Events and press
Last updated
Last updated
Make Data Count.
Redivis is featured on the Make Data Count blog, where Stanford's Director of Open Scholarship Strategy Zach Chandler uses Redivis to explore and analyze data citations.
Mika Braginsky | Stanford
Mika Braginsky built an interactive data dashboard that uses the Redivis platform as a backend for hosting the underlying data.
UCLA Library | FORCE11 '24 Conference
Redivis CEO Ian Mathews co-presented with Graham Straus from UCLA about the way UCLA Library has worked to curate and distribute the L2 Voter File dataset in an accessible, secure format. Redivis allowed us at UCLA to compile 3.4 terabytes of national voting data into a single table that undergraduates, graduates, and faculty can access and easily work with in a secure environment.
Stanford Graduate School of Business | PEARC 2024 Conference
Redivis CEO Ian Mathews co-presented with Alex Storer from Stanford GSB Library about their paper written on the use case administering data for business school researchers.
Stanford Center for Population Health Sciences | Journal of Clinical and Translational Sciences
Stanford Center for Population Health Sciences | Workshop
Redivis CEO Ian Mathews presented the Redivis platform as a tool for data discovery and analysis, with a small exploration of ML workflows.
Learn how to utilize Redivis, a data platform used to store and query data on the PHS Data Portal, for every stage of your analytical workflow. This presentation will showcase common methodologies in working with large claims datasets, including scalable cohort generation and analytical workflows in R, Python, Stata and SAS. The session will conclude with an exploration of using modern ML techniques to classify patient notes and other unstructured data.
Stanford Graduate School of Business Library | Workshop
Redivis CEO Ian Mathews co-presented with Alex Storer from the Stanford GSB's Data, Analytics, and Research Computing (DARC) group about running ML and AI Models on Redivis.
This training includes a walkthrough on how to get started coding ML and AI projects.
Carnegie Mellon Libraries | Workshop
The Carnegie Mellon Libraries shared how they are using Redivis to offer datasets and data hosting across campus.
Georgetown Environmental Impact Data Collaborative | Workshop
The Massive Data Institute (MDI) in Georgetown's McCourt School of Public Policy harnesses modern data and computing power to produce cutting edge social science, computer science, and data science research that improves public policy decision making.
The Environmental Impact Data Collaborative group within MDI hosted an event to talk about their mission and the resources they'd built using Redivis to accomplish it.
