Definition: Wiscnet is a system developed by the Wisconsin Data Science Institute (WDSI), based at the University of Wisconsin-Madison. The WISCNet platform is designed to help researchers, educators, and decision makers in the U.S. state of Wisconsin develop innovative data science projects. It can be used for developing predictive models, using machine learning algorithms, and creating interactive visualizations.
Here's a more detailed definition:
Wiscnet (pronounced "weck-net") is an open-source platform that allows researchers to share their datasets and collaborate on collaborative research projects using a system developed by the Wisconsin Data Science Institute (WDSI). The platform provides a user-friendly interface for importing, analyzing, visualizing, and communicating data from various sources.
Wiscnet features include:
- An online interface where users can access and create interactive maps
- A dashboard that displays historical datasets to aid researchers in understanding trends over time
- A set of pre-built modules and tools for different types of research projects
- Support for data visualization with options to edit, add or remove elements
- Interactive data analysis and modeling capabilities
The Wiscnet platform is designed to facilitate interdisciplinary research and collaboration within the Wisconsin Data Science community. It's a hub where researchers can share their data, learn from each otherβs work, and gain insights into innovative approaches to data science.
In summary, Wiscnet is a system that provides researchers with an easy-to-use interface for sharing datasets, building predictive models using machine learning algorithms, and creating interactive visualizations of data. Its features include online access to historical datasets, pre-built modules, support for visualization, and collaborative environments among researchers in the Wisconsin Data Science community.
wiscnet