MIMS Final Projects: 2020

Affordances of Credibility on Social Media
Affordances of Credibility on Social Media
Aneesa Chishti, Srividya Ramamoorthy, Nithya Ramgopal, Vaibhav Sakore
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
UXAI
Calibrating Trust in AI-Assisted Decision Making
Mu-Ti Huang, Meena Kaushik, Amy Turner, Srikar Varanasi
How do people know whether or not to trust an AI prediction?
Advisor: Coye Cheshire
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Causal Forests: A practical guide for understanding and implementation
Taylor Bixby, Nick Dekutoski, Tanvi Sunku
A practical, user-friendly guide to understanding and implementing Causal Forests — a machine learning–based algorithm for causal inference.
Advisor: D. Alex Hughes
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Galileo
Ankit Bansal, Sofia Gutierrez-Dewar, Chintan Vyas
AI-powered digital media management and analysis
Advisor: Chris Jay Hoofnagle
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Green Tomatoes
John Baldwin, Melrose Huang, Ashley O’Neale, Minji Yoo
Nudging consumers toward more eco-conscious grocery shopping habits
Advisor: Jenna Burrell
Blockchain Network
Identifying Beneficial Connection Types in the Lightning Payment Network
Daniel Rincón, Eva Wu
The Lightning Network is a novel system that offers a public decentralized financial infrastructure. Our project explores ways to improve it.
Advisor: Joshua Blumenstock
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Innixi
Yuval Barash, Rahul Nangia, Yunjie Yao
Your mental health companion through life transitions
Advisor: Coye Cheshire
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Journey
Ashten Bartz, Victor Grajski, Brandon Shalchi
Journey is a service designed to help psychotherapists and their clients bridge the gap between sessions
Advisor: Coye Cheshire
Approachable VR Content Creation
Malloci
Maria Belyi, Michael Gutensohn, Jennifer Momoh, Yejun Wu
A markdown-based web framework for generating WebVR exhibits.
Advisor: Kimiko Ryokai
Omnisciens
Omnisciens
Mugdha Mangesh Bhusari, Amrit Daswaney, Akshay Punhani, Alicia Tsai
Novel technique for attacking location privacy in autonomous vehicles
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ROTY Studio
Bomi Kim, Paul Stott
A data-driven toolkit for aspiring rappers that will take their art to the next level.
Advisor: David Bamman
Statistical Analysis of Procedural Learning (Blocked vs. Interleaved) in Humans
Rajvardhan Oak, Vikramank Singh
We analyze whether there exists a best strategy for preparing for programming interviews: blocked or interleaved?
Advisor: Zachary Pardos
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Sweep Smart
Yi Gai, Zhi Li, Jessie Lyu, Anna Waldo, Min-Chu Yang
An optimization tool for street sweeping planning to create a clean and organized environment with minimized interruption to the local community.
Advisor: Hany Farid

Programs