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Data for the Defense: Effective Use of Sentencing Data Analytics

Sep. 9, 2026 (1:00PM-2:00PM)
Eastern Time Zone
DSO Staff Contact:
Location:
 Online
Training Event Type:
Virtual
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Training Event Description

Sentencing data analytics is the process of analyzing sentencing data to understand patterns based on factors such as offense types, individual characteristics, and jurisdictions. Defense attorneys can effectively use data tools to make sentencing arguments and provide objective, data-driven insights to judges with respect to sentencing decisions. In this webinar, participants will learn about data tools from various sources, including tools from the Sentencing Commission, as well as Sentencing Resource Counsel’s new SEntencing Data Analyzer Tool (SEDA). SEDA is a free web-based data dashboard designed specifically for Defenders and Panel attorneys. After this session, participants will be familiar with various data analytics tools, and in particular will understand what SEDA offers and how to use it to advocate for the lowest possible sentence for our clients.

Presenter(s)

Allison Bruning, Data Analyst, Sentencing Resource Counsel, Brooklyn, NY

Tina Woehr, Attorney, Sentencing Resource Counsel, Phoenix, AZ

CLE Applicable Event

PRE-RECORDED VIDEO/WEBINAR:
This is pre-recorded video content. To ensure the Defender Services Office Training Division, (DSOTD), posts previously recorded webinar and video content to FD.org as quickly as possible, DSOTD does not apply for CLE for viewers of previously recorded webinars or videos. However, DSOTD will provide viewers of this pre-recorded content with a Certificate of Attendance, (COA), which can be used to self-apply for CLE credits with the viewer's respective bar, depending on the requirements of the viewer's bar association. If you would like to request a COA to self-apply for CLE credit for watching this pre-recorded webinar or video, email your request to George_Couture@ao.uscourts.gov along with your name, your state and bar number, the full title of the recording you viewed and the date you viewed it.