Welcome remarks

Opening Talk - Dataviz and its role in democratising data: Outstanding projects in 2020-2021

Xaquín González Veira, co-founder of the Visualization for Transparency Foundation will present examples of innovative data visualisation projects from the past year.

Lightning Talks- Dataviz and Media Literacy: Educating our eyes

The Guardian’s visual storytelling and data literacy in 2020

Over the past year, data has become more important than ever in helping us understand the news. The Covid crisis has driven newsrooms to produce increasingly innovative, compelling and clear data visualisations for their audiences

Niko Komenda, Visuals Projector Editor at The Guardian, will highlight some of the Guardian’s most ambitious visual projects from 2020 and discuss how readers’ understanding of data and its graphical representation has changed since the start of the Covid-19 pandemic

Data as a tool for transparency: Where does European national public spending go?

Data journalist Adriana Homolova worked with the Organized Crime and Corruption Reporting Project (OCCRP) on collecting and analysing European COVID-19 public tender data. Along with media partners in 37 countries, Adriana and her colleagues collected 21 billion euros worth of tender data from 37 countries.This data gives an unprecedented view of just what Europe’s governments have been spending their billions on — and where things may have gone astray.

Adriana will share with us the outcome of her data investigative project: Europe's Spending Spree Unmasked project.

Ask me Anything

Xaquín González Veira in conversation with Niko Komenda and Ada Homolova. The speakers will explain more in detail their work, talk about the future about dataviz and they’ll answer your questions! Write them in the YouTube chat and we’ll ask them on your behalf during the live-streaming!

AI & Deepfakes: How can journalists know what's real?

There is a growing technological arms race in the world of data journalism. Deep fake technology is becoming an increasingly effective tool for those seeking to disseminate mis- and disinformation.

In this panel discussion, we will explore how data journalists can take on the challenges presented by AI and deep fakes.

We’ll be joined by Sam Gregory, a deep fake expert with a focus on emerging technologies like AI, and their intersection with media manipulation and rising authoritarianism. Maria Amelie will share her insights, through her work as both a data journalist and co-founder of Factiverse, a computer software company that has developed technology that automates detection of fake news with cutting-edge AI. Glyn Mottershead, Senior Lecturer in Data Journalism at the City University of London will break down how educators and students can adapt to these growing challenges.

Panel moderated by Tara Kelly, Data editor for EJC's DataJournalism.com

Coffee Break

Lightning Talks - Data: What's next?

Gamification of data: How play can make news stories more accessible
Could video games become a tool used by newsrooms to draw attention to news stories and educate audiences? The gamification of news coverage is allowing some journalists a unique way to help their audiences better understand the news they're consuming.

Sarah Slobin, graphics and visual journalist at Reuters, will share with us some examples of the dataviz produced by the Reuters graphics team and explain how gamification can make a topic more accessible. Sara will explore in detail the Reuters graphics project"What will it be when we go back to the office?"

Data sonification: Bringing data to the ears

Although The Economist has been visualising data in tables and charts for 170 years, the launch in 2019 of “The Intelligence”, a new daily podcast, gave them the opportunity to bring data to the ears of their listeners for the first time.

Alex Selby-Boothroyd will share The Economist’s experiments with sonifying gender-paygap data and, more recently, the race to vaccinate the world.

Ask Me Anything

EJC'S Deputy Director Lars Boering in conversation with Sarah and Alex. The speakers will explain more in detail their work, talk about the future of dataviz and will answer your questions! Write them in the YouTube chat and we’ll ask them on your behalf during the live-streaming.

Data journalism vs. the far right: The U.S. and Germany at a crossroads

The influx of information over the past year, together with a lack of knowledge of how to read data has led to a rapid spread of misinformation. Amidst the noise, many have selectively used data to entrench existing beliefs and assumptions, contributing to broad social divisions and the further rise of populist movements. These developments point to the need for journalists to harness this data and present it to a public that can see the realities of their society, rather than an agenda-driven distortion of it.

Tara Kelly, data editor at DataJournalism.com will interview The New York Times' Haeyoun Park, who will discuss her experience covering the 2020 presidential election as well as the fallout from the Capitol riot in January. Haeyoun will share with us how The New York Times covered these issues through data and visual stories.

What lessons can we learn in Europe from Haeyoun's experience?

Benedict Witzenberger, data journalist at Süddeutsche Zeitung, will be part of this conversation bringing the German perspective. Benedict will tell us how they can use data to overcome hate speech, right-wing nationalism and COVID-19 misinformation when the German national elections are happening this September 2021.

AI, Data & DEI: How can data journalism help identify and mitigate newsroom bias?

Through a London School of Economics Journalism AI collaboration, The AIJO project - representatives from eight major news organisations across the world - have together explored how to leverage the power of AI to address this question.

In our panel on data journalism and diversity, equity and inclusion (DEI), we’ll be joined by Delfina Arambillet of LA NACION in Argentina and Aurore Malval of Nice-Matin in France. Their project takes a deep look at the process of creating news and experiments with AI that can identify gender representation in our texts and images.

Wrap-up and see you at NIS Diversity, Equity and Inclusion (DEI)!

How to enhance your reporting with machine learning in the newsroom

This course will introduce you to the potential of machine learning and help you reflect on how you can use it responsibly to enhance your journalism. Caroline Scott, Google News Lab, will also talk you through the situations when machine learning is the right tool to support your reporting so you can get started today