Open platforms

ISC-PIF is promoting science commons through the development of open platforms and tools for the complex systems community. All softwares and data are published under open licences like GNU GPLV3, MIT, Creative Commons 3., etc. to favorize open data and foster reproducibility. Priority access is given to ISC-PIF partners in case of limited resources.

Gargantext

Gargantext is a web service that combines advanced text-mining, network analysis and interactive visualisation to provide new forms of interactions with your corpora.
Create knowledge maps, science maps, write a state-of-the-art, etc. in few minutes.

Multivac Platform

Multivac Platform aims at helping scientific community to overcome large-scale datasets challenges. Our existing datasets are available in verity of structured, semi-structured and unstructured. Our infrastructure streams millions of data every day ; therefore, big data architectures are designed and implemented to not only help our internal projects and team members but also to allow other scientists and researchers to take advantage of our amazing services in scale of billions of data.

ISCope

ISCope is a project that gathers the platforms of social macroscopy developed at ISC-PIF : ClimatoscopeMapping Controversies, PolitoscopeRisk Research.

LinkRbrain

A collaborative platform for multi-scale integration of knowledge on the brain. From automated meta-analysis of more than 5,000 articles published in brain imaging, it integrates cognitiv, genetic, and anatomical data. LinkRbrain allows users to visualize functional networks or/and genetic expression over a standard brain template (MNI152). Interrelationships between these components based on topographical overlap are displayed using relational graphs. Moreover, linkRbrain enables comparison of new experimental results with previous published works.

Open Mole

With the big data era, modelers are building computation codes that are increasingly complex, which makes it very difficult for researchers to understand their own models behavior, whilst processing data on personal machines has become impossible. OpenMOLE (Open MOdeL Experiment) makes it simple to execute your programs on distributed computing environments. If you want to execute the same program for many different inputs (parameters or datasets), OpenMOLE is the tool that you need. The typical usage of OpenMOLE are high performance model calibration, model exploration, machine learning, optimization, data processing.