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Methods for the transformation of plastics into materials with value, known as plastic waste upcycling, are outlined, and their advantages and challenges in terms of a sustainable plastics economy are discussed.
An assessment of the land-to-ocean cycling of carbon through inland waters, estuaries, tidal wetlands and continental shelf waters provides a perspective on the global carbon cycle and identifies key knowledge gaps.
The concept of 'Embodied Energy'—in which the components of a robot or device both store energy and provide a mechanical or structural function—is put forward, along with specific robot-design principles.
The Dog Aging Project is an open-data, community science study to identify genetic, environmental and lifestyle factors associated with canine healthy lifespan, generating knowledge that could readily translate to human ageing.
The economic, technical, environmental and safety requirements of battery-powered aircraft are considered, and promising technologies and future prospects for battery innovation are discussed.
High-temperature, high-acidity and low-oxygen extremes may pose a particular threat to marine ecosystems, requiring a major effort to understand them and the ability of marine life to respond to them.
In this Perspective, a group representing a range of stakeholders makes the case for a set of five proposed globally applicable ethical guidelines for ancient human DNA research.
Computing approaches based on mechanical mechanisms are discussed, with a view towards a framework in which adaptable materials and structures act as a distributed information processing network.
This Perspective outlines the Human Developmental Cell Atlas initiative, which uses state-of-the-art technologies to map and model human development across gestation, and discusses the early milestones that have been achieved.
This Perspective reviews the recent technical developments in the components of the fuel cell stack in proton-exchange membrane fuel cell vehicles and outlines the road towards large-scale commercialization of such vehicles.
This Perspective discusses possible future patterns of SARS-CoV-2 infection, the development of variants, potential changes in the patterns of spread and the implications for vaccine deployment and the potential consequences of these issues for the development of policy.
The combination of computational and social sciences requires the integration of explanatory and predictive approaches into ‘integrative modelling’, according to Hofman and colleagues.
This Perspective discusses the challenges for social science practices imposed by the ubiquity of algorithms and large-scale measurement and what should—and should not—be measured in societies pervaded by algorithms.
The use of new datastreams and local knowledge to shed light on social aspects of disease transmission will allow more accurate modelling and prediction of epidemics.
The ability of people to understand the thoughts and actions of others—known as social sensing—can be combined with computational social science to advance research into human sociality.
Approaches for the management, use and analysis of large-scale behavioural datasets that were not originally intended or created for research are described.
Inanimate matter is beginning to show some signs of basic intelligence—the ability to sense, actuate and use memory, as controlled by an internal communication network in functional materials.
This Perspective discusses how high-energy-density physics could tap the potential of AI-inspired algorithms for extracting relevant information and how data-driven automatic control routines may be used for optimizing high-repetition-rate experiments.
This Perspective discusses how the Somatic Cell Genome Editing Consortium aims to accelerate the implementation of safe and effective genome-editing therapies in the clinic.