ESPIDAM, the European Summer Program in Infectious Disease Analysis and Modelling

June 2026 for PhD students, Post Docs, Public Health scientists and others interested, supported by Stockholm University and the Nordic Research Council NordForsk.

https://www.statistics.su.se/english/divisions/department-of-mathematics/research/conferences-and-seminars/espidam-the-european-summer-program-in-infectious-disease-analysis-and-modelling

Bottom-up mesoscopic coarse-graining of soft matter
https://www.nature.com/articles/s42254-025-00915-4

US science after a year of Trump

A series of graphics reveals how the Trump administration has sought historic cuts to science and the research workforce.

go.nature.com/4jSm0ui

William Bialek: Scaling, criticality, and the statistical physics of biological networks - Class 1
School on biological physics across scales: phase transitions

https://youtu.be/QK2SCwNHzaA

Other lectures: https://www.ictp-saifr.org/sbpas2026/

Transmission Networks and Intervention Effects From SARS-CoV-2 Genomic and Social Network Data in Denmark

https://www.medrxiv.org/content/10.64898/2026.01.08.26343683v1

Decision-making by governments during disease outbreaks is increasingly reliant on large-scale pathogen genomics and detailed individual-level data. We use 293,841 SARS-CoV-2 genomes collected in Denmark, between September 1st 2020 and December 31st 2021, and combine these with comprehensive individual-level data on settings, including households, schools, workplaces and family relationships, to infer plausible transmission pathways. Next, we use the plausible transmission pathways to assess the effectiveness of specific non-pharmaceutical interventions (NPIs) and quantify transmission heterogeneities, providing a more detailed understanding than is possible from aggregate national estimates. School restrictions were associated with reduced community transmission; face coverings and gathering restrictions were associated with reduced transmission across all settings. We find that those vaccinated with two doses, compared to the unvaccinated, had onward transmission reduced by 23.5% (95% highest posterior density interval: 21.5-25.2%). Our proposed approach is pathogen agnostic, and can be used in future outbreaks where genomic data and data on social relationships are available.

ISCS 2026 invites applications and nominations for two awards recognizing outstanding early-career contributions in Complex Systems.

Doctoral Student Award
Submission deadline: March 11, 2026

This award is open to Ph.D. students and aims to highlight promising doctoral research. Candidates are invited to present their work in a five-minute video addressed to a lay audience. The presentation should be clear, accessible, and convincing.

More information and submission details:
https://iutdijon.u-bourgogne.fr/ccs-france/call-doctoral-student-award/

Young Researcher Award
Submission deadline: March 11, 2026

This award recognizes early-career researchers (up to five years after Ph.D. defense) who have made significant contributions and demonstrated leadership in Complex Systems related fields.

More information and nomination details:
https://iutdijon.u-bourgogne.fr/ccs-france/call-young-resarcher-award/