Category: Books

Waste Is Information

Waste is material information. Landfills are detailed records of everyday consumption and behavior; much of what we know about the distant past we know from discarded objects unearthed by archaeologists and interpreted by historians. And yet the systems and infrastructures that process our waste often remain opaque. In this book, Dietmar Offenhuber examines waste from the perspective of information, considering emerging practices and technologies for making waste systems legible and how the resulting datasets and visualizations shape infrastructure governance. He does so by looking at three waste tracking and participatory sensing projects in Seattle, São Paulo, and Boston.

Offenhuber expands the notion of urban legibility—the idea that the city can be read like a text—to introduce the concept of infrastructure legibility. He argues that infrastructure governance is enacted through representations of the infrastructural system, and that these representations stem from the different stakeholders’ interests, which drive their efforts to make the system legible. The Trash Track project in Seattle used sensor technology to map discarded items through the waste and recycling systems; the Forager project looked at the informal organization processes of waste pickers working for Brazilian recycling cooperatives; and mobile systems designed by the city of Boston allowed residents to report such infrastructure failures as potholes and garbage spills. Through these case studies, Offenhuber outlines an emerging paradigm of infrastructure governance based on a
complex negotiation among users, technology, and the city.

 

 

Waste Is Information
Infrastructure Legibility and Governance
By Dietmar Offenhuber

MIT Press

Source: mitpress.mit.edu

Temporal Network Epidemiology

This book covers recent developments in epidemic process models and related data on temporally varying networks. It is widely recognized that contact networks are indispensable for describing, understanding, and intervening to stop the spread of infectious diseases in human and animal populations; “network epidemiology” is an umbrella term to describe this research field.

More recently, contact networks have been recognized as being highly dynamic. This observation, also supported by an increasing amount of new data, has led to research on temporal networks, a rapidly growing area. Changes in network structure are often informed by epidemic (or other) dynamics, in which case they are referred to as adaptive networks.

This volume gathers contributions by prominent authors working in temporal and adaptive network epidemiology, a field essential to understanding infectious diseases in real society.

 

Temporal Network Epidemiology
Naoki Masuda, Petter Holme (Eds.)

Source: link.springer.com

The origins of intelligent life

In his ambitious book Life Through Time and Space, Wallace Arthur tack­les an extraordinarily difficult set of topics. What is the origin and fate of the universe? How did life, and eventually intelligent life, come into existence on Earth? How does a fertilized human egg trans­form into a complex person with only DNA to guide development?

 

The origins of intelligent life
Marcos Huerta
Life Through Time and Space Wallace Arthur Harvard University Press, 2017. 289 pp.
Science  11 Aug 2017:
Vol. 357, Issue 6351, pp. 556
DOI: 10.1126/science.aao0931

Source: science.sciencemag.org

Proceedings of the 14th European Conference on Artificial Life 2017

This volume is the proceedings of ECAL 2017, the Fourteenth European Conference on Artificial Life, held September 4–8th 2017, in Lyon, France (https://project.inria.fr/ecal2017/). Since the first ECAL in 1991, the conference is the main international event of the International Society for Artificial Life in odd-numbered years, alternating with ALife, the International Conference on the Synthesis and Simulation of Living Systems. The theme of this edition of ECAL was “Create, play, experiment, discover: The experimental power of virtual worlds”. The volume contains the abstracts of the seven invited presentations, as well as 87 contributed articles selected by the programme committee based on at least three independent reviews. Contributions are either long (up to 8 pages) or short (up to 2 pages) articles. Long articles present original results, while short articles are extended abstracts presenting either original work or recently published work. These contributions cover all the topics of artificial life, including: artificial chemistry; origins of life; self-replication, self-repair and morphogenesis; evolutionary dynamics; ecological dynamics; social dynamics; computational cellular biology; computational physiology; bio-inspired robotics; evolutionary robotics; perception, cognition and behavior; evolution of language and computational linguistics; embodied and interactive systems; collective dynamics of swarms; complex dynamical systems and networks; cellular automata and discrete dynamical systems; economic and social systems as living systems; computational humanities; methodologies and tools for artificial life; interactions between in silico/in vitro/in vivo experiments; philosophical, epistemological and ethical issues; artificial life and education; artificial life-based art; applications of artificial life; living technologies.

Source: cognet.mit.edu

The elegant law that governs us all

 

A dog owner weighs twice as much as her German shepherd. Does she eat twice as much? Does a big city need twice as many gas stations as one that is half its size? Our first instinct is to say yes. But, alas, we are wrong. On a per-gram basis, a human requires about 25% less food than her dog, and the larger city needs only 85% more gas stations. As Geoffrey West explains in Scale, the reason behind these intriguing phenomena is a universal law known as allometry—the finding that as organisms, cities, and com­panies grow, many of their characteristics scale nonlinearly.

 

The elegant law that governs us all

Albert-László Barabási
Scale. Geoffrey West. Penguin Press, 2017. 490 pp.

Science  14 Jul 2017:
Vol. 357, Issue 6347, pp. 138
DOI: 10.1126/science.aan4040

Source: science.sciencemag.org