Organizing Committee
Abstract

This workshop is a one-week program aimed at 20-25 researchers interested in the opportunity to shape the future of research on the mathematics of crime. Small teams will come together to work on real problems with real crime and policing data provided by the Providence Police Department. Five teams will be assembled, each with a technical advisor who will share their expertise and serve as an anchor point and leader for hands-on research that will take place over the course of the week. This will be a truly hands-on experience in which groups will spend time brainstorming mathematical methods and models to approach the problem at hand, analyzing data provided, and creating code to implement ideas as necessary. There will also be research presentations from the technical advisors throughout the week, as well as closing presentations by each team to present their ideas and progress at the end of the workshop. We fully anticipate that lasting collaborations will be formed, and that work on the projects will continue after the workshop ends. The following topical problems will focus the research activities:

  • Police Patrol Analysis: Police departments are increasingly adopting technologies such as GPS to track police patrols, but widespread adoption is far off. However, departments commonly track calls for service, giving brief glimpses into where officers are located at specific points in time. Can this limited data be used to estimate more detailed pictures of police distribution across the city? And, given these estimates, can we attempt to measure quantitatively the effect that patrols have on crime?

  • Dynamic prediction of crime events and crime patterns: Work on this topic has greatly expanded in recent years, using statistical techniques and differential equation based methods. But, new methods of data analytics and techniques such as data assimilation may also prove promising. Can the team use historical crime records from Providence to develop new methods of predicting future crime?

  • Criminal networks big and small: Criminal offending is often a solo activity, but it also can occur in a social context. Can arrest and event data as well as fragmentary information on co-offending patterns be used to infer criminal network structure and processes? Can we detect when larger criminal networks adopt formal organizational structures?

  • Crowds and social unrest: Social unrest is a common occurrence, but only recently have technologies such as smartphones and social media enabled specific events to be quantitatively analyzed after the fact and potentially even predicted in real time. Can data such as geocoded social media activity be used to understand the dynamics of events such as riots, and be used to identify them as they begin to occur?

  • Social media and hate: Social media, and the internet more broadly, is a tremendous platform for creativity, but it also has a dark side. Hate speech is common and hate groups are well represented and not just in the corners of the internet. Can natural language processing and other machine learning methods be used to detect and map the spread of hate speech within social media spaces?

Note: some familiarity with coding, statistics, networks/graphs, the concept of "machine learning", ordinary and partial differential equations, analysis, and numerical solving will be helpful to applicants, but not required.

Image for "Predictive Policing"

Confirmed Speakers & Participants

  • Speaker
  • Poster Presenter
  • Attendee
  • Virtual Attendee

Workshop Schedule

Monday, August 8, 2016
TimeEventLocationMaterials
8:30 - 8:45am EDTRegistration11th Floor Collaborative Space 
8:55 - 9:00am EDTWelcome Remarks11th Floor Lecture Hall 
9:00 - 9:15am EDTOpening Remarks11th Floor Lecture Hall 
9:15 - 9:45am EDTOpening Presentation 1- Crime and Policing 11th Floor Lecture Hall 
9:45 - 10:15am EDTOpening Presentation 2- Math and Crime 11th Floor Lecture Hall 
10:15 - 10:45am EDTOpening Presentation - Questions and Conversations11th Floor Lecture Hall 
10:30 - 10:45am EDTCoffee/Tea Break11th Floor Collaborative Space 
10:45 - 11:30am EDTIntroduction of Project Leads11th Floor Lecture Hall 
11:30 - 11:45am EDTIntroduction of Projects11th Floor Lecture Hall 
11:45 - 12:00pm EDTProject Selection11th Floor Lecture Hall 
12:00 - 1:00pm EDTLunch / Free Time  
1:00 - 2:00pm EDTTeam Announcements, Logistics, First Meeting11th Floor Lecture Hall 
2:00 - 2:15pm EDTBreak11th Floor Collaborative Space 
2:15 - 3:45pm EDTTeam Activities  
3:45 - 4:00pm EDTCoffee/Tea Break11th Floor Collaborative Space 
4:00 - 5:00pm EDTTeam Activities  
5:00 - 6:30pm EDTWelcome Reception11th Floor Collaborative Space 
Tuesday, August 9, 2016
TimeEventLocationMaterials
8:45 - 10:15am EDTTeam Activities  
10:15 - 10:30am EDTCoffee/Tea Break11th Floor Collaborative Space 
10:30 - 12:00pm EDTTeam Activities  
12:00 - 1:30pm EDTLunch / Free Time  
1:30 - 4:15pm EDTTeam Activities  
4:15 - 4:30pm EDTCoffee/Tea Break11th Floor Collaborative Space 
4:30 - 5:00pm EDTTalk 111th Floor Lecture Hall 
5:00 - 5:30pm EDTTalk 211th Floor Lecture Hall 
Wednesday, August 10, 2016
TimeEventLocationMaterials
8:45 - 10:15am EDTTeam Activities  
10:15 - 10:30am EDTCoffee/Tea Break11th Floor Collaborative Space 
10:30 - 12:00pm EDTTeam Activities  
12:00 - 1:30pm EDTLunch / Free Time  
1:30 - 4:15pm EDTTeam Activities  
4:15 - 4:30pm EDTCoffee/Tea Break11th Floor Collaborative Space 
4:30 - 5:00pm EDTTalk 311th Floor Lecture Hall 
5:00 - 5:30pm EDTTalk 411th Floor Lecture Hall 
Thursday, August 11, 2016
TimeEventLocationMaterials
8:45 - 10:15am EDTTeam Activities  
10:15 - 10:30am EDTCoffee/Tea Break11th Floor Collaborative Space 
10:30 - 12:00pm EDTTeam Activities  
12:00 - 1:30pm EDTWorking Lunch & Plan Report  
1:30 - 4:15pm EDTTeam Activities  
4:15 - 4:30pm EDTCoffee/Tea Break11th Floor Collaborative Space 
4:30 - 5:00pm EDTTalk 511th Floor Lecture Hall 
Friday, August 12, 2016
TimeEventLocationMaterials
8:00 - 9:00am EDTBreakfast & Report Preparation  
9:00 - 9:30am EDTReport Preparation  
9:30 - 9:45am EDTCoffee/Tea Break11th Floor Collaborative Space 
9:45 - 11:00am EDTReport Preparation  
11:00 - 12:00pm EDTLunch & Report Preparation  
12:00 - 12:30pm EDTTeam 1 Report11th Floor Lecture Hall 
12:30 - 1:00pm EDTTeam 2 Report11th Floor Lecture Hall 
1:00 - 1:30pm EDTTeam 3 Report11th Floor Lecture Hall 
1:30 - 2:00pm EDTTeam 4 Report11th Floor Lecture Hall 
2:00 - 2:30pm EDTTeam 5 Report11th Floor Lecture Hall 
2:30 - 2:45pm EDTBreak11th Floor Collaborative Space 
2:45 - 3:45pm EDTReception/Group Discussion & Law Enforcement Commentary11th Floor Lecture Hall 

Working Groups

Calls for Service
  • David Lloyd, Team Leader (University of Surrey)
  • Mahesh Agarwal (University of Michigan-Dearborn)
  • Stephen DeSalvo (UCLA)
  • Monica Moreno (Edmonton Police Service)
  • Naratip Santitissadeekorn (University of Surrey)
  • Talitha Washington (Howard University)
Crime and Mobility
  • Marta Gonzalez, Team Leader (MIT)
  • Haiyan Cheng (Willamette University)
  • Monica Ribero (Quantil)
  • Chuntain Wang (University of California)
Networks
  • Chad Topaz, Team Leader (Macalester College)
  • Scott Anderson (Washington State Dept. of Corrections)
  • Toby Davies (University College London)
  • Bryan Martin (University of Washington)
  • Rose Nguyen (University of Washington)
  • Stephan Sturm (WPI)
Riots
  • Hannah Fry, Team Leader (University College London)
  • Alethea Barbaro (Case Western Reserve University)
  • Chris Browne (Cornell University)
  • Cynthiaann Bryant, (Hunter college)
  • Daniel Cooney (Princeton University)
  • Louis Ellam (University of Warwick)
  • Robin Thompson (University of Oxford)
Twitter Topic Modeling
  • Blake Hunter, Team Leader (Claremont McKenna)
  • Jorge Barreras (Quantil S.A.S.)
  • Yifan Cui (University of North Carolina at Chapel Hill)
  • Kun Dong (Cornell University)
  • Yves van Gennip (University of Nottingham)
  • Zhenzhen Li (HKUST)
  • Najmeh Salehi (Temple University)