Filtyp
Recent advances in artificial intelligence (AI) have renewed debates about the future of leadership, in particular the nature of the relationship between human leaders and intelligent machines. The literature tends to portrays human-machine relations in complementary terms: the machine does the data analysis and the number crunching while the leader makes the decisions, guided by their unique visi
In this article, we investigate how wealth evolved across social classes following land-encroachment policies implemented in Sonora in the late nineteenth century. Using a database of will inventories from Sonora, we find that the upper class saw large wealth gains following a policy shift, enabling encroachment, but not for other social groups. This indicates that access to previously indigenous
Introduction: This study investigates clinical reported challenges and ethical-professional considerations related to the use of the International Trauma Interview (ITI) and International Trauma Exposure Measure (ITEM) with trauma-affected refugees in Denmark. These instruments were implemented in 2023 across several Danish refugee rehabilitation clinics to screen for trauma and assess ICD-11 PTSD
We initiate a systematic study of TFZPP, the class of total NP search problems solvable by polynomial time randomized algorithms. TFZPP contains a variety of important search problems such as Bertrand-Chebyshev (finding a prime between N and 2N), refuter problems for many circuit lower bounds, and Lossy-Code. The Lossy-Code problem has found prominence due to its fundamental connections to derando
We study the problem of testing whether a function f:ℝⁿ → ℝ is linear (i.e., both additive and homogeneous) in the distribution-free property testing model, where the distance between functions is measured with respect to an unknown probability distribution over ℝⁿ. We show that, given query access to f, sampling access to the unknown distribution as well as the standard Gaussian, and ε > 0, we ca
We introduce and develop a new semi-algebraic proof system, called Stabbing Planes that is in the style of DPLL-based modern SAT solvers. As with DPLL, there is only one rule: the current polytope can be subdivided by branching on an inequality and its "integer negation." That is, we can (nondeterministically choose) a hyperplane a x >= b with integer coefficients, which partitions the polytope in
We study the computational complexity of the Viterbi alignment and relaxed decoding problems for IBM model 3, focusing on the problem of finding a solution which has significant overlap with an optimal. That is, an approximate solution is considered good if it looks like some optimal solution with a few mistakes, where mistakes can be wrong values (such as a word aligned incorrectly or a wrong wor
Schíma – morphḗ – íchos is a reactive installation-performance that brings together visual, physical and sonic dimensions to explore ways of coping with a changing environment. The material history of nine objects crafted from steel is negotiated anew in the present tense, through the eyes, hands and ears of the two performers and the audience.The objects presented in this installation-performance
This project investigates how power operates as performative in the everyday work experiences of employees of different ethnic backgrounds in a multinational organization. Rather than treating power as a stable possession held by individuals or institutions, the study conceptualizes power as enacted, reproduced, and negotiated through routine individual and organizational practices. For migrants t
Focusing on how environmental stressors intersect with socioeconomic vulnerabilities to shape migratory patterns, this study examines the relationship between climate change and youth (im)mobility in Ethiopia. It examines how climate shocks—including droughts, unpredictable rainfall, and land degradation—heighten household insecurity and shape young people’s migration decisions. Using mixed-method
Drylands are water-limited systems that collectively sustain hundreds of millions of people, yet land–atmosphere feedbacks such as terrestrial moisture recycling remain poorly quantified. In particular, the origins of precipitation in China's drylands and their atmospheric water vapor budgets remain unclear. Here we use a Lagrangian moisture-tracking model to quantify atmospheric moisture sources
Background: Breast cancer diagnoses are limited in low- and middle-income settings due to lack of medical resources. In these settings, point-of-care ultrasound (POCUS) combined with artificial intelligence (AI)-based interpretation could be a suitable approach. Purpose: To compare the performance of an AI-based breast cancer classification algorithm with radiologists and assess whether POCUS perf
