LN.
Leonardo Nicoletti
Data Stories
Photography
Street Photography
Opioid Voices
publications
press
About
CV
Let's work together
Hi, I'm Leonardo.
I use
data
,
code
,
and
photography
to tell socially relevant
stories
. My work is at the intersection of
data science
,
art
, and
journalism
.
Hi, I'm Leonardo.
Hi, I'm Leonardo. I use
data
and
code
to tell stories about
cities
.
I use
data
,
code
,
and
photography
to tell socially relevant
stories
. My work is at the intersection of
data science
,
design
, and
journalism
.
Work
RECENT PROJECTS
Flood-Hazard Locator
An app for identifying flood-hazardous locations during extreme flood events in the Greater Vancouver region.
Built with
D3.js
and
mapbox.js
for
fun
#Hashtags as a Means for Political Action
Exploring the Impact of Location-based Hashtag Activism on Political Processes Using Geolocated Social Media Data.
Conducted with
Python
and
D3.js
for
my masters thesis
London in the Pandemic Era
A visual narrative around COVID-19 and mobility in London.
Built with
Python
and
D3.js
for
Enders Analysis
and
IPA Effworks
Take it to the tweets, not the streets
In the digital era, hashtag activism may be a stronger predictor of legislative change than traditional protest
Conducted with
Python
and
D3.js
for
an interview with
The Economist
Homegrown Criminality
Visualizing new data on felony crime rates by citizenship status in the United States.
Built with
Python
and
D3.js
for
fun
The Death Toll of Policing
Visualizing deaths caused by policing in the United States.
Built with
Python
and
D3.js
for
fun
Honorable mention at
The Pudding cup
for the best visual and data-driven stories of 2020
London in the Pandemic Era
A visual narrative around COVID-19 and mobility in London.
Built with
Python
and
D3.js
for
Enders Analysis
The Unequal Nature of Urban Accessibility
A data-driven framework to reveal systemic inequalities in access to infrastructure across global cities.
Built with
Python
and
D3.js
for
Delft University of Technology
Opioid Voices
Visualizing voices of the opioid epidemic through photography and text mining.
Built with
Python
and
my camera
for
Vancity Community Foundation
Disaster Resilience in Bangladesh
Exploring the vulnerability and criticality of Bangladesh's Road infrastructure.
Built with
Python
and
Plotly.js
Crime, Street Lights, Trash Cans, and Trees
Debunking dated myths about factors of criminal activity within cities.
Built with
Python
,
Plotly.js
and
D3.js
Regional Ecological Health
Quantifying tree canopy cover and impervious surfaces for the metro Vancouver region.
Built with
ArcGis
,
QGIS
and
R
for
Metro Vancouver
WHO I HAVE WORKED WITH
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