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Criminal Justice in Big Data Era: Opportunities and Challenges” was Successfully Held

Criminal Justice in Big Data Era: Opportunities and Challenges” was Successfully Held in the Lecture Series on “Law Road Discussions” in the Activity Month of Science, Technology and Culture. 
On the evening of April 20, 2019, Teacher Jiang Su, Associate Professor and Doctoral Supervisor of Peking University Law School ,Deputy Director of Criminal Rule of Law Research Center of Peking University,  Deputy Director of the Legal Artificial Intelligence Laboratory / Research Center of Peking University, was invited to Law School of Nanjing Normal University to give an academic lecture entitled “Criminal Justice in Big Data Era: Opportunities and Challenges”. The lecture was presided over by Associate Professor Wang Yanqiang of Law School of Nanjing Normal University. Dr. Zhuang Xulong of East China University of Politics and Law, Xu Lingbo, Deputy Research Fellow of Nanjing University Law School as well as more than 50 teachers and students of Law School of Nanjing Normal University attended the lecture.


In the first, Mr.Jiang introduced traits and application conditions of big data. He pointed out that full-sampled, hybridity and relativity are the most distinct and basic characteristics of big data; relativity is the the core of characteristics. The second part was on the use of big data in criminal justice. Firstly, big data is most widely used in preventive policing. Secondly, in the criminal process, big data provides predictions of social harm for the suspect's pretrial detention and the necessity of bail pending trials, and to some extent provides possible advice for sentencing. Lastly, In terms of penal enforcement, big data can assess the risk of commutation, parole and temporary execution, while assessing and investigating recidivism rates and incarceration rates. The Last part was on the challenges of big data criminal justice and thoughts on the future of big data criminal justice. In face of a series of challenges,we need to break the data islands, let the data between the public agency and the company be shared, and need to establish certain mechanisms to improve the fairness and interpretability of the algorithm. It is necessary to prevent the emergence of “monitoring society” and promote the establishment of the Personal Information and Data Protection Act as much as possible. 


Subsequently, Dr. Zhuang Xulong from East China University of Political Science and Law commented on Jiang’s report and expressed his feelings. In the communication session, Associate Professor Jiang Su patiently answered questions raised by students present. At last, Associate Professor Wang Yanqiang made a brief summary of the lecture. At this point, the wonderful lectures lasting more than two hours came to a close with warm applause, and the students said that they had benefited a lot.