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Data Expedition story: Why garment retailers need to do more in Bangladesh

June 4, 2013 in School of Data

This post is cross-posted from the School of Data blog

On May 25-26 almost 50 participants from several teams set out on a data expedition to map the garment factories. This is a report from the team comprised of Roy Keyes, Naomi Colvin, Sybern, Bhanupriya Rao and Daniela Mattern. The team used a crowdsourced database on garment factories to expose questionable standards and highlight the need for open supplier lists from all retailers. The article concludes that major retailers like Wal-Mart maintains high levels of opacity around their supply chain and audit standards, which are detrimental to improving working standards in the garment industry.

Not the first time! When the Rana Plaza collapsed killing 1127 people and injuring over 2500 people of its 5000 workforce, it shocked the world and shone an instant light on the working conditions of the garment factories in Bangladesh. While it may have been the worst disaster of our times, it is my no means the first in Bangladesh, where fire due to faulty electrics and short-circuits or building collapses due to structural and maintenance issues are commonplace. Just 8 days later, another fire broke out in one of the Tung Hai group factory killing 8 people. The fire in Tazreen garment factory in November 2012, which killed 100 people should have acted as a wake up call to take health and safety issues seriously. But all it did was lull the government, retailers and the Bangladesh Garment Manufacturers and Exporters Association (BGMEA) into deeper slumber after dubbing it as arson.

Holier-than-thou? The Rana Plaza tragedy seemed like a rude awakening, one that shone a spotlight on the appalling conditions that Human Rights Watch and others have warned about for many years in sweat shops. There was an instant rush by Western retailers who source a major chunk of their ready-made garments from Bangladesh, to appear to be doing the right thing: to be holier-than-thou. Wal-Mart was quick to release a list of 250 factories that it blacklisted from its supplier list in what appears to be a PR exercise, without any transparency around their audit findings or the exact reasons for the blacklist except for a vague statement that the ‘violations could relate to safety issues, social issues, unauthorized subcontracting or other requirements established by our set of Standards for Suppliers. Suffice it to say that, H&M still sources from eleven and Van-Gruppen from two of the factories. In the absence of transparent data on their methods of audit and their findings, simply blacklisting of companies is not very helpful. Wal-Mart’s blacklist consists of large textile groups such as Akh Fashions, Hop Lun and Mohammadi Group that that own several factories and supply to several big western retailers. MJ Group – whose subsidiary, Columbia Garments, is on the Wal-Mart list – lists Replay, New Yorker, C&A, Espirit, GAP, Old Navy and Macys alongside H&M as customers on its website.

Sustainability and Ethical codes The essential point being missed in the rush to appear holier-than-thou is the compliance with ethical standards initiatives that rely largely on a multi-stake holder model. Worldwide Responsible Accredited Production (WRAP) is one such accreditation initiative which has released a list of 194 factories in Bangladesh that meets its standards. That these certified factories constitute a mere 3% of all factories in Bangladesh gives us an insight into how far the industry has to go as far as certification is concerned. Interestingly, 22 of the Wal-Mart blacklisted factories feature on this list. While Wal-Mart was quick to disclose a blacklist in a bid to appear responsible, it would do well to disclose all its suppliers in the interests of transparency and responsible sourcing.

H&M has been much more transparent here, not just disclosing a list of its worldwide suppliers, but also spelling out its stringent audit policy. Only one H&M factory was both WRAP certified and on Wal-Mart blacklist. And the story is a bit more encouraging because 15% of H&M’s suppliers in Bangladesh are WRAP accredited. Brands like Puma (10%) and Varner-Gruppen (15%) show some good signs of sourcing from accredited suppliers as opposed to Timberland and Nike, none of whose suppliers are WRAP accredited. While by no means adequate, it does show that some retailers are better at sourcing ethically than the others.

Table: Which retailers use WRAP Certified factories?

Retailer

Factories

in Bangladesh

WRAP Certified

Retailer % WRAP Certified

H&M

164

24

15

Levi’s

13

1

8

Nike

6

0

0

Puma

10

1

10

Timerland

5

0

0

Varner-Gruppen

46

7

15

Source: Crowdsourced garment factory list
The blacklist from Wal-Mart is pretty rich considering that along with Gap it has refused to sign the Accord on Fire and Building Safety in Bangladesh, instead preferring to rely on their own codes and audits. H&M was the first retailer, followed by 31 others, to sign the agreement which includes provisions for independent safety inspections, mandatory repairs and renovations and a commitment to pay for them and a role for workers and their unions to make garment factories safe in Bangladesh safe. The accord is a watershed moment for the reason that it is a multilateral initiative driven by retailers, global unions IndustriALL and UNI, in alliance with Clean Clothes Campaign and Worker Rights Consortium.

It certainly could be the last! In the aftermath of the Wal-Mart blacklist, other retailers like H&M have rushed in to rethink their sourcing policy and look at new supply chains in Africa and Latin America. While any rethink is welcome, it needs to be in the area of more responsible auditing, greater transparency in supply chains, not just of primary suppliers, but secondary ones where there is astounding opacity. What would be a great step forward for western retailers like H&M is to make public their factory wise audit findings for greater accountability. Simply moving supply chains and tolerating the same conditions will not see the end of tragedies such as the Rana Plaza. There needs to be timely and better audit data as well as supplier data down to the last in the supply chain as well as greater commitment to multi-stakeholder processes such as the Fire safety accord. This could be the beginning of a long-term political engagement on workers safety and better wage and working conditions. This also means that Rana Plaza could be the last in the list of terrible tragedies.

Data Expedition: Tax Avoidance and Evasion – 6th June

May 24, 2013 in Open Spending, School of Data, Spending Stories

Tax expedition

Want to dig deep into tax avoidance and evasion? We have gathered a wide range of data on this sensitive topic and for one afternoon we’ll guide you through some of the key decisions to think about when writing a story on the topics. With tax evasion and tax avoidance currently such a hot topic in the media, it’s crucial that people can understand the difference between the two terms as well as the mechanisms by which they happen.

When: Thursday June 6th – 12:00 BST to 17:00 BST – link to your timezone

We’ll be looking for projects such as:

  • Exploring the tax avoidance schemes used by Apple, Google, Amazon, or Starbucks

  • Looking at data gathered by tax collection authorities and patterns of avoidance that emerge from that dataset

  • Creating a “most wanted” list tax evaders for future research

  • Your project here!

Sign up here for the Data Expedition!

Please note that limited space is available. For more information about the Data Expedition format, we encourage you to read this article.

How can I participate?

To get involved either:

  • Lead a team! (Up to 6 hours) Are you able to help to coordinate a team on the day? This involves, helping your team to understand the options and research that has been conducted and starting a discussion about the choice of story and how to construct a plan for making the story happen. The School of Data team will hold a specific hangout for team leads on Monday 3rd June at 12:00 BST to prepare for Thursday’s activities. Please email schoolofdata [at] okfn.org if you are interested in getting involved.

  • Offer an expert introduction! (Up to one hour) We’re looking for experts who understand the loopholes or tactics used by companies in different countries to offer quick introductions from 5-30 mins long to get the expedition started.

  • Join us as a participant on the day! (3-6 hours) You will need to be prepared to brainstorm ideas with others in your group and ultimately explain your choice of story. There will be two roles you can take on the day – either getting stuck into the data (analyst) or writing (storyteller).

Aims of the expedition

We will aim to give people:

  • A clear understanding of the difference between tax evasion and tax avoidance
  • An key understanding of a few schemes via which people engage in them
  • Perhaps also a few story ideas!

How to get involved

Please make sure you are registered here and that you select “Tax Avoidance/Evasion” in the “I’m Interested in…” section. Please note: you will need to be available for at least 3 hours during the expedition period and spaces will be limited, so preference will be given to those who can definitely commit to the expedition. Spaces will be confirmed shortly before the expedition.

Stay up to date with the latest data expeditions

Want to be informed any time there is a new data expedition? Join the School of Data announcement list to get notifications of the expeditions as soon as they are announced!

Data Expedition: Mapping the garment factories

May 20, 2013 in Events, School of Data

Women sewing at long tables next to tall windows in a garment factory.

The horrific factory collapse at Rana Plaza in Dhaka has brought the business practices of global garment brands, as well their thousands of suppliers, into the spotlight.

At School of Data we noted that corrupt and missing data were part of the story. Data on building permits in Bangladesh is largely unavailable due to lack of state inspections. However, after years of pressure on global apparel brands from labor activists, the publishing of garment factory supplier lists is becoming increasingly standardized. We’re asking you to join us in mapping the data on garment factories.

Data Expedition: Mapping the garment factories 

When: Saturday May 25 – 12:00 BST to May 26 18:00 BST - link to your timezone

We’ll be looking for projects such as:

  • Mapping garment factories locally and globally

  • Exploring the global supply chain of garment export and imports

  • Mapping the ownership of local factories and global brands with open company data

  • Finding stories and patterns in the connections between global brands and local garment factories

Sign up here for the Data Expedition!

Please note that limited space is available. For more information about the Data Expedition format, we encourage you to read this article.

Before the Data Expedition – Help us build an open garment factory supply list

Before heading out on this important expedition, we’ll need to gather as much data as possible on garment factories. Labor activists and campaigners typically articulate the data in terms of ”supplier lists.” Some brands, such as Nike, provide a list of all factories in their supplier network via Excel and JSON downloads; while others, such as Levi-Strauss, only offer lists in PDF format. In order to prepare a solid dataset for the Data Expedition, we’re asking you to help locate, clean, and merge the supplier lists from across garment brands into one comprehensive Open Garment Factory List.

Begin today by adding to the Open Garment Factory List and join us for a GoogleHangout on Thursday, 23 May at 19:00 CET, where we’ll be engaging in joint data collection.

We’re Hiring! School of Data seeks Workshop and Project Coordinator

April 25, 2013 in Join us, School of Data

School of Data is hiring a Workshop and Project Coordinator! See below for details about the role and how to apply.

About School of Data

School of Data works to empower civil society organizations, journalists and citizens with the skills they need to use data effectively in their efforts to create fairer and more sustainable societies.

Audience

School of Data focuses on supporting and working with:

  • Data-oriented staff at NGOs & NGOs (as a whole)
  • Potential or actual data-journalists
  • “data geeks who care”

Fundamentally, we care most about people who use data “for good”. While we work globally, we have a particular focus at the present on Latin America and Africa.

About the role

Duties are negotiable, but projected to include tasks such as:

  • Representing the School of Data Project and its various projects and activities at events around the world
  • Working with and supporting our local partners
  • Taking charge of the communications and outreach
  • Organising and facilitating events, workshops and training
  • Soliciting for guest tutorials and blog posts for the school of data blog
  • Writing posts and copy for the website
  • Building the School of Data network around the world, starting in Latin America and Africa school of data logo
  • Developing processes and systems to help support local School of Data Initiatives, including handbooks and governance structures
  • Doing unexpected stuff spontaneously!

This role sits within the Knowledge unit of the the Open Knowledge Foundation.

Person specification

We are looking for someone self-driven, organised and a good communicator. This person should be comfortable running a number of projects at the same time, speaking at events and travelling – sometimes at short notice. We need a gregarious, tech-translator, who can empathise with the needs of NGOs, journalists and engaged citizens and translate the tech to human in order to allow them to start learning.

Experience in working in data-driven projects is essential, and topics such as government spending, procurement, extractive industries etc would be especially welcome.

Candidates with a background in online community management, facilitation or campaigning will be looked upon favourably. Grant-writing, project management and contract-handling experience will be valued.

Location

We will consider applicants based anywhere in the world; however a mild preference is given to those close to one of our hubs in London, Berlin or Cambridge.

Pay & closing date

The rate is negotiable based on experience. This full-time position is available immediately. The closing date for applications is 15th May 2013.

How to apply

To apply please send a cover letter highlighting relevant experience, your CV and a 30-second video explaining your interest in the role to jobs@okfn.org.

Data Explorer Mission on Carbon Data

April 11, 2013 in Open Science, School of Data, WG Sustainability

Sign up now for next week’s Data Explorer Mission on Carbon Emissions Data, a pilot initiative of our School of Data and P2PU, to help people explore a topic, while at the same time building their data skills through experimentation and doing.

8364602336_facaa10cdf_oImage CC-By-SA J Brew on Flickr

At the School of Data, we teach in two ways.

1) By producing materials to help people tackle working with data and 2) By running Data Expeditions – where learners tackle a problem, answer a question or work on a project together, learning from one another as they get hands on with real data.

It’s come to our attention, that sometimes, it’s handy to combine the two – handing people materials to tackle the challenges they are likely to encounter along the way. The Data Explorer Mission is like a data expedition with one crucial difference: your guide is a robot…

Read on to learn more…

Your Mission: Tell Stories with Carbon Data

Learn how to tinker with, refine and tell a story with data in this 4-week course. Each week you’ll be commissioned to work with others on a project that will hone your data-wrangling skills. Lessons will be pulled from Open Knowledge Foundation and Tactical Tech with help from Peer 2 Peer University. At the end of the course, you will have finessed, wrangled, cleaned and visualized a data set and shared it with the world.

What to Expect

The course will run April 15 to May 3, and each week your team will receive weekly “Missions” from Mission Control over email. You’ll work together on those projects, including a 30-minute Google Hangout each week. Each “Mission” will lead up to your final project. For each skill you master in the course, you can earn a Badge to show your mastery and to get feedback to further your talents.

The Topic

Carbon Emissions. Don’t worry if you don’t know anything about them at the moment, you don’t need to be a topic expert and the data skills you will learn will be very transferrable to other areas!

The Level

No prior experience is required, we’ll cover spreadsheets and working with data. If you’re more advanced, you are also welcome to join us to hone your skills, and the only limit on what you can learn is your imagination – so if you’re prepared to push yourselves on the project front the data-skills-bucket is your oyster!

About Mission Control

Normally – Data Expeditions are guided by a human sherpa, in this course, we’re weaving School of Data course material with a robot sherpa to help guide participants through the phases of the expedition. You’ll need to listen out for Mission Control’s instructions to guide you through the phases, keep timing and look out for handy tips, but organising your team is up to your group…

Sign up by completing the form below!

Announcing the School of Data Journalism 2013 in Perugia

March 20, 2013 in Events, School of Data, Workshop

Update 21 March: To register for the School of Data Journalism workshops please fill in your name and email address in this form.

Cross-posted on journalismfestival.com and the OKFN blog.

The European Journalism Centre and the Open Knowledge Foundation are pleased to invite you to Europe’s biggest data journalism event, the School of Data Journalism.

The 2nd edition of the School of Data Journalism is kindly hosted at the International Journalism Festival. Last year’s edition attracted hundreds of journalists and featured a stellar team of panelists and instructors from the New York Times, the Guardian, Deutsche Welle, Duke University, Walter Cronkite School of Journalism and ProPublica. This year we return with a leading team of about 20 new and returning panelists and instructors from Reuters, New York Times, Spiegel, Guardian, Walter Cronkite School of Journalism, Knight-Mozilla OpenNews and others, and a mix of discussions and hands-on sessions focusing on everything from cross-border data-driven investigative journalism, to emergency reporting and using Excel, the Twitter API, data visualisation and maps for journalism.

The 2013 edition takes place in the beautiful city of Perugia between 24-28 April. Entry to the School of Data Journalism panels and workshops is free.

school_bus_perugia_1.jpg

PANEL DISCUSSIONS

 

1. The State of Data Journalism in 2013 (24 April)

2. Data and Investigations: Collaborating Across Borders (25 April)

3. Data Journalism in Southern European Countries (26 April, co-organised with Ahref and datajournalism.it)

4. Covering Emergencies in the Age of Big Data (27 April)

Speakers:

  • Anthony de Rosa, Social Media Editor, Reuters
  • Aron Pilhofer, Editor of Interactive News, New York Times
  • Dan Sinker, Director, Knight-Mozilla OpenNews
  • Elisabetta Tola, co-founder Formicablu, data journalism trainer
  • Friedrich Lindenberg, OpenNews Fellow, Spiegel Online
  • Guido Romeo, Science Editor, Wired Italy, Ahref
  • Jack Thurston, writer, broadcaster and co-founder of Farmsubsidy.org and Fishsubsidy.org
  • James Ball, data journalist, Guardian
  • Mar Cabra, multimedia investigative journalist
  • Marko Rakar, president of Windmill, blogger and data journalist
  • Paul Radu, Executive Director of the Organized Crime and Corruption Reporting  Project, Co-founder of the Investigative Dashboard concept

Moderators:

  • Guido Romeo, Science Editor, Wired Italy, Ahref
  • Liliana Bounegru, Project lead Data Driven Journalism, European Journalism Centre
  • Lucy Chambers, Head of Knowledge, Open Knowledge Foundation
  • Rina Tsubaki, Project lead Emergency Journalism, European Journalism Centre


WORKSHOPS

 

1. Excel for Journalism with Steve Doig  (24 April)

2. Using the Twitter API for Journalism (25 April)

3. Making Data Visualisations: A Survival Guide (26 April)

4. Data Visualisation, Maps and Timelines on a Shoestring (27 April)

Instructors:

  • Steve Doig, Knight Chair in Journalism, Professor, Walter Cronkite School of Journalism
  • Michael Bauer, School of Data, Open Knowledge Foundation
  • Gregor Aisch, award-winning freelance data visualisation expert

The full description of the sessions can be found on the International Journalism Festival website.

How to register

There is no fee to attend the workshops but there is a limited number of available seats and they will be given out on a first-come first-served basis.More information about the registration process for the four workshops will be available in the coming days. Registration is not necessary for attending the panel discussions.

What do you need to bring?

Enthusiasm and a laptop are required for the workshop sessions. Please note for hands-on workshops tablet devices will not be appropriate.

Questions?

If you have questions about the School of Data Journalism get in touch with the coordinators: Liliana Bounegru or Lucy Chambers.

 

Tony Hirst joins the School of Data

March 11, 2013 in OKF, School of Data

We’d like to extend a really warm welcome to Tony Hirst, who’s joining the School of Data as a Data Storyteller.

Tony will be working part time for the School of Data in shaping the materials, masterminding the blog and running workshops. He’ll also be out and about on site visits to learn more about how organisations use data “in the wild” to help build on and shape the courses.

When he’s not with us, he’s a Lecturer in the Department of Communication and Systems at The Open University, Visiting Senior Fellow in Networked Teaching and Learning at the University of Lincoln, and regular blogger at OUseful.info.

With a background in electronics and artificial intelligence, he has authored on OU courses ranging from robotics to information skills, and most recently a course on computer game design and appreciation. He is passionate about open and lifelong education, and is actively involved in developing course models to support informal as well as formal education.

Tony says:

“As a keen fan of open data, I’m delighted to be joining the Open Knowledge Foundation and contributing to its mission of promoting the use and reuse of open data. From talking to others, and working with data myself, I recognise there are still many challenges to be faced when working with data, discovering the stories hidden therein, and telling those stories on. Through working with initiatives such as the School Of Data I’m looking forward to helping widen engagement with, and the exploration of, open public data sources across the world, with the aim of making open data accessible to as wide a community as possible.”

If you’d like to chat with Tony, the best way to get in touch is through Twitter, on @psychemedia

Data Expeditions at MozFest

November 14, 2012 in Featured, School of Data, Spending Stories, Workshop

Expeditions into the Data Landscape: the School of Data goes to #MozFest. Find out what happened at MozFest – and see the tools and data sets to recreate it yourself!

Saturday morning at MozFest. A sold out building, full of a thousand hackers, builders, makers, geeks, journalists, thinkers and more. And right at the top on the 9th floor? Three ‘data sherpers’ in sparkly cloaks…

Data Expeditions

The concept behind the ‘Data Expeditions’ run by the School of Data at this year’s MozFest was simple. Based on the ‘Dungeons and Dragons’ role-playing game, data explorers would tackle real world problems together, developing their data wrangling skills in the process.

As a first step, explorers were asked to rate their abilities. Can you tell a story? analyse data? code? tweet? draw? The emphasis was on ‘doing’, but not in any narrow sense – often, it’s the data newbie asking a ‘stupid question’ that sets the team on a fresh track, and becomes the biggest contribution of the day.

Next came the quests. Three Data Sherpas (still sparkling) set out three missions: delving into the data surrounding extractive industries and oil mines; exploring possible causes for a dramatic plummet in life expectancy in central Africa; and burrowing into the grimy world of tax havens.

The explorers divided, the sherpers guided – and the quests began!

Quest 1: Mining the Mines

The discovery of oil or natural resources in a country and subsequent mining and extraction activities have enormous economic and political significance. While some countries benefit off their natural wealth, others fall prey to corruption and exploitation. Approaching this topic we did not have a clear story we intended to investigate – instead the discussion in the first part of our session focussed on how to approach such a complex domain. After some discussion (luckily, the large team included two experts from the area and an investigative reporter), three themes areas emerged that we then decided to further dig into in smaller team:

  • One team worked on possible ways to combine company ownership information, conference documentation and social network data to generate a picture of the network of actors, companies and interests behind the extractive industry.

  • A second team decided to use a commercial database to explore the ownership of a single mine in the DRC. Where did money come from and who are the owners? A quick set of post-its on our data expeditions map served as a visualization of the setup.

  • Mapping was also the topic of the third group, which aimed to contrast overall revenue from extractives to economic, political and social indicators, such as the Corruption Perceptions Index. Using CartoDB, the group was able to easily generate a map that displayed country-by-country comparisons of the resulting ratios.

Quest 2: A Call to Investigate an African Crisis

In true Dungeons & Dragons style, Data Sherper Michael got a call from some dwarves in Middle Earth, who had heard about a sudden drop in life expectancy in central Africa. They didn’t know the details, but believed that the World Bank gnomes might have some facts which could shed some light on the mystery.

Cue the explorers in quest group two, who worked together throughout (kudos to such a large number!) to solve the mystery. After initial musings about a civil war, the team discovered a striking correlation between the increasing prevalence of HIV and plummeting life expectancies. By cross-referencing with other data sets, the team also noticed some interesting connections around health expenditure, public statements issued by politicians, and quirkier topics such as the target audience of condom marketing. More work would need to be done to really make a claim about causality, but there was certainly plenty to mull over.

Quest 3: Tax Islands

This was an experiment in providing a group with a chain of possible investigations (a map for the landscape) and then allowing a storyteller to choose their own expedition path throuh the data. The group divided into two teams to explore the possible stories (routes) you might want to take through tax avoidance and evasion.

The first group chose to show how an online book retailer might avoid tax, starting at the point of sale and tracing the money all the way through to the final countries in which tax was paid (and at what rate!). The second group wanted to show the effects of changes in tax laws, and looked at where large companies paid their tax and how they ‘moved’ as tax breaks changed.

The session was a big success. People really engaged with the issue, and the tax team benefitted from some particularly valuable insights from a few accountants who had direct experience of working on corporation tax for large companies. The format really worked (unless it was the spangly cloaks!) and our data expedition troops stayed at their desks until the very end.

Next steps: Online Mountaineering

The Data Expeditions format was somewhat experimental. We had no idea if the concept would work, but our inkling was that the only way to really teach data skills was to confront people with a mountain. By forging your own path (with the occassional leg-up or guidance from a sherper!), data explorers can pinpoint the extra skills they need to develop in order to scale new obstacles, map their own journey and ultimately to tell their own story. The answer may be at the top, but there are multiple routes to the summit – and each will offer a fresh view over the landscape.

Because the session was so successful, we are keen to repeat the Data Expeditions formula. Our next challenges will be:

  • To work out how to recreate this social dynamic online
  • To continue to follow up on these threads, questions and leads

To do this, we need your help!

  • Were you at the Data Expeditions session at MozFest? Write a short summary of what your team did and what you learned and send it to schoolofdata[@]okfn.org – we’d love to feature it on our blog!
  • Keen to run your own Data Expeditions session? Please do! You can find some of the resources we used below. Additionally, see the ‘Data Expeditions Toolkit’ below – sign-up to the mailing list and drop us a line at schoolofdata [@] okfn.org to find out more.
  • Know of more resources? Drop a line to via the mailing list or schoolofdata [@] okfn.org to let us know!

Recreate it yourself!

Use the Expeditions Toolkit

  1. Print out a copy of the character sheet (front, back) for all of the people participating
  2. Think of your topic areas and devise a suitably ridiculous name for your expedition. (Bonus points for ridiculous puns revolving around online gaming).
  3. Make some role descriptions cards. For each of the possible roles outlined in the character sheets outline tasks which people with that skillset could perform. We recommend at least 3 possible levels.
  4. Buy yourself a cape (optional)
  5. Get rolling – hand out your role desciption sheets, get people to fill in the radar plot and assign roles. Allow people to also specify a role that they are not so strong in, but which they would like to know more about, you can buddy them up with someone who is more advanced in those skills and encourage them to watch closely and ask lots of questions.
  6. Talk everyone through the notion of the expedition and explain their roles to them. Make it clear the aim is to produce something at the end of the session, that could be a blog post, a visualisation or a load of post-it leads – don’t specify, let them be as creative as possible!
  7. Start the storytellers off thinking of a question and get them talking to the scouts and analysts about where they might find that data. You’ll need lots of post it notes.
  8. Get the designers and engineers listening in to the conversations happening and working out how it might be possible to present the information, and feed back into the discussion
  9. One you’ve got a question, set the scouts and the analysts loose on finding and analysing the data.
  10. Get everyone to document their expedition, the avenues they tried which failed for some reason (the path was blocked), what worked, what data-sources the found and what tools they used. These are all useful for generating leads which people could follow up on afterwards and teaching people how a real data-campaign may be run.

We did ours in 3 hours – you may like to try doing it for longer, however make sure your session is short enough to have people’s full attention for the duration of the session and keep energy high.

That’s it. Good luck noble sherpas.

Resources that we used:

Data Sources

Tools & Resources

Data Bootcamps: Hands on data literacy workshops for the world

November 2, 2012 in Events, Featured, Open Data, Open Government Data, Open Spending, Our Work, School of Data

As governments around the world start implementing open data initiatives, establishing a critical public able to analyse and contextualise the data released is paramount. To facilitate this the African Media Initiative and the World Bank Institute started to collaborate on a program to bring Data Bootcamps to places with Open Government Data initiatives.

Data itself cannot and should not be the ultimate goal of an Open Data Initiative. Contextualising and using the data to create knowledge should be. While the release is often the focus of the government initiatives themselves, it needs to be accompanied by a process driven by Civil Society and Media to contextualise the data and show where the data can be more accurate or detailed. Having the released data used in research, campaigning and media stories helps to drive open data processes. To be able to drive the creation of knowledge and insight from data offered by governments, data literacy skills are needed.

The Open Government Data Initiative in Kenya is often told as a success story on the African continent. Nevertheless, the whole process took a lot of time and resources to get where it is today. The early months of the program were marked by disinterest and lack of awareness. To boost awareness of the program and involve non-government participants the African Media Initiative and the World Bank experimented with a short three day workshop they called “Data Bootcamp”. In this event the participating journalists, technologists and civil society representatives would receive hands on training on data literacy and implement their own small projects. The Workshop was a success – it markedly increased public awareness of the process and later on resulted in Code4Kenya.

PA240671.JPG Motivated by the success in Kenya, similar workshops were held in Moldova, South Africa, Tanzania and Ghana – the latter three with involvement of the OKFN: Friedrich Lindenberg of Open Spending facilitated sessions in South Africa and I (Michael Bauer) represented the School of Data in the recent events in Tanzania and Ghana. The outcomes of these workshops is encouraging for the continuation of the program.

The Data Bootcamps are not classical “teaching” events, where lecturers come in and talk in front of a classroom. Rather they are hands on workshops – participants are guided through a set of basic data literacy skills, starting from spreadsheets and ending at basic data visualizations using fusion tables. During the three day event they also have time to break out and work on group projects – building applications or telling stories around data. The feedback received has been overwhelmingly positive. Journalists and civil society representatives who had never worked with data before started to realize the power of translating it into stories and applications to cover certain issues. The event ended with short project presentations – with the group project winners awarded a small amount of money to develop their prototype into a more complete application or story. Several of the projects have already been successfully adopted by media outlets and continue to be developed.

The Data Bootcamp in Tanzania

October 25, 2012 in Featured, School of Data

This is a post from Michael Bauer a technologist, digital activist, and open data specialist with the Open Knowledge Foundation who is currently travelling around Tanzania and Ghana training people how to find, extract, and analyse public data. You can follow Michael’s travels in more detail on the School of Data Blog.

I am on the Road in Tanzania and Ghana to spread the datalove. Last week Tanzania’s first data journalism event happened: The Data Bootcamp, organized by the World Bank Institute and the African Media Initiative, brought together international experts, journalists, civil society organizations and technologists to work on data related projects.

In 2010 Tanzania comitted to release open government data as part of the open government partnership. Nevertheless, the Tanzanian government has only released two datasets so far. One goal of the data bootcamp was to spur demand by implementing small data projects. The format was tested before in South Africa, Kenya and Moldovia and helped to raise awareness of Open Data. In preparation and during the workshop 4 more datasets were scraped and liberated. Further data was collected by the participants to work on their specific projects.

Of the 40 participants only 7 were able to code – the majority was journalists and activists who never handled data before. Through the three days they received an intensive training in how to use spreadsheets and tools like Google Refine or Fusion Tables to tell stories with data.

The data bootcamps not only consist of intense hands-on learning experience, they also are a small competition, where 2000$ are awarded to the winner. Since the Tanzania bootcamp did not result in a clear winning project, three finalists were chosen. Each of them received a small starting sum to produce a working prototype within three weeks. After this the winning project will be chosen. Final projects were 1.) A platform tracking promises made by politicians and whether they were fulfilled. 2.) Tracking and monitoring foreign direct investments and 3.) a project illustrating the problem with Land-Grabbing and land ownership in Tanzania.

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