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Welcome to School of Data’s Second Steering Committee!

Cedric Lombion - October 11, 2016 in Announcement, Community

During the 2016 School of Data Summer Camp, a new Steering Committee has been elected by our members. Replacing the “transition” Steering Committee, which oversaw the transformation of School of Data into a network-driven project, the new Steering Committee is elected for 2 years, as will be future ones. Along with overseeing the budget, strategy and sustainability of the School of Data project, the new Steering Committee will oversee the formation incorporation of School of Data into a dedicated NGO.

Welcome to the new Steering Committee!

Bardhyl Jashari

Bardhyl is the director of Metamorphosis Foundation (Macedonia). His professional interests are mainly in the sphere of new technologies, media, civic activism, e-government and participation. Previously he worked as Information Program Coordinator of the Foundation Open Society – Macedonia. He is a member of the National Council for Information Society of Macedonia and National Expert for Macedonia of the UN World Summit Award.

Pavel Richter

Pavel is Chief Executive Officer at Open Knowledge International. He was Executive Director of Wikimedia Deutschland, and pioneered the internationally acclaimed Wikidata project which is now the fastest growing project for open structured data. Pavel is in on the Advisory Board of Transparency International Germany and Code for Germany. He holds a Masters Degree in Political Science, History and Constitutional Law. He worked for 12 years as a management consultant in the IT and banking industry, before he started to focus on managing non-profit organisations.

Camila Salazar

Camila is a journalist, economist and data journalism professor currently working with the data unit of the La Nacion Costa Rica. After her Fellowship, she has participated in several activities as senior Fellow, sharing her skills with the new generation of Fellows 2016 and also constantly involved in content development for School of Data.

Juan Manuel Casanueva

Juan researches and promotes ICT for Social Change projects in Latin America. He is the CEO and co-founder of SocialTIC, a non-profit that enables changemakers through the strategic use of ICTs. He was ICFJ Knight Fellow 2014-2015 focused on enabling ICT and data-driven journalism in Mexico and Central America.

Sylvia Fredriksson

Sylvia is designer and project coordinator at École de Données (School of Data France). Her work is dedicated to civil society empowerment through design and technology. She now works as a designer-researcher at the Cité du Design in Sainte-Etienne, France. She specialised in Hypermedia at Paris 8 University and regularly teach design classes.

In Latvia, a plea for citizens to push for data-driven public policy

Cedric Lombion - August 18, 2016 in Event report, Fellowship

Data is the core substance required for evidence-based policies and decision-making. “How do we make Latvia the country that makes most use of data to inform its decision-making?” was the question that Latvian MP’s and civil-society representatives tried to answer during 1,5 hours on the hot morning of July 2nd, at the occasion of the second edition of the national political festival, LAMPA.

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This festival, funded by the DOTS foundation, aims to clarify the concept of open data which is still new for Latvian law-makers, who often confuse it with public data. The discussions there serve as a good encouragement to give data to the hands of regular citizens and encourage them to participate in national, evidence-based policy making.

The roadblocks to evidence-based decision-making

None of the participants denied the importance of evidence in decision-making. Nevertheless, many alarming issues were detected. Open data, and engaging civil society in its use, was seen as one of the best short-term solutions for producing more thoughtful policy-making.

First, the State Controller, Elita Krumina, raised the issue that evidence – based on statistics, research documents and research papers – needs to be revised every year. There are many policies based on outdated evidence, even though the real situation has actually changed.

Another issue the Head of State Secretary Office, Martins Krievins, illuminated was that oftentimes decisions are made quickly and there is no time for lengthy research and data-gathering. At the same time, Krumina suggested that a great deal of research is conducted, but the benefit is small: “These papers repeat already-known principles of good governance without giving much data-driven solutions,” she explained.

The problem of trust

“The problem is, we don’t trust many evidence,” says Krievins. He gave an example of the census results: “First, everyone said that the data is incorrect because more people left the country than was counted. Then, when the state conducted an outsourced census, the first question was – whom did the hired company pay in bribes?”

Krievins said that data can be easily manipulated based on policy goals, whereas parliamentarian and experienced politician, Sergejs Dolgopolovs, said that he thinks it’s important to set goals and assess all the risks in order to make better decisions.

Later, Krievins admitted that there are many complex issues with evidence that may encourage a bad decision to be made: “Everyone realises that small schools in the countryside are expensive – the evidence is clear. Nevertheless, schools in the countryside are cultural centres for the local area, hosting many social events. There would be a broad social impact if small schools were to be closed.”

Ernests Jenavs, the founder and CEO of Edurio, an app that helps users to make evidence-based decisions in education, said that evidence should be separated from ideology: “Data should be analysed by independent people, not politically biased decision-makers,” says Jenavs. He suggested opening data, so that politically independent civil society members can suggest evidence-based solutions. Nika Aleksejeva, the Head of School of Data Latvia, agreed with this point, adding that there is a need for enhancing data-literacy in Latvian society and encouraging people to use open data.

Technology allows us to engage with society faster and more cheaply than before, agreed both Janevs and Aleksejeva.

The discussion was concluded by a unanimous message from the panel – there should be much more pressure from civil society for evidence-based decisions in government, and data should be open for everyone to be able to contribute to this decision-making.

Video (in Latvian): link


Infobox
Event name: Festival “Lampa”, discussion “How to make Latvia the greatest country of evidence based policy-making?”
Event type: Roundtable
Event theme: open data and data-driven public policy
Description: Possibilities to execute more evidence based and data-driven policies in Latvian government
Speakers: Ernests Jenavs (the founder and CEO of Edurio) Nika Aleksejeva (the Head of School of Data Latvia) Sergejs Dolgopolovs (parliamentarian), Elita Krumina (the State Controller), Ilze Vinkele (parliamentarian), Martins Krievins (Head of State Secretary Office), Valts Kalnins (The lead researcher at think-tank PROVIDUS)
Partners: NA
Location: Cesis, Latvia
Date: July 2
Audience: cycling society representatives, analysts, others
Number of attendees NA
Gender split: NA
Duration: 1 hour

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Join #MappingEcuador

Cedric Lombion - April 19, 2016 in Community

terremoto

On April 16th, a magnitude-7.8 earthquake hit the coast of Ecuador. As the victim count reached near 300 people on Sunday, the Open Data community around the globe organized to create a base map for rescue and distress relief purposes.

A lot has been done in a short time, but there is still plenty to do.

Helping remotely

You don’t need to live in Ecuador to help the volunteers: mapping can be done from wherever you are. If you don´t know how, start with this wiki document.

Open Street Maps (OSM) is just one of the tools you can use without being in Ecuador. It basically digitalizes satellite images and transforms them into an open and editable database and a map so rescue squads and people in general know where to allocate resources or avoid risks.

The OSM Task Manager prioritizes and divides the work among users so volunteer work won´t overlap. This is where to begin.

Mapping efforts are conducted by Humberto Yances (Humanitarian Open Street Map Team) and Daniel Orellana (Open Street Maps Ecuador), who launched two tutorials in Spanish yesterday, for basic and intermediate mappers. You can a tutorial in english here.

Helping when in Ecuador

If you are in Ecuador, there are other ways to help beside Open Street Maps: platform Mapa Desastre allows you to send and visualize reports on specific issues and their geographic location. You can also set GPS alerts based on their changing location. All of this data is also public and available for both the general population and humanitarian squads.

Another indispensable tool for those in Ecudaor is Google Person Finder, an online repository where you can search for missing people or send information about lost people you found yourself.

Mapillary and Open Street Map Android Tracker allow you to upload pictures of specific locations at the disaster.

To strenghten the ranks of volunteer mappers, Open Data Ecuador organized yesterday, April 18, a workshop to train volunteers to map at the Ciespal building in Quito.

This article is a translation by Gibrán Mena from an original article in Spanish published on the Escuela de Datos website.

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Applications closed for School of Data’s 2016 Fellowship

Cedric Lombion - March 11, 2016 in Announcement, Fellowship

2016 Fellowship Banner Simple-01

On February 10, School of Data started its recruitment process to find the 2016 Fellows who will be spreading data literacy around the world with our support.

The applications are now closed and we have started reviewing the applications. Proof of the growing popularity of School of Data’s Fellowship programme, more than 700 people from close to 100 different countries applied to be part of our next class of Fellows. We will make sure to review the applications through the lens of fairness and inclusiveness, two values that School of Data stands for.

A shortlist of selected applicants for each thematic focus will be interviewed by members of the School of Data coordination team along with our partners for the 2016 Fellowship, Internews, NRGI and the Engine Room. The final results will be announced shortly before April 1st, which marks the official start of the 2016 Fellowship.

Thank you to everyone who applied or helped spread the word!

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New Data Journalism Academy in South Africa embodies ‘living laboratory’ training model

Cedric Lombion - March 10, 2016 in Announcement, Community

What does it take to convince thinly stretched, understaffed newsrooms to release experienced reporters for three months to attend a data journalism program — and pay for the privilege, too? This was one of the biggest hurdles we had to overcome when planning for Code for South Africa’s new data journalism academy, which opened its doors in Cape Town on February 1.

academy

Happily, the first cohort has attracted seven experienced journalists from some of South Africa’s largest mainstream media outlets, as well as a journalism master’s student who was awarded a subsidized place. There is already interest from media in sending staff for the next cohort, and the plan is to do three annual courses of eight to 10 people over the next three years. The academy is supported by Code for Africa, Indigo Trust, the International Center for Journalists, Omidyar Network and School of Data.

The key that unlocked the doors to newsrooms is that everything the reporters produce will be fed back to – and owned by – their media houses to publish, sell or syndicate as they see fit. So, far from being lost to the newsroom, these reporters will remain productive and part of the newsroom.

The program consists of two weeks’ intensive training in the various steps in the data pipeline. Then participants will spend a further 10 weeks producing content as they use their newly learned skills working in a data newsroom alongside experienced data journalists, coders, wranglers and analysts.

We are planning to get our open-source curriculum certified by the South African Qualifications Agency — a long and arduous exercise — so that graduates will receive an officially recognized qualification. Equally important is that media houses will then be able to recoup a percentage of what they pay for training from the government authority that deals with industry skills and standards.

We have also begun a program of teaching trainers to deliver stand-alone modules of the curriculum to newsrooms in other parts of the country. This will help inculcate a culture of data-driven storytelling and provide a source of revenue for the academy.

Launching the academy is an important part of my work as an ICFJ Knight International Journalism Fellow helping to drive an Africa-wide initiative aimed at improving the lives of Africans through data journalism and civic innovation.

But it has been a hard sell. As head of the school, it was my task to convince hard-pressed editors and news editors, their newsrooms straining under budget and staff cuts and juniorization, that this was an investment worth making.

The academy was born out of a search for a program to complement journalism bootcamps where journalists who participate are afterward quickly drawn back into the grind of the daily news cycle and often not given the time or space to practice and develop their newly learned data skills.

We realized that to make a systemic change, we needed to seek innovative solutions. The answer, we believe, lies in creating a working environment where journalists could continue learning on the job while remaining productive and contributing to their newsrooms.

But the academy is about more than just training. It’s also a center for innovation where we can experiment and try out new and different ways of storytelling and reader engagement. The hard truth is that unless data journalism becomes a source of revenue, it will continue to be confined to bigger, better resourced media outlets with the work being done by small, specialized units working on the fringe of newsrooms.

So we will also use the academy’s newsroom as a living laboratory to experiment with different revenue models as we seek to make a business case for data journalism.

“The academy and the newsroom are one and the same, with the newsroom offering practical experience for journalists involved in the academy’s training program,” says Adi Eyal, director of Code for South Africa.

“We see every story as potentially an opportunity to innovate,” he said. “Just like we did with the award-winning Living on the Edge and the associated Living Wage tool, which pushed the envelope in the South African context with its convergence of different elements of storytelling, we see the academy as opening new opportunities to experiment. We want to explore and try new things that participants in the academy can feed back into their newsrooms and help push the industry forward.”

Code for South Africa created a Storify for more information. Check it out here.

Post originally published on the IJNET blog on 11 February 2016 and on the Code for South Africa blog on 12 February 2016.

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An Open Data Hackaton for School of Data Latvia

Cedric Lombion - March 10, 2016 in Announcement, Event report

Data Journalism has long been in the mind of Latvian journalists, but a lack of money and time has kept it from becoming an integral part of a newsroom daily life. It’s time to change it.

The Baltic Investigative Journalism Center “Re:Baltica” and Open Data Latvia joined forces to run an Open Data Hackathon on March 5th, with the goal of pushing journalists, civic activists and programmers to “hack” publicly available data together. This is at this occasion that School of Data Latvia launched, with the goal of sustaining the sparks of synergy between “techies” and “journos”.

IMG_1653

“This is the first major attempt to scale Data Journalism concept across Latvian newsrooms,” tells Nika Aleksejeva, the Head of School of Data Latvia. “Before there were a few investigations conducted by Re:Baltica that involved a heavy data analysis, but it was very rarely done by any regular newsroom. The common myth about Data Journalism here is that it’s something time consuming, expensive and requires special skills. After almost three years working with data journalists and trainers globally, I can assure, it’s not the case anymore. Media technology has evolved. Now data extraction, cleaning, analysis and visualization can be done by a regular person or in collaboration with skillful people. School of Data Latvia is here to show it to local journalists and civic activists.”

The hackathon participants were expected to produce a data-driven news headline, a visualization or an interactive application allowing the exploration of public data from a different perspective. As a result five data visualizations and two online tools were created.

DSC_0092

After a vote by the presents, a project that helped extracting data about public officials in digestible way was announced to be the best. Other projects covered topics like parliament deputy voting patterns, companies that win the most of Riga municipality tenders, offshore companies, foreign investment real estate deals, queues to doctors and how the amount of social budget can impact birth rate in Latvian regions.

“This is a great case study to show that the core of a data-driven story can be developed in a day,” comments Nika Aleksejeva.

The projects will be finished to get published on national media outlets and presented at the annual Latvian Journalism Conference on March 19.

The hackathon was supported by Infogr.am, Delfi.lv and Open Knowledge. See the images and watch the video, available with English subtitles.

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The Easy Guide to Mobile Data Collection

Cedric Lombion - February 15, 2016 in Announcement, Fellowship

staff

Since the advent of the cheap smartphone, these devices have been used for an impressive range of purposes, from detecting illegal logging in rainforests to the creation of detailed maps of cities around the world. Everywhere, civil society organisations and other movements are mapping their local areas, whether that be recording the locations of homeless people, answering the question of where to install recycling centres or where stagnant water poses a risk of mosquito proliferation. There is huge potential for strengthening the methodology of these initiatives through mobile data collection.

The guide

But where to start? Until recently, there was no beginner-friendly guide covering the methodology of setting up a mobile data collection project. So we got to work, and as part of the final project of the School of Data fellowship of Nirab Pudasaini, lead developer at Kathmandu Living Labs, we can now proudly present The Easy Guide to Mobile Data Collection.

To make understanding the whole process as simple as possible, we divided the guide according to the four key roles which we identified as vital to a mobile data collection project: Project Manager, Survey Designer, Trainer and Data Manager (a single person can be all of them!). Next, we integrated Nirab Pudasaini’s years of field experience; Nirab is currently working on several mobile data collection projects as part of the efforts to rebuild the city of Kathmandu.

An accessible methodology for civil society advocates

This guide is first and foremost about methodology. While heading for the streets with a smartphone and an application might seem easy, a lot of problems can crop up as soon as the project becomes a little bit ambitious. How do you avoid mistakes when entering data in the form? How do you make sure the people in the field don’t get stuck with a software problem? What are the different threats to the quality of the data?

We believe that this guide will be especially useful for civil society organisations or movements wanting to launch mobile data collection projects. While the guide itself doesn’t include details about the sofware, the +Resources page of the dedicated website lists the learning content produced by School of Data. For now, all of it comes from another amazing 2015 School of Data fellow, Sheena Carmel Opulencia-Calub, who has developed a full course around the software suite Kobo Toolbox. Yes, we had great fellows in 2015!

An evolving project

As is the case with all School of Data projects, the guide is fully open-source. We encourage you to send us feedback and file issues if you believe that something could be improved. We have set up a Transifex project as well, allowing anyone to start translating the guide into their language. And finally, we’ll be adding new resources to the guide’s website as soon as we produce more of them.

Enjoy!

download_mdc

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Apply Now for School of Data’s 2016 Fellowship

Cedric Lombion - February 10, 2016 in Announcement, Fellowship

Update: Applications are now closed! The results will be announced a few days before the official start date of the Fellowship, April 1st. Read More

 

School of Data is inviting journalists, civil society advocates and anyone interested in pushing data literacy forward to apply for its 2016 Fellowship Programme, which will run from April to December 2016. Up to 10 positions are open, with an application deadline set on March 10, 2016.

Fellowships are nine-month placements with School of Data for data-literacy practitioners or enthusiasts. During this time, fellows work alongside School of Data to build an individual programme that will make use of both the collective experience of School of Data’s network to help fellow gain new skills, and the knowledge that fellows bring along with them, be it about a topic, a community or specific data literacy challenges.

As part of this fellowship, our shared aim will be to increase awareness of data literacy and build communities who together, can use data literacy skills to make the change they want to see in the world.

A thematic fellowship

In order to focus the training and learning experience the 2016 School of Data Fellows receive, the School of Data Fellowship Programme is taking a thematic approach. As a result, we will be prioritising candidates who:
* possess experience in, and enthusiasm for, a specific area of data literacy training
* can demonstrate links with an organisation practising in this defined area and/or links with an established network operating in the field

We are looking for engaged individuals who already have in-depth knowledge of a given sector and that they will have been reflecting on the data literacy challenges faced in the field. This will help fellows get off to a running start and achieve the most during their time with School of Data: nine months fly by!

Furthermore, we have already partnered with organisations willing to support fellows interested in working on the following themes: Data Journalism, Extractives Data and Responsible Data. These amazing partner organisations will provide fellows with guidance, mentorship and expertise in their respective domains.

 

Learn more about the thematic focus

 

9 months to make an impact

The Fellowship will run from April to December 2016, and it entails 10 days a month of fellows’ time to work both offline with their local community carrying out trainings, supporting them on data-driven projects, and meeting their data needs on a flexible basis, as well as online with the global network, sharing learning via online skill-shares, blog posts and contributing to our online learning materials. Fellows will receive a monthly stipend of $1,000 USD a month to cover for their work.

In May, the fellows will come together for an in-person Summer Camp (location to be decided) to meet their peers, share their skills, and learn about the School of Data way of training people on data skills.

What are you waiting for?

 

Read more about School of Data’s fellowship

 

Key Information

  • Available positions: up to 10 fellows, with 5 slots reserved for Data Journalism, Extractives Data and Responsible Data applications. Learn more.
  • Application deadline: March 10, 2016, midnight GMT-11
  • Duration: From April 1st, 2016 to December 31st, 2016
  • Level of activity: 10 days per month
  • Stipend: $1000 USD per month

 

Key links

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Improve Your Data Literacy: 16 Blogs to Follow in 2016

Cedric Lombion - January 22, 2016 in Uncategorized

Learning data literacy is a never-ending process. Going to workshops and hands-on practice are important, but to really become acquainted with the “culture” of data literacy, you’ll have to do a lot of reading. Don’t worry, we’ve got your back: below is a curated list of 16 blogs to follow in 2016 if you want to: improve your data-visualisation skills; see the best examples of data journalism; discover the methodology behind the best data-driven projects; and pick-up some essential tips for working with data.

Using Feedly as your RSS Reader? Check out our shared collection which includes the blogs mentioned below plus other blogs!

#Datavisualisation

Data Viz Done Right

This website, by Andy Kriebel, curates good examples of dataviz around the web, highlighting what was great, and also what could have been done better. Each post is quick and easy to read, and they add up to form a set of good practices to keep in mind when doing a data-visualisation.

Website link: http://www.datavizdoneright.com/

Frequency: 1 article/week

Flowing Data

Flowing Data is Nathan Yau’s full-time job, and it shows. Regularly updated with great original or curated content about data-visualisation, this blog is a good way to keep track of the major trends and events in the field. Other sections of the website feature tutorials for purchase and guides.

Website link: http://flowingdata.com

Twitter: @flowingdata

Frequency: 9 articles/week

Google Maps Mania

Do you like maps? Everybody likes maps. Managed by map-addict Keir Clarke for more than 10 years, this blog is the go-to resource for following the development of digital cartography. Don’t be fooled by the name, all digital maps are featured, not only Google ones.

Website link: http://googlemapsmania.blogspot.co.za/

Twitter: @gmapsmania

Frequency: 24 articles/week

Junk Charts

Prominent data-visualisation expert Kaiser Fung set out to become the web’s first data-visualisation critic. The result is a website which regularly deconstructs dataviz work, even from top publications, often proposing an alternative visualisation. The articles on Junk Charts regularly make ripples through the web, attracting praise, criticism, but most importantly, prompting discussion.

Website link: http://junkcharts.typepad.com/

Twitter: @junkcharts

Frequency: 2 articles/week

Visual Loop

Visual Loop is the ultimate datavisualisation web repository. Founded as simple blog in 2010 by Tiago Veloso, it grew to become the most active and up-to-date curation space for datavisualisation, in all formats. Featuring interviews with designers along with event announcements, this is the blog to follow to get inspiration.

Website link: http://visualoop.com/

Twitter: @visualoop

Frequency: 3 articles/week

#Data In the News

FiveThirtyEight

Rather than simply having data journalists, FiveThirtyEight is data journalism. Founded by Nate Silver, a renowned statistician who reached stardom after predicting the 2008 and 2012 elections while blogging for the New York Times, FiveThirtyEight represents the boldest attempt to do pure data journalism. It works remarkably well, and is an inspiration for all data journalists, seasoned and aspiring ones alike.

Website link: https://fivethirtyeight.com/

Twitter: @FiveThirtyEight

Frequency: 40 articles/week

NYT – The Upshot

Website link: http://www.nytimes.com/upshot/

Twitter: @UpshotNYT

Frequency: 21 articles/week

After the departure of Nate Silver, the New York Times decided to aim even higher by starting The Upshot, a data journalism corner dedicated to politics, policy and economic analysis. It’s an ambitious and high-quality take on data journalism, with approachable articles on social issues (politics, nutrition…) mixed with innovative interactive data-visualisations.

Washington Post Information Graphics

The Washing Post Information Graphics blog is an unadulterated look at the data journalism articles produced by the « WaPo ». It is not only a great source of inspiration for anyone interested in dataviz, but a great source of quality articles, without all the fluff of the main website.

Website link: http://postgraphics.tumblr.com/

Twitter: @PostGraphics

Frequency: 4 articles/week

Understanding Uncertainty

David Spiegelhalter is the maestro behind this ever-useful website, which regularly takes on news articles (but not exclusively) which make a bad job of reporting on the risk/probability/chance of something happening. It is a great read to cut through sensationalist claims, as well as a source of examples on how to deal with uncertainty in reporting.

Website link: http://understandinguncertainty.org/

Frequency: Less than 1 article/week

Global Journalism Investigative Network

The GJIN, as a whole, is an extensive resource for journalists, but their series of curated top 10 data journalism links of the week is a great way of tracking the « #ddj” articles or news that made the rounds on Twitter for any particular week.

Website link: http://gijn.org/series/top-10-data-journalism-links/

Twitter: @gijn

Frequency: 1 article/week

#Behind The Scenes

NPR Visuals Team Blog

A nerdier pick than the rest of the selection, the NPR Visual Teams blog is still an amazing place to see the methodology behind outstanding data journalism projects. Additionally, the NPR Team maintains several open source tools for data journalism which are described on the blog.

Website link: http://blog.apps.npr.org/

Twitter: @nprviz

Frequency: Less than 1 article/week

Source

No less nerdy than the NPR blog, the Source blog (a Mozilla/Open News project) is more varied in its content, thanks to regular blog posts by top data journalists from a wide variety of newsrooms. Alternating behind-the-scenes articles, guides, tutorials and event round-ups, this blog is a must-have in the RSS reader of every data journalist.

Website link: https://source.opennews.org

Twitter: @source

Frequency: 2 articles/week

Storybench

Storybench is a collaboration between the Media Innovation track at Northeastern University’s School of Journalism and Esquire magazine. A relative newcomer in the sphere of data journalism blogs, it features high quality articles, providing an « under the hood » look at examples of digital journalism, accompanied by interviews with the journalists who make them.

Website link: http://www.storybench.org/

Twitter: @storybench

Frequency: 2 articles/week

#Learning to work with Data

Chandoo

Data journalists love spreadsheets. And why wouldn’t they? They’re so flexible! Chandoo.org is the place to go if you want to maximise this potential flexibility, or just pick some nice tricks that will make your work faster. Chandon focuses on Excel, but thankfully most of the tricks of use to data journalists will be available in other, similar software.

Website link: http://chandoo.org/wp/

Twitter: @r1c1

Frequency: 2 articles/week

HelpMeViz

HelpMeViz’s tagline is « helping people with everyday data visualization ». Whilst submitting your dataviz issue to the community can be really helpful, the real value of the website is in the aggregation of all the posts, each representing a small dataviz challenge. If you ever wondered in how many ways you could tackle a data-visualisation problem, HelpMeViz is there for inspiration.

Website link: http://helpmeviz.com/

Twitter: @HelpMeViz

Frequency: Less than 1 article/week

Journalist’s Resource

The Journalist’s Resource tackles a niche aspect of data literacy: understanding research papers. Mixing regular round-ups of research around specific topics with quality guides about understanding research terms or working with numbers (check out their amazing tip sheets), this blog from the Shorenstein Center of Harvard Kennedy School is a resource all journalists (and especially North American ones) should follow.

Website link: http://journalistsresource.org/

Frequency: 6 articles/week

Do you believe that some obvious blogs are missing? Tweet them to us at @Schoolofdata or on Facebook. And check out our Feedly shared collection, which includes more than the blogs mentioned above!

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Why does School of Data have a Summer Camp?

Cedric Lombion - September 2, 2015 in Community, Fellowship

We’re now starting the second half of the fellowship and our fellows have been doing an amazing work in their respective countries. Even though the fellowship formally started in April, the real work began after the annual meeting of our network, the School of Data Summercamp. The event was an occasion for the fellows to meet, discuss, receive feedback on their early ideas and plan concretely their future actions.

Each Summercamp is an occasion to get a lot of work done and to take decisions that need a lot of group thinking and debate. This is what happened again this year, as we explained in the article about the future of school of Data. But it is also a great occasion to exchange and have fun together, which helps creates bonds that might not be there otherwise.

All of this is summed up in the testimonies of the fellows and the coordination team members that are shown in this video. Enjoy!

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