Projects

Clerkenwell Design Week

Clerkenwell Design Week - Live Data Visualisation

An interactive, live data visualisation that revealed patterns and insights from the local community for Clerkenwell Design Week 2018.

In order to better understand and promote London's biggest architecture and design festival, my team (infogr8) and I set out to map the connections and patterns that exist in the community.

Using a design sprint method we created a live visualisation that accepted user input through a simple four question survey, and then added these answers to the visualisation. Users were then invited to explore the results so far with an interactive walkthrough of the data, followed by a fully interactive dashboard to filter and sort the data at will.


Contributions

Research

Data

Writing

Product

IWF Annual Report 2017

IWF Annual Report 2017

A one-page website to visualise the trends, data and learnings from the Internet Watch Foundation's 2017 Annual Report.

The Internet Watch Foundation (IWF) exists to minimise the availability of online sexual abuse content, particularly those that portray child sexual abuse. Each year the organisatin releases an annual report to display stats like the numbers of URLs removed, distribution of content across the world, increase in certain kinds of content and more.

As part of the infogr8 team, we set out to create a central online location to share these trends in a visual format. As the lead data journalist on the project, my task was to sort through the existing longform content from a PDF and identify the key takeaways for the reader. I then created a series of datasets to visualise these takeaways, along with design and data visualisation reccomendations for the charts throughout.


Contributions

Research

Writing

Data

Viz

Root to Flower AR App

Root to Flower AR App

A data-led augmented reality experience that visually explains the effects of food waste on our environment, alongside a set of AR recipe cards showing how to make each dish at the event.

In collaboration with Spearhead Interactive and Joe Sarah Photography, the team at infogr8 created a series of custom infographics to view in augmented reality. After downloading the app, guests were invited to discover these infographics by exploring their surroundings and finding specific trigger images to point their phone camera at. Guests could also point their cameras at the large-scale food photography hanging on the walls to view the recipes that would be served that evening.

Ahead of the event, I researched and analysed the data on global food waste to find the most impactful facts to feature in augmented reality. These stats were then contextualised alongside other data to help people put the numbers in perspective. For example: did you know that the amount of global food waste is 4x the amount needed to feed all the malnourished people in the world? We then took these facts and produced a series of visualisations that weaved together a narrative around food waste.


Contributions

Research

Data

Writing

The Network of a Lifetime

The Network of a Lifetime

An interactive journalism piece on the end of net neutrality in America as part of my dissertation project for the Goldsmiths MSc Digital Journalism programme.

In January of 2018, the online debate over the future of net neutrality regulations was well underway. I wanted to capture this important moment in time through an in-depth explanatory piece of journalism that captured the nuance of the debate through data visualisation and research.


Tech

Web page: Uikit, jQuery and ScrollMagic.
Viz: d3.js, Tableau, Illustrator and QGIS for maps.


Skills

Research

Writing

Data

Viz

Code

The Westminster Tweets

Westminster Tweets - A Network Analysis

A network analysis and data viz of tweets following the news of a Westminster terrorist attack.

In 2017, London suffered from a series of terrorist attacks within the span of a few months. Following news of the Westminster attack, I wanted to see how profiles on social media were reactinng to this news, and potentially using it to drive a certain political agenda.

Once news broke of the attack I started a Python script to pull all tweets containing keywords and hashtags related to the incident. From this dataset I performed a network analysis to discover the groups and clusters of activity discussing the event on Twitter.

These findings were then visualised in a network graph, and published along with editorial highlights of the various groups.


Tech

Data: Python (scraping) + Excel
Viz: Gephi + Adobe Illustrator

Skills

Data

Design

Viz

Writing

Trump Cabinet Conflicts

Trump Cabinet Conflicts

Interactive data visualisation and story on the conflicts of interest in Trump’s cabinet.

Usingn Buzzfeed's amazing Trumpworld dataset, I created an interactive data visualisation and scrollable story to analyse the connections between Trump's cabinet members and other sources.

The interactive network graph at the top of the page allows the user to filter, search and hover to discover the many business and political connections held by Trump's cabinet. Further down the page, the story walks the user through some of the most interesting (and potentially suspicious) connections through a bit of data scrollytelling and changing network graphs.

Story published independently as part of the Goldsmiths MSc Digital Journalism programme.


Tech

Tools: Uikit, jQuery and d3.js

Skills

Research

Writing

Data

Viz

Code

The Super Polluters

The Super Polluters

A longform data investigation revealing how high polluting power plants in America are disproportianately affecting the Earth's atmosphere.

While industry as a whole carries the burden of reducinng carbon emissions, certain culprits carry more of the blame for dirty energy practices than others. For this story I dove into the data on America's top polluting energy facilities to see who is releasing the most carbonn dioxide and other GHGs into the atmosphere.

Using original research and some open datasets from the Center for Investigative Journalism, I used visualisation to capture a more accurate picture of who is contributing emissions. Data reveals how a few of the top companies are responsible for most of the harmful emissions — and they also contribute most of the lobbying money in Congress.

Story published independently as part of the Goldsmiths MSc Digital Journalism programme.


Tech

Data: Excel
Code: Uikit, HTML/CSS and Google Charts API (Javascript)

Skills

Research

Writing

Data

Viz

Code

Hyperpartisan Publishers

Hyperpartisan Publishers on Twitter

A longform journalism piece using data analysis and visualisation to reveal how hyperpartisan news publishers behave on Twitter.

Fake news was inarguably one of the defining cultural, social and political moments of 2016. And for the most part, social media networks acted as the carrier for this new tactic of misinformation and exaggeration.

I set out to discover the Twitter tactics of the most likely culprits of spreading misinformation: hyperpartisan publishers. Whether leaning politically right or left, the tone and style of these news publishers lend themselves most often to the types of headlines that often are taken out of context and misquoted.

Using the Twitter API, I scraped all tweets over the course of one week from the top five most popular "hyperpartisan" publishers from Conservative and Progressive news networks. I then analyses this data to findn the trends and patterns that each shared, and how they differed. Data visualisations and editorial text throughout walk the reader through the most interesting takeaways from this analysis and what it might mean for identifying what can be classified as hyperpartisan behaviour on social media.

Story published indpendently as part of the Goldsmiths MSc Digital Journalism programme.


Tech

Data: Python + Excel
Code: Uikit, HTML/CSS, and Highcharts.js (Javascript)

Skills

Research

Writing

Data

Viz

Code