# nest-programme.ac.uk - **Website:** - **Primary alias:** `nest-programme.ac.uk` ## Description NeST, or the Network Stochastic Processes and Time Series research collaboration, is an innovative mathematical initiative involving prominent institutions such as Imperial College, Oxford, Bath, LSE, York, and Edinburgh. Funded by a significant EPSRC programme grant along with support from various industry and government partners, NeST is dedicated to advancing the understanding of dynamic networks over a six-year period from 2022 to 2028. The collaboration unites experts in probability, statistics, and data science to explore the applications of network theory in diverse fields including medicine, transport, environmental protection, finance, biology, economics, cybersecurity, and AI safety. NeST's research efforts focus on creating robust models and statistical tools tailored for analyzing dynamic network data. Their projects encompass a variety of methodologies, including autoregressive network models, parameter estimation, and dynamic graph embeddings. In addition to ongoing research, NeST hosts informative events and seminars that bring together leading scholars to discuss innovative findings and provide the community with essential resources including datasets and software for practical analysis. ## Industries - ๐Ÿงช Science and Education - ๐Ÿงช Math _(under Science and Education)_ - ๐Ÿงช Universities and Colleges _(under Science and Education)_ ## Logos & icons - logo _(primary)_ โ€” PNG, SVG โ€” [download](https://cdn.brandfetch.io/idgQFX3yKU/w/820/h/199/theme/light/logo.png?c=1bxid64Mup7aczewSAYMX&t=1790239544559) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Blue Ribbon | #0048ff | accent | | Persian Green | #00a99d | dark | | White | #ffffff | light | ## Fonts - var(--bs-font-sans-serif) โ€” asset _(custom)_ - var(--bs-font-sans-serif) โ€” asset _(custom)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._