharing. This is not a place where people need to share finished work that is ready for publication, or to go live in some system. Instead, it is a place where people are invited to be creative, share open questions, and get feedback on hunches and ideas. We hope that such an environment will encourage creativity and robust growth for Communimetric science throughout the social services and scientific field.
To support a community of professionals and scholars doing work in communimetrics. This is an opportunity to:
- See & share
- Identify best practices for data management
- Learn about technology options for warehousing, analytics, ETL, data entry, etc.
- Discuss emergent issues in communimetric data
- Collaborate on communimetric data problems
Dan Warner, Ph.D., Executive Director of Community Data Roundtable
2020 Schedule (2020 Communimetrics Data Group Flyer)
All quarterly meetings are held 12:00pm – 1:00pm ET.
- Thursday, January 23, 2020 (special time at 3:00pm ET!)
- Thursday, April 23, 2020
- Thursday, July 23, 2020
- Thursday, October 22, 2020
April 23rd Meeting Topic:
Join us on April 23rd 12:00pm – 1:00pm EST. This presentation will feature the use of machine learning technology to sift through large reams of empirical communimetric data from a home-grown Pennsylvania “wrap-around” program (also known as Behavioral Health Rehabilitation Services (BHRS)) to identify unique communimetric profiles of those who did well, or did poorly, in the program. We then analyzed the impact that using these profiles to sort people in and out of the BHRS program would have had on its overall outcomes profile.
Presenting on the mechanics of the machine learning approach is Ryan Torrie, whose day job is working in finance, but who has been working with Community Data Roundtable for years, finding ways to optimize a unique machine learning approach to communimetric data. Dan Warner, Founder & Executive Director of Community Data Roundtable, will also present. Dr. Warner will give a careful review of the clinical profiles that the machine learning approach discovered, in order to discuss why we should trust the insights of this approach, and the value of the contributions these machine learning models can have on referral decision-making in the real world.
Sign up below to register for the Communimetics Data Group. To view the past recordings click here: