大數據運用在親密關係暴力犯罪防治分析之探討

Big Data Applications for the Analysis of Intimate Relationship Violence Prevention

2014年9月份發生了台大生張彥文街頭砍殺前女友47刀致死事件，原本的親密愛人變成恐怖殺手，其原因何在？有無具體的徵候可循，從民間到政府，從警政到醫療到社工再到司法，是否能系統性建立一套有效的防護工程，以減少類此不幸事件發生，並彌平社會傷害，站在大數據「深度應用、分析」的起跑點，如何善用政府醫療、社工與司法資料，透過類似個案資料庫分析，運用網站資源，研擬預防與預後對策，以防止悲劇一再發生，為本研究欲了解之重要課題。本研究採文獻蒐集與分析、深度訪談法以及專家焦點座談，做為大數運用在親密關係暴力犯罪防治的初探性研究。研究結果提出親密關係暴力的現況與防治防治困境探討、與親密關係暴力有關的資料庫建置與運用情形探討、未來大數據運用在親密關係暴力防治的可行性探討，最後提出在親密關係暴力防治工作推展及資料庫建置整合與運用的短期、中長期建議。

The fatal crime of Zhang Yan-wen, a NTU student who publicly stabbed his girlfriend 47 times, happened in September 2014. Why did he ever take a U turn from a lover to a killer? Is there any specific sign that could be found? Whether we could establish an effective protection system which completely integrates cooperation from folks to the government, police to medical system and social work to judiciary, so as to reduce similar incidents and ease the social misery is a significant topic which is worthy of further discussion to us. With the in-depth application and analysis of the big data, our research intends to find out how we could prevent tragedies from reoccurring by using medical, social and judicial data effectively, analyzing similar cases in database, and utilizing resources on the internet. This research adopts following methods: 1. literature review and analysis; 2. in-depth interview; 3.panel discussion by experts. The research looks into the reasons why intimate partner violence (IPV) increased, difficulties in preventing IPV, access to IPV related databases and how big data may be applied on IPV prevention. Lastly, suggestions regarding the steps to apply big data for IPV prevention are provided. Short- to long- term suggestions for organizations in charge of IPV prevention and databases setup are also provided.