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Webinars
Upcoming live webinars are listed below. For past recordings and materials are available in the Webinar Library
Certificates, CEUs, and recordings
IACA members are awarded CEUs for all webinars. Certificates of Attendance are available upon request. Recording availability varies by session and is determined by the instructor. If a session is recorded, it is typically added to the member webinar library after a 45-day delay unless otherwise noted.
Upcoming Webinars
To add a new webinar, duplicate one “Webinar Card” and update the fields.
Pinned Series English Wordly translation available
2026 Social Media & Open-Source Intelligence (OSINT) Webinar Series
This 12-part series covered social media platforms and OSINT techniques commonly used in law enforcement analysis, with sessions progressing from foundational context (history/psychology and deception via sock puppets) into platform-specific workflows (Facebook, Instagram/Threads, TikTok, Snapchat, fitness apps, and other services), then into OSINT methods and photo analysis. The series concluded with practical class exercises and a summary to reinforce documentation, defensibility, and real-world application.
Topics include: History & Psychology of Social Media; Sock Puppets & Facebook; Instagram & Threads; TikTok; CashApp, YouTube, & Other Platforms; Snapchat; Fitness Apps; OSINT; Photo Analysis
Price:
Members: $15 per session | $112.50 series pass (25% discount) Non-members: $30 per session | $225 series pass (25% discount) Stand-alone English Wordly translation available
Analysis of Criminal Networks in Python
Date/Time: March 5, 2026 • 1200 hrs • US Eastern Time
Instructor: Ruslan Klymentiev Price: Free for all attendees Recording: This webinar will be recorded. Registered participants will receive access within approximately 48 hours, whether or not they attend live. This webinar introduces criminal network analysis using Python, focusing on co-offending networks derived from police data. Participants will follow the analytical workflow, from raw police data to the construction and analysis of a social network of co-offenders. The aim is to demonstrate how routinely collected police records can be transformed into network representations that reveal how offenders are connected through shared criminal activity.
In addition to network analysis, the webinar highlights practical data manipulation techniques in Python that are commonly required when working with police data. All examples are implemented using open-source Python libraries, including Pandas for data manipulation, NetworkX for network construction and analysis, and PyViz for network visualization. No prior knowledge of social network analysis or Python programming is required, although familiarity with data analysis concepts may be advantageous.
Looking for past webinars or series materials?
Recordings and supplemental materials are available to IACA members in the Webinar Library. A historical index of previous webinar series is also available.
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