At UCIPT, we are doing cutting-edge research bringing together big data, social media, and machine learning across UC campuses and departments to pioneer the new, interdisciplinary field of prediction technology.
UCIPT has developed a visualization application that compares social media data from 10 different universities. Each day tweets are collected and the graph is updated, providing trends and insights into the real-time stress and happiness quotients at these institutions.
See our Q&A on the project - Social Media, Stress, and College Life: The Freshman 200 Study
Time Series Visualization - Select two schools to compare. The visualization will show the stress levels over time for each school.
Stress Map - This map will show the overall stress level by location from a 0 - 1 (light blue to red) scale.
0 (light blue) represents low levels of stress whereas 1 (red) represents high levels of stress.
Happiness quotient - The overall happiness levels at each university.
Word Cloud - Displays the most frequently used words by students.
Want to get involved?
Leave us your Twitter handle. The more Twitter handles we can collect data from, the better our models perform.
Not a student, but still interested in prediction technology?
Email us at email@example.com.