Webinars

Practical Python Coding and Machine Learning for Crime Analysis

Instructor Salena Ashton Torres, University of Arizona 

Wednesday, December 3rd, 2025 @ 10:00 Eastern Time

As crime analysts, we rely on our intuition and experience to make sense of complex data. Spreadsheets and traditional software help us organize and visualize that data, but they can also slow us down. On the other hand, AI-driven software promises speed and automation-but at the cost of outsourcing our own analytical judgment. This webinar demonstrates how computer programming, statistics, and machine learning can strengthen-not replace-your analytical expertise.

We encourage you to ask questions during this informational webinar. Your feedback will help to fine-tune the curriculum for an upcoming course through IACA (computer programming in the Python language, machine learning, and crime analysis).

We'll Discuss:

• What is “machine learning” (and other buzz words) and how is this practical for crime analysis?
• How programming and machine learning can complement your current workflow - spreadsheets, databases, etc - without requiring you to abandon your current methods (paper notes, spreadsheets, etc).
• How writing your own analysis programs can enhance the trustworthiness of your findings and lead to more actionable insights.
• Realistic discussion about how to begin coding-even if you’ve never programmed before and have limited time.

Register Here

Geolocation and Call Detail Record (CDR) Analysis Series 2025

Instructors Sarah Fletcher and Mike Winslow

The Geolocation and Call Detail Record (CDR) Analysis Series is a comprehensive webinar series designed to provide in-depth knowledge on analyzing call detail records and geolocation data across various telecommunications carriers. Each monthly session targets a specific carrier or application—starting with Verizon and moving through T-Mobile, AT&T, and other relevant technologies.

The series includes both analytical techniques and case studies, culminating in tools for visualization and courtroom preparation. Suitable for analysts at different levels, this series equips participants with the skills required for effective and advanced telephone toll analysis. 

Please note that the instructors will not be teaching based off a particular paid platform. The November session will discuss various paid and free options to assist with analyzing CDRs.

All CDR series sessions will be recorded; if you cannot attend the live session, we will provide the recording within 2 business days.  All registrants who are IACA members will receive Continuing Education Credits and you may request a certificate if you want one. For non-registrants, the recordings will be posted to the webinar library after 45 days.

Click here for a detailed outline and class materials (which will be added as the year progresses.)

Students can either “mix and match” individual sessions as necessary or can purchase a series pass for all 12 sessions at a 25% discount. If you join the series pass mid-year, the price will be pro-rated and you will also receive the recordings for the previous sessions without the 45-day waiting period. As of August 14th, the series pass is no longer available as we've completed 2/3rds of the series. The remaining sessions may be purchased individually using the registration form.

Most sessions are held at 1400 Eastern time on the 2nd Thursday of the month, but please verify specific dates.

• December 11th - Courtroom Prep

Completed Sessions (Available in webinar library for IACA members)

• January - Verizon CDR Analysis
• February - Verizon Case Studies
• March - T-Mobile CDR Analysis
• April - T-Mobile Case Studies
• May - AT&T CDR Analysis
• June - AT&T Case Studies
• July - Other Carrier Related Analysis - Tower/Area Dumps, Pings, etc.
  
• August - Cellebrite Device Locations
  
• September - Social Media and Apps Geolocation Analysis Pt 1
  
• October - Social Media and Apps Geolocation Analysis Part 2 (available in library approx. November 23rd)
• November- Visualization Tools & Resources (available in library approx. December 28th)

Register for CDR Series

Social Media & Open-Source Series 2026

Instructor Karie Nordland

Open-Source Intelligence (OSINT) and Social Media Intelligence (SOCMINT) are extremely power tools that can be used in law enforcement & professional investigations.  From gathering intelligence, to identifying suspects, both OSINT & SOCMINT should be skills every analyst and investigator has in their toolbox.  For investigations involving social media, an in-depth understanding of what platforms are being used, how each of them function, as well as knowing how users are posting and sharing information are necessary.  Knowledge of where to look, what to look for, and how to put together the intelligence gathered in order to garner leads and advance investigations is key.  Taught by Karie Nordland, Crime Analyst for the Lakewood Police Department, each monthly session will look into a different aspect of OSINT & SOCMINT, giving students an overall understanding of platform functionality and navigation, as well as using case studies to demonstrate the power of using OSINT & Social Media to advance & enhance investigations. 

All series sessions will be recorded; if you cannot attend the live session, we will provide the recording within 2 business days.  All registrants who are IACA members will receive Continuing Education Credits and you may request a certificate if you want one. For non-registrants, the recordings will be posted to the webinar library after 45 days.

Click here for a detailed outline and class materials (which will be added as the year progresses.)

• Series pass: $135 for IACA members, $270 for non-members
• Individual sessions: $15 for IACA members, $30 for non-members

All sessions are on the 2nd Wednesday of each month in 2026 at 1500 Eastern Time

• January 14, 2026 - History & Psychology of Social Media
• February 11, 2026 - Sock Puppets & Facebook Part 1
• March 11, 2026 - Facebook Part 2
• April 8, 2026 - Instagram & Threads
• May 13, 2026 - TikTok
• June 10, 2026 - CashApp, YouTube & Other Platforms
• July 8, 2026 - Snapchat
• August 12, 2026 - Fitness Apps
• September 9, 2026 - OSINT Part 1
• October 14, 2026 - OSINT Part 2
• November 11, 2026 - Photo Analysis
• December 9, 2026 - Class Exercises & Summary

Register for Social Media & Open-Source Series