David K.A. Mordecai Spoke at the IMSI Architecture of Green Energy Systems Program

David K.A. Mordecai, Co-Managing Member of Numerati^® Partners 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.

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 advises research activities at RiskEcon^® Lab @ Courant Institute of Mathematical Sciences NYU and is President and Co-Founder of Risk Economics, Inc.

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.

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.