Jingrong Zhang | 张镜荣

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Jingrong’s work explores the intersection of art, design, science, and cities, with a focus on social behavior in public spaces, racial and gender equity, and urban greenery and biodiversity. Her projects have been featured and supported by the Council for the Arts at MIT, World Economic Forum, Venice Biennale, and Shanghai Library. Trained in urban planning, she holds a master’s degree in Applied Urban Science and Informatics from New York University’s Center for Urban Science and Progress.  


< Home >

• + Street Scores 
  
• + Dust Bloom 
  
• + Tree-D Fusion  
  
• + Beijing Inside Out 
  
• + Senseable Global Labs 
  
• 
  
• + The Electric Commute 
  
• + Word as Image 
  
• + In Search of Authenticity 
  

Email: jingrong.zhang@nyu.edu 

CV  

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Experience  Research Fellow
MIT Senseable City Lab 
2023 - present

GIS and Mapping Specialist
Data Services, NYU Division of Libraries 
2022 - 2023

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EducationNew York University
MS in Applied Urban Science and Informatics
2022

Tianjin University
BEng in Urban Planning 
2020  

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ExhibitionStreet Scores
Interactive Installation & Performance, MIT Open Space  
2025 

Eyes on the Street
19th International Architecture Exhibition, La Biennale di Venezia 2025 

Re-Leaf
19th International Architecture Exhibition, La Biennale di Venezia 2025 

Word as Image 
Shanghai Library  
2023  

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Talks   Visual Empathy in the Age of Data
Data | Art Symposium, Harvard University
2025

Visualizing Seshat: Unveiling Patterns in Human History with Seshat Databank
Complexity Science Hub
2024

The Electric Commute: Envisioning 100% Electrified Mobility in NYC
NYC Open Data Week  
2023

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Services  
NYC Open Data Ambassador Trainee

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[Dust Bloom]
 

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About   Dust Bloom investigates the relationship between ambient air pollution and menstrual cycle health across the United States, Mexico, and Brazil. Leveraging over 2.2 million de-identified menstrual cycles from 92,550 users of a mobile health-tracking app, between 2016 and 2020, we examined how exposure to fine particulate matter (PM2.5) correlates with abnormal cycle lengths. Our analysis revealed a significant association between long-term PM2.5 exposure and a higher percentage of abnormal and abnormally long cycles at the city level, while short-term exposure showed no significant effects. These findings highlight the potential impacts of air pollution on reproductive health and underscore the need for further research into the underlying biological mechanisms.

Explore at https://senseable.mit.edu/dust-bloom/ 
Explore at https://www.weforum.org/videos/air-pollution-menstrual-cycles/ 

Contribution: visualization, storytelling