* Bringing the Open Source revolution to Open Data – James Smith, Web Developer, Open Data Institute
* dat: if git was designed for tabular data – Max Ogden, Open Web Programmer
* Open Science – Kamila Markram, Frontiers
* Leveraging open scientific data using R – Karthik Ram, Developer, rOpenSci
Visualising Information for Advocacy is a book that analyses the techniques of visual persuasion and the interlinked roles of information, technology, design and networks.
Whether we’re swamped by it or starved of it, the value of information depends on its quality, and its usefulness depends on our ability to communicate it successfully. As activists and advocates, we can’t sit and wait for people to wade through sixty-page reports, nor can we rely on slogans, unsupported assertions and pleas. To influence people we must make strong arguments and communicate them using strong evidence. Well timed, rigorous and well-presented information is the greatest asset activists possess.
After two years of workshops on visualisation, interviews with designers, technologists, campaigners and advocates and analyzing visual campaigns, Tactical Technology Collective is happy to introduce our new guide, Visualising Information for Advocacy. The book features over 60 inspiring case studies from around the world and provides a framework for understanding how the visual creates influence in advocacy.
Maps are one of the most popular forms of data visualizations. Open Source CartoDB allows you to quickly build maps on the web that change dynamically when data updates. The workshop will focus on the following aspects.
Introduction to CartoDB. From data to a map in minutes. Basics of SQL and CartoCSS for non-developers.
Visualizing geo-temporal data. Most data happens somewhere and at some particular time. This new type of visualization allow you discover new trends on data and tell new stories
Building apps. We will go through some use cases where you want to build applications with a geospatial backend like CartoDB.
Advance geospatial operations. We will look at some of the most common geospatial operations that any data scientist or GIS experts will want to do on the cloud.
Coordinators: Christopher Wilson, The Engine Room and Jun Matsushita, information innovation lab (iilab)
The recent proliferation of open data sets for public good has not been matched by sufficient efforts to facilitate interoperability between relevant data. Whether due to political incentives of data producers and managers, or purely technical obstacles, the inability to quickly merge and mesh data sets surrounding specific issues is a point of frustration for many advocates and researchers. This session is dedicated to testing different approaches for merging and meshing data sets in different issue areas, or “data clusters”, to see what kinds of outputs can be quickly achieved and new projects initiated, specific to different types of data or data users, and how useful or lacking existing standards for interoperability might be in different issue areas.
Pressing issues, resources and opportunities for merging national and international data sets will be identified collaboratively, and then applied to 3-5 use cases, to produce advocacy materials, draft interoperability standards or plans for further action. The session will provide 4-5 prepared “data clusters” for use cases, with data sets on national issues such as resource extraction, aid data or internet access and routing, as well as a data cluster on international transparency and accountability initiatives. Use cases may also focus on national or international issues and data sets surfaced during the session.
The first half of the session will be devoted to identifying issues and approaches. The second half will be a collaborative hacking session on different use cases in small groups.
This session is not just for technologists, it will be driven by people of all different skill sets, who want to see the complementary use of data sets to impact or better understand specific issues. Each small group will have a co-facilitator with the hard skill necessary to tackle thorny issues of interoperability.
Moderator: Giorgio Pauletto, Founding Board Member, Opendata.ch
Economy 2.0: Towards A Self-Regulating, Open, Participatory Market Society
Dirk Helbing, (Chair of Sociology, Modeling and Simulation, ETH, Swiss Federal Institute of Technology, Switzerland
Prof Helbing will show that the current kind of globalization and technological progress, combined with the growing complexity of our techno-socio-economic-environmental systems, creates increasing systemic risks. Presently, there are two trends to counter the resulting destabilization of our world: the establishment of a surveillance and punishment society, and the establishment of a reputation society. Prof Helbing will argue that the first trend is destined to fail, as it cannot unleash the potential of complex systems, diversity, and many networked minds. The second trend, in contrast, enables a sustainable and resilient solution for the emerging information society of the 21st century. Prof Helbing will sketch what kinds of ICT system designs will be needed, and how they can boost ourselves into an age of creativity and a new kind of economy, the economy 2.0. This will be a self-regulating, open, and participatory market society, if only the right decisions are taken.
Big, open and personal
Javier Ruiz, Open Rights Group
This talk will look at the junction between openness and personal information. Second wave open data programmes potentially conflict with privacy as personal information – schools, hospitals – is increasingly being brought into the picture. At the same time more people want to share their data to help find solutions to challenges in health and other areas. We will look at the concrete challenges: predictive analytics, anonymisation, EU data protection rules, etc. We will also explore possible ways forward, such as tools to control personal data and alternative data governance models.
Serious Issues need Serious Data: Build the triangle!
Ton Zijlstra, Independent Consultant on Change, Complexity, Knowledge Work, Learning
In order to solve real issues with open data we need to get more serious with opening up serious data. A quick primer on defining your real data needs so you know what to look for.
Yes CKAN! The next generation of open data management
Irina Bolychevsky, Open Knowledge Foundation
Open data management is a rapidly evolving field. The CKAN open source platform, instrumental in launching data.gov.uk in the early days, has grown and matured immensively and gradually established itself as a global standard. Join us in reviewing the new features of CKAN 2.0, learning from case studies and recent projects (data.gov, Queensland Australia and the new Canadian data portal) and planning where the future of open data will take us.
This will be a chance for people who have heard of CKAN before (or of data.gov, data.gov.uk etc) to learn more about it, see where it’s going next and find out how to get their own portal.
The New Business as Usual
Paul Stone, Ministry for Culture and Heritage, New Zealand
To ensure that opening up government data is a long term commitment, it must be mandate it across government from the top through official policy; adoption actively encouraged and supported; adoption monitored; and measured in terms of integration into core business planning and how embedded the release of open data is in everyday processes. Proactive release of public data must become the new business as usual.