Aimed at students and educators across all levels of Higher Education, this agenda-setting book defines what screen production research is and looks like—and by doing so celebrates creative practice as an important pursuit in the contemporary academic landscape. Drawing on the work of international experts as well as case studies from a range of forms and genres—including screenwriting, fiction filmmaking, documentary production and mobile media practice—the book is an essential guide for those interested in the rich relationship between theory and practice. It provides theories, models, tools and best practice examples that students and researchers can follow and expand upon in their own screen production projects.

This two-volume set presents selected and revised papers from the 10th International Conference of Production Research - Americas, ICPR-Americas 2020, held in Bahía Blanca, Argentina, in December 2020. Due to the COVID-19 pandemic the conference was held in a fully virtual format. The 41 full papers and 11 short papers were thoroughly reviewed and selected from 275 submissions. They are organized in topical sections on optimization; metaheuristics and algorithms; industry 4.0 and cyber-physical systems; smart city; intelligent systems and decision sciences; simulation; machine learning and big data.

This anthology explores challenges to understanding the nature of cultural production, exploring innovative new research approaches and improvements to old approaches, such as newsroom ethnography, which will enable clearer, fuller understanding of the workings of journalism and other forms of media and cultural production.

In this provocative and broad-ranging work, the authors argue that the ways in which knowledge - scientific, social and cultural - is produced are undergoing fundamental changes at the end of the twentieth century. They claim that these changes mark a distinct shift into a new mode of knowledge production which is replacing or reforming established institutions, disciplines, practices and policies. Identifying features of the new mode of knowledge production - reflexivity, transdisciplinarity, heterogeneity - the authors show how these features connect with the changing role of knowledge in social relations. While the knowledge produced by research and development in science and technology is accorded central concern, the

This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations). Part three contains discussions of non-Gaussian laws connected to scientific productivity and presents various deterministic and stochastic models of science dynamics and research productivity. The book shows that many famous fat tail distributions as well as many deterministic and stochastic models and processes, which are well known from physics, theory of extreme events or population dynamics, occur also in the description of dynamics of scientific systems and in the description of the characteristics of research productivity. This is not a surprise as scientific systems are nonlinear, open and dissipative.

This book discusses the conference that forms a unique platform to bring together academicians and practitioners from industrial engineering and management engineering as well as from other disciplines working on production function applying the tools of operational research and production/operational management. Topics treated include: computer-aided manufacturing, Industry 4.0, big data and analytics, flexible manufacturing systems, fuzzy logic, industrial applications, information technologies in production management, optimization, production economy, production planning and control, productivity and performance management, project management, quality management, risk analysis and management, and supply chain management