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Jessie J. Smith's Projects

ailight icon 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 icon 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 icon fairness-ml-tutorial

Open Source tutorial for introductory data scientists to implement fairness models to correct for training data redundantly encoded with bias.

fairnessfeedback icon 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.

guber icon guber

A simplified version of Uber

intro.python.ethics icon 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 icon 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 icon propublicacritique

Replicating the famous ProPublic Machine Bias study with an emphasis on gender bias rather than racial bias

real-ml icon 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.

recsys-signal-study icon 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

twittertrends icon 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.

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