Personal information
Full name: Lauren Ministero
User name: LaurenMinistero
Organization memberships
Not a member of any organization.
First 500 volunteers
Volunteer background
Volunteer availability
Start date: None
End date: None
Hours available per week: None
Volunteering interests
No stated preferences.
Computer Science (Algorithms)
Data from Sensors
Multimedia Data (Video or Audio)
Data in Text Files
Data in Relational Databases
Text Data (NLP)
Data > 1TB
Experimental Methods (RCTs, A/B testing, etc.)
Social Science (Economics, Sociology, etc.)
Experience working on real-world problems using data
Data Visualization
Data Analysis
Time Series Models
Causal inference
Decision Trees
Random Forests
Neural Networks / Deep Learning
Unsupervised models
Semi-Supervised models
Regression Discontinuity
Instrumental Variables
Matching (e.g., Propensity Score Matching )

Volunteer projects

Project name Organization name Social impact area Project summary Task name Task status
Social Media for Public Health The George Washington University School of Engineering and Applied Science Education We are conducting several studies using social media to better understand public health trends and misinformation around COVID-19. Project scoping Started
GraphLab and IDDP Mapping the Spread The George Washington University School of Engineering and Applied Science Education Dr. Howie Huang’s GraphLab, together with Dr. David Broniatowski and IDDP (Institute for Data, Democracy, and Politics) researchers, is working to map the prevalence and spread of attitudes towards COVID-19 on online social media platforms. They are examining repositories of social media data related to the epidemic, starting as early as January 2020, to map the spread of discussion, information, and attitudes towards the disease and the public health response to the outbreak. Project scoping Pending review