jesmith14
I'm a PhD Student at CU Boulder researching AI & machine learning ethics, fairness, and transparency. Check out some of my repos!
Boulder, Colorado
Pinned Repositories
AILight
Repository for 'Palette'. This project utilizes the Phillips Hue Light SDK, kmeans clustering algorithms, PyTorch's neural net modules, and the Flask framework for Swift to Python integration.
DatosProfundos
An open source repository for English and Spanish speakers who are interested in learning how to use data science to create a social impact.
fairness-ml-tutorial
Open Source tutorial for introductory data scientists to implement fairness models to correct for training data redundantly encoded with bias.
FairnessFeedback
The repo that holds the code for the ongoing study assessing whether fairness metrics can help minimize unwanted feedback loops in certain multistakeholder recommender systems.
intro.python.ethics
A full curriculum to teach introductory coding in python through the use of modern ethics, HCI, & STS case studies.
personal-sentiment-analysis
Data Science project that implements sentiment analysis on your personal facebook account. By cross-examining the public timeline posts vs. the private messages, I created visualizations to discover if my private sentiment is different than my public sentiment. Then, I used a machine learning algorithm to predict what my future sentiment might be.
ProPublicaCritique
Replicating the famous ProPublic Machine Bias study with an emphasis on gender bias rather than racial bias
REAL-ML
The Recognizing, Exploring, and Articulating Limitations in Machine Learning research tool (REAL ML) is a set of guided activities to help ML researchers recognize, explore, and articulate the limitations that arise in their research.
TwitterTrends
A tutorial to reverse engineer Twitter's trending algorithm. In this repo you will also find a report that highlights some ethical concerns with social media engagement manipulation.
jesmith14's Repositories
jesmith14/REAL-ML
The Recognizing, Exploring, and Articulating Limitations in Machine Learning research tool (REAL ML) is a set of guided activities to help ML researchers recognize, explore, and articulate the limitations that arise in their research.
jesmith14/personal-sentiment-analysis
Data Science project that implements sentiment analysis on your personal facebook account. By cross-examining the public timeline posts vs. the private messages, I created visualizations to discover if my private sentiment is different than my public sentiment. Then, I used a machine learning algorithm to predict what my future sentiment might be.
jesmith14/fairness-ml-tutorial
Open Source tutorial for introductory data scientists to implement fairness models to correct for training data redundantly encoded with bias.
jesmith14/FairnessFeedback
The repo that holds the code for the ongoing study assessing whether fairness metrics can help minimize unwanted feedback loops in certain multistakeholder recommender systems.
jesmith14/DatosProfundos
An open source repository for English and Spanish speakers who are interested in learning how to use data science to create a social impact.
jesmith14/TwitterTrends
A tutorial to reverse engineer Twitter's trending algorithm. In this repo you will also find a report that highlights some ethical concerns with social media engagement manipulation.
jesmith14/AILight
Repository for 'Palette'. This project utilizes the Phillips Hue Light SDK, kmeans clustering algorithms, PyTorch's neural net modules, and the Flask framework for Swift to Python integration.
jesmith14/intro.python.ethics
A full curriculum to teach introductory coding in python through the use of modern ethics, HCI, & STS case studies.
jesmith14/ProPublicaCritique
Replicating the famous ProPublic Machine Bias study with an emphasis on gender bias rather than racial bias
jesmith14/guber
A simplified version of Uber
jesmith14/jesmith14.github.io
jesmith14/MachineLearningPlayground
Testing out some basics to practice my machine learning skills!
jesmith14/MappingSLC
A mapping SLC project.
jesmith14/recsys-signal-study
A mixed methods study to see the impact that choosing different surrogate problems and different positive signals in data for recommender systems has on various optimization metrics for users
jesmith14/ReduxSimpleStarter
Starter pack for an awesome Udemy course
jesmith14/simpleFacebookApp
A simplified version of Facebook to understand React-Redux and MVC better
jesmith14/SocialMediaDataMining
Code & Stuffs from my Social Media Data Mining Grad Course
jesmith14/sunlightCongressTracking
jesmith14/Tempo
CPE 308 - Tempo