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Domestic Violence Network - PowerPoint Presentation

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Domestic Violence Network - PPT Presentation

People Matching October 22 2014 Jay Colbert Indianapolis Domestic Violence Network Phase1 Developed Domestic Violence in the Criminal Justice System report in 20132014 Phase 2 Updating report ID: 576268

2013 1969 1969stephensclarenceblackmale12 1986 1969 2013 1986 1969stephensclarenceblackmale12 violence matching data 19860039351ericjoneswhitemale2 people method names domestic 1988 2009 county

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Slide1

Domestic Violence NetworkPeople Matching

October 22, 2014

Jay Colbert, IndianapolisSlide2

Domestic Violence NetworkPhase1: Developed “Domestic Violence in the Criminal Justice System” report in 2013-2014Phase 2: Updating reportThere are many different sources of DV data and the question was “how many unique people are involved?”Slide3

Data Sources

Notes

1

Domestic Violence Shelter

2

No names given

3Special IMPD domestic violence program

Source

Table

Date Range

Records

Julian

Center

1

Julian Outreach

2008

- 2013

32,540

Indianapolis

Metro PD

IMPD

Victims

2

2009 -

2013

341,558

IMPD Perpetrators

2009 - 2013

520,148

(38,780 linked to other DV Data)

Baker

One

3

2013

2,715

Marion County Prosecutor’s Office

MCPO Cases

2008

-

2013

32,885

MCPO Victims

2008

-

2013

36,133

Indiana

Supreme Court

Protective Orders (Protected Person)

2009-2013

123,630

Protective Orders (Respondent)

2009-2013

123,630

Total (with names)

871,681

Marion County DV Total (with names)

177,545Slide4

Phase 1 people matchingIn-house solution using (mainly) python scripts.Looked at combination of name, race, gender, age.Gave pretty good final results, but…It took 10 days to run.Slide5

Phase 2 people matchingResearched multiple commercial software solutions geared towards data deduplication.Some enterprise solutions as much as $30,000 and up.Some desktop solutions as cheap as $500. Slide6

Phase 2 name matchingPurchased MatchIT software.$4,000 initial, $2,000 annual renewalDiscounted since we are a nonprofitFlexibility on matching algorithms.We match on name and date of birth first.Then we move on to matching on name, race, gender, and year of birth (not all sources give us exact DOB)

We

previously used age

, but that becomes problematic with increasing number of years of data.Slide7

Example

DVNMATCH

FIRST NAME

LAST NAME

RACE

GENDER

BIRTH_DATE

BIRTH_YEAR

Tammy

Copelan

Black

Female

11/25/1983

1983

Tammy

Copland

Black

Female

11/25/1983

1983

Tamara

Copeland

Black

Female

11/25/1983

1983

Tamy

CopelandBlackFemale11/25/19831983TammyCopelandBlackFemale11/25/19831983Tammy CopelandBlackFemale11/25/19831983TammieCopelandUnknownFemale11/25/19831983TammyCopelandBlackFemale1983TammyCopelandBlackFemale1983TammyCopelandBlackFemale

These records identified as same person.

Names have been changed to protect the innocent (and the guilty).Slide8

Old Method

Old Results

POLISID

FIRST_NAME

LAST_NAME

RACE

GENDER

DOB

BIRTH_YEAR

6486

Eric

Jones

White

Male

10/1/1980

1980

6486

ERIC

JONES

White

Male

10/1/1980

1980

6486

ERIC

JONES

White

Male10/15/198219826486ERICJONESWhiteMale1/15/198519856486ERICJONESWhiteMale8/20/198119816486

EricJones

White

Male

19826486EricJonesWhiteMale10/30/198219826486EricJonesWhiteMale12/17/1985198581210EricJonesWhiteMale7/3/1988198881210EricJonesWhiteMale6/10/1989198981210ERICJONESWhiteMale2/5/1986198681210ERICJONESWhiteMale2/5/1986198681210EricJonesUnknownMale7/3/1988198881210ERICJONESWhiteMale7/3/19881988174231ERICJONESWhiteMale2/5/19861986174231ERICJONESWhiteMale2/5/19861986

Old Method had a hard time seeing people with different birthdates within a few years of one another as different people.Slide9

New Method

New Results

MATCH_REF

FORENAMES

SURNAME

RACE

GENDER

BIRTH_DATE

BIRTH_YEAR

0008050

ERIC

JONES

White

Male

1/15/1985

1985

0008050

Eric

Jones

White

Male

1/15/1985

1985

0008050

Eric

Jones

White

Male1/15/1985 19850039351EricJonesWhiteWhite2/5/1986 19860039351ERICJONESWhiteMale2/5/1986 19860039351

ERICJONES

White

Male

2/5/1986 19860039351ERICJONESWhiteMale2/5/1986 19860039351ERICJONESWhiteMale2/5/1986 19860039351ERICJONESWhiteMale2/5/1986 19860039351ERICJONESWhiteMale2/5/1986 19860141208EricJonesWhiteMale10/15/1982 19820141208ERICJONESWhiteMale10/15/1982 19820254712ERICJONESWhiteMale10/1/1980 19800254712ERICJONESWhiteMale10/1/1980 19800310884EricJonesWhiteMale7/3/1988 19880310884ERICJONESWhiteMale7/3/1988 1988

0310884

Eric

JonesWhiteMale7/3/1988 19880310884EricJonesUnknownMale7/3/1988 19880351920EricJonesWhiteMale19820427720EricJonesWhiteMale6/10/1989 19890465350ERICJONESWhiteMale8/20/1981 1981

New Method much better since it looks at exact dates of birthSlide10

New Method

New Results

SURNAME

FORENAMES

RACE

GENDER

BIRTH_DATE

BIRTH_YEAR

STEPHENS CLARENCE

Black

Male

12/3/1969

1969

Stephens

Clarence

Black

Male

1969

Stephens

Clarence

Black

Male

1969

Stephens

Clarence

Black

Male

12/3/1969 1969STEPHENSCLARENCEBlackMale12/3/1969 1969STEPHENSCLARENCEBlackMale12/3/1969 1969STEPHENSCLARENCE

BlackMale

12/3/1969

1969

STEPHENSCLARENCEBlackMale12/3/1969 1969STEPHENSCLARENCEBlackMale12/3/1969 1969STEPHENSCLARENCEBlackMale12/3/1969 1969StephensClarenceBlackMale12/31/1969 1969STEPHENSCLARENCE LBlackMale12/3/1969 1969Even gets it right when both names are accidently in one field or there is a typo in the birthdateSlide11

Many other ways to matchNameDate of Birth/AgeRace, GenderAddressPhone numbersAnything else you can think ofSlide12

What did it boil down to?The total 871,681 records boiled down to 400,736The 177,545 Marion County DV people boiled down to 92,908.Slide13

Example Output

Data Year

Julian

Outreach

Marion County Prosecutor’s Office

Protective Orders

IMPD Domestic Violence Officer Information Sheets 

Total Unduplicated Count

2009

4,499

5,471

3,888

 

12,944

2010

5,457

6,532

3,802

 

13,966

2011

5,081

5,899

3,178

 

12,155

2012

5,3545,9583,058 12,04920136,5605,8902,6532,54311,559 Unique VictimsSlide14

Example OutputSlide15

Example Output