Practice + Preparedness with Nattie Trogdon and Hollis Bartlett, freeskewl

Date

May 13 2020

Time

EDT
1:00 pm

Labels

Zoom

Cost

If you have the means, please donate anything ($1-25 recommended)
DETAILS:

Practice + Preparedness with Nattie Trogdon and Hollis Bartlett on Zoom (Zoom link and password in @freeskewl bio)

Practice + Preparedness is a highly physical movement gathering – ie DANCE. We will sweat, we will condition, we will be expulsive and explosive, subtle and sensitive. There will be technical exercises, improvisation scores, anatomical functionality, and phrasework. We’re asking what does embodied practice look like in this virtual space – in our confined spaces? How can we continue to move fully and deliciously in our current parameters? We will explore all of the nuance within the body (our bodies) and lean deeply into sensation. We will most importantly hold space for ourselves and others – to check in on each other and attend to our deeply empathetic and resilient bodies, so we can continue to dance – to practice.

Hollis and Nattie are makers, performers, teachers, and partners. Their collaborative practice stems from a fascination with the form and function of the body – researching both the anatomical and fantastical. Currently residing in Brooklyn, their work has been presented at venues across New York and New England. As educators they co-facilitate open classes and workshops throughout the city and at various universities. Hollis has danced with Doug Varone since 2011 and Nattie is a freelance artist having performed most recently with Doug Varone, Keith Johnson, David Dorfman, and Peter DiMuro. They are graduates of NYU Tisch and SUNY Purchase respectively, receiving their BFAs in dance performance. Photo credit: Alice Chacon Photography.

Payment is not required for class but if you have the means, please send a donation of ANY amount $1-25 directly to these working artists.


Class information is gathered through community submissions. Dancing Alone Together takes no responsibility for class quality or errors in event data.