The largest data journalism conference in Latin America reaches its sixth edition in a row bringing discussions on the climate crisis, access to information, and data protection, in addition to dozens of workshops with experts.
What is the role of data journalism in preventing and mitigating climate collapse? How can the right of access to public information be reconciled with data protection regulations? These and other issues will be discussed in the sixth edition of the Data Journalism and Digital Methods Conference (Coda.Br), from November 8th to 13th, 2021.
Editor’s note: There are four R-related workshops @ Coda.Br 2021 (Data and health: Sivep without secrets, Tools to mitigate AI biases, Creating a reproducible project in R, and Graphs everywhere: how to create and analyze graphs). Please see below for details.
The conference was created by Escola de Dados (School of Data Brazil), the Open Knowledge Brasil’s data literacy program, Coda.Br is the leading data journalism event in Latin America and will be entirely online for the second year in a row, with free and paid activities.
Three main debate panels, three keynote presentations with international guests, and the final of the Cláudio Weber Abramo Data Journalism Award will be broadcasted openly and free of charge on the event’s website. Paid activities include more than 30 hours of hands-on workshops with experts in the field. The audience can join the workshops with a simple registration (from R$40) or via the Escola de Dados membership program.
Two hundred ninety-five free subscriptions will also be offered to increase the attendance of underrepresented groups. The public call is open until November 1st.
The sixth edition of the Digital Data and Methods Journalism Conference is developed with Google News Initiative and has the support of the US Embassy and Consulates in Brazil; the Hivos Foundation; the Brazilian Institute of Teaching, Development, and Research (IDP); the Brazilian Association of Investigative Journalism; the Brazilian Institute for Research and Data Analysis (IBPAD); from Insper; R Consortium and Datopian.
LAI and LGPD, book launch and climate crisis
Focusing on the complementary relationship between transparency and privacy, the first panel will discuss how public institutions deal with the Law on Access to Information (LAI) after the General Data Protection Law (LGPD) came into force in Brazil. Fernanda Campagnucci, CEO of Open Knowledge Brasil, will moderate the discussion of the following speakers Maria Vitória Ramos (Fiquem Sabendo), Jamila Venturini (Derechos Digitales), Paulo Rená (Instituto Beta).
The panel “Data Journalism in the World” marks the launch of the Portuguese version of “The Data Journalism Handbook: Towards a Critical Data Practice” with Natália Mazotte (Insper), one of the founders of the School of Data in Brazil, in addition to the participation of Cédric Lombion (Open Knowledge Foundation), Liliana Bounegru and Jonathan Gray (King’s College London).
And while the United Nations Conference on Climate Change (COP26) brings together global leaders, Coda.Br will debate the coverage of the climate emergency by journalism, pointing out problems and possible solutions in this area in the panel “Climate crisis in data journalism”. The activity will be moderated by Gustavo Faleiros (InfoAmazonia) and will feature Letícia Cotrim da Cunha (UERJ), Francy Baniwa (National Museum), and Clayton Aldern (Grist).
This year’s keynote presentations include Gurman Bhatia, an independent data visualization designer; Sondre Solstad, data journalism editor at The Economist; and Jim Albrecht, director of product management at Google. The Cláudio Weber Abramo Award for Data Journalism ceremony ends the Conference, with presentations by the finalists and the announcement of the winning projects of this edition of the award.
6th Coda.Br – Brazilian Conference on Data Journalism and Digital Methods
Date: November 8th to 13th
Value: R$40 (access to all event activities) or R$180 (one-year subscription to Escola de Dados, which allows access to the event and other benefits).
Registration and more information about the schedule:
Registration for scholarships:
ABOUT THE SCHOOL OF DATA
School of Data is a global network aiming to empower citizens to contribute to the strengthening of democracies. Escola de Dados is the local chapter of this network and part of Open Knowledge Brasil (OKBR). The program trains researchers, NGOs and journalists, teaching them how to use open data to promote well-informed debates and create effective narratives for their agendas.
ABOUT OPEN KNOWLEDGE BRAZIL
Created in 2013, Open Knowledge Brasil (OKBr) is the local chapter of Open Knowledge Foundation. It is a non-profit Civil Society Organization (CSO) that uses and develops civic tools, projects, public policy analysis, and data journalism training to promote open knowledge in various fields of society.
R-related workshops @ Coda.Br 2021
Data and health: Sivep without secrets
By Carolina Moreno and Raphael Saldanha
Come learn how to analyze the most useful database to cover Covid-19 in Brazil: the Sivep-Gripe. It is using it that authorities, experts and journalists follow the trends of hospitalizations and deaths. This anonymized base is public and is available to anyone who knows how to handle large datasets. However, knowing the code to manipulate the data is not enough. In this workshop, you will have access to specific knowledge about the correct filters to be made, in addition to the dynamics of information systems and epidemiological issues that must be taken into account in the coverage.
Carolina Moreno is a senior data journalist for TV Globo. She has been a journalist since 2006, specializing in journalism editing since 2009, and has produced data-driven reporting since 2017. She covers Covid-19 pandemic data from its beginning for local and national news programs. Winner of the 2014 and 2015 Andifes Award, second place in the 2019 Impa Award. Participant in R-Ladies São Paulo since 2019.
Raphael Saldanha is a health data scientist, with PhD in Health Information and Communication from Fiocruz, one of the most prestigious health institutions in Brazil. He works on quantitative health research and the production of data visualization dashboards. He has been working with COVID-19 data since the beginning of the pandemic, building Fiocruz MonitoraCovid-19’s COVID-19 monitoring panel. He has been teaching R courses since 2010.
Tools to mitigate AI biases
By Gabriela de Queiroz e Paolla Magalhães
In this workshop, you will learn how to measure and mitigate bias in your data and models using the AI Fairness 360 open-source toolkit. You will learn which metric is most appropriate for a given case and when to use many of the different bias mitigation algorithms. The workshop will mention the R package.
Gabriela de Queiroz is a Chief Data Scientist at IBM California leading AI Strategy and Innovations. She drives the AI adoption across existing and potential customers, lead outreach strategy across our open source ecosystem and data science community. Previously she was a Program Director working on Open Source, Data & AI Technologies at IBM.
Creating a reproducible project in R
By João Santos
In corporate and scientific works we are increasingly faced with scenarios where we try to reproduce the code written by someone else and we find inconsistencies and errors. The solution to these problems lies in a series of practices and conventions that ensure that your code runs consistently. In this workshop, you will learn how to develop a reproducible project in R. We will make use of libraries and directory organization best practices, making our results permanently consistent.
João is currently a Jr. Data Engineer at Account Split. He serves as a research assistant in the Department of Political Science at Emory University, where he researches political disinformation. He is a major in International Relations at PUC-Rio, and holds the AWS Certified Cloud Practitioner certification.
Graphs everywhere: how to create and analyze graphs
By Janderson Pereira
The purpose of this workshop is to present the concepts of graphs and relational data used to identify groups and their subjectivities. The idea is to show how to extract data from social networks, especially Twitter or Youtube, and then treat them to visualize interactions in order to be able to find groups that emerge when individual behaviours are aggregated. The R language and the Gephi program will be used to create the graphs.
Janderson is a data scientist and coordinator of innovation and forecasting at Natura & Co. He is a researcher at Citelab/UFF – Research Laboratory in Science, Innovation, Technology and Education and has a major in Media Studies at the Fluminense Federal University. He develops research in the area of social network analysis, focusing on methodologies for disseminating disinformation on social networking sites.