Name: Nicole Paul
Type: User
Bio: Disaster Risk Analyst
Twitter: nicopurr
Location: Milan
Blog: https://nicolepaul.io/
I'm currently researching household displacement due to disasters at University College London. My past employers include Arup and the Global Earthquake Model. My contributions here are mainly geared towards disaster risk analysis and tools for developing disaster risk models.
Feel free to connect with me and my work on: 
30-day-map-challenge
A repository to host code for participation in the 2021 #30DayMapChallenge
academic-website
Personal website using the Hugo Academic CV theme.
africa-exposure-model
Mapping schemes and summary statistics for the GEM Africa Exposure Model (2021)
arup_sra
SRA post-processing GUI in MATLAB
cee287-matlab
CEE 287 - Earthquake Resistant Design MATLAB Files - Max Ferguson & Nicole Paul
cee385_finalproject
Final project for CEE 385 Fall 2015
covid19-oxcgrt-viewer
Notebook to visualize Oxford COVID-19 Government Response Tracker (OxCGRT) data
dash-ushh-displacement
Simple dashboard to investigate data on household displacement following recent disasters in the US
derisc-lab
Template for research lab website from HugoBlox
earthquake-scenarios
GEM Earthquake Scenario Database
global-exposure-model
This is the web repository of the GEM's Global Exposure Model
global_fragility_vulnerability
hps-disaster-displacement
Investigating household displacement after disasters using the United States Household Pulse Survey
nicolepaul
nicolepaul.github.io
openfema-analysis
Some code to help query openFEMA data to better understand disaster declarations and assistance to individuals and households following disasters in the United States
spatial-disaggregation
Python code to spatially disaggregate coarse exposure data to a finer resolution using WorldPop population estimates
sra_gui
Arup GUI for post-processing SRA results from Dyna
steer-hurricane-map
Demo web app for potential use with StEER in tracking hurricane damage.
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
