Symposia, Conferences and Demo Days

Risk Economics® participation in various symposia, conferences and demo day events hosted by industry, academic institutions, governmental and non-governmental organizations.

David K.A. Mordecai was Invited to Present at the Courant Center for Atmosphere Ocean Science

David K.A. Mordecai was Invited to Present at the Courant Center for Atmosphere Ocean Science

Dr. David K.A. Mordecai was invited to present at the Courant Institute for Mathematical Sciences NYU Center for Atmosphere Ocean Science (CAOS) at the Atmosphere Ocean Science Colloquium on October 27, 2021.

The presentation by Dr. David Mordecai was entitled Multi-resolution Remote-Sensing and Data Fusion for Multi-Modal Estimation of Mesoscale Terrestrial Atmospheric Scattering Fields: Statistical Models and Applications to Risk Domains.

Synopsis
Although severe convective storms (SCSs) have been customarily classified as “secondary perils” by the insurance sector, it is particularly noteworthy that during the previous 10 years, SCSs have contributed more than half of global insured losses from secondary perils, and during 2020, such secondary perils account for more than 70% of the natural catastrophe insured losses (resulting mostly from SCSs and wildfire occurrences). Reliably modeling region-specific hazards of mesoscale climate risks related to SCSs at relevant temporal and spatial scales – among other industrial and municipal exposures to such climate-driven conditions (e.g., air quality, urban wind fields, flash flooding, drought, wildfire propagation), including impairment to energy grid stability and transportation networks – is inherently a joint-hypothesis problem. At mesoscales, e.g., within ranges greater than 5 km up to 200km and less than 1000km (Fujita 1981), predominant atmospheric instabilities (thermal, symmetric, barotropic, Kelvin-Helmholtz, etc.) contributing to storm propensities are highly state-dependent.

Given these geospatial complexities, the propensity and propagation of mesoscale severe convective storms are subject to prevailing localized spatial and temporal conditions. In the absence of robust statistical sampling, reliable estimation and classification of such storm occurrences at these temporal and spatial scales cannot be viably numerically simulated. Remote statistical measurements at relevant temporal and spatial mesoscales involve 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. However, the physics and geometric properties of these signals (e.g., RayleighMie and Bragg scattering) across a range of respective emission wavelengths tend to covary relative to composite atmospheric particle size and shape distributions.

David K.A. Mordecai was Invited to Present at the Courant Center for Atmosphere Ocean Science

Dr. Mordecai is President and Co-Founder of Risk Economics, and Visiting Scholar at Courant Institute of Mathematical Sciences NYU, advising research activities at RiskEcon® Lab for Decision Metrics @ Courant Institute.

About Center for Atmosphere Ocean Science
The Center for Atmosphere Ocean Science is a unit of the Department of Mathematics, within the Courant Institute of Mathematical Sciences NYU. Their mission is to advance the understanding of and ability to predict the coupled atmosphere, ocean and ice system through the use of mathematical and computational tools and analysis of observations; and to train the next generation of leading theoretical and computational climate scientists to face one of the most consequential problems of the 21st century. For more information, visit: https://caos.cims.nyu.edu/.

About Risk Economics
Risk Economics 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 analytics.

David K.A. Mordecai was Invited to Present at the 2021 ABA Artificial Intelligence and Robotics National Institutes

David K.A. Mordecai was Invited to Present at the 2021 ABA Artificial Intelligence and Robotics National Institutes

David K.A. Mordecai, President of Risk Economics, was invited to present at the American Bar Association (ABA) Artificial Intelligence and Robotics National Institutes conference on October 12-13, 2021. This year’s conference was held virtually due to the ongoing COVID-19 pandemic.

In the panel entitled Data Dump: How to Deal with a Heap of AI Big Data Liability and Compliance Issues, David K.A. Mordecai and his co-panelists discussed ways in which data supply-chain activities might incur liability related to data acquisition, curation, warehousing, use, dissemination and agency.  During the panel discussion, Dr. Mordecai highlighted the roles of statistics, economics and digital forensics for analyzing risk and liability exposure of data acquisition, collection and curation, to mitigate data and algorithmic bias and corresponding liability exposure.

David K.A. Mordecai was Invited to Present at the 2021 ABA Artificial Intelligence and Robotics National Institutes

David Mordecai is the Chair of the Nanotechnology Committee, Vice-Chair of the Artificial Intelligence & Robotics Committee and Co-Chair of the Space Law Committee, of the ABA Science & Technology Law Section.

About Risk Economics
Risk Economics 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 analytics.  The Risk Economics® 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.
David K.A. Mordecai Participated in Demo Day 2021 for FinTech Innovation Lab

David K.A. Mordecai Participated in Demo Day 2021 for FinTech Innovation Lab

David K.A. Mordecai participated in Demo Day 2021 for FinTech Innovation Lab (FTIL) on June 24, 2021, as Scientist-in-Residence for FTIL. FTIL is an accelerator platform for early and growth stage technology firms, organized by the Partnership Fund for New York City, in conjunction with Accenture and a consortium of venture capital firms and global financial institutions.

As Scientist-in-Residence for FTIL, David K.A. Mordecai is one of eight Executives-in-Residence for the FTIL Mentors Network. The FTIL Mentors Network is comprised of over 30 seasoned entrepreneurs that have successfully launched and scaled a financial technology company to acquisition or IPO. Members of the Network serve as mentors and informal advisors for companies accepted into FTIL, providing guidance on the broad range of issues faced by senior management of financial technology (FinTech) companies. Due to the ongoing COVID-19 pandemic, the entire FTIL 2021 cycle was conducted remotely. In addition, FTIL Demo Day 2021 was held remotely via YouTube, marking the second time FTIL Demo Day was conducted entirely online.

David K.A. Mordecai Participated in Demo Day 2021 for FinTech Innovation Lab

Demo Day

Applicants to FTIL must have at least a working beta version of their technology that is ready for testing in either the institutional or retail market. The Chief Technology Officers from the 44 supporting financial firms selected the current set of ten participants for the 2021 cycle.

  • Cinchy (Toronto, Canada): A Data Fabric platform used by a growing number of the world’s most complex financial institutions to eliminate integration and data silos
  • CoverGo (Hong Kong/Singapore): Offers a configurable, modular, no-code insurance platform powered by 500+ insurance application programming interfaces (APIs) to automate processes and enable digital transformation at record speed
  • Delio (Cardiff, UK): White-labeled technology and infrastructure enabling the creation of connected distribution platforms and marketplaces for transforming private markets—integrating deal origination, distribution, transaction and reporting into structured and highly configurable workflows
  • Quarrio (Berkeley, CA): Conversational analytics product enables sales teams to ask questions about enterprise data and receive answers within seconds
  • Rightfoot (San Francisco, CA): Creates APIs that enable developers to quickly and easily add student debt repayment (and soon, any type of debt repayment) capabilities into any app
  • Safekeep (New York, NY): Award-winning AI-driven claims solution increases recovery potential and reduces effort by as much as 90%
  • SPIN Analytics (London, UK/New York, NY): An explainable AI platform, RISKROBOT™, providing10x acceleration, automated data preparation and management, model development, regulatory documentation, validation and monitoring for credit risk management in banks
  • The Climate Service (Durham, NC): Developed their Climanomics® software as a service platform that enables investors and corporations to incorporate climate risks into their strategic planning, risk management, and climate risk disclosure processes
  • Util (London, UK): A platform that autonomously gathers and quantifies sustainability data about companies, products, services and portfolios at scale
  • Vesttoo (Tel Aviv, Israel): A company that provides data-driven risk modeling for the L&P and P&C insurance markets, providing insurers and pension funds with affordable, strategic risk transfer to the capital markets, while investors benefit from uncorrelated, high-yield investments with remote loss possibilities

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

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.

Samantha Kappagoda was a Fireside Panelist at the CEE National Economics Challenge

Samantha Kappagoda was a Fireside Panelist at the CEE National Economics Challenge

Samantha Kappagoda was invited to participate in a fireside panel discussion at the Council for Economic Education (CEE) National Economics Challenge (NEC) on May 21, 2021. Attendees included NEC participants, judges and members of the CEE community. This panel followed the NEC semi-finals. The final round took place on May 22-24, 2021.

Mark Zandi, Chief Economist, Moody’s Analytics, opened the discussion with comments on the current state of the global economy. This was followed by the fireside panel, moderated by Nan Morrison, President and Chief Executive Officer of the Council for Economic Education. Samantha Kappagoda’s fellow panelists were:

Samantha Kappagoda is Chief Economist and Co-Founder of Risk Economics. She previously served three terms on the CEE Board of Directors.

Samantha Kappagoda was a Fireside Panelist at the CEE National Economics Challenge

The CEE National Economics Challenge is the country’s only economics competition of its type for high school students. The NEC competition, established in 2000, incorporates questions on microeconomic and macroeconomic principles as well as knowledge of the global economy. In most years, over 20,000 participate in the NEC, which is one of CEE’s key initiatives focusing public attention on the benefits of economic literacy.

About the Council for Economic Education
The Council for Economic Education’s (CEE) mission is to equip K-12 students with the tools and knowledge of personal finance and economics to improve decisions making. CEE has carried out its mission for over 70 years by providing resources and training to K-12 educators. Nearly two-thirds of the teachers that are engaged with CEE are based in low to moderate income schools. All resources and programs are developed by educators and delivered by their 188 affiliates across all states. CEE reaches over 50,000 teachers a year through in-person professional development and those teachers, in turn, reach approximately 5 million students throughout the country. For more information, visit: https://www.councilforeconed.org.

David K.A. Mordecai Participated in Demo Day 2020 for FinTech Innovation Lab

David K.A. Mordecai Participated in Demo Day 2020 for FinTech Innovation Lab

David K.A. Mordecai participated in Demo Day 2020 for FinTech Innovation Lab (FTIL) on June 25, 2020, as Scientist-in-Residence for FTIL. FTIL is an accelerator platform for early and growth stage technology firms, organized by the Partnership Fund for New York City, in conjunction with Accenture and a consortium of venture capital firms and global financial institutions.

As Scientist-in-Residence for FTIL, David K.A. Mordecai is one of six distinguished senior advisors who are members of the FTIL Mentors Network, comprised of seasoned entrepreneurs that have successfully launched and scaled a financial technology company to acquisition or IPO. Members of the Network serve as mentors and informal advisors for companies accepted into FTIL, providing guidance on the broad range of issues faced by senior management of financial technology (FinTech) companies.

Due to the COVID-19 pandemic, the entire FTIL 2020 cycle was conducted remotely. In addition, FTIL Demo Day 2020 was held remotely via YouTube, making it the first such FTIL Demo Day to be conducted entirely online.

FinTech Innovation Lab
Demo Day 2020
Applicants to FTIL must have at least a working beta version of their technology that is ready for testing in either the institutional or retail market. The Chief Technology Officers from the 43 supporting financial firms selected the current set of ten participants for the 2020 cycle:

  • Alkymi: Uses machine learning to create a data inbox that extracts business data from email and documents to accelerate business processes.
  • ArthurAI: A production Artificial Intelligence (AI) monitoring platform that seeks to provide enterprises with the tools to detect model performance issues proactively, provide auditability and explainability to black box decisioning, and measure algorithmic bias to ensure fair decisioning.
  • Broker Buddha: A software-as-a-service (SaaS) platform for independent agents that helps them grow their business through interactive customer, friendly, online applications.
  • ClauseMatch: A content collaboration platform seeking to enable financial institutions’ global compliance and risk teams to interact with, review and approve centralized policy documents with a precise audit trail mapping them to regulatory obligations to help ensure regulatory compliance.
  • Datafleets: An enterprise federated intelligence platform that uses machine learning to analyze unseen, sensitive data to generate business insights without compromising data privacy.
  • Knoema: A knowledge and data management firm that works with corporates, buyside and sellside firms to manage, catalog and discover all of their subscription, public and internal data assets.
  • Sigma Ratings: A counterparty risk platform that seeks to leverage machine learning and deep domain expertise to enable automated entity-level risk benchmarking and ongoing monitoring of non-credit risks at scale.
  • SkyHive: An AI technology that seeks to transform the reskilling process for workers and workforces. SkyHive rapidly identifies internal skill sets, compares to the external labor market, identifies emerging and future skills, and automates the navigation of reskilling to the future state in real-time.
  • Summer: Seeks to help student loan borrowers lower their debt by using technology and industry expertise to identify and enroll them in the best possible repayment plan for their financial situation.
  • True Flood Risk: An AI-driven property risk management platform that seeks to provide individual property level data & real time analytics helping banks, insurers, property owners and risk mitigation experts identify and quantify the financial impact of flood risk in real-time.

David Mordecai leads research activities at RiskEcon® Lab @ Courant Institute of Mathematical Sciences and is President of Risk Economics.

About RiskEcon® Lab @ Courant Institute
The mission of RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences 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, our goal is robust 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.

RiskEcon® Lab enables, facilitates and coordinates academic research focusing on these patterns and trends, through the development of commercially-viable, analytic applications employing computational statistical tools in conjunction with innovative and non-traditional data structures. In addition, the lab’s activities involve the advancement of applied mathematical statistics and computational economics, through interdisciplinary post-doctoral, postgraduate, graduate research and education in data science and social computing.

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 the Partnership Fund for New York City
The Partnership Fund for New York City is the $160 million investment arm of the Partnership for New York City, New York’s leading business organization. The Fund’s mission is to engage the City’s business leaders to identify and support promising entrepreneurs — in both the for-profit and nonprofit sectors – to create jobs, spur new business and expand opportunities for New Yorkers to participate in the City’s economy. As an “evergreen” fund, realized gains are continuously reinvested.

David K.A. Mordecai was Invited to Present at the ABA Artificial Intelligence and Robotics National Institutes

David K.A. Mordecai was Invited to Present at the ABA Artificial Intelligence and Robotics National Institutes

David K.A. Mordecai, President of Risk Economics, was invited to present at the American Bar Association (ABA) Artificial Intelligence and Robotics National Institutes conference on January 9-10, 2020 in Santa Clara, CA.

In the panel entitled Investigations in the Era of AI, David K.A. Mordecai discussed practical implications of mathematical statistics, computational inference, machine learning and Artificial Intelligence (AI) in the context of large-scale, data-intensive technical investigations, e.g. algorithmic trading platforms, as well as for very large and highly complex litigations across finance and insurance, among other sectors:

  • Computational Forensics and technical aspects of evidentiary burden and standards for admissibility and weight of machine testimony and machine behavior
  • Principles of machine testimony and digital forensics: data adequacy, data sufficiency and representativeness
  • Inherent limitations of data and algorithms: data bias, sampling bias, algorithmic bias, software and hardware errors
  • Foundational technical principles and the fundamental forensic reliability of evidence and scientific analysis

Dr. Mordecai served on the planning committee for this first-of-a-kind National Institute, assisting in shaping the agenda and speaker lineup. He is a regular speaker at ABA events and serves as the Vice-Chair of the ABA Science & Technology Law Section’s Artificial Intelligence and Robotics Committee and also the Nanotechnology Committee.

David K.A. Mordecai was Invited to Present at the ABA Artificial Intelligence and Robotics National Institutes