Overview

Full details will become available soon!

Speakers

Kelly Renee Moran, Los Alamos National Laboratory, LANL

Katrin Heitmann, Argonne National Laboaratory, ANL

Moderator

Emily Casleton, Statistical Sciences Group, Los Alamos National Laboratory (LANL)

Abstract 

Abstract Coming Soon!

About the Speakers

Kelly Renee Moran, Los Alamos National Laboratory, LANL

Katrin Heitmann, Argonne National Laboaratory, ANL

About the Moderator

Emily Casleton, Statistical Sciences Group, Los Alamos National Laboratory (LANL)

About the NISS Collaborative Data Science CoLab

The Collaborative Data Science initiative at NISS brings together experts from various fields to tackle complex data challenges through interdisciplinary teamwork and innovative methodologies.

The goal is to foster progress in:

• Developing new ideas for experimental and observational data-driven learning and discovery that address key questions at the cutting edge of science and scientific deduction;
• Quantifying and summarizing uncertainty in data-driven theories, as well as complex Data Science models, algorithms, and workflows; and
• Establishing new practices for scientific reproducibility and replicability through Data Science.