Scott Crouch, Mark43 // Reimagining Police Software
-
Upload
firstmark-capital -
Category
Technology
-
view
622 -
download
1
Transcript of Scott Crouch, Mark43 // Reimagining Police Software
![Page 1: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/1.jpg)
IDENTIFYING DUPLICATE PEOPLE IN LAW ENFORCEMENT RECORDS
mark43
scott crouchco-founder & ceo
ej bensingsoftware engineer
![Page 2: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/2.jpg)
mark43
A LITTLE BIT ABOUT US
founded
mission
help our first responders fight violent crime
funded by
2012
![Page 3: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/3.jpg)
mark43
THE PROBLEM IN LAW ENFORCEMENT SOFTWARE
![Page 4: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/4.jpg)
mark43
HUGE FRAGMENTATION ISSUES
18,000+ U.S. police departments
most software currently on premise
data incompatibility issues
![Page 5: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/5.jpg)
mark43
WHAT WE’RE BUILDING
cloud-based records management, and analysis platform
![Page 6: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/6.jpg)
mark43
A TYPICAL ARREST
domestic violence - aggravated assault
1 suspect, 1 victim
1 gun recovered
avg. # of fields
344
![Page 7: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/7.jpg)
mark43
THE DATA ISSUE
for each person that is arrested
fields collected
85-150
NUMEROUS DUPLICATES OF PEOPLE
no universal master record of people
![Page 8: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/8.jpg)
mark43
IS THERE A FEDERAL SOLUTION?
national warrant/wanted database
NCIC
master fingerprint ID system
IAFIS
all administered by the FBI, but no master person records
![Page 9: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/9.jpg)
mark43
WHAT CAN WE DO ABOUT THIS?
![Page 10: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/10.jpg)
mark43
WORKING WITH THE DATA
Washington, D.C. Metropolitan Police Dept.
20,000,000 reports
5,000,000 people
we had to import
![Page 11: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/11.jpg)
mark43
DIFFICULTIES
names are not unique identifiers
data is very siloed
cannot legally, automatically merge people
![Page 12: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/12.jpg)
mark43
WHAT TO DO?
87.7% of Americans can be correctly identified by DOB, Gender, and Location1
K-Anonymity leads to a Quasi-Identifier2
L. Sweeney, “Simple Demographics Often Identify People Uniquely.” Carnegie Mellon University, Data Privacy Working Paper 3. Pittsburgh, 2000.
L. Sweeney, “k-anonymity, a model for protecting privacy” International Journal on Uncertainty, Fuzziness and Knowledge-Based Systems, 10(5), 2002; 557-570.
![Page 13: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/13.jpg)
mark43
OUR APPROACH
quasi-identifiers to create groups of “likely duplicate” records
generic enough to work on other datasets (property, vehicles, etc.)
string matching
![Page 14: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/14.jpg)
mark43
RESULTS
sample data set
accuracy of our first try?
5,000 people
2,000 known duplicates
80% of duplicates correctly identified
![Page 15: Scott Crouch, Mark43 // Reimagining Police Software](https://reader034.fdocuments.us/reader034/viewer/2022042706/589f2dd61a28ab4d568b57c3/html5/thumbnails/15.jpg)
mark43
MOVING FORWARD
incorporating
dealing with rollbacks and versioning
real-time recommendations
officer feedbackcorrect and incorrect matched data
handlingpropertyevidencevehicleslocations