This content will become publicly available on Wed Aug 28 00:00:00 EDT 2024
New technologies as decision aids for the advancement of ecological risk assessment
Abstract
Moore's law states that the number of transistors that can be placed on an integrated circuit doubles every two years (Moore, 1975). This has led to a steady increase in the processing power of computers over time, and technology is now enhancing and advancing software and scientific applications, which has enabled computationally intensive methods such as machine learning, data science, modeling, and simulation. The advancement of computers and data-driven algorithms is profoundly impacting people's lives. It is changing the way we work, the way we learn, and the way we interact with the world around us. Here, this editorial will discuss how scientists can benefit from the latest technology advancements and related tools by incorporating them into the ecological risk assessment (ERA) to study ecosystems as a way to create refined assessments and accelerate the turnaround times.
- Authors:
-
[1];
- Southern Illinois Univ., Carbondale, IL (United States); Loyola University, Chicago, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Grinnell College, IA (United States)
- Loyola University, Chicago, IL (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 2000330
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Integrated Environmental Assessment and Management
- Additional Journal Information:
- Journal Volume: 19; Journal Issue: 5; Journal ID: ISSN 1551-3777
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Chele, Federico Sinche, Jimenez‐Pazmino, Priscilla, and Läufer, Konstantin. New technologies as decision aids for the advancement of ecological risk assessment. United States: N. p., 2023.
Web. doi:10.1002/ieam.4815.
Chele, Federico Sinche, Jimenez‐Pazmino, Priscilla, & Läufer, Konstantin. New technologies as decision aids for the advancement of ecological risk assessment. United States. https://doi.org/10.1002/ieam.4815
Chele, Federico Sinche, Jimenez‐Pazmino, Priscilla, and Läufer, Konstantin. Mon .
"New technologies as decision aids for the advancement of ecological risk assessment". United States. https://doi.org/10.1002/ieam.4815.
@article{osti_2000330,
title = {New technologies as decision aids for the advancement of ecological risk assessment},
author = {Chele, Federico Sinche and Jimenez‐Pazmino, Priscilla and Läufer, Konstantin},
abstractNote = {Moore's law states that the number of transistors that can be placed on an integrated circuit doubles every two years (Moore, 1975). This has led to a steady increase in the processing power of computers over time, and technology is now enhancing and advancing software and scientific applications, which has enabled computationally intensive methods such as machine learning, data science, modeling, and simulation. The advancement of computers and data-driven algorithms is profoundly impacting people's lives. It is changing the way we work, the way we learn, and the way we interact with the world around us. Here, this editorial will discuss how scientists can benefit from the latest technology advancements and related tools by incorporating them into the ecological risk assessment (ERA) to study ecosystems as a way to create refined assessments and accelerate the turnaround times.},
doi = {10.1002/ieam.4815},
journal = {Integrated Environmental Assessment and Management},
number = 5,
volume = 19,
place = {United States},
year = {Mon Aug 28 00:00:00 EDT 2023},
month = {Mon Aug 28 00:00:00 EDT 2023}
}
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