Communication complexity is the mathematical study of scenarios where several parties need to communicate to achieve a common goal, a situation that naturally appears during computation. This introduction presents the most recent developments in an accessible form, providing the language to unify several disjoint research subareas. Written as a guide for a graduate course on communication complexity, it will interest a broad audience in computer science, from advanced undergraduates to researchers in areas ranging from theory to algorithm design to distributed computing. The first part presents basic theory in a clear and illustrative way, offering beginners an entry into the field. The second part describes applications including circuit complexity, proof complexity, streaming algorithms, extension complexity of polytopes, and distributed computing. Proofs throughout the text use ideas from a wide range of mathematics, including geometry, algebra, and probability. Each chapter contains numerous examples, figures, and exercises to aid understanding.

2CO COmmunicating COmplexity is the international design conference aiming at exploring languages, approaches and technologies to respond to the emerging need for making complex information accessible throught design. 2CO’s first edition (25-26 October 2013, Alghero, Italy) has gathered an international community of professionals and scholars active in this area to share experiences, points of views and methodologies, focusing on three main areas of interest: informative-animation, interactive data visualization, info-graphics. This volume collects their contributions in the three conference categories: full papers, posters and ‘junior track’ special session. Generated by a consortium of European Universities that in 2011 started collaborating on the InformAnimation project, and by fellow Universities active in visual design teaching and research, COmmunicating COmplexity aims at becoming an international reference point for research and education in the area of communicating complexity through new media.

Surveys the mathematical theory and applications such as computer networks, VLSI circuits, and data structures.

Science and technology are embedded in virtually every aspect of modern life. As a result, people face an increasing need to integrate information from science with their personal values and other considerations as they make important life decisions about medical care, the safety of foods, what to do about climate change, and many other issues. Communicating science effectively, however, is a complex task and an acquired skill. Moreover, the approaches to communicating science that will be most effective for specific audiences and circumstances are not obvious. Fortunately, there is an expanding science base from diverse disciplines that can support science communicators in making these determinations. Communicating Science Effectively offers a research agenda for science communicators and researchers seeking to apply this research and fill gaps in knowledge about how to communicate effectively about science, focusing in particular on issues that are contentious in the public sphere. To inform this research agenda, this publication identifies important influences â€" psychological, economic, political, social, cultural, and media-related â€" on how science related to such issues is understood, perceived, and used.

The field of corporate communications describes the practices organizations use to communicate as coherent corporate `bodies′. Drawing on the metaphor of the body and on a variety of theories and disciplines the text challenges the idealized notion that organizations can and should communicate as unified wholes. The authors pose important questions such as: - Where does the central idea of corporate communications come from? - What are the underlying assumptions of most corporate communications practices? - What are the organizational and ethical challenges of attempting truly `corporate′ communication? Clearly written with international vignettes and executive briefings, this book shows that in a complex world the management of communication needs to embrace multiple opinions and voices. Rewarding readers with a deeper understanding of corporate communications, the text will be a `must read′ for advanced undergraduates, graduate students, and scholars, in the arenas of corporate communications, organizational communication, employee relations, marketing, public relations and corporate identity management. Practitioners in these areas will be provoked to re-examine their assumptions and habits.

The communication complexity of a function f(x, y) measures the number of bits that two players, one who knows x and the other who knows y, must exchange to determine the value f(x, y). Communication complexity is a fundamental measure of complexity of functions. Lower bounds on this measure lead to lower bounds on many other measures of computational complexity. This monograph surveys lower bounds in the field of communication complexity. Our focus is on lower bounds that work by first representing the communication complexity measure in Euclidean space. That is to say, the first step in these lower bound techniques is to find a geometric complexity measure, such as rank or trace norm, that serves as a lower bound to the underlying communication complexity measure. Lower bounds on this geometric complexity measure are then found using algebraic and geometric tools.

This book constitutes the refereed conference proceedings of the 28th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2021, held in Wrocław, Poland, in June 2021. Due to COVID-19, the conference will be held online. The 20 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers are solicited from all areas of study of local structural knowledge and global communication and computational complexities. Among the typical areas are distributed computing, communication networks, game theory, parallel computing, social networks, mobile computing