Community of Interest Workshop (on Future Scientific Methodologies)

Sponsored by the U.S. Department of Energy Office of Advanced Scientific Computing Research Online Workshop

November 2, 2020
November 5, 2020
November 10, 2020

White Papers

The white papers are in PDF format. Adobe Reader may be necessary to view PDF files on your computing device. If you don't have the latest version of Reader, you can download a free copy from Adobe.


The Ubiquity of Data in Science and Society

Computable Models (CompMods)

Perspectives on increasing computational sophistication over the next 10-30 years and the evolution of issues in human-systems interaction

A Network of Networks for User Facilities in 2050

Silicon photonics enabling high bandwidth density, energy efficient interconnects

AI-Science for Performance Optimization and Diagnosis of Science Instrument Federations

Artificial intelligence for science: parsimony, Bayesianity, causality

Team Data Science to Bring Data, Analysis and Domain Expertise together

DataScope: An Information Instrument for the Future of Science

Next-Generation Architectures for Knowledge Centers to Advance

The co-evolution of technoscientific knowledge: implications for future scientific methodologies

Enabling adaptive biological experiments through the integration of laboratory automation with machine learning

Interleaved AI for Next-Generation Science Campaigns

Leveraging the Computational Fabric for Science-Driven Data Refactoring

A data facility to generate actionable knowledge for DOE's Climate and Environmental Sciences

Communication Protocols for Future Scientific Use Cases

DOE Facilities: The role of advanced mathematics in meeting future needs and goals

Autonomous Datacenter Operations

Impact of Advances in Computing and Networking on DOE Labs and Future Scientific Methodologies 30 years from now

Distributed Computing Models for Distributed Sensor Networks

BNL's future computational fabric for HL-LHC and EIC

The emergence of Emergence

Hyper-Accelerating Scientific Discovery via Inverse Design on Hybrid non-von-Neumann HPC AI Architectures

A Vision for 2050: A Seamless Integrated Science Complex

Modeling and Managing Complicated Systems

Composable Computing Ecosystems for Varied Scientific Approaches

Scientic Data Security and Integrity

Embracing the New Multi-level Compute Era: A Common Workflow Toolkit that Just Works

Automated Laboratories Coupled with AI Agents and Smart Data Stores

Scientific facilities of the future

Self-driving Experimentation at Accelerator-based Light Sources

Digital Twins for Future Scientific Discoveries

Towards Automation of Scientific Methodologies of 2040: Software and Services

Mutually Enhancing Human Strengths and Computational Power in Future Scientific Methodologies

Some Future Directions