Panton Principles, Principles for Open Data in Science

La traducció al català ha estat coordinada i revisada per l’Oficina de Difusió del Coneixement, Centre de Recursos per a l’Aprenentatge i la Investigació (CRAI) de la Universitat de Barcelona.Un dels resultats tangibles del Congrés Mundial sobre els Recursos Educatius Oberts que va tenir lloc a la seu parisenca de la UNESCO els proppassats 20-22 de juny és la Declaració sobre recursos educatius oberts. Aquest document, en què s’expliciten els textos internacionals precedents que s’han tingut en consideració en redactar-lo, fa una aposta decidida i irrenunciable a favor de l’obertura i la gratuïtat dels materials d’ensenyament, aprenentatge i investigació, i de manera especial els dels nivells superiors. Entre aquests textos d’àmbit internacional s’inclouen les declaracions de Ciutat del Cap de 2007 i de Dakar de 2009, com també les més recents directrius de la UNESCO i de la Commonwealth of Learning. Són força significatives les recomanacions que la Declaració de París adreça als estats, i també tenen un interès enorme les línies d’actuació política que s’hi proposen a fi d’assolir la màxima obertura dels recursos educatius. L’Oficina de Difusió del Coneixement del CRAI de la UB ha traduït aquesta Declaració amb el desig de contribuir a la divulgació d’aquest objectiu

Actionable Recourse in Linear Classification

Machine learning models are increasingly used to automate decisions that affect humans - deciding who should receive a loan, a job interview, or a social service. In such applications, a person should have the ability to change the decision of a model. When a person is denied a loan by a credit score, for example, they should be able to alter its input variables in a way that guarantees approval. Otherwise, they will be denied the loan as long as the model is deployed. More importantly, they will lack the ability to influence a decision that affects their livelihood. In this paper, we frame these issues in terms of recourse, which we define as the ability of a person to change the decision of a model by altering actionable input variables (e.g., income vs. age or marital status). We present integer programming tools to ensure recourse in linear classification problems without interfering in model development. We demonstrate how our tools can inform stakeholders through experiments on credit scoring problems. Our results show that recourse can be significantly affected by standard practices in model development, and motivate the need to evaluate recourse in practice.Comment: Extended version. ACM Conference on Fairness, Accountability and Transparency [FAT2019

Deutschland und die UN-Nachhaltigkeitsagenda 2016: noch lange nicht nachhaltig

Wird im Jahr 2030 kein Mensch mehr arm sein? Wird niemand mehr hungern müssen? Können alle Kinder wenigstens eine Grundschule besuchen? Konnten wir den Klimawandel abmildern, Städte nachhaltig umgestalten und die Ozeane schützen? Leben wir in friedlichen Demokratien, die die Menschenrechte zu Hause und über die eigenen Grenzen hinaus einhalten? Die 2030-Agenda der Vereinten Nationen und ihre 17 Ziele für nachhaltige Entwicklung versprechen die Transformation unserer Welt. Sie gelten für jedes Land, für die Länder des globalen Südens und des globalen Nordens, und damit auch für Deutschland. Angesprochen ist die ganze Bandbreite der Politik: Wirtschaft, Soziales, Umwelt, Finanzen, Agrar- und Verbraucherpolitik, Verkehr, Städtebau, Bildung und Gesundheit

Open Definition v.1.1

Open Definitio

Definición de conocimiento abierto v .1.0

Open Definitio

2015 Data - official GovHack competition datasets/APIs

A list of the official datasets which will be used in the 2015 GovHack competition. GovHack is an annual open data competition held all over Australia and New Zealand. It is a non-profit event run by volunteers who form the GovHack Coordination Team, and involves hackers, data providers, sponsors, and mentors. GovHack was originally an Australian initiative by Web Directions. They ran the first GovHack in 2009 which was funded by the Gov 2.0 Taskforce as part of their MashUp Australia initiative. GovHack has grown from a small event in 2009, to a volunteer run and community driven annual event. It grew from a two-city event in 2012, an eight-city event in 2013 and a national eleven-city event with over 1300 participants and observers in 2014. In 2015  the New Zealand community has entered into the GovHack Family. See Related Content below for more information

Datahub

Datahub is a free data management platform from the Open Knowledge Foundation, based on the CKAN data management system. CKAN is a tool for managing and publishing collections of data. It is used by national and local governments, research institutions, and other organisations which collect a lot of data. Through search and faceting, users can browse and find the data they need, and preview it using maps, graphs and tables - whether they are developers, journalists, researchers, NGOs, or citizens. CKAN is free, open-source software, which has been developed by the Open Knowledge Foundation since 2006 and used by government and organisations around the world. Version 2.0 was released in May 2013. The Datahub provides free access to many of CKAN\u27s core features, letting you search for data, register published datasets, create and manage groups of datasets, and get updates from datasets and groups you\u27re interested in. You can use the web interface or, if you are a programmer needing to connect the Datahub with another app, the CKAN API

Digital Rights Management (DRM) : a failure in the developed world, a danger to the developing world. A paper for the International Telecommunications Union, ITU-R Working Party 6M Report on Content Protection Technologies

This paper is part of our ongoing effort to bring some sanity to the blind march toward DRM technologies. These technologies don't work for stopping copyright infringement - their supposed function - yet they've served as an anti-competitive cudgel, a set of shackles on the public's rights in copyright, and a rubric for censoring and even jailing security researchers. EFF is delighted to be able to get this much-needed reality check before policymakers worldwide as they consider the question: 'Which DRM is best for my country?' Our answer: 'DRM will exact a punishing toll on your national interest and yield no benefit at all.' The paper explores the ways that DRM has harmed the developed world, negatively impacting scientific research, speech, innovation, competition, legitimate consumer interests, access by disabled people, archiving and library functions, and distance education. The paper goes on to examine the risks to the developing world in terms of its potential to curtail the public domain, to criminalize free and open source software projects, to enable region-based discrimination, and to lock local artists, authors, and performers into the monopoly pricing of DRM vendors. DRM has no nexus with promoting culture or stopping infringement. The rent it exacts from the nations it colonizes is too dear for anyone to bear. As you will see, the answer to "Which DRM will spur the most development in my nation?" is "None at all.

Principles on Open Bibliographic Data

Los datos bibliográficos son descripciones bibliográficas que identifican y localizan los recursos descritos. Estos datos bibliográficos pueden contener, además, otra información "secundaria", como por ejemplo ISBN, datos administrativos, otros identificadores, etc. Este documento adjunta una addenda con un listado de datos bibliográficos secundarios. La Fundación Open Knowledge recomienda actuar sobre los siguientes principios: - Cuando se publiquen datos bibliográficos, habrá que establecer una licencia explícita y concreta. - Es importante utilizar una exención o licencia reconocida que sea apropiada para datos (utilizar alguna de las descritas en http://opendefinition.org/licenses/#Data) - Para que los datos sean utilizados y añadidos por otras personas deben ser abiertos tal y como se define en Open Definition (http://opendefinition.org); en particular no deben utilizarse frases restrictivas o comerciales. - Siempre que sea posible, se recomienda explícitamente ubicar los datos bibliográficos en Dominio Público vía PDDL o CC0.Open Knowledge Foundatio