The Institute for Data-Intensive Engineering and Science https://validator.w3.org/feed/docs/rss2.html Outreach & Events Seed Funding Initiative Projects IDIES Data Center Funding Support Sitemap IDIES RSE Luncheon Seminar: Daniel Muthukrishna Membership News & Reviews 2025 IDIES Annual Symposium 2025 IDIES Annual Symposium Alexander Szalay, Ph.D. and Janis Taube, M.D., M.Sc., receive Life Sciences 2021 award for AstroPath at Falling Walls Science Summit 2022 Annual Symposium 2025 IDIES Annual Symposium—Call for Posters Projects Education Recap of the 2022 Workshop for Large-Scale Scientific Imaging 2022 Workshop for Large-Scale Scientific Imaging Day 2 Schedule for the 2022 Workshop for Large-Scale Scientific Imaging About Annual Symposium Day 1 Schedule for the 2022 Workshop for Large-Scale Scientific Imaging 2022 Workshop for Large-Scale Scientific Imaging Using Machine Learning to Design Highly Stable, Biologically Active Proteins News Announcing the 2025 IDIES Seed Funding Awardees Correcting for Bias and Uncertainty in AI Algorithmic Outputs Used in Global Child Mortality Estimates Highly Scalable Software for Analyzing Large Collections of RNA Sequencing Data SIRENIC: Stream Infrastructure for the Real-time Analysis of Intensive Care Unit Sensor Data Artificial Intelligence-aided Video-based Assessment of Mastoidectomy Surgical Skills Summer Student Fellowship Program Seed Funding Initiative eStomach – A Data-Driven Multiphysics In-Silico Model of the Human Stomach for Application to Bariatric Surgery Solving the Phasing Problem of Infection Complexity in Polygenomic Malaria with Machine Learning Statistical Methods for Real-Time Monitoring of Physical Disability in Multiple Sclerosis Genome-wide Prediction of DNase I Hypersensitivity and Transcription Factor Binding Sites Based on Gene Expression Towards the Johns Hopkins Ocean Circulation DataBase: Method Development and Prototype Advancing Otolith Function Assessment: Integrating Machine Learning with Video Oculography for Enhanced Vestibular Diagnosis Quantifying and Visualizing Urban Emissions of US Cities Computational Study on Accretion Modes of Planet Formation and Their Impact on Exoplanet Population Simulating Murine and Human Cerebrocortical Development through an Agent-based Computational Model Enhancing Post-Operative Efficiency in the Neurosciences Critical Care Unit Using Machine Learning and Data Science AI-driven Echocardiographic Model for Early Identification of Stress Cardiomyopathy Understanding Learning: An Exploratory Analysis of the Geometry of Neural Network Weights and Activation A Non-Parametric Approach for Learning Interaction Laws in Agent-Based Systems Who’s to blame: Insights from Atmospheric Data and High-Performance Computing on Greenhouse Gas Emissions from the US Natural Gas Industry Data-Driven Differential Diagnosis of Common Pulmonary Diseases in the ICU IDIES Home Hunting for Metal-Poor Main Sequence Stars in Spectroscopic Surveys Summer Student Fellowship Projects Events