February 12, 2026 — Taylor & Francis has launched two new special issues aimed at advancing research at the intersection of data science and two high-impact domains: particle physics and health & environmental studies. Scholars, practitioners, and interdisciplinary teams are encouraged to submit manuscripts ahead of the August/September 2026 deadlines.
Advancing Data Science in Particle and Nuclear Physics
The first special issue, “Data Science for Particle and Nuclear Physics,” invites submissions that push the boundaries of modern data‑driven discovery in some of science’s most complex experimental environments. The call highlights the field’s acceleration, driven by discoveries such as the Higgs boson and by major upcoming infrastructure developments including the High-Luminosity Large Hadron Collider and the Electron-Ion Collider.
This issue seeks innovative contributions in areas such as:
- High‑dimensional inference and uncertainty quantification
- Surrogate modeling for computationally intensive event generators
- Simulation‑based and likelihood‑free inference
- Scalable anomaly detection for new particle discovery
- Novel machine‑learning and AI foundations tailored to particle physics
The issue is edited by a distinguished international team from Duke University, Nikhef, Carnegie Mellon University, Stanford University, and Cornell University. Manuscripts are due by September 15, 2026.
New Issue on Data Science for Health and the Environment
The second special issue, “Data Science for Health & Environment,” has also been launched and is seeking broad participation across the research community. While detailed public information did not appear in our search results, the theme signals a focus on how data‑driven methodologies can illuminate connections between environmental conditions and human health—an area of increasing urgency as global climate impacts intensify.
The issue aims to draw contributions from experts in public health, environmental science, epidemiology, spatial data science, and computational modeling. Submissions are encouraged ahead of the late summer deadlines, aligning with the overall Aug/Sept submission window highlighted by the organizers.
Growing Role of Data Science Across Disciplines
The launch of these two special issues underscores Taylor & Francis’s commitment to fostering cross‑disciplinary collaboration in data science. As scientific datasets grow in complexity and scale, specialized forums like these provide a vital platform for disseminating cutting‑edge methods and actionable insights.
Researchers interested in contributing can find the official calls here:
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Data Science for Particle Physics:
https://think.taylorandfrancis.com/special_issues/data_science_particle_physics/ -
Data Science for Health & Environment:
https://think.taylorandfrancis.com/special_issues/data-science-health-environment/