01
Unfolding Aliveness
2024
Unfolding Aliveness is an educational-ecological-artistic-space, studio, and practice which attends to and creates with multispecies world/s.
Founded by Matthew Bejtlich and Charlotte Hankin, it is our response to an increasingly ravaged planet, one marked by the epoch ‘Anthropocene’; a planetary boundary marked by human in/action. Charlotte and Matthew feel concern for the future/s of all life on this planet and seek out hope-full, generative and imaginative responses to attend-to, heal, provoke, agitate, conjure up alternative ways of living (and dying) together.
︎︎︎Website
︎Participatory Design, Storytelling, Sound Design, Visual Design, Environmental Education
Unfolding Aliveness
2024
Unfolding Aliveness is an educational-ecological-artistic-space, studio, and practice which attends to and creates with multispecies world/s.
Founded by Matthew Bejtlich and Charlotte Hankin, it is our response to an increasingly ravaged planet, one marked by the epoch ‘Anthropocene’; a planetary boundary marked by human in/action. Charlotte and Matthew feel concern for the future/s of all life on this planet and seek out hope-full, generative and imaginative responses to attend-to, heal, provoke, agitate, conjure up alternative ways of living (and dying) together.
︎︎︎Website
︎Participatory Design, Storytelling, Sound Design, Visual Design, Environmental Education
02
Open Articulations
MFA Thesis
Rhode Island School of Design
Open Articulations proposes new strategies for mapping, archiving, and understanding territories through a practice focused on mindful presence, play, and physical immersion. In making participatory archives of our experiences, it opens a collective space for multiple voices to be heard, allowing new entrypoints into a territory, and offering new ways of understanding a place, each other, and ourselves.
︎︎︎Digital Version (PDF)
︎Participatory Design, Regenerative Design, Systems Thinking, Unsmoothing
Open Articulations
MFA Thesis
Rhode Island School of Design
Open Articulations proposes new strategies for mapping, archiving, and understanding territories through a practice focused on mindful presence, play, and physical immersion. In making participatory archives of our experiences, it opens a collective space for multiple voices to be heard, allowing new entrypoints into a territory, and offering new ways of understanding a place, each other, and ourselves.
︎︎︎Digital Version (PDF)
︎Participatory Design, Regenerative Design, Systems Thinking, Unsmoothing
03
Kinesthetic
Rhode Island School of Design
︎Book Design, Photography
Kinesthetic
Rhode Island School of Design
︎Book Design, Photography
04
Data-driven seed sharing
SeedLinked
How can we unflatten, juxtapose, and reveal the multiple stakeholder perspectives in the agri-food supply chain to offer a more authentic experience?
︎︎︎Digital Version (PDF)
︎Data Science, Food Systems, Innovation Design
Data-driven seed sharing
SeedLinked
How can we unflatten, juxtapose, and reveal the multiple stakeholder perspectives in the agri-food supply chain to offer a more authentic experience?
︎︎︎Digital Version (PDF)
︎Data Science, Food Systems, Innovation Design
05
Blossoming Fashion Conversation
Exhibition at Somerset House (London)
Collborated with Holition, British Fashion Council, and Google
︎︎︎Digital Version (PDF)
︎Data Science, Sustainability
Blossoming Fashion Conversation
Exhibition at Somerset House (London)
Collborated with Holition, British Fashion Council, and Google
︎︎︎Digital Version (PDF)
︎Data Science, Sustainability
06
Hungary
Two tone, Information Design
Rhode Island School of Design
︎Book design
Hungary
Two tone, Information Design
Rhode Island School of Design
︎Book design
07
Sketchy
Creativity support tool
Brown University
︎︎︎Feature analysis (PDF)
︎︎︎Summary (PDF)
︎Computer interaction
Sketchy
Creativity support tool
Brown University
︎︎︎Feature analysis (PDF)
︎︎︎Summary (PDF)
︎Computer interaction
07
Predicting Household Income In NYC
Data science project
Collaborators: Yiwen Shen and Zhiwei Zhang
Brown University
︎︎︎Read report
︎︎︎Code on Github
Predicting Household Income In NYC
Data science project
Collaborators: Yiwen Shen and Zhiwei Zhang
Brown University
︎︎︎Read report
︎︎︎Code on Github
SEARCH ENGINE
Created a search engine from scratch to navigate, query, and analyze a large Wikipedia corpus. Two ranking schemes were implemented in the system (tf-idf and PageRank) as well as a number of query types: one-word, free-text, phrase, and boolean.
Date: 2018
Client: Self
Collaborators: Tong Zhang
Created a search engine from scratch to navigate, query, and analyze a large Wikipedia corpus. Two ranking schemes were implemented in the system (tf-idf and PageRank) as well as a number of query types: one-word, free-text, phrase, and boolean.
Date: 2018
Client: Self
Collaborators: Tong Zhang
