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