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Introducing Decoding Devices powered by MAUDE, a game-changer in patient safety. Leveraging the extensive data within the FDA's MAUDE database, our innovative solution decodes critical insights.
Education
Building energy conservation measures are crucial to lower GE. Energy star score inadequately describes building-level performance. We provide a framework for practitioners to identify these targets.
Revolutionizing NYC's MTA with dynamic pricing: smoother rides by spreading demand and boosting revenue. Making commutes efficient and comfortable for all.
We use data collected in the implementation of the 'Greener, Greater Buildings Plan' laws to analyse the compliance of existing and upcoming buildings to building emissions caps.
hackathon
Our team has analyzed the root causes of educational inequality in NYC: poverty, crime and racial segregation, to empower students in NYC by addressing these problems directly.
What parameters influence Math and ELA test scores? Our goal is to understand which features are the more influential in helping NYC school working on these specific ones.
NYC Subway Optimization
Snazzy display on the way…
Motivation: There is a persistent problem of medical devices leading to adverse events. We aim to identify and analyze procedure/device-related errors in adverse events associated with medical device
Be the best!
Etc
What factors tend to cause adverse drug reactions?
Analysis of NYC Department of Education Math and ELA Schools cross-referenced with Annual Student Safety Reports
We want to predict subway demands and help MTA better allocate resources.
GOOD
In this project, we are predicting crime rates using NYC transit data. As a result, MTA can more effectively staff their stations, and metro users can be more well-informed / travel safer.
Keep New York moving forward, one ride at a time !!
We've delved into MTA data, using stats to uncover issues and propose solutions for better public transit. Join us on this journey.
Team Members: Yuhan Liu, Yizhang Huang, Jiaqi Liu How to utilize a standardized Energy Use Intensity to compute the relatively electricity and natural gas consumption to achieve the emission goal.
MTA Commute Pal: Revolutionizing NYC subway travel with predictive analytics. Join us at the hackathon to transform public transportation and enhance daily commutes. Smoother rides await for New York!
This Data Science project aims to leverage NYC's building data to provide insights and recommendations that promote sustainability in the city.
We want to analyze student performance metrics from grade 3 to grade 8 with student features and use it to understand education quality in NYC from 2013 to 2017.
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