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Thanks to the ongoing pandemic, the world is off-balance - and it will remain so for years to come. Far from settling into a 'new normal', we should expect a COVID-19 domino effect, triggering further disruptions - positive as well as negative ­- over the decade ahead.

Researchers at Kyoto University's Institute for Integrated Cell-Material Sciences (iCeMS) in Japan have designed a small 'body-on-a-chip' device that can test the side effects of drugs s on human cells. The device solves some issues with current, similar microfluidic devices and offers promise for the next generation of pre-clinical drug tests.

, we disentangle the relative contributions of three potential drivers of the observed distribution of clinical cases by age. We present a summary of the main findings, limitations and implications of

The COVID-19 pandemic has underscored the critical need for robust scientific evidence to support policy decisions, such as around the effectiveness of various social distancing measures and the safety of drug therapies. Yet this need arises at a time of growing misinformation and poorly vetted facts repeated by influential sources. To address this gap, a group of scientists led by Kai Ruggeri, a professor at Columbia University Mailman School of Public Health, and James Green, chief scientist at NASA, has introduced a new framework to help set standards for the quality of evidence used in policymaking.

The Spanish Crown had a monopoly on the trade route between Manila and Mexico for more than 250 years. The ships that sailed this route were "the richest ships in all the oceans", but much of the wealth sank at sea and remain undiscovered. This column uses a newly constructed dataset of all of the ships that travelled the route to show how monopoly rents that allowed widespread bribe-taking would have led to overloading and late ship departure, thereby increasing the probability of shipwreck. Not only were late and overloaded ships more likely to experience shipwrecks or to return to port, but the effect is stronger for galleons carrying more valuable, higher-rent cargo. This sheds new light on the costs of rent-seeking in European colonial empires.

Noise limits the performance of modern quantum technologies. However, particles traveling in a superposition of paths can bypass noise in communication. A collaboration between the Universities of Hong-Kong, Grenoble and Vienna, as well as the Austrian Academy of Sciences, under the lead of Philip Walther, reveals novel techniques to reduce noise in quantum communication. The results, published in the latest issue of Physical Review Research, demonstrate that quantum particles traveling in a superposition of paths enable noise reduction in communications.

new study uses satellite data over the Southern Hemisphere to understand global cloud composition during the industrial revolution. This research tackles one of the largest uncertainties in today's climate models-the long-term effect of tiny atmospheric particles on climate change.

BY NOW THERE'S little doubt about hydroxychloroquine: It doesn't work for treating Covid-19. But there's a bigger, more important lesson hidden in the story of its failure-a rarely-mentioned, but altogether crucial, error baked into the early research. The scientists who ran the first, promising laboratory experiments on the drug had used the wrong kind of cells: Instead of testing its effects on human lung cells, they relied on a supply of mass-produced, standardized cells made from a monkey's kidney. In the end, that poor decision made their findings more or less irrelevant to human health. Worse, it's possible that further research into novel Covid-19 cures will end up being compromised by the same mistake.

The introduction of the Internet rapidly enabled unprecedented global connectivity. In about two decades, communication became instantaneous, affordable, and independent of physical barriers. People, however, do not seem to be communicating with each other homogeneously. Online communication networks appear to be polarized and echo-chambers are manifesting for political1-5 and non-political6-9 reasons. Understanding the emergent structure of information flows on the Internet and its implications for the complexity of society is a challenge for scientists and technology developers. Mapping the organization of social systems is crucial for effective policy making involving ethnic groups10 as well as economic growth.11

This article traces the travel of biometric data of Syrian refugees in Jordan through a hastily evolving political economy characterized by a pervasive craving for the extraction, storage and brokering of displacement data. It analyzes iris-enrollment as problematic acts of quasi-citizenship for the displaced requiring the performance of social and economic docility in order to attain identity, cash and service provision. Quasi-objects in the form of digital footprints are fashioned through infrastructures that simultaneously seek to model, yet fail to capture, socioeconomic existence in displacement contexts. Discourses of anti-fraud, donor dictates, upward accountability and strategies of financial inclusion of 'the unbanked', facilitate the marketization of the creation of data-doubles in laboratories of displacement and loopholes for externalization. Driven by increasingly blurred lines between technological, humanitarian and financial interests, this development has transformative effects on both those displaced, and on a humanitarian sector tasked with safeguarding their rights.

The coronavirus offers an opening to change the world for the better, not least by undoing decades of neoliberalization to give vital professions in health care and education the appreciation they deserve. Unfortunately, as detailed in Naomi Klein's 'The Shock Doctrine', crises also offer ample opportunity for the established order to realize ambitions which are inconceivable in normal times. The global political economy before the outbreak of corona was defined by the rise of a global billionaire class, tech platforms, and illiberal(izing) nationalist politics, having jointly propelled a novel wave of (geo) political-economic restructuring which I have called neo-illiberalism. What will be the effects of coronavirus on this new status quo?

The analysis of questionnaires often involves representing the high-dimensional responses in a low-dimensional space (e.g., PCA, MCA, or t-SNE). However questionnaire data often contains categorical variables and common statistical model assumptions rarely hold. Here we present a non-parametric approach based on Fisher Information which obtains a low-dimensional embedding of a statistical manifold (SM). The SM has deep connections with parametric statistical models and the theory of phase transitions in statistical physics. Firstly we simulate questionnaire responses based on a non-linear SM and validate our method compared to other methods. Secondly we apply our method to two empirical datasets containing largely categorical variables: an anthropological survey of rice farmers in Bali and a cohort study on health inequality in Amsterdam. Compare to previous analysis and known anthropological knowledge we conclude that our method best discriminates between different behaviours, paving the way to dimension reduction as effective as for continuous data.

a paper recently published in Nature Sustainability, Grassini and Cassman propose a four-pronged prioritization framework for funders to use as they distribute research dollars to agricultural scientists pursuing the goal of sustainable intensification. That term refers to increasing yields of major food crops on existing farmland to avoid converting rainforests and wetlands for crop production, and doing so without negative effects on biodiversity, water and soil.

COVID-19 is a wicked problem for policy makers internationally as the complexity of the pandemic transcends health, environment, social and economic boundaries. Many countries are focusing on two key responses, namely virus containment and financial measures, but fail to recognise other aspects. The systems approach, however, enables policy makers to design the most effective strategies and reduce the unintended consequences. To achieve fundamental change, it is imperative to firstly identify the "right" interventions (leverage points) and implement additional measures to reduce negative consequences. To do so, a preliminary causal loop diagram of the COVID-19 pandemic was designed to explore its influence on socio-economic systems. In order to transcend the "wait and see" approach, and create an adaptive and resilient system, governments need to consider "deep" leverage points that can be realistically maintained over the long-term and cause a fundamental change, rather than focusing on "shallow" leverage points that are relatively easy to implement but do not result in significant systemic change

New research provides the first direct evidence for the Gulf Stream blender effect, identifying a new mechanism of mixing water across the swift-moving current. The results have important implications for weather, climate and fisheries because ocean mixing plays a critical role in these processes. The Gulf Stream is one of the largest drivers of climate and biological productivity from Florida to Newfoundland and along the western coast of Europe.

Scientists in Italy are investigating the mysterious appearance of pink glacial ice in the Alps, caused by algae that accelerate the effects of climate change.

In December 2019, the Coronavirus disease 2019 (COVID-19), caused by a novel coronavirus SARS-CoV-2, emerged in Wuhan, Hubei province, China1 and soon spread across the world. In this ongoing pandemic, public health concerns and the urgent need for effective therapeutic measures require a deep understanding of its epidemiology, transmissibility and pathogenesis. Here we analyzed the clinical, molecular and immunological data from 326 confirmed cases of COVID-19 in Shanghai. Genomic sequences of SARS-CoV-2 assembled from 112 quality samples together with sequences in the Global Initiative on Sharing All Influenza Data (GISAID) showed a stable evolution and suggested two major lineages with differential exposure history during the early phase of the outbreak in Wuhan. Nevertheless, they exhibited similar virulence and clinical outcomes. Lymphocytopenia, especially the reduced CD4+ and CD8+ T cell counts upon admission, was predictive of disease progression. High levels of IL-6 and IL-8 during treatment were observed in patients with severe or critical disease and correlated with decreased lymphocyte count. The determinants of disease severity seemed to stem mostly from host factors such as age, lymphocytopenia, and its associated cytokine storm, whereas viral genetic variation did not significantly affect the outcomes.