Daniel Dean Moran
Seniorforsker
+47 63 89 82 27
+47 915 94 183
Environmental Impacts and Sustainability
Trondheim
dmor@nilu.no
Daniel Moran is an environmental economist whose work quantifies the biophysical resources used by the economy. He is an active contributor to global multi-region input-output models (MRIOs) which provide digital twins of the world economy and are used to generate Scope 3 carbon footprint results. Dr. Moran also works with Scope 1 GHG emissions models. His work using data science to develop high-resolution environmental footprints has been featured in National Geographic, the New York Times, and The Economist.
Before starting his academic career Dr. Moran worked on Wall Street pricing ESG risk at MSCI and assisted Nobel laureate Paul Romer writing a Principles of Economics textbook.
Awards
Clarivate/Web of Science Highly Cited Researcher in 2022, 2021, 2020, and 2019. Among all scientists and social scientists globally, Highly Cited Researchers™ are 1 in 1,000. Stanford/Elsevier/Scopus highly cited researcher during 2021, 2020, 2019 (Top 1.5% percentile in Environmental Sciences; top 3% in Economics)
Education
- 2013 – PhD, School of Physics, The University of Sydney
- 2007 – MS, Environmental Studies and Sustainability, Lund University
- 2001 – BA, Philosophy, Whitman College
Key words
data science; industrial ecology; environmental economics; carbon footprinting; biodiversity footprints; embodied water; scope 3; consumption-based accounting; LCA; input-output; material flow analysis; high performance computing
Daniel Dean Moran has 23 publications at NILU:
2026
2025
2025
2025
2025
2025
2024
2023
2023
2023
2023
RISKRES – Using industrial ecology methods to evaluate socioeconomic risk and resilience to climate and environmental impacts
The RISKRES project aims to investigate the exposure of the Norwegian economy to climate and environmental hazards, which are expected to increase in frequency and intensity due to climate change. […]
F.A.I.R. information cube (FAIRiCUBE)
The core objective of FAIRiCUBE is to enable players from beyond classic Earth Observation (EO) domains to provide, access, process, and share gridded data and algorithms in a FAIR and […]
Daniel Moran is an environmental economist whose work quantifies the biophysical resources used by the economy. He is an active contributor to global multi-region input-output models (MRIOs) which provide digital twins of the world economy and are used to generate Scope 3 carbon footprint results. Dr. Moran also works with Scope 1 GHG emissions models. His work using data science to develop high-resolution environmental footprints has been featured in National Geographic, the New York Times, and The Economist.
Before starting his academic career Dr. Moran worked on Wall Street pricing ESG risk at MSCI and assisted Nobel laureate Paul Romer writing a Principles of Economics textbook.
Awards
Clarivate/Web of Science Highly Cited Researcher in 2022, 2021, 2020, and 2019. Among all scientists and social scientists globally, Highly Cited Researchers™ are 1 in 1,000. Stanford/Elsevier/Scopus highly cited researcher during 2021, 2020, 2019 (Top 1.5% percentile in Environmental Sciences; top 3% in Economics)
Education
- 2013 – PhD, School of Physics, The University of Sydney
- 2007 – MS, Environmental Studies and Sustainability, Lund University
- 2001 – BA, Philosophy, Whitman College
Key words
data science; industrial ecology; environmental economics; carbon footprinting; biodiversity footprints; embodied water; scope 3; consumption-based accounting; LCA; input-output; material flow analysis; high performance computing
Daniel Dean Moran has 23 publications at NILU:
2026
2025
2025
2025
2025
2025
2024
2023
2023
2023
2023
RISKRES – Using industrial ecology methods to evaluate socioeconomic risk and resilience to climate and environmental impacts
The RISKRES project aims to investigate the exposure of the Norwegian economy to climate and environmental hazards, which are expected to increase in frequency and intensity due to climate change. […]
F.A.I.R. information cube (FAIRiCUBE)
The core objective of FAIRiCUBE is to enable players from beyond classic Earth Observation (EO) domains to provide, access, process, and share gridded data and algorithms in a FAIR and […]