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  • ICANN generic top-level domains (gTLD) : hearing before the Subcommittee on Intellectual Property, Competition, and the Internet of the Committee on the Judiciary, House of Representatives, One Hundred Twelfth Congress, first session, May 4, 2011

    United States. Congress. House. Committee on the Judiciary. Subcommittee on Intellectual Property, Competition, and the Internet (Washington : U.S. G.P.O. : For sale by the Supt. of Docs., U.S. G.P.O.,, 2011)
    "Serial no. 112-37."
  • El programari lliure: producció col·lectiva de coneixement

    Jacovkis, David; Cofundador del Free Knowledge Institute (Universitat Oberta de Catalunya, 2009-05-27)
    El programari lliure ha deixat de ser domini exclusiu dels experts en informàtica. La majoria dels usuaris d’Internet coneixen el navegador web Firefox o el paquet ofimàtic OpenOffice.org, i molts els fan servir cada dia. Però en el sector de les tecnologies de la informació i la comunicació ja fa molts anys que es fan servir programes lliures per diversos motius: la qualitat tècnica, la manca de costos per llicències, la seguretat, la independència tecnològica, etc. En alguns sectors, com les administracions públiques o l’educació, les llibertats que el programari lliure garanteix als seus usuaris śon especialment rellevants. En aquest article presentarem una breu història d’aquest moviment en els seus vessants tecnològic i ideològic. Veurem què vol dir que un programa sigui lliure i quina importància té això per als seus usuaris des del punt de vista tècnic, econòmic i social.
  • Digital Observatory

    Queensland University of Technology ()
    <p>The established in January 2018, aims to enable the understanding of the complex and dynamic digital landscape by providing researchers access to a reliable, scalable state-of-the-art research data infrastructure and the requisite data engineering and data science services.</p> <p>The DO maintains a state-of-the-art infrastructure for tracking, collecting, and analysing dynamic digital data such as social media data among others. Our ability to manage large sets of continuous and dynamic digital data enables innovative digital media and society research with applications across a range of fields.  The DO aims to address the challenge of building a trusted platform that makes it possible to collect data responsibly, ethically, and securely. Accordingly, the DO has secured an ethics approval to operate as a databank and become data custodian to the datasets it collects. The DO is the data custodian of curated and adhoc data collections. Examples of curated collections are the Australian Twittersphere, 2019 Federal Election, and the Covid19 dataset. In addition to providing access to the curated and adhoc datasets, DO capability includes the services of software developers and data scientists to assist researchers in many of their data-related needs so they can focus more on their analysis and research dissemination.</p> <p> </p>
  • Cyber effect and security management aspects in critical energy infrastructures

    Mykolas Romeris University; Vilnius Gediminas Technical University; General Jonas Žemaitis Military Academy of Lithuania; NATO Energy Security Centre of Excellence; Plėta, Tomas; Tvaronavičienė, Manuela; Della Casa, Silvia (HAL CCSDEntrepreneurship and Sustainability Center, 2020-06-30)
    International audience
  • Big Data and the Americans with Disabilities Act: Amending the Law to Cover Discrimination Based on Data-Driven Predictions of Future Illnesses

    Hoffman, Sharona (Case Western Reserve University School of Law Scholarly Commons, 2017-01-01)
    While big data holds great promise to improve the human condition, it also creates new and previously unimaginable opportunities for discrimination. Employers, financial institutions, marketers, educational institutions, and others can now easily obtain a wealth of big data about individuals’ health status and use it to make adverse decisions relating to data subjects. The Americans with Disabilities Act (ADA) is a federal law that prohibits employers and other public and private entities from discriminating against individuals because of their disabilities. This chapter argues that in the era of big data, the ADA does not go far enough. While the ADA protects individuals who have existing disabilities, records of past disabilities, or are regarded as having mental or physical impairments, it does not reach people who are currently healthy but are perceived as being at high risk of becoming sick in the future. This is a gap that should not be ignored at a time when decision-makers have many newly-available data tools that enable them to make predictions about medical problems that individuals will face in later years. The chapter recommends that the ADA be amended to expand its anti-discrimination mandate. Specifically, the statute should 1) prohibit discrimination based on predictions of future physical or mental impairments and 2) require covered entities to disclose in writing their use of big data or other non-traditional means to obtain health-related information.

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