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Lukas T Kikuchi
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The results are in: the UK's four-day week pilot
K Lewis, W Stronge, J Kellam, L Kikuchi
Autonomy, 2023
242023
The Jobs at Risk Index (JARI)–Which occupations expose workers to COVID-19 most
L Kikuchi, I Khurana
London: Autonomy, 2020
18*2020
Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library
R Adhikari, A Bolitho, F Caballero, ME Cates, J Dolezal, T Ekeh, J Guioth, ...
arXiv preprint arXiv:2005.09625, 2020
152020
Ritz method for transition paths and quasipotentials of rare diffusive events
L Kikuchi, R Singh, ME Cates, R Adhikari
Physical Review Research 2 (3), 033208, 2020
122020
Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19
YI Li, G Turk, PB Rohrbach, P Pietzonka, J Kappler, R Singh, J Dolezal, ...
Royal Society Open Science 8 (8), 211065, 2021
82021
Public sector as pioneer: shorter working weeks as the new gold standard
P Jones, R Calvert Jump, L Kikuchi
Autonomy, 2020
22020
Rare events and dynamics in non-equilibrium systems
T Kikuchi
12024
Diffusivity dependence of the transition path ensemble
L Kikuchi, R Adhikari, J Kappler
arXiv preprint arXiv:2203.12947, 2022
12022
Making It Stick: The UK Four-Day Week Pilot One Year On
T Pignon, K Lewis, L Mullally, L Kikuchi, J Kellam, G Western, D Frayne, ...
2024
Cartan media: geometric continuum mechanics in homogeneous spaces
L Kikuchi, R Adhikari
arXiv preprint arXiv:2310.01388, 2023
2023
Data for" Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19"
YI Li, G Turk, P Rohrbach, P Pietzonka, J Kappler, R Singh, J Dolezal, ...
2021
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