Data Science and Analytics Committee
To further the actuarial profession’s involvement in Big Data and machine learning technologies and to inform public policy decision making related to the use of Big Data, predictive models, and other advanced analytics in unbiased and objective terms. The committee monitors federal legislation and regulatory activities and is charged with developing papers intended to educate stakeholders.
Chairperson:
Kirsten Pedersen
Vice Chairperson:
Spencer Sadkin
Marcella Ruzicka
Marcella Ruzicka
Members:
Shawna Ackerman
Calvin Baker
Jennifer Balester
Matthew Lewis Burns
Mary Pat Campbell
Nathan Cornwell
Taylor Davis
Mario DiCaro
Andrew Dilworth
Robert Eaton
Alexander Esche
Qing Fang
Richard Gibson
Robert Gomez
Shruti Gupta
Brad Herman
Bobby Jaegers
Mary Kannon
Dzianis Kapylou
John Koestner
Thomas Kolde
Yazhan Lin
Xin Liu
Christina May
Paul Meixler
Tyson Mohr
Reese Mularz
Sarah Murphy
Suzanne Obrou
Mark Olson
Maya Perelman
Andrew Provines
Sandhya Ramakrishnan
Andrea Rome
Julia Romero
Marcella Ruzicka
Spencer Sadkin
David Schraub
Amber Schreve
Paula Schwinn
Matthew Self
Yixuan Song
Andrei Titioura
Brett Ware
William Winship
Teng Xu
Yukki Yeung
April Yu
Calvin Baker
Jennifer Balester
Matthew Lewis Burns
Mary Pat Campbell
Nathan Cornwell
Taylor Davis
Mario DiCaro
Andrew Dilworth
Robert Eaton
Alexander Esche
Qing Fang
Richard Gibson
Robert Gomez
Shruti Gupta
Brad Herman
Bobby Jaegers
Mary Kannon
Dzianis Kapylou
John Koestner
Thomas Kolde
Yazhan Lin
Xin Liu
Christina May
Paul Meixler
Tyson Mohr
Reese Mularz
Sarah Murphy
Suzanne Obrou
Mark Olson
Maya Perelman
Andrew Provines
Sandhya Ramakrishnan
Andrea Rome
Julia Romero
Marcella Ruzicka
Spencer Sadkin
David Schraub
Amber Schreve
Paula Schwinn
Matthew Self
Yixuan Song
Andrei Titioura
Brett Ware
William Winship
Teng Xu
Yukki Yeung
April Yu
Related Publications
DSAC Comments to IAIS on a Public Consultation on AI
The Data Science and Analytics Committee (DSAC) submitted comments to the International Association of Insurance Supervisors (IAIS) on IAIS' public consultation draft application paper on the...Date Published: 02/27/2025
Read More
Defining Big Data
The Data Science and Analytics Committee released an issue paper, Defining Big Data. The paper is intended to build a shared language and concepts of big data and associated themes for the actuarial...Date Published: 09/25/2024
Read More
DSAC Present to CASTF on Data Bias
Members of the Data Science and Analytics Committee presented at the NAIC CASTF (Casualty Actuarial Statistical Task Force) "Book Club". The presentation explored key types of data bias that...Date Published: 08/28/2024
Read More
Committee Comments on AI Use in the Financial Services Sector
The Data Science and Analytics Committee commented to the U.S. Department of the Treasury on the Request for Information (RFI) on Uses, Opportunities, and Risks of Artificial Intelligence in the...Date Published: 08/12/2024
Read More
Discrimination: Considerations for Machine Learning, AI Models, and Underlying Data
This issue brief defines discrimination (including distinguishing between discrimination, unfair discrimination, and unjust discrimination); presents practical methods for testing and monitoring...Date Published: 08/07/2023
Read More
DSAC Releases Issue Brief on Big Data in Actuarial Modeling
The Data Science and Analytics Committee (DSAC) released an issue brief, Big Data and Algorithms in Actuarial Modeling and Consumer Impacts. It outlines big data issues confronting actuaries and...Date Published: 10/14/2022
Read More
DSAC & RETF Release Major Issue Brief on Correlation and Causation
The Data Science and Analytics Committee, in partnership with the Racial Equity Task Force, released a major issue brief, An Actuarial View of Correlation and Causation - From Interpretation to...Date Published: 07/06/2022
Read More
DSAC Presents to NAIC CASTF Book Club on Big Data and Algorithms Issue Paper
The Academy’s Data Science and Analytics Committee (DSAC) presented to the National Association of Insurance Commissioners’ (NAIC) Casualty Actuarial and Statistical (C) Task Force (CASTF) Book...Date Published: 01/26/2022
Read More
Academy Releases Major Issue Paper on Big Data and Consumer Impacts
The Data Science and Analytics Committee released a major issue paper, Big Data and Algorithms in Actuarial Modeling and Consumer Impacts.Date Published: 11/08/2021
Read More
Data Science and Analytics Committee Comments to Federal Agencies on AI
The Data Science and Analytics Committee submitted comments in response to a joint request for information and comment from several federal agencies regarding financial institutions’ use of...Date Published: 06/30/2021
Read More
DSAC Update to NCOIL Special Committee on Race In Insurance Underwriting
Data Science and Analytics Committee (DSAC) Chair, Dorothy Andrews, addressed the issue of Race in Insurance Underwriting in a meeting convened by the National Council of Insurance Legislators and...Date Published: 12/09/2020
Read More
Dorothy Andrews Comments to NCOIL Special Committee on Race In Insurance Underwriting
Data Science and Analytics Committee (DSAC) Chair, Dorothy Andrews, addressed the issue of Race in Insurance Underwriting in a meeting convened by the National Council of Insurance Legislators and...Date Published: 12/09/2020
Read More
Big Data And The Role Of The Actuary
While the use of Big Data in the property and casualty insurance area is more developed than in some of the other areas of actuarial practice, significant advances have been made in recent years in...Date Published: 10/17/2019
Read More