#PhD Fellowship in Interdisciplinary Research on Misinformation and Pandemics
https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1310&ProjectId=147740&DepartmentId=18971&MediaId=5&SkipAdvertisement=False
https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1310&ProjectId=147740&DepartmentId=18971&MediaId=5&SkipAdvertisement=False
#PhD openings in Network Science – Minimal Subtraction
https://minimalsubtraction.net/ph-d-openings-in-network-science/
https://minimalsubtraction.net/ph-d-openings-in-network-science/
Minimal Subtraction
Ph.D. openings in Network Science
Job description: We’d like to announce applications for two Ph.D. positions associated with the NWO (ENW-M2) funded project `Redefining renormalization for complex networks’ to commence…
What is emergence, after all?
https://arxiv.org/abs/2507.04951
We hear the word #emergence a lot—in science, philosophy, even everyday conversation—but what does it really mean? In this perspective paper, we take a clear-eyed look at emergence as it manifests in real systems, ranging from flocking birds to magnets to herd immunity in social networks. We explain how complex behaviors and patterns can emerge from simple parts interacting locally, and why these large-scale phenomena often can’t be easily understood just by looking at the pieces alone. Instead of getting lost in buzzwords, we break down the idea using concrete examples, showing that emergence isn’t magic—it’s measurable, physical, and beneficial for making sense of the multi-layered complex world we live in.
https://arxiv.org/abs/2507.04951
We hear the word #emergence a lot—in science, philosophy, even everyday conversation—but what does it really mean? In this perspective paper, we take a clear-eyed look at emergence as it manifests in real systems, ranging from flocking birds to magnets to herd immunity in social networks. We explain how complex behaviors and patterns can emerge from simple parts interacting locally, and why these large-scale phenomena often can’t be easily understood just by looking at the pieces alone. Instead of getting lost in buzzwords, we break down the idea using concrete examples, showing that emergence isn’t magic—it’s measurable, physical, and beneficial for making sense of the multi-layered complex world we live in.
👍6
Springer Nature book on machine learning is full of made-up citations
https://retractionwatch.com/2025/06/30/springer-nature-book-on-machine-learning-is-full-of-made-up-citations/
https://retractionwatch.com/2025/06/30/springer-nature-book-on-machine-learning-is-full-of-made-up-citations/
Retraction Watch
Springer Nature book on machine learning is full of made-up citations
Would you pay $169 for an introductory ebook on machine learning with citations that appear to be made up? If not, you might want to pass on purchasing Mastering Machine Learning: From Basics to Ad…
two #PhD studentships in real-time infectious disease modelling
https://www.lshtm.ac.uk/study/fees-and-funding/funding-scholarships/research-degree-funding/phd-studentships-real-time-infectious-disease-modelling
https://www.lshtm.ac.uk/study/fees-and-funding/funding-scholarships/research-degree-funding/phd-studentships-real-time-infectious-disease-modelling
LSHTM
PhD studentships in real-time infectious disease modelling | LSHTM
The London School of Hygiene & Tropical Medicine (LSHTM), Imperial College London and the UK Health Security Agency (UKHSA) are pleased to invite applications for two PhD studentships in real-time
#Postdoc Researcher on alignment of MMFM with ethical, legal, and social values. Specifically, Oxford Internet Institute
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=180757
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=180757
Strength and weakness of disease-induced herd immunity in networks
https://www.pnas.org/doi/10.1073/pnas.2421460122
What if #herd_immunity isn’t just about how many people are immune, but how they’re 'spatially' connected? Our new PNAS paper explores this concept. We show how the topology and geometry of social networks influence the dynamics of herd immunity, whether it arises from infection or #vaccination.
Here is a less technical blog post for a more general reader: abbas.sitpor.org/2025/07/10/the-spatial-puzzle-of-herd-immunity
https://www.pnas.org/doi/10.1073/pnas.2421460122
What if #herd_immunity isn’t just about how many people are immune, but how they’re 'spatially' connected? Our new PNAS paper explores this concept. We show how the topology and geometry of social networks influence the dynamics of herd immunity, whether it arises from infection or #vaccination.
Here is a less technical blog post for a more general reader: abbas.sitpor.org/2025/07/10/the-spatial-puzzle-of-herd-immunity
👍3
Complex Systems Studies
Strength and weakness of disease-induced herd immunity in networks https://www.pnas.org/doi/10.1073/pnas.2421460122 What if #herd_immunity isn’t just about how many people are immune, but how they’re 'spatially' connected? Our new PNAS paper explores this…
Audio
Strength and Weakness of Disease-induced Herd Immunity in Networks
During the COVID-19 pandemic, several studies suggested that the spread of infection might induce herd immunity more easily than previously thought due to population heterogeneity. However, these studies relied on differential equation-based epidemic models, which cannot account for correlations between individuals. We reexamine the effect of disease-induced herd immunity using individual-based contact network models. We find that herd immunity is weaker when such correlations are taken into account, so much so that the conclusions of the previous studies may be overturned. This effect is especially pronounced when the contact network is spatially embedded. Our results highlight the importance of considering network effects in policy decisions that affect the lives and well-being of millions in future pandemics.
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During the COVID-19 pandemic, several studies suggested that the spread of infection might induce herd immunity more easily than previously thought due to population heterogeneity. However, these studies relied on differential equation-based epidemic models, which cannot account for correlations between individuals. We reexamine the effect of disease-induced herd immunity using individual-based contact network models. We find that herd immunity is weaker when such correlations are taken into account, so much so that the conclusions of the previous studies may be overturned. This effect is especially pronounced when the contact network is spatially embedded. Our results highlight the importance of considering network effects in policy decisions that affect the lives and well-being of millions in future pandemics.
Generated by Google NotebookLM