How to write a winning SSP application - focus on SSP7 topics

These presentations were introduced during the webinar session: "How to write a winning SSP application - focus on SSP7 topics" from CEN-CENELEC, ETSI and Vulnir showcasing and underlining the CRA priorities for the upcoming SSPs and the deliverables that ETSI and CEN-CENELEC are implementing in the Joint Work Programme.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-12
DOI
https://doi.org/10.5281/zenodo.15649485
Primary Topic
Mathematics, Computing, and Information Processing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How to write a winning SSP application - focus on SSP7 topics

Zenodo (CERN European Organization for Nuclear Research)
Mathematics, Computing, and Information Processing
article

How to write a winning SSP application - focus on SSP7 topics

article en

Abstract

These presentations were introduced during the webinar session: "How to write a winning SSP application - focus on SSP7 topics" from CEN-CENELEC, ETSI and Vulnir showcasing and underlining the CRA priorities for the upcoming SSPs and the deliverables that ETSI and CEN-CENELEC are implementing in the Joint Work Programme.

Zenodo (CERN European Organization for Nuclear Research)
Virginia University of Lynchburg (US), Trust IT Services (GB), Columbia Education (US), European Telecommunications Standards Institute (FR)
Openalex Percentile: Top 52%
Mathematics, Computing, and Information Processing
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.