Events & Engagement

This webinar focused on how to respond to the changing data landscape that affects food and agricultural research. The session explored how to contribute to a community-driven roadmap for improving the accessibility, transparency, and utility of food and agricultural data.

Birds of a Feather session at The International Conference for High Performance Computing, Networking, Storage, and Analysis discussing democratizing access to AI-ready data.

The symposium to celebrate the 5th anniversary of Harvard Data Science Review (HDSR) showcased an exciting series of talks and panel discussions devoted to AI.

This workshop introduced the DemocratizingData.ai platform and the uses of its dashboard to research-oriented agricultural economists to gain insights from the usage of USDA data.

View the recordings and the presentation slides from the Harvard Data Science Review's Democratizing Data webinar series.

The ZBW Open Science Retreat discussed current challenges in implementing Open Science, focusing on cooperation between academia and commercial providers.

Session on Democratizing Data: A Search and Discovery Platform for Public Data Assets with contributions from multiple federal agencies.

Julia Lane and Nancy Potok gave the opening and closing statements at the Make Data Count Summit, promoting open data metrics for research data reuse evaluation.

Julia Lane gave a keynote talk at the Workshop to Discuss the NIST Research Data Framework (RDaF) on data democratization.

An online USDA/ ERS & NASS Democratizing Data Joint Info Session showcasing our platform and tools.

Virtual conference showcasing results from the Kaggle competition and demonstrating how federal agencies can use AI and ML to document and understand public use of their data for research.

Two-day virtual conference advancing understanding of the value of data by showcasing new data, products and use resulting from recent NCSES investments.

Global machine learning competition challenging over 1,600 data science teams to develop AI and ML approaches for identifying dataset usage in research publications.

Workshop focused on developing rich context for research datasets and improving data discovery and usage tracking methodologies.