Get ready for another exciting year of NNEDLearn! The Substance Abuse and Mental Health Services Administration (SAMHSA) invites NNED members to participate in the NNED’s eighth annual training opportunity, NNEDLearn 2018.
NNEDLearn is a unique opportunity to build skills in evidence-supported and culturally appropriate clinical, consumer, and organizational practices. The NNEDLearn training model supports the implementation of new practices and programs in communities by training teams through in-person instruction and “virtual” communities of practice. Five training tracks will be offered this year.
The on-site portion of the training will occur April 15-18, 2018 at Tamaya Hyatt in Santa Ana Pueblo, NM. Recognizing the need for continued capacity building and practitioner development in our communities, SAMHSA will cover the costs of training, travel, and lodging for the on-site training for NNEDLearn 2018 participants.
Expected NNED Member Commitment
Our experience shows that the commitment from organizational leadership maximizes the benefits to participants, agencies, communities, and to SAMHSA. Applicants will be asked to verify support from agency leadership or supervisors to commit to full and active participation in all 4 phases of the NNEDLearn 2018 training model.
Applications are now open! Limited Enrollment. The submission deadline has been extended to December 22, 2017 at 5:00 pm PST.
Prior to Applying
- Visit the NNEDLearn 2018 page for an overview of the NNEDLearn training model, the 5 training tracks, and the requirements to participate.
- Read the NNEDLearn 2018 Pre-application Decision Tree and the Implementation Readiness Checklist on the training track webpage to determine if a particular practice might meet the needs of your organization.
How to Apply
Applications for each training track can be accessed on the NNEDLearn page. Organizations may only apply to one track. An organizational application should be completed by an identified Team Leader that includes the names of each proposed team member. Teams should consist of 3-5 people.
Each proposed team member must be