Chosun University Department of Public Talent and Law's Mock Trial on 'Ambulance Patient Transport Obstruction Case' Draws Attention

[Asia Economy Honam Reporting Headquarters Reporter Lee Gwan-woo] Students of Chosun University brought to court the ‘Taxi Driver Obstructing Private Ambulance Patient Transport Incident,’ which caused a significant social uproar.

According to Chosun University on the 29th, the Department of Public Talent and Legal Studies at the College of Law and Social Sciences held the ‘1st Criminal Mock Trial of the Department of Public Talent and Legal Studies, College of Law and Social Sciences, Chosun University’ on the afternoon of the 26th in the college’s mock courtroom.

The mock trial was organized to provide students with an opportunity to directly apply the legal knowledge they learned in the classroom to the trial process, thereby connecting theory and practice.

This mock trial reenacted the ‘Taxi Driver Obstructing Private Ambulance Patient Transport Incident’ that occurred in June and became a social issue.

The key legal issues in this mock trial were murder and involuntary manslaughter under criminal law, as well as obstruction of business.

In the mock trial, students selected a topical social issue themselves, divided roles as in an actual trial, and studied the key legal principles and criminal procedure.

Evidence used in the trial, such as traffic accident expert reports, was also created directly by the students.

Additionally, based on the evidence, students drafted indictments and defense opinions, rebutted each other’s arguments, wrote scenarios, and conducted the trial.

Jung Gu-tae, head of the Department of Public Talent and Legal Studies, said, “The Department of Public Talent and Legal Studies was established last year and is doing its best to cultivate legal professionals with ‘cold reason and warm emotion.’ Through this criminal mock trial, I hope students not only develop a legal mind but also strengthen the close bonds between seniors and juniors.”

This content was produced with the assistance of AI translation services.