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Equitech Scholars

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an IBP member program

Academic Level:
For most summer research programs, this is your upcoming status as of the fall. Always check with the individual program's website for details.

Undergraduates - First Year
Undergraduates - Sophomore
Undergraduates - Junior
Undergraduates - Senior

Note: this opportunity encourages applications from community college students.

The Equitech Scholars Program is our flagship opportunity for current undergraduates who want to learn how to use cutting-edge technology tools in data science and artificial intelligence to tackle societal challenges.

This eight-week, fully-funded program will invite you to explore these topics with a lively, tight-knit community of peers and mentors. Whether you want to become an entrepreneur, advocate for public policy, or work in the technology sector, the Equitech Scholars Program provides you with the skills, perspectives, and community necessary to accelerate your ambitions and launch your career.

To tackle complex societal challenges in the 21st century, aspiring innovators need to be more than just good students, scientists, programmers, and researchers.

- They need to understand a problem, not simply identify it.

- They need to apply what they learn, not simply digest it.

- They need to communicate complex knowledge, not simply consume it.

The Equitech Scholars program is designed to develop the valuable habits and capacities of data-driven problem-solving, critical reasoning, technological empathy, and effective communication that are essential for innovation.
accepts non-us citizens

Participating Institution(s):
(Click an institution to see all programs it hosts or sponsors)
EquiTech Futures  (Lead)
Aspen Global Change Institute (AGCI)
California Institute of Technology
University of Cambridge
University of Chicago
University of Oxford

Program Materials:
 • Program Website 
movie  Program Video

This Program can be Described by:
Academic Disciplines:
Artificial Intelligence
Computer & Electrical Engineering
Computer Sciences
International Studies
Philosophy & Ethics
STEM Fields

Artificial Intelligence
Bayesian Methods
Collaborative Research
Computational Statistics
Data Analysis
Data Science
Mathematical Modelling
Statistical Modelling

Learn More and Apply!

Page last updated 4/19/2024
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