output
20182020
most citedArtificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration

280 citations

5 papers

gr-qc2020★ 4 cited

Quasilocal conservation laws in cosmology: a first look

Marius Oltean, Hossein Bazrafshan Moghaddam, Richard J. Epp

Quasilocal definitions of stress-energy-momentum---that is, in the form of boundary densities (in lieu of local volume densities)---have proven generally very useful in formulating…

gr-qc2020★ 3 cited

Energy of cosmological spacetimes and perturbations: a quasilocal approach

Marius Oltean, Hossein Bazrafshan Moghaddam, Richard J. Epp

Quasilocal definitions of stress-energy-momentum -- that is, in the form of boundary densities (rather than local volume densities) -- have proven generally very useful in formulat…

physics.soc-ph2019★ 95 cited

Defining a historic football team: Using Network Science to analyze Guardiola's F.C. Barcelona

J. M. Buldu, J. Busquets, I. Echegoyen +1

The application of Network Science to social systems has introduced new methodologies to analyze classical problems such as the emergence of epidemics, the arousal of cooperation b…

cs.AI2018★ 280 cited

Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration

Slava Jankin Mikhaylov, Marc Esteve, Averill Campion

Public sector organisations are increasingly interested in using data science and artificial intelligence capabilities to deliver policy and generate efficiencies in high uncertain…

physics.soc-ph2018★ 92 cited

Using network science to analyze football passing networks: dynamics, space, time and the multilayer nature of the game

J. M. Buldú, J. Busquets, J. H. Martínez +4

From the diversity of applications of Network Science, in this Opinion Paper we are concerned about its potential to analyze one of the most extended group sports: Football (soccer…