Author comment: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R0/PR1 DOI Creative Commons
Babak Zolghadr‐Asli

Published: Dec. 23, 2023

Over the years, data-driven models have gained notable traction in water and environmental engineering. The adoption of these cutting-edge frameworks is still progress grand scheme things, yet for most part, such attempts been centered around themselves, their internal computational architecture, that is, model-centric approach. These endeavors can certainly pave way more tailor-fitted capable producing accurate results. However, a perspective often neglects fundamental assumption models, which importance reliability, correctness, accessibility data used constructing them. This challenge arises from prevalent paradigm thinking field. An alternative approach, however, would prioritize placing at focal point, focusing on systematically enhancing current datasets devising to improve collection schemes. suggests shift toward data-centric Practically, this not without challenges necessitates smarter rather than an excessive one. Equally important ethical data, making it available everyone while safeguarding rights individuals other legal entities involved process.

Language: Английский

Decision: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R1/PR6 DOI Creative Commons
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić

et al.

Published: March 5, 2024

Over the years, data-driven models have gained notable traction in water and environmental engineering. The adoption of these cutting-edge frameworks is still progress grand scheme things, yet for most part, such attempts been centered around themselves, their internal computational architecture, that is, model-centric approach. These endeavors can certainly pave way more tailor-fitted capable producing accurate results. However, a perspective often neglects fundamental assumption models, which importance reliability, correctness, accessibility data used constructing them. This challenge arises from prevalent paradigm thinking field. An alternative approach, however, would prioritize placing at focal point, focusing on systematically enhancing current datasets devising to improve collection schemes. suggests shift toward data-centric Practically, this not without challenges necessitates smarter rather than an excessive one. Equally important ethical data, making it available everyone while safeguarding rights individuals other legal entities involved process.

Language: Английский

Citations

0
Recommendation: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R0/PR2 DOI Creative Commons
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić

et al.

Published: Feb. 7, 2024

Over the years, data-driven models have gained notable traction in water and environmental engineering. The adoption of these cutting-edge frameworks is still progress grand scheme things, yet for most part, such attempts been centered around themselves, their internal computational architecture, that is, model-centric approach. These endeavors can certainly pave way more tailor-fitted capable producing accurate results. However, a perspective often neglects fundamental assumption models, which importance reliability, correctness, accessibility data used constructing them. This challenge arises from prevalent paradigm thinking field. An alternative approach, however, would prioritize placing at focal point, focusing on systematically enhancing current datasets devising to improve collection schemes. suggests shift toward data-centric Practically, this not without challenges necessitates smarter rather than an excessive one. Equally important ethical data, making it available everyone while safeguarding rights individuals other legal entities involved process.

Language: Английский

Citations

0
Decision: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R0/PR3 DOI Creative Commons
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić

et al.

Published: Feb. 8, 2024

Over the years, data-driven models have gained notable traction in water and environmental engineering. The adoption of these cutting-edge frameworks is still progress grand scheme things, yet for most part, such attempts been centered around themselves, their internal computational architecture, that is, model-centric approach. These endeavors can certainly pave way more tailor-fitted capable producing accurate results. However, a perspective often neglects fundamental assumption models, which importance reliability, correctness, accessibility data used constructing them. This challenge arises from prevalent paradigm thinking field. An alternative approach, however, would prioritize placing at focal point, focusing on systematically enhancing current datasets devising to improve collection schemes. suggests shift toward data-centric Practically, this not without challenges necessitates smarter rather than an excessive one. Equally important ethical data, making it available everyone while safeguarding rights individuals other legal entities involved process.

Language: Английский

Citations

0
Recommendation: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R1/PR5 DOI Creative Commons
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić

et al.

Published: March 5, 2024

Over the years, data-driven models have gained notable traction in water and environmental engineering. The adoption of these cutting-edge frameworks is still progress grand scheme things, yet for most part, such attempts been centered around themselves, their internal computational architecture, that is, model-centric approach. These endeavors can certainly pave way more tailor-fitted capable producing accurate results. However, a perspective often neglects fundamental assumption models, which importance reliability, correctness, accessibility data used constructing them. This challenge arises from prevalent paradigm thinking field. An alternative approach, however, would prioritize placing at focal point, focusing on systematically enhancing current datasets devising to improve collection schemes. suggests shift toward data-centric Practically, this not without challenges necessitates smarter rather than an excessive one. Equally important ethical data, making it available everyone while safeguarding rights individuals other legal entities involved process.

Language: Английский

Citations

0
Author comment: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R1/PR4 DOI Creative Commons
Babak Zolghadr‐Asli

Published: Feb. 20, 2024

Over the years, data-driven models have gained notable traction in water and environmental engineering. The adoption of these cutting-edge frameworks is still progress grand scheme things, yet for most part, such attempts been centered around themselves, their internal computational architecture, that is, model-centric approach. These endeavors can certainly pave way more tailor-fitted capable producing accurate results. However, a perspective often neglects fundamental assumption models, which importance reliability, correctness, accessibility data used constructing them. This challenge arises from prevalent paradigm thinking field. An alternative approach, however, would prioritize placing at focal point, focusing on systematically enhancing current datasets devising to improve collection schemes. suggests shift toward data-centric Practically, this not without challenges necessitates smarter rather than an excessive one. Equally important ethical data, making it available everyone while safeguarding rights individuals other legal entities involved process.

Language: Английский

Citations

0
Author comment: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R0/PR1 DOI Creative Commons
Babak Zolghadr‐Asli

Published: Dec. 23, 2023

Over the years, data-driven models have gained notable traction in water and environmental engineering. The adoption of these cutting-edge frameworks is still progress grand scheme things, yet for most part, such attempts been centered around themselves, their internal computational architecture, that is, model-centric approach. These endeavors can certainly pave way more tailor-fitted capable producing accurate results. However, a perspective often neglects fundamental assumption models, which importance reliability, correctness, accessibility data used constructing them. This challenge arises from prevalent paradigm thinking field. An alternative approach, however, would prioritize placing at focal point, focusing on systematically enhancing current datasets devising to improve collection schemes. suggests shift toward data-centric Practically, this not without challenges necessitates smarter rather than an excessive one. Equally important ethical data, making it available everyone while safeguarding rights individuals other legal entities involved process.

Language: Английский

Citations

0