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How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data. Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted. Contributors Michiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy Zyskind An MIT Connection Science and Engineering Book
Richie covers the so what of blockchain as opposed to the crowded area of the what of blockchain. In the 1st half readers self-realize that a trust gap is exponentially expanding in commerce, and humans are carrying the unnecessary burden to always trust but verify with intermediaries. Today, we the human species start every company or transaction with the automatic subliminal assumption that counterparties cannot be trusted. In the 2nd half, Richie re-positions blockchain from a paradigm that is looking for a problem, into a paradigm that would help close the trust gap. Blockchain, mankind’s first opportunity for trusted commerce at global scale. About the Author
Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company's data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward's time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort. - Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership - Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management - Includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards
Most Americans agree on the necessity of education reform, but there is little consensus about how this goal might be achieved. The rhetoric of standards and vouchers has occupied center stage, polarizing public opinion and affording little room for reflection on the intangible conditions that make for good schools. Trust in Schools engages this debate with a compelling examination of the importance of social relationships in the successful implementation of school reform. Over the course of three years, Bryk and Schneider, together with a diverse team of other researchers and school practitioners, studied reform in twelve Chicago elementary schools. Each school was undergoing extensive reorganization in response to the Chicago School Reform Act of 1988, which called for greater involvement of parents and local community leaders in their neighborhood schools. Drawing on years longitudinal survey and achievement data, as well as in-depth interviews with principals, teachers, parents, and local community leaders, the authors develop a thorough account of how effective social relationships—which they term relational trust—can serve as a prime resource for school improvement. Using case studies of the network of relationships that make up the school community, Bryk and Schneider examine how the myriad social exchanges that make up daily life in a school community generate, or fail to generate, a successful educational environment. The personal dynamics among teachers, students, and their parents, for example, influence whether students regularly attend school and sustain their efforts in the difficult task of learning. In schools characterized by high relational trust, educators were more likely to experiment with new practices and work together with parents to advance improvements. As a result, these schools were also more likely to demonstrate marked gains in student learning. In contrast, schools with weak trust relations saw virtually no improvement in their reading or mathematics scores. Trust in Schools demonstrates convincingly that the quality of social relationships operating in and around schools is central to their functioning, and strongly predicts positive student outcomes. This book offer insights into how trust can be built and sustained in school communities, and identifies some features of public school systems that can impede such development. Bryk and Schneider show how a broad base of trust across a school community can provide a critical resource as education professional and parents embark on major school reforms. A Volume in the American Sociological Association's Rose Series in Sociology
As the economy and society move from a world where interactions were physical and based on paper documents, toward a world that is primarily governed by digital data and digital transactions, our existing methods of managing identity and data security are proving inadequate. Large-scale fraud, identity theft and data breaches are becoming common, and a large fraction of the population have only the most limited digital credentials. Even so, our digital infrastructure is recognized as a strategic asset which must be resilient to threat. If we can create an Internet of Trusted Data that provides safe, secure access for everyone, then huge societal benefits can be unlocked, including better health, greater financial inclusion, and a population that is more engaged with and better supported by its government. Some of the world's leading data scientists, led by MIT Professor Alex Pentland, describe a roadmap and platforms to implement this new paradigm.
"This book is a must have resource guide for anyone who wants to ... implement TXT within their environments. I wish we had this guide when our engineering teams were implementing TXT on our solution platforms!” John McAuley,EMC Corporation "This book details innovative technology that provides significant benefit to both the cloud consumer and the cloud provider when working to meet the ever increasing requirements of trust and control in the cloud.” Alex Rodriguez, Expedient Data Centers "This book is an invaluable reference for understanding enhanced server security, and how to deploy and leverage computing environment trust to reduce supply chain risk.” Pete Nicoletti. Virtustream Inc. Intel® Trusted Execution Technology (Intel TXT) is a new security technology that started appearing on Intel server platforms in 2010. This book explains Intel Trusted Execution Technology for Servers, its purpose, application, advantages, and limitations. This book guides the server administrator / datacenter manager in enabling the technology as well as establishing a launch control policy that he can use to customize the server’s boot process to fit the datacenter’s requirements. This book explains how the OS (typically a Virtual Machine Monitor or Hypervisor) and supporting software can build on the secure facilities afforded by Intel TXT to provide additional security features and functions. It provides examples how the datacenter can create and use trusted pools. With a foreword from Albert Caballero, the CTO at Trapezoid.
Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.
How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data. Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted. Contributors Michiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy Zyskind An MIT Connection Science and Engineering Book
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures