Are these calls for papers currently accepting submissions?

Records are included only when the publisher source exposes a deadline on or after the database date. Authors should still verify the publisher page before submitting.

Do the pages replace journal submission guidelines?

No. The pages help researchers discover CFPs and generate research ideas, but submission rules, scope, fees, and reference style must be checked on the official publisher page.

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Data Science in Science call for papers

Current call-for-papers opportunities for Data Science in Science. Ranking signals: Indexed (Active). Use the official publisher page to verify scope and submission rules.

Accepting CFPs for Data Science in Science

Data Science at the Intersection of Health and the Environment

Deadline 2026-12-31Taylor & FrancisIndexed (Active)

Journal: Data Science in Science

Dear Colleagues, Environmental extremes, global population shifts, and growing pressure on natural resources are reshaping risk and health outcomes within tightly interdependent socio‑environmental systems. These dynamics influence disease patterns, exposure pathways, population vulnerability, and the stability, capacity, and infrastructure of communities and healthcare systems. Rapid advances in sensing technologie…

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Data Science for Particle and Nuclear Physics

Deadline 2026-12-31Taylor & FrancisIndexed (Active)

Journal: Data Science in Science

Dear Colleagues, Recent decades have seen exciting breakthroughs in the rapidly-evolving field of particle and nuclear physics, including the discovery of the Higgs boson and a growing understanding of rare phenomena. With massive planned developments on the High-Luminosity Large Hadron Collider, the Electron-Ion Collider and other facilities, there is an increasing need for novel data science methods that enable co…

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Data Science in Ecology

Deadline 2027-02-28Taylor & FrancisIndexed (Active)

Journal: Data Science in Science

Dear Colleagues, Biodiversity loss, climate change, and accelerating human pressures on natural systems have made the need to understand and predict ecological dynamics more urgent than ever. Ecology has simultaneously undergone a data revolution, shifting from small-scale, investigator-collected field observations to continent- and global-scale datasets generated by remote-sensing platforms, automated sensors, geno…

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Reference integrity note: verify every citation against the original source before submission, including publication year, journal title, volume/issue, page range, DOI, and the target journal style.