Rethinking the "Conspiracy Crisis": Use and Misuse of "Conspiracy Theory" Labels After Covid‐19

Against the backdrop of the Covid-19 pandemic, this article undertakes a critical evaluation of a series of shortcomings of the view of conspiracy theories that is predominant among scholars and the general public. Reviewing numerous studies on the topic, we critically assess: (a) how justified the claim is that we are in a conspiracy-thinking emergency, (b) how the label of conspiracy theorist can be weaponized to delegitimize heterodox views, and (c) the practical consequences, for academic research and the well-functioning of democracies, of unpopular ideas being labeled as conspiratorial. The empirical sources reviewed here suggest that beliefs in conspiracy theories have not increased over time and are less consequential than commonly believed, even in times of a global pandemic. Instead, the concept of conspiracy theory has become more prevalent and its derogatory connotation evokes a stigma that tilts the democratic playing field against dissenting viewpoints. The stigmatization and political leveraging of this notion, we argue, lead to biases not only in the public discussion on various sensitive topics but also in the academic literature on conspiracy theories themselves. We analyze these academic blind spots in light of the diminishing political diversity in academia and recent perspectives on scientific censorship. We propose to complement the research on conspiracy theorists with an analysis of individuals at the opposite end of the spectrum, who are inclined to systematically trust institutional authorities and are highly prejudiced against heterodox opinions. Proposed solutions include promoting balanced news coverage, fostering critical thinking through debates, and piercing information bubbles to provide access to diverse perspectives

First Experience in the Mass Production of Components for the LHC Dipoles

This paper reports on the manufacturing features and difficulties experienced for the preliminary mass production of the main mechanical components of the dipole cold mass. The production of about 600 km of superconducting coil copper wedges, 5'000 coil layer jump spacers and boxes, 12'500'000 austenitic steel collars and 5'800'000 low-carbon yoke laminations is spread over 4 European countries and involves 6 manufactory firms. The general technical requirements for the manufacturing process as well as the imposed production checks and quality controls are reviewed. An overview of the preliminary results is presented with an outlook towards the analysis and statistical which are in a process to be implemented for the follow-up of the mass production

Projection-based measurement and identification

A recently developed Projection-based Digital Image Correlation (P-DVC) method is here extended to 4D (space and time) displacement field measurement and mechanical identification based on a single radiograph per loading step instead of volumes as in standard DVC methods. Two levels of data reductions are exploited, namely, reduction of the data acquisition (and time) by a factor of 1000 and reduction of the solution space by exploiting model reduction techniques. The analysis of a complete tensile elastoplastic test composed of 127 loading steps performed in 6 minutes is presented. The 4D displacement field as well as the elastoplastic constitutive law are identified. Keywords: Image-based identification, Model reduction, Fast 4D identification, In-situ tomography measurements. INTRODUCTION Identification and validation of increasingly complex mechanical models is a major concern in experimental solid mechanics. The recent developments of computed tomography coupled with in-situ tests provide extremely rich and non-destructive analyses [1]. In the latter cases, the sample was imaged inside a tomograph, either with interrupted mechanical load or with a continuously evolving loading and on-the-fly acquisitions (as ultra-fast X-ray synchrotron tomography, namely, 20 Hz full scan acquisition for the study of crack propagation [2]). Visualization of fast transformations, crack openings, or unsteady behavior become accessible. Combined with full-field measurements, in-situ tests offer a quantitative basis for identifying a broad range of mechanical behavior.Comment: SEM 2019, Jun 2019, Reno, United State

Spinfoams in the holomorphic representation

We study a holomorphic representation for spinfoams. The representation is obtained via the Ashtekar-Lewandowski-Marolf-Mour\~ao-Thiemann coherent state transform. We derive the expression of the 4d spinfoam vertex for Euclidean and for Lorentzian gravity in the holomorphic representation. The advantage of this representation rests on the fact that the variables used have a clear interpretation in terms of a classical intrinsic and extrinsic geometry of space. We show how the peakedness on the extrinsic geometry selects a single exponential of the Regge action in the semiclassical large-scale asymptotics of the spinfoam vertex.Comment: 10 pages, 1 figure, published versio

Introduction

Introductory chapter to the book The State of Open Data: Histories and Horizons

Towards Risk Modeling for Collaborative AI

Collaborative AI systems aim at working together with humans in a shared space to achieve a common goal. This setting imposes potentially hazardous circumstances due to contacts that could harm human beings. Thus, building such systems with strong assurances of compliance with requirements domain specific standards and regulations is of greatest importance. Challenges associated with the achievement of this goal become even more severe when such systems rely on machine learning components rather than such as top-down rule-based AI. In this paper, we introduce a risk modeling approach tailored to Collaborative AI systems. The risk model includes goals, risk events and domain specific indicators that potentially expose humans to hazards. The risk model is then leveraged to drive assurance methods that feed in turn the risk model through insights extracted from run-time evidence. Our envisioned approach is described by means of a running example in the domain of Industry 4.0, where a robotic arm endowed with a visual perception component, implemented with machine learning, collaborates with a human operator for a production-relevant task.Comment: 4 pages, 2 figure

Contraints on Matter from Asymptotic Safety

Recent studies of the ultraviolet behaviour of pure gravity suggest that it admits a non-Gaussian attractive fixed point, and therefore that the theory is asymptotically safe. We consider the effect on this fixed point of massless minimally coupled matter fields. The existence of a UV attractive fixed point puts bounds on the type and number of such fields.Comment: 5 pages, 2 figures, revtex4; introduction expande

Asymptotics of LQG fusion coefficients

The fusion coefficients from SO(3) to SO(4) play a key role in the definition of spin foam models for the dynamics in Loop Quantum Gravity. In this paper we give a simple analytic formula of the EPRL fusion coefficients. We study the large spin asymptotics and show that they map SO(3) semiclassical intertwiners into $SU(2)_L\times SU(2)_R$ semiclassical intertwiners. This non-trivial property opens the possibility for an analysis of the semiclassical behavior of the model.Comment: 14 pages, minor change

Transcriptomic characterization of bud dormancy in apple.

Resumo

The kernel and the injectivity of the EPRL map

In this paper we prove injectivity of the EPRL map for |\gamma|<1, filling the gap of our previous paper.Comment: 17 pages, 3 figure