Short-term lectures by experts from the school of Marine science and engineering: Data analysis for Public Safety (Dr. Jiang bo, university of Maryland, USA)

Date:2019-12-03Views:0

Course content: in the current era of big data, data analysis ability has become a crucial skill in the field of public security. In order to improve students' ability to analyze public security data, we specially invite Dr. Jiang bo from the university of Maryland to hold a one-week data analysis course from December 17 to 21, 2019. In this course, based on his experience in global terrorism and piracy, Dr. Jiang bo will give you a detailed introduction to the process of data acquisition, data analysis methods and tools.

 

Speaker: Dr. Jiang bo, university of Maryland, USA

Figure 1 Dr. Jiang bo and his supervisor professor Gray LaFree
Jiang bo graduated from the university of Maryland, USA. He is currently a research assistant in the school of criminology and criminal justice, university of Maryland, USA and a tutor in the institute of criminology, university of Cambridge, UK. He studied for bachelor's and master's degrees in the department of economics at the national university of Singapore and in the department of crime at the university of Pennsylvania. He also taught in the department of strategy and policy at the school of business at the national university of Singapore. Since 2014, I have been studying under professor Gray LaFree, director of START and professor of the department of criminal justice at the university of Maryland. Research interests are focused on issues such as "human trafficking and social control", "prisons and violent political extremism", "piracy" and "terrorist attacks", using advanced quantitative analysis. The paper has been published in the international criminology journal "quantitative criminology" and other journals. His research paper on "pirates in the south China sea and the strait of malacca" won the first prize in the paper competition of the American society of criminology's international division of criminology.
 
Course time: December 17, 2019 (Tuesday) - December 21, 2019 (Saturday)
 
 
 
The course arranges the content of the lectures
December 17, 2019
Spatial-temporal analysis of pirate attacks (part 1) with ArcGIS
 
Spatiotemporal analysis of pirate attacks based on ArcGIS (part I)
 
December 18, 2019
Spatial-temporal analysis of pirate attacks (part 2) with ArcGIS
 
Spatiotemporal analysis of pirate attacks based on ArcGIS (part ii)
 
December 19, 2019
1) Maritime piracy in Malacca Strait and South China Sea -- Testing the routine activities perspective
 
Piracy in the strait of malacca and the south China sea -- a test of daily activity
 
2) Climate change, economic stress and maritime piracy
 
Climate change, economic stress and piracy
 
3) Group based trajectory analysis of maritime terrorism using the Global terrorism Database
 
The global terrorism database was used to analyze the trajectory of terrorist groups at sea
 
December 20, 2019
Spatial-temporal analysis of terrorist attacks using the Global Terrorism Database with ArcGIS
 
Spatial and temporal analysis of terrorist attacks based on ArcGIS global terrorism database
 
December 21, 2019 summary and discussion
 
 
Main methods, data and software for course presentation:
 
(1) related methods include spatial econometrics, survival analysis, bayesian statistics, social network, risk modeling, machine learning, etc.;
 
(2) use the "university of Maryland global terrorist attacks" database and the "pirate incidents" database, which are free and open.
 
(2) the main software includes ArcGIS, R, Stata and so on.
 
 
 
 
 
English Introduction for 'Data analysis for Public Safety'
 
Introduction to the course: The emergence of maritime piracy has caused a great deal of concerns among various dimensions of our society. However, With what exceptions the prior research has had been hampered by a lack of theoretical underpinning and access to the most appropriate statistical methods. While there are nuances of piracy that can be Considered quite unique, In general it can be situated within a broader framework of offending -based on outcomes that seemingly share many of the same qualities. My research attempts to improve our understanding of the crime By testing three core tenets of situational perspectives in the context of piracy. Three research questions motivated by LaFree and Birbeck (1991) 's conceptualization of a situation is examined:
 
To what extent does the study of maritime piracy support the central tenets of environmental criminology and crime and harm concentration at places?
 
2) How do offender motivation, target suitability and the absence of capable guardians and their convergence impact the instantaneous risk of piracy in South East Asia.
 
3) To what among the do economic the conditions of fishermen impact the instantaneous risk of piracy in East Africa and South East Asia.
 
I rely on the IMO-GISIS database from 1995 to 2014, as well as auxiliary data from various organizations to tackle these questions.
 
First, exploiting spatial econometrics methods, I find that there is statistically significant spatiotemporal patterns of concentration of hot spots and harm spots. The magnitude of The global diffusion of benefits is also estimated.
 
Second, results from survival analyses indicate that the hazard statistics of the measures of high motivation, absence of capable guardians, Suitable targets and their convergence are greater than 1 and significant in both the Malacca Strait and South China Sea. The series of robustness tests based on both frequentist and Bayesian The statistics dojo.provide similar conclusions.
 
Third, using a two-stage semiparametric approach, I find that there is statistically significant evidence to show that economic the conditions of the fisherman - pirate adversely impact the instantaneous risk of ships being attacked in East Africa and the Malacca Strait and South China Sea. A robustness check based on an alternative specification supports the fins. I conclude with the implications of the research for theory, Social policy and future research.
 
About the speaker: Dr. Bo Jiang obtained his PhD at the Department of Criminology and Criminal Justice, University of Maryland. He is primarily interested in applying advanced quantitative methods to the study of the causes and consequences of transnational crimes. He is currently a Faculty Research Assistant at the Department of Criminology and Criminal Justice, University of Maryland, and a Supervisor at the Institute of Criminology, University of Cambridge. His publications have appeared in theJournal of Quantitative Criminology, among others.
 
Organizer:
 
Department of safety science and engineering, school of Marine science and engineering, Shanghai maritime university
 
Marine public security research center, Shanghai maritime university
 
Center for safety technology trends, Shanghai maritime university