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The Handbook of Social Justice Interventions in Education features interventions in social justice within education and leadership, from early years to higher education and in mainstream and alternative, formal and informal settings. Researchers from across academic disciplines and different countries describe implementable social justice work underway in learning environments¿organizations, programs, classrooms, communities, etc. Robust, dynamic, and emergent theory-informed applications in real-world places make known the applied knowledge base in social justice, and its empirical, ideological, and advocacy orientations.A multiplicity of social justice-oriented lenses, policies, strategies, and tools is represented in this Handbook, along with qualitative and quantitative methodologies. Alternative and conventional approaches alike advance knowledge and educational and social utility. To cover the field comprehensively the subject (i.e., social justice education and leadership) is subdivided into four sections. Part 1 (background) provides a general background of current social justice literature. Part II (schools) addresses interventions and explorations in preK-12 schools. Part III (education) covers undergraduate and graduate education and preservice teacher programs, classrooms, and curricula, in addition to teacher and student leadership in schools. Part IV (leadership) features educational leadership and higher education leadership domains, from organizational change efforts to preservice leader preparation programs, classrooms, etc. Part V (comparative) offers interventions and explorations of societies, cultures, and nations.Assembling this unique material in one place by a leading cast will enable readers easy access to the latest research-informed interventionist practices on a timely topic. They can build on this work that takes the promise of social justice to the next level for changing global learning environments and workplaces.

This publication highlights the fast-moving technological advancement and infiltration of Artificial Intelligence into society. Concepts of evolution of society through interconnectivity are explored, together with how the fusion of human and technological interaction leading to Augmented Humanity is fast becoming more than just an endemic phase, but a cultural phase shift to digital societies. It aims to balance both the positive progressive outlooks such developments bring with potential issues that may stem from innovation of this kind, such as the invasive procedures of bio hacking or ethical connotations concerning the usage of digital twins. This publication will also give the reader a good level of understanding on fundamental cyber defence principles, interactions with Critical National Infrastructure (CNI) and the Command, Control, Communications and Intelligence (C3I) decision-making framework. A detailed view of the cyber-attack landscape will be garnered; touching on thetactics, techniques and procedures used, red and blue teaming initiatives, cyber resilience and the protection of larger scale systems. The integration of AI, smart societies, the human-centric approach and Augmented Humanity is discernible in the exponential growth, collection and use of [big] data; concepts woven throughout the diversity of topics covered in this publication; which also discusses the privacy and transparency of data ownership, and the potential dangers of exploitation through social media. As humans are become ever more interconnected, with the prolificacy of smart wearable devices and wearable body area networks, the availability of and abundance of user data and metadata derived from individuals has grown exponentially. The notion of data ownership, privacy and situational awareness are now at the forefront in this new age.

This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques. The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. Technology giants like Google, Microsoft, Amazon, Facebook, Apple, and companies like Uber, Airbnb, NVIDIA, Expedia, and so forth are continuing to explore new ways to collect and analyze big data to provide their customers with interactive services and new experiences. With any discussion of big data, security is not, however, far behind. Large scale data breaches and privacy leaks at governmental and financial institutions, social platforms, power grids, and so forth, are on the rise that cost billions of dollars. The book explains how the security needs and implementations are inherently different at different stages of the big data centric system, namely at the point of big data sensing and collection, delivery over existing networks, and analytics at the data centers. Thus, the book sheds light on how conventional security provisioning techniques like authentication and encryption need to scale well with all the stages of the big data centric system to effectively combat security threats and vulnerabilities. The book also uncovers the state-of-the-art technologies like deep learning and blockchain which can dramatically change the security landscape in the big data era.

This third of three volumes from the inaugural NODYCON, held at the University of Rome, in February of 2019, presents papers devoted to New Trends in Nonlinear Dynamics. The collection features both well-established streams of research as well as novel areas and emerging fields of investigation. Topics in Volume III include NEMS/MEMS and nanomaterials: multi-sensors, actuators exploiting nonlinear working principles; adaptive, multifunctional, and meta material structures; nanocomposite structures (e.g., carbon nanotube/polymer composites, composites with functionalized nanoparticles); 0D,1D,2D,3D nanostructures; biomechanics applications, DNA modeling, walking dynamics, heart dynamics, neurodynamics, capsule robots, jellyfish-like robots, nanorobots; cryptography based on chaotic maps; ecosystem dynamics, social media dynamics (user behavior dynamics in multi-messages social hotspots, prediction models), financial engineering, complexity in engineering; and network dynamics(multi-agent systems, leader-follower dynamics, swarm dynamics, biological networks dynamics).