Privacy Value Networks

身份和隐私最近很少出现在头条新闻中。政府为识别公民身份和跟踪行为或安全原因的必要性辩护，并通过承诺转型政府的好处来促进数据共享。企业辩称，它需要跟踪现实世界和互联网中的客户行为，以提供个性化服务，提供更有针对性的信息，并发现新的商业机会。公众通常被描绘成不关心隐私：根据民意调查数据，政府辩称，大多数公民支持身份识别和监控，商业公司则辩称，客户乐于自愿提供关于自己的详细信息，以换取折扣或参与抽奖。在最近的一份报告中，英国信息专员将这种情况描述为梦游进入监控社会。公民和客户真的不在乎吗？以前的研究表明，在许多情况下，人们选择眼前的好处(或其承诺)，而不太担心未来可能的风险(或没有意识到这些风险)。然而，一旦人们经历了负面后果，或者发现了他们没有意识到的风险，他们往往会做出强烈的反应--通常会完全放弃涉及的服务和技术。数据共享和泄露的例子提高了人们对数据如何被使用和滥用的认识。越来越多的人试图通过拒绝注册或提供虚假信息来防御敏感或不适当数据的收集。这种回应可能造成重大的经济损害，或者--如果大量人选择退出或提供虚假信息--/导致收集的数据几乎没有价值或没有价值。收集和存储关于个人的数据的成本和收益没有得到适当的审查，为特定目的持有关于个人的信息的价值也没有被理解。该项目将帮助政府和企业了解个人数据的价值，以及对其他利益相关者的价值和风险。内政部估计，身份盗窃每年给英国造成17亿英镑的损失，但如果没有适当的成本效益分析，数据收集者就不可能理解如何或是否减少他们收集的数据量。隐私研究的多学科性质既使其受益，也使其蒙受损失。多种视角和方法导致了许多详细的发现，但对于隐私是什么，以及在不同的使用环境/情景下对不同的利益攸关方意味着什么，仍然缺乏明确性。没有人试图衡量可比单位所涉利益攸关方的成本和收益。大多数研究都是一次性调查，对有关隐私的一般问题“感受温度”。还没有关于利益相关者的感知如何随着时间的推移而演变的研究，以回应关于他们的数据的好处和缺点的经历。在这些问题上缺乏高质量的实证数据，以及如何收集这些数据。收集关于人们对敏感信息的看法的可靠数据的问题就像薛定谔的猫/要讨论隐私，你必须透露你想要保密的东西。Pvnet项目的目标是开发新的方法，使我们能够打破这一悖论。

Identity and privacy have recently rarely been out of the headlines. Government has justified the need to identify citizens and track behaviour or security reasons, and promoted data sharing with the promise of the benefits of transformational government. Business argues that it needs to track customer behaviour both in the real world and theInternet to deliver personalised services that offer more targeted information and identify new business opportunities.The public is generally portrayed as unconcerned about privacy: based on opinion poll data, government argues that the majority of citizens support identification and surveillance, and commercial companies argue that customers are happy to volunteer detailed information about themselves in return for discounts or entry in a prize draw. In a recent report, the UK Information Commissioner characterised the situation as Sleepwalking into a Surveillance Society.Do citizens and customers really not care? Previous research has shown that in many situations, people opt for immediate benefits (or promises thereof), and are less concerned about future possible risks (or not aware of them). However, once people experience negative consequences, or discover risks they were unaware of, they tend to respond strongly - often abandoning services and technologies involved altogether. Examples of data sharing and leakage have raised awareness how data can be used and abused. Increasingly, people try to defend against the collection of sensitive or inappropriate data by refusing to register, or giving false information. Such responses can cause significant economic damage, or - in case of large numbers opting out or providing fake information / lead to a collection of data that has little or no value. The cost and benefit of collecting and storing data about individuals has not been properly examined, and the value of holding information about individuals for specific purposes is not understood. The project will help government and business to understand the value of personal data, as well as the value and risks for other stakeholders. The Home Office estimates that identity theft costs the UK 1.7bn each year, but without a proper cost-benefit analysis, it is impossible for data-collectors to understand how, or indeed whether, to reduce the amount of data that they collect.Research into privacy has both benefited and suffered from its multidisciplinary nature. The multitude of perspectives and methods has led to many detailed findings, but there is still a lack of clarity of what privacy is and what it means to different stakeholders in different contexts/scenarios of use. There has been no attempt to measure the cost and benefits to the stakeholders involved in comparable units. Most studies are one-off surveys, 'feeling the temperature' to general questions about privacy. There has been no study of how stakeholders' perception evolves over time, in response to experiences of benefits and drawback of data held about them. There is a lack of quality, empirical data on these issues, and how to collect it. The problem of collecting reliable data on people's perceptions surrounding sensitive data about them is akin to Schrdinger's Cat / to discuss privacy, you have to reveal things you want to keep private. The goal ofthe pvnets project is to develop new methodologies that enable us to break this paradox.