What is the VELA project?
VELA [vay-luh or vee-luh]
The VELA (Visualizing Equity in Landscape Architecture) project is a women-led research collaborative lead by TJ Marston and Samantha Solano. We are obsessed with data and making it accessible through powerful graphics and stories. The VELA project emerged out of aligned research agendas that aimed to reveal various gender narratives in the practice of landscape architecture. This initiative is just beginning—with aspirations to expand into visualizing several other important narratives about equity in landscape architecture. |
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What is our VISION?The purpose of the VELA project is to instigate collaboration, conversation, and most importantly, ACTION! We believe that through presenting evidence of the experienced collective knowns about equity, that we can formulate agendas that will enact change.
We are currently collecting data across multiple narratives, but need support to “fill in” the empty cells in our spreadsheets. We hope to complete a comprehensive story that connects the expansive disparate data concerning equity in landscape architecture that is not only quantitative but incorporates personal experiences of representation. |
VISUALIZING the data.
DATA COLLECTION//
This is an ongoing endeavor that is not straightforward, nor easy. We have scoured lots of websites, databases, and non-digital data sources to piece together a more complete version of the equity story.
MAPPING//
We decided that spatializing the data presents a unique lens for which to interface with the data. Through the various scales (nation, state, city) of representation, we can locate several gaps throughout the collective results.
This is an ongoing endeavor that is not straightforward, nor easy. We have scoured lots of websites, databases, and non-digital data sources to piece together a more complete version of the equity story.
MAPPING//
We decided that spatializing the data presents a unique lens for which to interface with the data. Through the various scales (nation, state, city) of representation, we can locate several gaps throughout the collective results.