SAGE3 - the Scalable Amplified Group Environment (2025)
| Title: | SAGE3 - the Scalable Amplified Group Environment (2025) |
|---|---|
| Authors: | Jason Leigh; Chris North; Luc Renambot; Ryan Theriot; Andrew Johnson; lance long; mahdi belcaid; nurit kirshenbaum; Jesse Harden; christopher lee; roderick tabalba |
| Publication Year: | 2025 |
| Collection: | The University of Auckland: Figshare |
| Subject Terms: | Bioinformatics and computational biology not elsewhere classified; Computer gaming and animation; Digital and electronic media art; Interactive media; Adverse weather events; Atmospheric dynamics; Ecohydrology; Groundwater hydrology; Biological oceanography; Applications in arts and humanities; Applications in life sciences; Applications in physical sciences; Applications in social sciences and education; Applied computing not elsewhere classified; Artificial intelligence not elsewhere classified; Collaborative and social computing; Computing education; Human-computer interaction; Information visualisation; Mixed initiative and human-in-the-loop; Pervasive computing; Human-centred computing not elsewhere classified; collaborative work practices and information technology; Large Display Environments; visualization capability; artificial intelligence; Computer Supported Cooperative Work (CSCW); Cyberinfrastructure Development; Cyberinfrastructure |
| Description: | With the emergence of Artificial Intelligence, it’s becoming essential for everyone—not just scientists and students—to harness its potential to stay competitive, think more critically, and drive innovation in a rapidly evolving world. SAGE3 is an open-source platform designed to help individuals and teams collaborate effectively—with each other and with AI—to accelerate the process of understanding, problem-solving, and discovery. It empowers everyday citizens to become smarter and more innovative by making complex information more accessible and actionable. Developed from over 20 years of National Science Foundation–funded research, SAGE3 is grounded in a deep understanding of how people work together across disciplines and interact with diverse streams of data. SAGE3 supports translational and convergent research , making it ideal for integrating insights from science, technology, community knowledge, and policy to tackle real-world challenges. It enables people to work with large and varied information sources—collaborating seamlessly with AI to reach decisions more quickly, clearly, and confidently. Whether working side-by-side on expansive shared display walls or contributing remotely from a laptop—at home, at work, or while traveling—SAGE3 enables flexible, co-located and distributed collaboration . It transforms static data into shared understanding, powering more informed, creative, and collective decision-making for all. |
| Document Type: | dataset |
| Language: | unknown |
| DOI: | 10.6084/m9.figshare.29232041.v1 |
| Availability: | https://doi.org/10.6084/m9.figshare.29232041.v1; https://figshare.com/articles/dataset/SAGE3_-_the_Scalable_Amplified_Group_Environment_2025_/29232041 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.1319D42B |
| Database: | BASE |