International Summer School: Urban Data Science Application

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The NYU Center for Urban Science + Progress (CUSP) is partnering with the National and Kapodistrian University of Athens, the Technological University of Uruguay, the University of Lisbon, and the University of Tuscia to offer the International Summer School: Urban Data Science.

This program allows students to spend 3 weeks studying Urban Hydrology, Urban Metabolism, and Urban Thermal Environment using Time Series Analysis, Complex Systems, Data Science, Machine Learning, and Satellite Image Analysis. Join a highly diverse and global cohort of students to take your skills to the next level.

Location: NYU Tandon School of Engineering (Brooklyn, NY)
Dates: June 16 - July 6, 2024
Eligibility: Applicants must be currently pursuing a graduate degree at NYU Tandon School of Engineering, the National and Kapodistrian University of Athens, the Technological University of Uruguay, the University of Lisbon, and the University of Tuscia.
Accommodations: Housing will be provided for students coming from the National and Kapodistrian University of Athens, the Technological University of Uruguay, the University of Lisbon, and the University of Tuscia at no extra cost.
Cost: FREE

Fill out the form below to apply to the International Summer School program. The deadline to apply is February 15, 2024.

CUSP MS Student Participant:

Fill out the form below to apply to the International Summer School program. CUSP MS Students are encouraged to apply by the deadline: Wednesday, May 1, 2024, 11:59 PM EST. Selected students will be notified on Friday, May 3, 2024.

Email *

First Name *

Last Name *

Email Address (associated with your university) *

Mailing Address *

What school are you affiliated with? *

NYU Tandon School of Engineering

National and Kapodistrian University of Athens

Technological University of Uruguay

University of Lisbon

University of Tuscia

What degree are you currently pursuing? *

Start Date of Degree Program *

Estimated End Date of Degree Program *

Please include a personal statement about the intent of your studies. How does a focus on urban data science relate and contribute to your existing work? (500-1,000 words) *

A copy of your responses will be emailed to the address you provided.

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