MIMS Final Projects: 2020

An experiment to identify affordances on social media that influence everyday news consumers and build credibility about the news consumed on the platform.…
Advisor: Hany Farid
How do people know whether or not to trust an AI prediction?
Advisor: Coye Cheshire
A practical, user-friendly guide to understanding and implementing Causal Forests — a machine learning–based algorithm for causal inference.
AI-powered digital media management and analysis
Nudging consumers toward more eco-conscious grocery shopping habits
The Lightning Network is a novel system that offers a public decentralized financial infrastructure. Our project explores ways to improve it.
Your mental health companion through life transitions
Advisor: Coye Cheshire
Journey is a service designed to help psychotherapists and their clients bridge the gap between sessions
Advisor: Coye Cheshire
A markdown-based web framework for generating WebVR exhibits.
Advisor: Kimiko Ryokai
A markdown-based web framework for generating WebVR exhibits.
Advisor: Kimiko Ryokai
A markdown-based web framework for generating WebVR exhibits.
Advisor: Kimiko Ryokai
Novel technique for attacking location privacy in autonomous vehicles
A data-driven toolkit for aspiring rappers that will take their art to the next level.
Advisor: David Bamman
We analyze whether there exists a best strategy for preparing for programming interviews: blocked or interleaved?
An optimization tool for street sweeping planning to create a clean and organized environment with minimized interruption to the local community.
Advisor: Hany Farid