Goals of the project:
Our Collaborators and Partners:
CEO of RMDS
Alex guides the directions of this project to ensure its success and high quality control. At the same time he connects team members to outside resources like Wuhan University, Harvard Dataverse and recruits data and AI consultants.
Alicia coordinates with different teams, among them specialists in epidemiology, analytics and modeling, and engineers. The team builds visualizations and predictions that empower our communities to make better decisions when tackling COVID-19.
Mo gave professional input in data collection, data processing, and model development. He contributes to model architecture, in particular epidemiological models. He is also preparing a workshop on this topic!
David implemented data pipeline, API integration and arcGIS visualization for both JHU CSSE data and Dingxiangyuan data. David designed and implemented LSTM machine learning model and Stochastic SIR to analyze and prediction the future infection.
Yula is the project manager and keeps track of the status of overall project goals as well as tasks for each team members. She encourages the team to embrace collaborative processess, accountability and a results-oriented mindset.
Pengxiang collects the migration data and also helps with feature selection and model architecture to predict the number of 2019-nCoV cases infected. The results will be used to integrate an alert system for potential outbreak and constant monitoring.
Siyu works with spatial-temporal datasets to help the team on data search, data merging and data centralizing.
Zexuan prepares data for COVID-19 analysis, in particular web scraping and API to gather global news and social media data.
Yishen wrote the program to collect coronavirus patient and hospital statistics for each province and city in China, sourced from posts by government officials on Chinese microblogging site Weibo and Alibaba Maps Platform.
Yanyu does data analytics and researches online information and topics. She looks into how different countries mitigate economic losses while minimizing the spread of the coronavirus.
Simon is doing research on the current coronavirus situation in the San Francisco Bay Area, specifically on the response of the government, data science companies/institutions and economic institutions. Also, he is looking into how big data and AI in Silicon Valley are helping to control the virus and mitigate damages.