David K.A. Mordecai, President of Risk Economics,  presented at the Verification, Validation and Uncertainty Quantification (VVUQ) Group lunch convened on March 28, 2025. The first part of his two-part invited presentation Weather Volatility, Transition Risk Exposure, and Credit Capacity addressed practical application of compound real options analysis and numerical optimization of temporal and spatial models from industrial economics for storage and transmission in the context of binding technical constraints related to comparative conversion rate efficiencies in the scalable deployment of low-carbon stochastic production.

The second part of his invited presentation Multi-resolution Remote-Sensing and Data Fusion for Multi-Modal Estimation of Mesoscale Terrestrial Atmospheric Scattering Fields: Statistical Models and Applications to Risk Domains discussed state estimation of the propensity and propagation of mesoscale severe convective storms, subject to prevailing localized spatial and temporal conditions at temporal and spatial scales which cannot be numerically simulated, as well as the role of remote statistical measurements at relevant temporal and spatial mesoscales. He highlighted the applicability and utility of sampling and assimilation of signals characterizing atmospheric composition based upon reflectivity, propagation, attenuation and doppler signatures of complementary acoustic, optical and radar-based emissions across a range of spectral bands, and under corresponding conditions of temperature, pressure and humidity.

David Mordecai is an Adjunct Professor of Econometrics and Statistics at the University of Chicago Booth School of Business and has been recently appointed as Adjunct Professor of Law teaching quantitative methods at NYU Law School. He also advises research activities at RiskEcon^® Lab @ Courant Institute of Mathematical Sciences NYU.

About RiskEcon^® Lab @ Courant Institute
The mission of RiskEcon^® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, the goal is robust and reliable integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management in the public interest.

RiskEcon^® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon^® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.

About Risk Economics, Inc.
Risk Economics^® specializes in economic analysis of risk and liability. It provides advisory services at the intersection of commercial business-process engineering and risk engineering with a particular focus on coupling commercial reinsurance and financial technology, through the rigorous application of agent-based, demographic, and statistical methodologies to microeconomic and macroeconomic analysis. The RiskEcon^® client roster is diverse and includes governmental and quasi-governmental agencies, global insurance and reinsurance firms, leading law firms, technology firms, global banking institutions, asset management firms, multinational corporations with interests in natural resources, commodities, and energy, as well as government agencies and regulators. For additional information, please visit https://riskeconomicsinc.com/.

David K.A. Mordecai, President of Risk Economics, presented at NYU Law Integrity Policy Institute, on February 18^th, 2025. His invited presentation, entitled Weather Volatility, Transition Risk Exposure, and Credit Capacity addressed the critical role of sector coupling, the thermodynamics underlying spatiotemporal weather conditions coupled with energy and power capacity engineering across industrial sectors, highlighting implications for mesoscale economics of supply and demand, and how  cross-product volatility across inherently coupled markets and production technologies serve as common factors underlying the economic viability of hedging cost structures for risk immunization and mitigation of deadweight loss in the scalable deployment of low-carbon stochastic production.

David Mordecai is an Adjunct Professor of Econometrics and Statistics at the University of Chicago Booth School of Business and has been recently appointed as Adjunct Professor of Law teaching quantitative methods at NYU Law School. He also advises research activities at RiskEcon^® Lab @ Courant Institute of Mathematical Sciences NYU.

The Institute for Policy Integrity, a non-partisan think tank founded 2008 at NYU School of Law, is committed to producing original scholarly research in the fields of economics, law, and public policy with a primary focus on energy and environmental policy.

About RiskEcon^® Lab @ Courant Institute
The mission of RiskEcon^® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, the goal is robust and reliable integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management in the public interest.

RiskEcon^® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon^® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.

About Risk Economics, Inc.
Risk Economics^® specializes in economic analysis of risk and liability. It provides advisory services at the intersection of commercial business-process engineering and risk engineering with a particular focus on coupling commercial reinsurance and financial technology, through the rigorous application of agent-based, demographic, and statistical methodologies to microeconomic and macroeconomic analysis. The RiskEcon^® client roster is diverse and includes governmental and quasi-governmental agencies, global insurance and reinsurance firms, leading law firms, technology firms, global banking institutions, asset management firms, multinational corporations with interests in natural resources, commodities, and energy, as well as government agencies and regulators. For additional information, please visit https://riskeconomicsinc.com/.

David K.A. Mordecai, President of Risk Economics, co-organized, served as a session chair, panel moderator and presented, during the NYU-Princeton Workshop on Future Electricity Grids and Energy Markets convened on January 22^nd and 23^rd, 2025. During the two-day research workshop, his presentation entitled Power-to-X addressed the critical role of sector coupling, the thermodynamics underlying spatiotemporal weather conditions coupled with energy and power capacity engineering across industrial sectors, highlighting implications for mesoscale economics of supply and demand.

Dr. Mordecai is President and Co-Founder of Risk Economics, an Adjunct Professor of Econometrics and Statistics at the University of Chicago Booth School of Business, an Adjunct Professor of Law at NYU Law School, and advises research activities at RiskEcon^® Lab @ Courant Institute of Mathematical Sciences NYU.

About RiskEcon^® Lab @ Courant Institute
The mission of RiskEcon^® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, the goal is robust and reliable integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management in the public interest.

RiskEcon^® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon^® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.

About Risk Economics, Inc.
Risk Economics^® specializes in economic analysis of risk and liability. It provides advisory services at the intersection of commercial business-process engineering and risk engineering with a particular focus on coupling commercial reinsurance and financial technology, through the rigorous application of agent-based, demographic, and statistical methodologies to microeconomic and macroeconomic analysis. The RiskEcon^® client roster is diverse and includes governmental and quasi-governmental agencies, global insurance and reinsurance firms, leading law firms, technology firms, global banking institutions, asset management firms, multinational corporations with interests in natural resources, commodities, and energy, as well as government agencies and regulators. For additional information, please visit https://riskeconomicsinc.com/.

David K.A. Mordecai, President of Risk Economics, presented on June 18, 2024, during The Institute for Mathematical and Statistical Innovation (IMSI) Research Workshop, Architecture of Green Energy: The Underlying Problem and Its Challenges. During the week-long research workshop, his presentation entitled, Power-to-X as a Multi-Commodity Theory of Electricity Storage, Transmission and Transport addressed the critical role of multi-scale/multi-resolution statistics of thermodynamics underlying weather conditions coupled with energy and power capacity across industrial sectors, highlighting implications for mesoscale economics of supply and demand. Dr. Mordecai also attended as an active participant a subsequent three-day IMSI research workshop, Mathematical and Statistical Foundations of Digital Twins (DTs), which focused on mathematical, statistical, and computational foundations addressing challenges in data assimilation and statistical inverse problems, model reduction and surrogate model specification, as well as (sub)optimal control decisions and experimental design for risk estimation and uncertainty quantification.

The 10-week trans-disciplinary architecture of green energy program hosted by IMSI is aimed at understanding the technological, social and economic challenges of transitioning to systems that generate, deliver and consume 100% renewable energy, with a view to creating an effective physical and institutional “architecture” for this transition. Participants in the program are drawn from engineering, social sciences, economics and the mathematical sciences.

Dr. Mordecai is President and Co-Founder of Risk Economics, an Adjunct Professor of Econometrics and Statistics at the University of Chicago Booth School of Business, an Adjunct Professor of Law at NYU Law School, and advises research activities at RiskEcon^® Lab @ Courant Institute of Mathematical Sciences NYU.

About IMSI
The Institute for Mathematical and Statistical Innovation (IMSI) is a mathematical sciences research institute funded by the National Science Foundation. It is co-managed by the University of Chicago, Northwestern University, the University of Illinois at Chicago, and the University of Illinois at Urbana-Champaign, and hosted at the University of Chicago.

About RiskEcon^® Lab @ Courant Institute
The mission of RiskEcon^® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, the goal is robust and reliable integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management in the public interest.

RiskEcon^® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon^® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.

About Risk Economics, Inc.
Risk Economics^® specializes in economic analysis of risk and liability. It provides advisory services at the intersection of commercial business-process engineering and risk engineering with a particular focus on coupling commercial reinsurance and financial technology, through the rigorous application of agent-based, demographic, and statistical methodologies to microeconomic and macroeconomic analysis. The RiskEcon^® client roster is diverse and includes governmental and quasi-governmental agencies, global insurance and reinsurance firms, leading law firms, technology firms, global banking institutions, asset management firms, multinational corporations with interests in natural resources, commodities, and energy, as well as government agencies and regulators. For additional information, please visit https://riskeconomicsinc.com/.