Critical Infrastructure for Ocean Research and Societal Needs in 2030

The United States has jurisdiction over 3.4 million square miles of oceanâÂÂan expanse greater than the land area of all fifty states combined. This vast marine area offers researchers opportunities to investigate the oceanâÂÂs role in an integrated Earth system, but also presents challenges to society, including damaging tsunamis and hurricanes, industrial accidents, and outbreaks of waterborne diseases. The 2010 Gulf of Mexico Deepwater Horizon oil spill and 2011 Japanese earthquake and tsunami are vivid reminders that a broad range of infrastructure is needed to advance our still-incomplete understanding of the ocean. The National Research Council (NRC)âÂÂs Ocean Studies Board was asked by the National Science and Technology CouncilâÂÂs Subcommittee on Ocean Science and Technology, comprised of 25 U.S. government agencies, to examine infrastructure needs for ocean research in the year 2030. This request reflects concern, among a myriad of marine issues, over the present state of aging and obsolete infrastructure, insufficient capacity, growing technological gaps, and declining national leadership in marine technological development; issues brought to the nationâÂÂs attention in 2004 by the U.S. Commission on Ocean Policy. A 15-member committee of experts identified four themes that encompass 32 future ocean research questionsâÂÂenabling stewardship of the environment, protecting life and property, promoting economic vitality, and increasing fundamental scientific understanding. Many of the questions in the report (e.g., sea level rise, sustainable fisheries, the global water cycle) reflect challenging, multidisciplinary science questions that are clearly relevant today, and are likely to take decades of effort to solve. As such, U.S. ocean research will require a growing suite of ocean infrastructure for a range of activities, such as high quality, sustained time series observations or autonomous monitoring at a broad range of spatial and temporal scales. Consequently, a coordinated national plan for making future strategic investments becomes an imperative to address societal needs. Such a plan should be based upon known priorities and should be reviewed every 5-10 years to optimize the federal investment. The committee examined the past 20 years of technological advances and ocean infrastructure investments (such as the rise in use of self-propelled, uncrewed, underwater autonomous vehicles), assessed infrastructure that would be required to address future ocean research questions, and characterized ocean infrastructure trends for 2030. One conclusion was that ships will continue to be essential, especially because they provide a platform for enabling other infrastructure â autonomous and remotely operated vehicles; samplers and sensors; moorings and cabled systems; and perhaps most importantly, the human assets of scientists, technical staff, and students. A comprehensive, long-term research fleet plan should be implemented in order to retain access to the sea. The current report also calls for continuing U.S. capability to access fully and partially ice-covered seas; supporting innovation, particularly the development of biogeochemical sensors; enhancing computing and modeling capacity and capability; establishing broadly accessible data management facilities; and increasing interdisciplinary education and promoting a technically-skilled workforce. The committee also provided a framework for prioritizing future investment in ocean infrastructure. They recommend that development, maintenance, or replacement of ocean research infrastructure assets should be prioritized in terms of societal benefit, with particular consideration given to usefulness for addressing important science questions; affordability, efficiency, and longevity; and ability to contribute to other missions or applications. These criteria are the foundation for prioritizing ocean research infrastructure investments by estimating the economic costs and benefits of each potential infrastructure investment, and funding those investments that collectively produce the largest expected net benefit over time. While this type of process is clearly subject to budget constraints, it could quantify the often informal evaluation of linkages between infrastructure, ocean research, the value of information produced, societal objectives, and economic benefits. Addressing the numerous complex science questions facing the entire ocean research enterprise in 2030âÂÂfrom government to academia, industry to nonprofits, local to global scaleâÂÂrepresents a major challenge, requiring collaboration across the breadth of the ocean sciences community and nearly seamless coordination between ocean-related federal agencies

From Lab Bench to Innovation: Critical Challenges to Nascent Academic Entrepreneurs

University research laboratories are important sources of the inventions and discoveries that become significant innovations with broad economic and societal impact. Invention alone is not innovation; innovation is the long, hard work of taking new technologies and bringing them to commercialization.There are many pathways for the dissemination of new knowledge that arises from basic research at universities, ranging from traditional methods such as publication and training students to licensing technology to established firms or new ventures.One way to transform new knowledge into valuable innovations is for university researchers to undertake the creation of new firms based on their discoveries through academic entrepreneurship. The problem is that university scientists and inventors with a discovery made at a laboratory bench face challenges beyond those experienced by traditional high-technology venture founders: they must finish creating the technology before they can begin using it.Academics typically start with inventions so immature that their commercial success cannot be predicted Academic entrepreneurship is an emerging and developing phenomenon, and there is a growing body of literature about new ventures based on university academic. However, limited research has been directed toward nascent academic entrepreneurs (NAEs) to understand the key challenges of bringing innovations to market. The majority of this work has focused on the institutional experience rather than the academic entrepreneurs and their individual experiences . Within the broader fields of entrepreneurship and innovation, it has been argued that high-potential startups such as academic ventures should receive particular attention from scholarsThe following research addressed this gap.Nascent academic entrepreneurship involves more than transforming an invention into a commercialized innovation. It is about the genesis of ideas and the emergence of opportunities, the birth of new organizations, their evolution into new companies, and the transformation of scientists into leaders. It also is about providing the foundation for future innovation by others. Though nascent academic entrepreneurship is increasing in frequency, it is not well understood. The dissertation examines this important topic

Toward a Responsible Design Science Research Ecosystem for the Digital Age: A Critical Pragmatist Perspective

This dissertation is motivated by the need to find ways to responsibly navigate the complex landscape of the digital age, in which rapid advances in information technology (IT), particularly in the field of artificial intelligence (AI), present both unprecedented opportunities and potentially catastrophic risks to society. The starting point is the assumption that we need to focus on Responsible Innovation (RI) in order to reap the benefits of accelerating IT innovation while avoiding the most dangerous risks. The main goal of this dissertation is to initiate and support the development of a responsible design science research (DSR) ecosystem to align DSR with the imperatives of RI. To this end, it advocates a paradigm shift for Information Systems (IS) research and proposes responsible DSR as a ”supermethodology” to address the grand challenges of the digital age in a responsible and productive manner. This dissertation achieves this goal through three interrelated inquiries: 1. Ethical Foundations of IS Research: A comprehensive overview of ethics and its relationship to IS research, based on a panel discussion and literature review, highlights ethical considerations for responsible IS research in the digital age. This sets the stage for a conscious engagement with RI in IS research and DSR. 2. Conceptual Framework for Responsible DSR: The central part of the dissertation develops a multi-grounded theory supported by interviews with various members of the IS community and academic literature. The result is a holistic framework for responsible DSR that addresses fundamental paradigmatic challenges: ontological, epistemological, axiological, and methodological. The framework serves as an open and integrative conceptual foundation for a responsible DSR ecosystem. 3. Applied Responsible DSR Project: The dissertation concludes with a concrete responsible DSR project that not only contributes to addressing a relevant societal problem, but also serves as an example of what responsible DSR can look like in practice. Scenario development and system dynamic simulation experiments are used to examine the impact of digitalization on the resilience of the U.S. food sector in the face of catastrophic electricity loss. The study stimulates a critical discourse on the interplay between digital transformation and social resilience and provides insights for the responsible embedding of digital technologies. Taken together, these studies form the basis for a responsible DSR ecosystem. However, this dissertation recognizes the participatory and emergent nature of such development efforts and can therefore only serve as a starting point. Continued discourse and deliberate action are needed to advance responsible DSR and contribute to the flourishing of our societies in the digital age

Information Technology R&D: Critical Trends and Issues

A report by the Office of Technology Assessment (OTA) that "examines four specific areas of research as case studies: computer architecture, artificial intelligence, fiber optics, and software engineering" in light of their new role in the United States economy (p. iii)

Cyber-Physical Threat Intelligence for Critical Infrastructures Security

Modern critical infrastructures can be considered as large scale Cyber Physical Systems (CPS). Therefore, when designing, implementing, and operating systems for Critical Infrastructure Protection (CIP), the boundaries between physical security and cybersecurity are blurred. Emerging systems for Critical Infrastructures Security and Protection must therefore consider integrated approaches that emphasize the interplay between cybersecurity and physical security techniques. Hence, there is a need for a new type of integrated security intelligence i.e., Cyber-Physical Threat Intelligence (CPTI). This book presents novel solutions for integrated Cyber-Physical Threat Intelligence for infrastructures in various sectors, such as Industrial Sites and Plants, Air Transport, Gas, Healthcare, and Finance. The solutions rely on novel methods and technologies, such as integrated modelling for cyber-physical systems, novel reliance indicators, and data driven approaches including BigData analytics and Artificial Intelligence (AI). Some of the presented approaches are sector agnostic i.e., applicable to different sectors with a fair customization effort. Nevertheless, the book presents also peculiar challenges of specific sectors and how they can be addressed. The presented solutions consider the European policy context for Security, Cyber security, and Critical Infrastructure protection, as laid out by the European Commission (EC) to support its Member States to protect and ensure the resilience of their critical infrastructures. Most of the co-authors and contributors are from European Research and Technology Organizations, as well as from European Critical Infrastructure Operators. Hence, the presented solutions respect the European approach to CIP, as reflected in the pillars of the European policy framework. The latter includes for example the Directive on security of network and information systems (NIS Directive), the Directive on protecting European Critical Infrastructures, the General Data Protection Regulation (GDPR), and the Cybersecurity Act Regulation. The sector specific solutions that are described in the book have been developed and validated in the scope of several European Commission (EC) co-funded projects on Critical Infrastructure Protection (CIP), which focus on the listed sectors. Overall, the book illustrates a rich set of systems, technologies, and applications that critical infrastructure operators could consult to shape their future strategies. It also provides a catalogue of CPTI case studies in different sectors, which could be useful for security consultants and practitioners as well

eBusiness in Apparel Retailing Industry - Critical Issues

The apparel industry has, like most other industries quickly started using the Internet to gain improvements in the efficiency and effectiveness of operations and marketing. In this report we briefly overview the developments of electronic commerce in apparel industry. We try to develop a framework for choosing the right technology and development options based on the business model and business orientation chosen. We illustrate the framework by four case companies, which have adapted different basic strategies and business models. The cases include companies with traditional operations with also physical retail outlets, as well as companies operating only on the Internet. There are still a number of unresolved problems related both to consumer-oriented e-commerce in general and to apparel industry in particular. Nevertheless, consumers are increasingly using the Internet to do extensive amount of research on products and fashion trends before purchasing through any media, also making more and more online purchase

Critical Habitats and Biodiversity: Inventory, Thresholds and Governance

The High Level Panel for Sustainable Ocean Economy (https://oceanpanel.org/) has commissioned a series of “Blue Papers” to explore pressing challenges at the nexus of the ocean and the economy. This paper is part of a series of 16 papers to be published between November 2019 and October 2020. It addresses how multiple human impacts will impact biodiversity underpinning ecosystem services such as marine fisheries, aquaculture, coastal protection and tourism. The paper examines the distribution of marine species and critical marine habitats around the world; analyses trends in drivers, pressures, impacts and response; and establishes thresholds for protecting biodiversity hot spots, and indicators to monitor change. From this scientific base, it assesses the current legal framework and available tools for biodiversity protection, current gaps in ocean governance and management and the implications for achieving a sustainable ocean economy tailored to individual coastal states grouped by social indicators

Cyber-Physical Threat Intelligence for Critical Infrastructures Security

Modern critical infrastructures can be considered as large scale Cyber Physical Systems (CPS). Therefore, when designing, implementing, and operating systems for Critical Infrastructure Protection (CIP), the boundaries between physical security and cybersecurity are blurred. Emerging systems for Critical Infrastructures Security and Protection must therefore consider integrated approaches that emphasize the interplay between cybersecurity and physical security techniques. Hence, there is a need for a new type of integrated security intelligence i.e., Cyber-Physical Threat Intelligence (CPTI). This book presents novel solutions for integrated Cyber-Physical Threat Intelligence for infrastructures in various sectors, such as Industrial Sites and Plants, Air Transport, Gas, Healthcare, and Finance. The solutions rely on novel methods and technologies, such as integrated modelling for cyber-physical systems, novel reliance indicators, and data driven approaches including BigData analytics and Artificial Intelligence (AI). Some of the presented approaches are sector agnostic i.e., applicable to different sectors with a fair customization effort. Nevertheless, the book presents also peculiar challenges of specific sectors and how they can be addressed. The presented solutions consider the European policy context for Security, Cyber security, and Critical Infrastructure protection, as laid out by the European Commission (EC) to support its Member States to protect and ensure the resilience of their critical infrastructures. Most of the co-authors and contributors are from European Research and Technology Organizations, as well as from European Critical Infrastructure Operators. Hence, the presented solutions respect the European approach to CIP, as reflected in the pillars of the European policy framework. The latter includes for example the Directive on security of network and information systems (NIS Directive), the Directive on protecting European Critical Infrastructures, the General Data Protection Regulation (GDPR), and the Cybersecurity Act Regulation. The sector specific solutions that are described in the book have been developed and validated in the scope of several European Commission (EC) co-funded projects on Critical Infrastructure Protection (CIP), which focus on the listed sectors. Overall, the book illustrates a rich set of systems, technologies, and applications that critical infrastructure operators could consult to shape their future strategies. It also provides a catalogue of CPTI case studies in different sectors, which could be useful for security consultants and practitioners as well

Scour detection with monitoring methods and machine learning algorithms - a critical review

Foundation scour is a widespread reason for the collapse of bridges worldwide. However, assessing bridges is a complex task, which requires a comprehensive understanding of the phenomenon. This literature review first presents recent scour detection techniques and approaches. Direct and indirect monitoring and machine learning algorithm-based studies are investigated in detail in the following sections. The approaches, models, characteristics of data, and other input properties are outlined. The outcomes are given with their advantages and limitations. Finally, assessments are provided at the synthesis of the research.This research was funded by FCT (Portuguese national funding agency for science, research, and technology)/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB/04029/2020 and trough the doctoral Grant 2021.06162.BD. This work has also been partly financed within the European Horizon 2020 Joint Technology Initiative Shift2Rail through contract no. 101012456 (IN2TRACK3)

A Critical Review of Sustainable Energy Policies for the Promotion of Renewable Energy Sources

Meeting the rising energy demand and limiting its environmental impact are the two intertwined issues faced in the 21st century. Governments in different countries have been engaged in developing regulations and related policies to encourage environment friendly renewable energy generation along with conservation strategies and technological innovations. It is important to develop sustainable energy policies and provide relevant and suitable policy recommendations for end-users. This study presents a review on sustainable energy policy for promotion of renewable energy by introducing the development history of energy policy in five countries, i.e., the United States, Germany, the United Kingdom, Denmark and China. A survey of the articles aimed at promoting the development of sustainable energy policies and their modelling is carried out. It is observed that energy-efficiency standard is one of the most popular strategy for building energy saving, which is dynamic and renewed based on the current available technologies. Feed-in-tariff has been widely applied to encourage the application of renewable energy, which is demonstrated successfully in different countries. Building energy performance certification schemes should be enhanced in terms of reliable database system and information transparency to pave the way for future net-zero energy building and smart cities