856 resultados para Privacy By Design, Data Protection Officer, Privacy Officer, trattamento, dati personali, PETs
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Whether a statistician wants to complement a probability model for observed data with a prior distribution and carry out fully probabilistic inference, or base the inference only on the likelihood function, may be a fundamental question in theory, but in practice it may well be of less importance if the likelihood contains much more information than the prior. Maximum likelihood inference can be justified as a Gaussian approximation at the posterior mode, using flat priors. However, in situations where parametric assumptions in standard statistical models would be too rigid, more flexible model formulation, combined with fully probabilistic inference, can be achieved using hierarchical Bayesian parametrization. This work includes five articles, all of which apply probability modeling under various problems involving incomplete observation. Three of the papers apply maximum likelihood estimation and two of them hierarchical Bayesian modeling. Because maximum likelihood may be presented as a special case of Bayesian inference, but not the other way round, in the introductory part of this work we present a framework for probability-based inference using only Bayesian concepts. We also re-derive some results presented in the original articles using the toolbox equipped herein, to show that they are also justifiable under this more general framework. Here the assumption of exchangeability and de Finetti's representation theorem are applied repeatedly for justifying the use of standard parametric probability models with conditionally independent likelihood contributions. It is argued that this same reasoning can be applied also under sampling from a finite population. The main emphasis here is in probability-based inference under incomplete observation due to study design. This is illustrated using a generic two-phase cohort sampling design as an example. The alternative approaches presented for analysis of such a design are full likelihood, which utilizes all observed information, and conditional likelihood, which is restricted to a completely observed set, conditioning on the rule that generated that set. Conditional likelihood inference is also applied for a joint analysis of prevalence and incidence data, a situation subject to both left censoring and left truncation. Other topics covered are model uncertainty and causal inference using posterior predictive distributions. We formulate a non-parametric monotonic regression model for one or more covariates and a Bayesian estimation procedure, and apply the model in the context of optimal sequential treatment regimes, demonstrating that inference based on posterior predictive distributions is feasible also in this case.
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Slides used in lecture, explaining coursework and providing an introduction to the Data Protection Act. Students should use these resources as guidance for the forthcoming coursework (annotated bibliography). Like all materials you can expect slides to address issues which come up future assessment activities
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Encryption of personal data is widely regarded as a privacy preserving technology which could potentially play a key role for the compliance of innovative IT technology within the European data protection law framework. Therefore, in this paper, we examine the new EU General Data Protection Regulation’s relevant provisions regarding encryption – such as those for anonymisation and pseudonymisation – and assess whether encryption can serve as an anonymisation technique, which can lead to the non-applicability of the GDPR. However, the provisions of the GDPR regarding the material scope of the Regulation still leave space for legal uncertainty when determining whether a data subject is identifiable or not. Therefore, we inter alia assess the Opinion of the Advocate General of the European Court of Justice (ECJ) regarding a preliminary ruling on the interpretation of the dispute concerning whether a dynamic IP address can be considered as personal data, which may put an end to the dispute whether an absolute or a relative approach has to be used for the assessment of the identifiability of data subjects. Furthermore, we outline the issue of whether the anonymisation process itself constitutes a further processing of personal data which needs to have a legal basis in the GDPR. Finally, we give an overview of relevant encryption techniques and examine their impact upon the GDPR’s material scope.
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Tutkielman tarkoituksena on selvittää lukijalle, mistä syistä ja miten Euroopan unionin tietosuojainstrumentit – nykyinen tietosuojadirektiivi ja tuleva tietosuoja-asetus – asettavat rajoituksia EU:n kansalaisten henkilötietojen siirroille kolmansiin maihin kaupallisia tarkoituksia varten. Erityisen tarkastelun kohteena on henkilötietojen siirrot EU:n alueelta Yhdysvaltoihin mahdollistanut Safe Harbor-järjestelmä, jonka Euroopan unionin tuomioistuin katsoi pätemättömäksi asiassa C-362/14 Maximillian Schrems v Data Protection Commissioner. Tutkimusaiheen eli henkilötietojen rajat ylittävien siirtojen ollessa kansainvälisen oikeuden ja tietosuojaoikeuden leikkauspisteessä on tutkimuksessa käytetty molempien oikeudenalojen asiantuntijoiden tutkimuksia lähteenä. Kansainvälisen oikeuden peruslähteenä on käytetty Brownlien teosta Principles of Public International Law (6. painos), jota vasten on peilattu tutkimusaihetta tarkemmin käsittelevää kirjallisuutta. Erityisesti on syytä nostaa esille Bygraven tietosuojaoikeutta kansainvälisessä kontekstissa käsittelevä Data Privacy Law: An International Perspective sekä Kunerin nimenomaisesti henkilötietojen kansainvälisiä siirtoja käsittelevä Transborder Data Flows and Data Privacy Law. Uusien teknologioiden myötä nopeasti kehittyvästä tutkimusilmiöstä ja oikeudenalasta johtuen tutkimuksessa on käytetty lähdemateriaaleina runsaasti aihepiiriä käsitteleviä artikkeleita arvostetuista julkaisuista, sekä EU:n tietosuojaviranomaisten ja YK:n raportteja virallislähteinä. Keskeiset tutkimustulokset osoittavat EU:n ja sen jäsenvaltioiden intressit henkilötietojen siirroissa sekä EU:n asettamien henkilötietojen siirtosääntelyiden vaikutukset kolmansiin maihin. Globaalin konsensuksen saavuttamisen koskien henkilötietojen kansainvälisiä siirtosääntelyitä arvioitiin olevan ainakin lähitulevaisuudessa epätodennäköistä. Nykyisten alueellisten sääntelyratkaisujen osalta todettiin Euroopan neuvoston yleissopimuksen No. 108 eniten osoittavan potentiaalia maailmanlaajuiselle implementoinnille. Lopuksi arvioitiin oikeudellisen pluralismin mallin puitteissa tarkoituksenmukaisia keinoja EU:n kansalaisten perusoikeuksina turvattujen yksityisyyden ja henkilötietojen suojan parantamiseksi. Tarkastelu osoittaa EU:n kansalaisten sekä näiden henkilötietoja käsittelevien ja siirtävien yritysten välillä olleen tiedollinen ja voimallinen epätasapaino, joka ilmenee yksilön tiedollisen itseautonomian ja suostumuksen merkityksen heikentymisenä, joskin EU:n vuonna 2018 voimaan astuva tietosuoja-asetus organisaatioiden vastuuta korostamalla pyrkii poistamaan tätä ongelmaa.
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Design talks LOUDLY!!! Is a series of interactive presentations exploring issues and opportunities involving professional design. --------------- These seminars are organised by the Industrial Design Network Queensland (IDnetQLD) in coordination with the Design Institute of Australia (DIA). This event was held at the State Library of Queensland (SLQ) with invited public presentations by a panel of industry experts from the Australian Government – IP Australia. --------------- The first seminar "Intellectual Property : designing 4 success" highlighted to design professionals how the various forms of Intellectual Property interact, what protections and pitfalls exist, and how these impact upon the work and responsibilities of designers. The overlaps, gaps and in congruencies in the various IP protection systems were highlighted by the expert line-up of speakers. --------------- The underlying message is that a clear understanding of all IP types is necessary in order to gain the best advantage from IP protection and therefore eliminate potential IP ownership issues before they become a problem.
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The Comprehensive Australian Study of Entrepreneurial Emergence (CAUSEE) is a research programme that aims to uncover the factors that initiate, hinder and facilitate the process of emergence of new economic activities and organizations. It is widely acknowledged that entrepreneurship is one of the most important forces shaping changes in a country’s economic landscape (Baumol 1968; Birch 1987; Acs 1999). An understanding of the process by which new economic activity and business entities emerge is vital (Gartner 1993; Sarasvathy 2001). An important development in the study of ‘nascent entrepreneurs’ and ‘firms in gestation’ was the Panel Study of Entrepreneurial Dynamics (PSED) (Gartner et al. 2004) and its extensions in Argentina, Canada, Greece, the Netherlands, Norway and Sweden. Yet while PSED I is an important first step towards systematically studying new venture emergence, it represents just the beginning of a stream of nascent venture studies – most notably PSED II is currently being undertaken in the US (2005– 10) (Reynolds and Curtin 2008).
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When designing a new passenger ship or modifiying an existing design, how do we ensure that the proposed design is safe from an evacuation point of view? In the building and aviation industries, computer based evacuation models are being used to tackle similar issues. In these industries, the traditonal restrictive prescriptive approach to design is making way for performance based design methodologies using risk assessment and computer simulation. In the maritime industry, ship evacuation models off the promise to quickly and efficiently bring these considerations into the design phase, while the ship is "on the drawing board". This paper describes the development of evacuation models with applications to passenger ships and further discusses issues concerning data requirements and validation.
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Tese de doutoramento, Farmácia (Tecnologia Farmacêutica), Universidade de Lisboa, Faculdade de Farmácia, 2014
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Published on Jun 7, 2012 by icocomms This ICO training video helps answer questions about the Data Protection Act, its impact on the working environment and how to handle and protect people's information. (Produced by Central Office of Information, Crown Copyright 2006)
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Published on Jun 7, 2012 by icocomms This ICO training video helps answer questions about the Data Protection Act, its impact on the working environment and how to handle and protect people's information. (Produced by Central Office of Information, Crown Copyright 2006)
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The extraction of design data for the lowpass dielectric multilayer according to Tschebysheff performance is described. The extraction proceeds initially by analogy with electric-circuit design, and can then be given numerical refinement which is also described. Agreement with the Tschebysheff desideratum is satisfactory. The multilayers extracted by this procedure are of fractional thickness, symmetric with regard to their central layers.
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This paper shows the actual state of a compilation work on Thermal Control Design Data being done at Madrid (Lamf-ETSIA) under several ESTEC contracts, introducing a Handbook already issued, its additions and updatings.
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This report sheds light on the fundamental questions and underlying tensions between current policy objectives, compliance strategies and global trends in online personal data processing, assessing the existing and future framework in terms of effective regulation and public policy. Based on the discussions among the members of the CEPS Digital Forum and independent research carried out by the rapporteurs, policy conclusions are derived with the aim of making EU data protection policy more fit for purpose in today’s online technological context. This report constructively engages with the EU data protection framework, but does not provide a textual analysis of the EU data protection reform proposal as such.