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BioMedware Selected For NIH TABA Program

BioMedware Selected For NIH TABA Program

by Geoffrey Jacquez, Ph.D. | Oct 30, 2024 | BioMedware News

The National Institutes of Health has selected BioMedware for a Technical and Business Assistance (TABA) Needs Assessment Report for the project titled “Software for Geostatistical Smoothing and Joinpoint Regression Modeling of Time Series of Compositional Variables...

4 Space-Time Data Visualization Techniques To Consider

4 Space-Time Data Visualization Techniques To Consider

by Geoffrey Jacquez, Ph.D. | Oct 21, 2024 | Geospatial Data & Analysis

Spatial and space-time data visualization are not new concepts, and there are many proven techniques that streamline the visualization process of geospatial data. Before doing anything with data, it always helps to have a plan, and that plan begins with the...

Privacy Concerns with Geospatial Data

Privacy Concerns with Geospatial Data

by Pierre Goovaerts, Ph.D. | Oct 8, 2024 | Geospatial Data & Analysis

At its core, Geospatial data involves information about the physical location and characteristics of features and events on Earth. Geospatial data can be collected from various sources, including satellite imagery, GPS devices, mobile phones, and social media...

BioMedware Receives Grant for Modeling Geospatial Uncertainty Using Artificial Intelligence 

BioMedware Receives Grant for Modeling Geospatial Uncertainty Using Artificial Intelligence 

by Geoffrey Jacquez, Ph.D. | Sep 24, 2024 | BioMedware News

The National Library of Medicine awarded BioMedware’s Principal Investigator (PI), Dr. Pierre Goovaerts a 2-year SBIR Phase II grant titled “Geostatistical software for Non Parametric Geostatistical Modeling”.  With a ~$2M budget, the grant kicked-off on September 1,...

Dr. Pierre Goovaerts To Present At 12th International Geostatistics Congress

Dr. Pierre Goovaerts To Present At 12th International Geostatistics Congress

by Ioana Nadra | Aug 20, 2024 | BioMedware News

BioMedware Chief Scientist Dr. Pierre Goovaerts will present his talk, titled "Finding water service lines with hazardous material using a compositional approach and geostatistics-informed machine learning," at Geostats 2024 (12th International Geostatistics Congress)...

Geostatistics and Nuclear Energy: A Powerful Synergy

Geostatistics and Nuclear Energy: A Powerful Synergy

by Pierre Goovaerts, Ph.D. | Aug 14, 2024 | GIS Technology

Nuclear energy stands out as a powerful yet complex source in the rapidly evolving world of energy production. It offers a low-carbon alternative to fossil fuels, making it a critical player in the fight against climate change. However, the challenges associated with...

Dr. Pierre Goovaerts Invited to Plenary Panel: Digital Twin and Spatiotemporal Data Science

Dr. Pierre Goovaerts Invited to Plenary Panel: Digital Twin and Spatiotemporal Data Science

by Geoffrey Jacquez, Ph.D. | Jul 1, 2024 | BioMedware News

BioMedware Chief Scientist Dr. Pierre Goovaerts will join the “Plenary Panel: Digital Twin and Spatiotemporal Data Science” for the International Symposium on Spatiotemporal Data Science to be held at Virginia Tech Research Center.  The Symposium will be held at the...

Dr. Pierre Goovaerts Honored By U.S. Representative Debbie Dingell

Dr. Pierre Goovaerts Honored By U.S. Representative Debbie Dingell

by Geoffrey Jacquez, Ph.D. | Jun 28, 2024 | BioMedware News

In her letter dated May 29, 2024, U.S. Representative Debbie Dingell congratulates BioMedware Chief Scientist Dr. Pierre Goovaerts for receiving a grant from the National Institute of Environmental Health Sciences. The grant titled “Software for Geostatistical...

BioMedware Announces New Grant from the National Institute of Environmental Health Sciences

BioMedware Announces New Grant from the National Institute of Environmental Health Sciences

by Geoffrey Jacquez, Ph.D. | Jun 10, 2024 | BioMedware News

Dr. Pierre Goovaerts, Principal Investigator, and BioMedware have been awarded a new SBIR Phase I grant titled “Software for Geostatistical Smoothing and Joinpoint Regression Modeling of Time Series of Compositional Variables in Epidemiology.” This grant will...

Challenges and Limitations in Geostatistical Modeling

Challenges and Limitations in Geostatistical Modeling

by Geoffrey Jacquez, Ph.D. | Jun 3, 2024 | GIS Technology

When working with spatial data, we often encounter situations where observations on a variable are absent for some of the locations on the map. Geostatistians talk of “sampled” locations—places where observations on a variable of interest are measured—and “not...

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