A ten-year longitudinal study of the impact of national, state, and local programs that address issues of digital divide and digital inclusion in Austin, Texas.
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time ...series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
The Early Information Society Black, Alistair; Muddiman, Dave; Plant, Helen
2007, 20160323, 2007-11-01, 2016-03-24
eBook
Whether termed the 'network society', the 'knowledge society' or the 'information society', it is widely accepted that a new age has dawned, unveiled by powerful computer and communication ...technologies. Yet for millennia humans have been recording knowledge and culture, engaging in the dissemination and preservation of information. In `The Early Information Society', the authors argue for an earlier incarnation of the information age, focusing upon the period 1900-1960. In support of this they examine the history and traditions in Britain of two separate but related information-rich occupations - information management and information science - repositioning their origins before the age of the computer and identifying the forces driving their early development.
`The Early Information Society' offers an historical account which questions the novelty of the current information society. It will be essential reading for students, researchers and practitioners in the library and information science field, and for sociologists and historians interested in the information society.
Digital Era Governance Dunleavy, Patrick; Margetts, Helen; Bastow, Simon ...
2006, 2006-11-02, 2007, 2008, 20060101
eBook, Book
Government information systems are big business (costing over 1% of GDP a year). They are critical to all aspects of public policy and governmental operations. Governments spend billions on them — ...for instance, the United Kingdom alone commits £14 billion a year to public sector information technology (IT) operations. Yet governments do not generally develop or run their own systems, instead relying on private sector computer services providers to run large, long-run contracts to provide IT. Some of the biggest companies in the world (IBM, EDS, Lockheed Martin, etc.) have made this a core market. This book shows how governments in some countries (the United States, Canada, and the Netherlands) have maintained much more effective policies than others (in the United Kingdom, Japan, and Australia). It shows how public managers need to retain and develop their own IT expertise and to carefully maintain well-contested markets if they are to deliver value for money in their dealings with the very powerful global IT industry. This book describes how a critical aspect of the modern state is managed, or in some cases mismanaged.
This third edition of Jo Bryson's highly regarded Managing Information Services has been thoroughly revised with an emphasis on managing for a sustainable future. Libraries and information services ...face uncertain times and this new edition tackles the challenges of planning and managing change, future-proofing for tomorrow, and leading the transformation to a sustainable future. The text also addresses the integration of information services including librarianship, records management and ICT. Essential reading for information students, this text also serves as a comprehensive and detailed reference on the key management topics for information service managers.
Contents: Preface; Part I Management Influences in a Changing Landscape: Managing in an uncertain world; Strategic influences. Part II Strategy and Planning: Strategic planning: positioning for a sustainable future; Attracting and retaining talented people in challenging times; Ensuring value for money and enabling a cost-sustainable future; Knowledge and information management - a key to survival; Strategic technology and asset management - a smarter approach. Part III Leadership and Innovation: Leadership; Utilizing a values-driven culture for sustainability; Innovation and creativity; Engaging change in positioning for the future; Group dynamics and team building; Effective negotiation and conflict management; Managing the political arena; Policy making; Personal communication and networking; Managing yourself and others in challenging times. Part IV Governance and Social Responsibility: Ensuring good corporate governance; Using authority and influence; Encouraging transparency; Managing for sustainability; Managing risk; Sustaining trust and continued operations; Evaluating benefits and performance. Part V Customer and Market Focus: Competitive strategies; Corporate image and communications; Ensuring service quality. Part VI Success and Sustainability: Bringing it all together. Index.
Jo Bryson is a senior management consultant and international speaker in strategy and planning. Her current consulting role involves assisting Chief Executive Officers lead, transform and change the strategic direction of their organizations. Previously Jo held senior management positions in the library, information and IT sectors at state and international government levels. .
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, ...underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that's both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.
In recent years, chief information officers have begun to report exponential increases in the amounts of raw data captured and retained across the organization. Managing extreme amounts of data can ...be complex and challenging at a time when information is increasingly viewed as a strategic resource. Since the dominant focus of the information technology (IT) governance literature has been on how firms govern physical IT artifacts (hardware, software, networks), the goal of this study is to extend the theory of IT governance by uncovering the structures and practices used to govern information artifacts. Through detailed interviews with 37 executives in 30 organizations across 17 industries, we discover a range of structural, procedural, and relational practices used to govern information within a nomological net that includes the antecedents of these practices and their effects on firm performance. While some antecedents enable the speedy adoption of information governance, others can delay or limit the adoption of information governance practices. Once adopted, however, information governance can help to boost firm performance. By incorporating these results into an extended theory of IT governance, we note how information governance practices can unlock value from the ever-expanding mountains of data currently held within organizations.
As seen in "a NULL" Wired and "a NULL" Time
A revealing look at how negative biases against women of color are embedded in search engine results and algorithms
Run a Google search for "black ...girls"-what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society.
In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color.
Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance-operating as a source for email, a major vehicle for primary and secondary school learning, and beyond-understanding and reversing these disquieting trends and discriminatory practices is of utmost importance.
An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.
Safiya Noble discusses search engine bias in an interview with USC Annenberg School for Communication and Journalism
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