PITCH NESUG
Pitch a story for NESUG
We welcome pitches from practitioners, researchers, and first-time writers across data science, AI/ML, statistical computing, cybersecurity, cloud, and digital innovation. Bring us practical guides, original analysis, or reported perspectives that help readers understand what’s next—and what to do about it.
SUBMISSION GUIDELINES
01
Lead with a specific idea
Open with a working headline and a one-sentence thesis. Then tell us what the reader will learn, why it matters now, and who it’s for. The best pitches are narrow enough to be actionable (a method, workflow, case study, or argument) rather than a broad overview of a topic.
02
Show your evidence and angle
Cite key sources, link to relevant research, and be clear about what’s original: a dataset you analyzed, a system you built, results you observed, or interviews/field experience. If you’re proposing a tutorial, include the stack (tools, cloud, libraries) and what readers should be able to reproduce.
03
Propose a realistic scope
Include an estimated word count and outline (5–8 bullets is perfect). Most features land best at 1,200–2,500 words, but we’ll consider shorter explainers and longer deep dives when the structure is tight. Flag any charts, code snippets, or visuals you can provide.
GOOD TO KNOW
We review every pitch. If it’s a fit, we’ll reply with next steps—usually within 7–10 business days. If you haven’t heard back after two weeks, feel free to follow up with a short note and your original pitch.
If we accept your pitch, we’ll confirm the rate and terms before you draft. Payment is issued on publication (or per agreed milestone for larger packages). Please include your preferred name and invoicing details once a piece is commissioned.
Pitch FAQ
We typically respond within 5–10 business days. If we’re a fit, we’ll reply with next steps (angle, scope, and timeline). If you’re pitching around a newsy event or a tight deadline, say so up front and include the ideal publish window so we can triage quickly.
We’re most excited by practical, well-scoped ideas in data science, AI/ML, statistical computing, cybersecurity, cloud, and emerging tech—especially pieces that teach something or offer a strong perspective. For what to include (and how we evaluate), see our pitch guidelines.
Preferably not. A short pitch helps us align on the thesis, audience, and level (intro, intermediate, advanced) before you invest time writing. If you already have a draft, summarize it, share an outline, and explain why it’s timely and useful for NESUG readers.
Sometimes, but only with clear rights to reuse it and a strong reason it benefits our readers. Tell us where it appeared, what you’d update or expand for NESUG, and whether it’s been indexed widely. We prioritize original reporting, fresh analysis, and new tutorials.