77 citations · 152 across the 12 of their papers we have counts for
13 papers
Credit Access is Associated with Improved Food Security in the Horn of Africa
Jordi Cerdà-Bautista, Vasileios Sitokonstantinou, José Manuel Veiga López-Peña +3
The intensification of climate change poses a growing threat to food security, especially in vulnerable communities. This study employs an observational machine-learning framework…
Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys
Federica Sibilla, Vasiliki Voukelatou, Duccio Piovani +4
Data scarcity limits inference in many scientific and policy domains. Survey data are essential for decision-making, but sparse samples often fail to capture fine spatial granulari…
Mapping Subnational Vulnerability to Inadequate Micronutrient Intake using a Bayesian Small Area Estimation Framework
Sahoko Ishida, Mohammed Osman, Ziyao Cui +8
Inadequate dietary micronutrient intake is a significant risk factor for deficiency and remains a major global health challenge. Nutrition programmes and interventions are most eff…
Real-time small area estimation of food security in Zimbabwe: integrating mobile-phone and face-to-face surveys using joint multilevel regression and poststratification
Sahoko Ishida, Adam Howes, Valerie Bradley +14
Real-time, fine-grained monitoring of food security is essential for enabling timely and targeted interventions, thereby supporting the global goal of achieving zero hunger - a key…
Forecasting trends in food security with real time data
Joschka Herteux, Christoph Räth, Giulia Martini +4
Early warning systems are an essential tool for effective humanitarian action. Advance warnings on impending disasters facilitate timely and targeted response which help save lives…
Measuring Accessibility using Gravity and Radiation Models
Duccio Piovani, Elsa Arcaute, Gabriela Uchoa +2
Since the presentation of the Radiation Model, much work has been done to compare its findings with those obtained from Gravitational Models. These comparisons always aim at measur…
Relating high dimensional stochastic complex systems to low-dimensional intermittency
Alvaro Diaz-Ruelas, Henrik Jeldtoft Jensen, Duccio Piovani +1
We evaluate the implication and outlook of an unanticipated simplification in the macroscopic behavior of two high-dimensional sto-chastic models: the Replicator Model with Mutatio…
Urban retail dynamics: insights from percolation theory and spatial interaction modelling
Duccio Piovani, Carlos Molinero, Alan Wilson
The study of the properties and structure of a city's road network has for many years been the focus of much work, as has the mathematical modelling of the location of its retail a…
Quantifying Retail Agglomeration using Diverse Spatial Data
Duccio Piovani, Vassilis Zachariadis, Michael Batty
Newly available data on the spatial distribution of retail activities in cities makes it possible to build models formalized at the level of the single retailer. Current models tac…
Tangent map intermittency as an approximate analysis of intermittency in a high dimensional fully stochastic dynamical system: The Tangled Nature model
Alvaro Diaz-Ruelas, Henrik Jeldtoft Jensen, Duccio Piovani +1
It is well known that low-dimensional nonlinear deterministic maps close to a tangent bifurcation exhibit intermittency and this circumstance has been exploited, e.g. by Procaccia…
Transitions in systems with High-Dimensional Stochastic Complex Dynamics: Monitoring and Forecasting
Duccio Piovani, Jelena Grujic, Henrik Jeldtoft Jensen
We analyst in detail a new approach to the monitoring and forecasting of the onset of transitions in high dimensional complex systems (see Phys. Rev. Lett . vol. 113, 264102 (2014)…
Forecasting transitions in systems with high dimensional stochastic complex dynamics: A Linear Stability Analysis of the Tangled Nature Model
Andrea Cairoli, Duccio Piovani, Henrik Jeldtoft Jensen
We propose a new procedure to monitor and forecast the onset of transitions in high dimensional complex systems. We describe our procedure by an application to the Tangled Nature m…
Dynamical maximum entropy approach to flocking
Andrea Cavagna, Irene Giardina, Francesco Ginelli +4
We derive a new method to infer from data the out-of-equilibrium alignment dynamics of collectively moving animal groups, by considering the maximum entropy distribution consistent…