23 papers · ranked by Valyu relevance
John W. Sheppard
This book is focused on the broad issues surrounding "realizing complex integrated systems." What do we mean by this? It might be helpful to break down our title, one word at a time. To do this, we start at the end. What is a "system"? We start this introductory chapter by addressing that question. We pose a number of…
Maximilian Vierlboeck, Antonio Pugliese, Roshanak Nilchian, Paul T. Grogan + 1 more
—Complexity in engineered systems presents one of the most persistent challenges in modern development since it is driving cost overruns, schedule delays, and outright project failures. Yet while architectural complexity has been studied, the structural complexity embedded within requirements specifications remains…
Trisha Greenhalgh, Chrysanthi Papoutsi
Complexity is much talked about but sub-optimally studied in health services research. Although the significance of the complex system as an analytic lens is increasingly recognised, many researchers are still using methods that assume a closed system in which predictive studies in general, and controlled experiments…
Alexei Botchkarev, Patrick Finnigan
Complexity is an inherent attribute of any project. The purpose of defining and documenting complexity is to have an early warning tool allowing a project team to focus on certain areas and aspects of the project in order to prevent and alleviate future risks and issues caused by this complexity.
Nick A. Kirsop-Taylor, Adam P. Hejnowicz, Karen Scott
Public Natural Resource Management (NRM) agencies operate in complex social-ecological domains. These complexities proliferate unpredictably therefore investigating and supporting the ability of public agencies to respond effectively is increasingly important. However, understanding how public NRM agencies innovate and…
Hendri Dwi Saptioratri Budiono, Rahmat Nurcahyo, Muhammad Habiburrahman
'Muhammad Habiburrahman'] Previous research has emphasized the need to further investigate the impact of manufacturing complexity on company strategies and performance in developing countries' manufacturing sector. Indonesia is one such developing country where this relationship has yet to be adequately studied. The…
Tihana Galinac Grbac
This is part I of the follow-up lecture notes of the lectures given by the authors at the Three "CO" (Composability, Comprehensibility, Correctness) Winter School held in Koˇsice, Slovakia, in January 2018, and Summer School held in Budapest, Hungary, in June 2019. In this part we explain the role of functional…
Valentin Girard, Maud Rio, Romain Couillet
Research on digital degrowth predominantly critiques digital expansion or presents alternative digital practices. Yet, analyzing the link between digital technologies and complexity is crucial to overcome systemic obstacles hindering digital de-escalation. This article presents the different types of links between…
Stephen Fox, Ashwin Vaidya
New insights into intractable industrial challenges can be revealed by framing them in terms of natural science. One intractable industrial challenge is that creative production can be much more financially expensive and time consuming than standardized production. Creative products include a wide range of goods that…
Robert Kitt
In this chapter the complex systems are discussed in the context of economic and business policy and decision making. It will be showed and motivated that social systems are typically chaotic, non-linear and/or non-equilibrium and therefore complex systems. It is discussed that the rapid change in global consumer…
Mariana Gómez-Schiavon, Hana El-Samad
Mathematical models continue to be essential for deepening our understanding of biology. On one extreme, simple or small-scale models help delineate general biological principles. However, the parsimony of detail in these models as well as their assumption of modularity and insulation make them inaccurate for…
Kristin Bakke Lysdahl, Bjørn Hofmann
Complexity entails methodological challenges in assessing health care interventions. In order to address these challenges, a series of characteristics of complexity have been identified in the Health Technology Assessment (HTA) literature. These characteristics are primarily identified and developed to facilitate…
Raphaël Robidas, Claude Legault
Computational chemistry is an increasingly active field due to the improvement of computing resources and theoretical tools. However, its use remains usually limited to technically-inclined users due to the technical challenges of preparing, launching and analyzing calculations. In this context, we have developed…
Nancy Rebout, Jean-Christophe Lone, Arianna De Marco, Roberto Cozzolino + 2 more
'Roberto Cozzolino' 'Alban Lemasson' 'Bernard Thierry'] While there is no consensus about the definition of complexity, it is widely accepted that the ability to produce uncertainty is the most prominent characteristic of complex systems. We introduce new metrics that purport to quantify the complexity of living…
Martina Merz, Helene Sorgner
Studies on ‘Big Science’ have shifted our perspective from the complexity of scientific objects and their representations to the complexity of sociotechnical arrangements. However, how scientists in large-scale research attend to this complexity to facilitate and afford knowledge production has rarely been considered…
Adrian Krzyzanowski, Axel Pahl, Michael Grigalunas, Herbert Waldmann
The fraction of sp3 hybridised carbons (Fsp3) and the fraction of stereogenic carbons (FCstereo) are two widely employed scores of molecular complexity with a strong link to biologically relevant features such as frequency, potency and selectivity of protein binding. However, due to their simplistic nature, they do not…
Jakub Nowosad, Tomasz F. Stepinski
Comparing a large number of landscapes calls for using the smallest possible set of landscape metrics. The overall complexity of land-scape pattern is the single most important metric, but the standard set of landscape metrics lacks the bona fide indicator of complexity. Demonstrate that information theory provides a…
Vanessa Haller-Bull, Elena Rovenskaya
Uncertainty is inherent in ecosystem modelling, however its effects on modelling results are often poorly understood or ignored. This study addresses the issue of structural uncertainty or, more specifically, model resolution and its impact on the analysis of ecosystem vulnerability to threats. While guidelines for…
James Cant, Nina Schiettekatte, Elizabeth M. P. Madin, Arie C. Seijmonsbergen + 3 more
The three-dimensional structure of land- and seascapes, links biotic and abiotic processes to shape how organisms use their environments. Much effort has been dedicated to understanding this relationship between structural complexity and biodiversity. However, tailored, system-specific approaches to quantifying…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Alan V. Rincon, Bridget M. Waller, Julie Duboscq, Alexander Mielke + 3 more
The social complexity hypothesis for communicative complexity posits that animal societies with more complex social systems require more complex communication systems. Here, we test the social complexity hypothesis on three macaque species that vary in their degree of social tolerance and complexity. We coded facial…
Malcolm Sim, Mohammad Ghazi Vakili, Felix Strieth-Kalthoff, Han Hao + 4 more
Self-driving laboratories (SDLs), which combine automated experimental hardware with computational experiment planning, have emerged as powerful tools for accelerating materials discovery. The intrinsic complexity created by their multitude of components requires an effective orchestration platform to ensure the…
Stephanie Wankowicz, James Fraser
In their folded state, biomolecules exchange between multiple conformational states, crucial for their function. However, most structural models derived from experiments and computational predictions only encode a single state. To represent biomolecules more accurately, we must move towards modeling and predicting…