RiskEcon Lab NYU

RiskEcon Lab NYU

RiskEcon® Lab for Decision Metrics at NYU Courant Institute

In order to facilitate the development of software as a service, analytics tools, and semantic libraries that employ high-dimensional datasets to integrate conventional data with web-enabled demographic, biometric, psychometric and socio-metric data from innovative sources, Risk Economics has established RiskEcon® Lab for Decision Metrics at New York University’s Courant Institute of Mathematical Sciences, an independent division of NYU, widely considered to be one of the world’s leading mathematics educational and scientific research centers, and ranked first in applied mathematical research.

RiskEcon® Lab applies a range of computational methods to analyze commercial, consumer and population-related societal trends. Recent events demonstrate that many large-scale geopolitical and socioeconomic questions are particularly related to the implications and effects of interrelated changes in demographics, technology adoption, and lifestyle choices on the economy. Understanding these patterns is crucial for decision-making in both industry and government. The most critical are the emerging effects of changes in technology and consumer behavior on finance, labor, and housing, and on trends in income and wealth distribution, immigration, aging, health and the environment.

RiskEcon® Lab primarily focuses upon research and development of applied statistics in the context of robust and scalable data analytic solutions, integrating web-enabled crowdsourcing with machine learning, data-mining, and text-mining, in order to provide solutions and answer large-scale, real world questions with three fundamental objectives:

  • Foster, promote, and coordinate public-private-academic research partnerships
  • Sponsor, fund, organize and manage “big data” libraries
  • Advance NYU’s competency within applied computational statistics

RiskEcon® Lab’s primary role is to enable, facilitate and coordinate academic research in the development of commercially-viable, analytic applications employing computational statistical tools in conjunction with innovative and non-traditional data structures. In addition, other activities of RiskEcon® Lab involve the advancement of the fields of applied mathematical statitics and computational economics, via interdisciplinary post-doctoral, postgraduate, graduate research and education in data sciences and social computing.

RiskEcon® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.

Press releases on the establishment of RiskEcon® Lab:

NYU Press release
Courant Newsletter Article

Visit RiskEcon Lab at CIMS
Visit Samantha Kappagoda at RiskEcon Lab
Visit David Mordecai at RiskEcon Lab

News and Events

David K.A. Mordecai was a Speaker on Big Data Management at RAA Cat Risk Management 2015

David K.A. Mordecai was an invited speaker at Cat Risk Management 2015, the Annual Conference of the Reinsurance Association of […]

David K.A. Mordecai has been appointed as the first Scientist-in-Residence at FinTech Innovation Lab (The Partnership for NYC)

David K.A. Mordecai has been appointed as the first Scientist-in-Residence at FinTech Innovation Lab, an accelerator platform for early and […]

Samantha Kappagoda was honored by the Girl Scouts as a STEM Woman of Distinction

Samantha Kappagoda was honored by the Girl Scouts of Greater New York at their 21st Annual Women of Distinction (WOD) […]

David K.A. Mordecai, President of Risk Economics, was Invited to Speak on a Panel of Experts on Opportunities and Challenges in Cybertech

David K.A. Mordecai, President of Risk Economics, Inc.,  was invited to speak on a panel of experts to discuss “Key […]

David K.A. Mordecai was invited to participate on a panel of experts to discuss the application of financial techniques during the financial crisis

David K.A. Mordecai, President of Risk Economics, Inc.,  was invited to participate on a panel of experts to discuss the […]

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