After reviewing the presentation by Davin Teo, I found some distinct similarities between social science and digital forensics. One of the largest comparisons that can be found in understanding human behavior. Victim precipitation and user behavior are two domains in particular that digital forensics teams use in their line of work. Understanding mistakes in a victim’s machine, through settings and inputs, can help ascribe what exact vector an attacker used to breach a system. User behavior builds on this, not only assisting forensics efforts on the side of understanding what victims did wrong but also tracking the perpetrator. Behaviors can include what files they access (the shadow, passwd, and root files in particular), how they type, and their access times. All can be used in apprehending/discovering the criminal. Profiling can also help digital forensics groups in identifying certain groups prone to cyber criminality/malpractice (as seen in Teo’s presentation, shadow IT was an issue during one of his investigations.) The similarities between social science and digital forensics are striking, displaying how the social aspects seemingly meld into technical ones.