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

Volunteer projects

Project name Organization name Social impact area Project summary Task name Task status
Nonprofit Environment Interactive Map Pionero Philanthropy Education This project will promote the sustainability and accessible management of organizational data visualization through an interactive map using javascript. Creating a JavaScript map Started
Processing and analyzing data on Nigeria's increasing Maternal Mortality Rate HelpMum Education The goal of this project is to reduce maternal mortality and improve outcomes for pregnant women, new mothers, and infants in Nigeria. The maternal mortality ratio (MMR) in Nigeria was 545/100,000 live births in 2008 and increased to 814 deaths/100,000 live births in 2015 which is still unacceptably high. Data analysis Started
Putting a face to's anonymous users Illinois Legal Aid Online (ILAO) Education will be used by over 3 million people in 2020. With a average website session of just under two minutes, Illinois Legal Aid Online (ILAO) has little understanding of the impact it makes on its users. ILAO seeks to gain insights from its website user data about who it serves, how it serves them, and how it can improve its services. Project scoping done_all Completed
Amphan: analyzing experiences of extreme weather events using online data International Water Management Institute Education Cyclone Amphan made landfall in South Asia on May 20, 2020. It was the most damaging storm in the history of the Indian Ocean, rendering hundreds of thousands of people homeless, ravaging agricultural lands and causing billions of dollars in damage. How were people affected by the storm? What were the responses of individuals, governments, corporates and NGOs? How was it covered by local, national and international media, as opposed to individuals' accounts? Who has created the dominant narratives of Cyclone Amphan; and whose voices go unheard? We aim to use online data -- such as Twitter posts, news headlines and research publications -- to analyze people's experiences of Cyclone Amphan. Project scoping done_all Completed