Part of an in-depth study of how information technology research and development could more effectively support advances in the use of information technology (IT) in government, Summary of a Workshop on Information Technology Research for Federal Statistics explores IT research opportunities of relevance to the collection, analysis, and dissemination of federal statistics. On February 9 and 10, 1999, participants from a number of communitiesâ€"IT research, IT research management, federal statistics, and academic statisticsâ€"met to identify ways to foster interaction among computing and communications researchers, federal managers, and professionals in specific domains that could lead to collaborative research efforts. By establishing research links between these communities and creating collaborative mechanisms aimed at meeting relevant requirements, this workshop promoted thinking in the computing and communications research community and throughout government about possibilities for advances in technology that will support a variety of digital initiatives by the government.

This workshop summary was produced in the course of a broader study that is exploring how information technology research can foster new and improved government services, operations, and interactions with citizens. This workshop summary examines how this technology can contribute to more-effective response and recovery efforts to crises such as natural disasters or terrorist attacks, as well as to mitigation and preparedness in order to reduce the impact of these events.

Governments have done much to leverage information technology to deploy e-government services, but much work remains before the vision of e-government can be fully realized. Information Technology Research, Innovation, and E-government examines the emerging visions for e-government, the technologies required to implement them, and approaches that can be taken to accelerate innovation and the transition of innovative information technologies from the laboratory to operational government systems. In many cases, government can follow the private sector in designing and implementing IT-based services. But there are a number of areas where government requirements differ from those in the commercial world, and in these areas government will need to act on its role as a "demand leader." Although researchers and government agencies may appear to by unlikely allies in this endeavor, both groups have a shared interest in innovation and meeting future needs. E-government innovation will require addressing a broad array of issues, including organization and policy as well as engineering practice and technology research and development, and each of these issues is considered in the book.

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

Policy makers need information about the nationâ€"ranging from trends in the overall economy down to the use by individuals of Medicareâ€"in order to evaluate existing programs and to develop new ones. This information often comes from research based on data about individual people, households, and businesses and other organizations, collected by statistical agencies. The benefit of increasing data accessibility to researchers and analysts is better informed public policy. To realize this benefit, a variety of modes for data accessâ€" including restricted access to confidential data and unrestricted access to appropriately altered public-use dataâ€"must be used. The risk of expanded access to potentially sensitive data is the increased probability of breaching the confidentiality of the data and, in turn, eroding public confidence in the data collection enterprise. Indeed, the statistical system of the United States ultimately depends on the willingness of the public to provide the information on which research data are based. Expanding Access to Research Data issues guidance on how to more fully exploit these tradeoffs. The panel's recommendations focus on needs highlighted by legal, social, and technological changes that have occurred during the last decade.

Policy makers need information about the nation—ranging from trends in the overall economy down to the use by individuals of Medicare—in order to evaluate existing programs and to develop new ones. This information often comes from research based on data about individual people, households, and businesses and other organizations, collected by statistical agencies. The benefit of increasing data accessibility to researchers and analysts is better informed public policy. To realize this benefit, a variety of modes for data access— including restricted access to confidential data and unrestricted access to appropriately altered public-use data—must be used. The risk of expanded access to potentially sensitive data is the increased probability of breaching the confidentiality of the data and, in turn, eroding public confidence in the data collection enterprise. Indeed, the statistical system of the United States ultimately depends on the willingness of the public to provide the information on which research data are based. Expanding Access to Research Data issues guidance on how to more fully exploit these tradeoffs. The panel’s recommendations focus on needs highlighted by legal, social, and technological changes that have occurred during the last decade.

Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.

Section 214 of the E-government Act of 2002 called on the Administrator of the Office of Electronic Government in the Office of Management and Budget, in consultation with the Federal Emergency Management Agency (FEMA), to "ensure that a study is conducted on using information technology to enhance crisis preparedness, response, and consequence management of natural and manmade disasters." The section cited as a goal "to improve how information technology is used in coordinating and facilitating information on disaster preparedness, response, and recovery, while ensuring the availability of such information across multiple access channels." In early 2005, FEMA, via a subcontract through Battelle Memorial Institute, asked the Computer Science and Telecommunications Board (CSTB) of the National Research Council (NRC) to undertake a two-phase study on these issues. Summary of a Workshop on Using Information Technology to Enhance Disaster Management culminates phase 1 of the project. CSTB established the Committee on Using Information Technology to Enhance Disaster Management, and a public workshop was held under the committee's auspices on June 22-23, 2005. The committee's goal for the workshop was to establish a base of information for its study by hearing about present and future uses of IT from the perspective of federal, state, and local disaster management officials and users together with a sampling of relevant IT research and development activities. A variety of representatives of federal, state, and local government agencies, private industry, and the research community participated. Panelists at the workshop presented a range of views on the present state of the art and practice and future opportunities to harness information technology to aid in the management of natural and human-made disasters. This report summarizes some of the key points made by workshop participants. This report also contains the workshop agenda and includes biographical information for committee members and staff. In phase 2 of its study, the committee will supplement the inputs received at the workshop with information gathered at several site visits and a series of additional briefings. Phase 2 will culminate in a final report, expected in spring 2006, which provides findings and recommendations on requirements for effective use of information technology for disaster management, research and development needs and opportunities, and related research management and technology transition considerations.