David K.A. Mordecai was invited to present a lightning talk entitled Digital Forensics for Measurement and Control and the Vehicle Testimony and Behavior Implications for Cyberphysical Risk Reliability and Security of Internet of Things (IoT) at the W3C Workshop on Data Models for Transportation. The workshop was held on September 12-13, 2019 at Uber headquarters in Palo Alto, CA.
David K.A. Mordecai is Co-Managing Member of Numerati® Partners and Lead Investigator at RiskEcon® Lab @ Courant Institute of Mathematical Sciences.
The primary activities of W3C are to develop protocols and guidelines that ensure long-term growth for the Web. W3C’s standards define key parts of what makes the World Wide Web work. For more information, visit https://www.w3.org/.
About Numerati® Partners LLC
Numerati® Partners LLC coordinates a data analytics and technology development ecosystem, with the mission of advancing and fostering the next generation of scalable data-intensive risk and liability management enterprises. The firm provides resources fundamental to advancing the development of nascent leading-edge inferential surveillance, monitoring, and predictive analytics technologies for deployment within the RiskTech domain: risk technologies associated with adaptive distributed, networked and embedded systems such as remote sensing, agent-oriented data analytics, computing and control systems. Numerati® Partners curates integrated RiskTech solutions as well as forensic and use-case applications in RiskTech sub-domains such as LitTech, RegTech, FinTech and InsurTech (litigation technology, regulation technology, financial technology and insurance technology). For more information, visit https://numeratipartnersllc.com.
About RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU
The mission of RiskEcon® Lab @ Courant Institute 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.
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. For more information, visit https://wp.nyu.edu/riskeconlab/.
September 14, 2019 | New York, NY