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ART-TRAIN INDIVIDUAL ARTIST TRAINING

November 15, 2022 @ 1:00 pm - 4:00 pm

Event Details

The free Art-Train Individual Artist Training is for artists who are interested in building on their existing skills to collaborate in and with their communities through their local agencies, non-profits, and arts councils. Artists will deepen practices around creative problem solving, equitable community engagement, and creating arts-based strategies to address recovery efforts.

After taking a synchronous virtual training, artists receive one year of ongoing virtual support through an online resource library and optional bi-weekly group coaching rooms with Art-Train staff, experts and an expanding network of peers (every other Thursday).

The goal of this training is to help artists identify how they can contribute to equitable recovery & rebuilding by a) understanding and advocating for local artists’ role in community and economic development, and b) by building their skills in equitable collaboration.

We will share ways to engage and influence the agencies and organizations that are eligible to receive and deploy American Rescue Plan block grants (allocated to every City, County, State and Tribal Territory in the US) to create programming that engages local artists in recovery.

 

Additional Information

Training technology requirements

Trainings require stable internet connection as they will take place virtually over zoom. Registrants will be invited to attend with cameras on throughout and ideally have a microphone. Out of respect for the experience of all registrations, we request that participants commit to the full 3-hour training.

To know more, click here.

 

Special Instructions

Please click ” Reserve Ticket” above to register for this online event.

Fee: No Cost.

Online Platform: Meetings are designed to be a collaborative event with all participants being able to turn on their video and audio, and see who else is in attendance. This session will not be recorded. This event will be captioned using AI generated live transcription.