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Purpose: = ce
“The: Federal government is committed to en
faith-based; have an equal opportunity to compete for-Federal f
~<the population of applicants for Federal funds, we are asking
~yprivate universities) to fill out this survey: oe :
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ring that all qualified applicants, small or large; non-religious or
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- Upon receipt, the survey will be separated from the a plication. information prov ded on the s urvey will notb
considered. in
Instructions for Submitting the Survey _
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onprofit private organizations (not including _.
ny way in making funding decisions and will not be included in the Federal grants. database
“While your help in this data collection process is greatly appreciated, completion of this survey
If you. are applying using:a hard copy application, lease place the com pleted:s : ;
Applicant Survey." Seal the envelope and include it along with your:application package: If you are applyir
this survey along with your application, = : a
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Applicant's (Organization) Name: |okaloosa County Board of County Commissioners
Applicant's DUNS Name: [613277649
Federal Program:
BJA FY 13 Smart Policing Initiative
CFDA Number: [16.751
. Has the applicant ever received a
grant or contract from the Federal
government?
[ ]Yes
organization?
[| Yes
organization?
[ | Yes
{_| Yes
[_]No
Is the applicant a faith-based
[_] No
Is the applicant a secular
[_] No
Does the applicant have 501(c)(3) status?
[_] No
5, Is the applicant a local affiliate of a
national organization?
[| Yes [_] No
6. How many full-time equivalent employees does
the applicant have? (Check only one box).
[_] 3 or fewer [|] 15-50
[ ] 4-5 [|] 51-100
[ ] 6-14 [| over 100
7. What is the size of the applicant's
annual budget? (Check only one box.)
[ ] Less Than $150,000
[_] $150,000 - $299,999
[_] $300,000 - $499,999
[_] $500,000 - $999,999
[_] $1,000,000 - $4,999,999
[_] $5,000,000 or more
Survey Instructions on Ensuring Equal Opportunity for Applicants
Provide the applicant's (organization) name and
DUNS number and the grant name and CFDA
number.
Self-explanatory.
Self-identify.
Self-identify.
501(c)(3) status is a legal designation provided on
application to the Internal Revenue Service by eligible
organizations. Some grant programs may require
nonprofit applicants to have 501(c)(3) status. Other grant
programs do not.
Self-explanatory.
For example, two part-time employees who each work
half-time equal one full-time equivalent employee. If
the applicant is a local affiliate of a national
organization, the responses to survey questions 2 and
3 should reflect the staff and budget size of the local
affiliate.
Annual budget means the amount of money your
organization spends each year on all of its activities.
Paperwork Burden Statement
According to the Paperwork Reduction Act of 1995, no
persons are required to respond to a collection of
information unless such collection displays a valid OMB
control number. Public reporting burden for this
collection of information is estimated to average 5
minutes per response, including time for reviewing
instructions, searching existing data sources, gathering
and maintaining the data needed, and completing and
reviewing the collection of information. The obligation to
respond to this collection is voluntary (EO 13198 and
13199).
If you have comments concerning the accuracy of the
time estimate(s) or suggestions for improving the form,
please write to: The Agency Contact listed in this grant
application package.
Concept Paper for Smart Policing Initiative -- Economic/Financial Crimes Unit
Okaloosa County Sheriff's Office
1. AGENCY INFORMATION
A. NAME: Okaloosa County Sheriffs Office, 1250 N. Eglin Pky, Shalimar, FL
32579, (850)651-7410
B. CHIEF OFFICER: Sheriff Larry R. Ashley lashley@sheriff-okaloosa.org
C. GRANT CONTACT: Inspector George Collins gcollins@sheriff-okaloosa.org
D. PROJECT MANAGER: Captain Arnold Brown abrown@sheriff-okaloosa.org
2. DESCRIPTION OF THE PROBLEM
The primary focus of local law enforcement agencies is commonly, and
historically, on violent, property, and vice crimes. Funding and training for and
within these agencies reflects this priority. Economic and financial crimes (e.g.
fraud, identity theft, computer-related economic offenses), however, do not
normally receive as much attention within these types of agencies despite their
increasing prevalence, economic impact, and the difficulty of solving or
preventing these types of offenses using traditional proactive and reactive law
enforcement strategies.
Although consistent definitions of economic or financial crime are scarce within
the literature, In fact, there appears to be relatively little agreement concerning
the terminology used to describe these types of offenses, with “economic crime,”
“white collar crime,” “financial crime,” and “fraud” seemingly used
interchangeably. Nevertheless, these types of offenses tend to involve deception,
illegal financial gain, and often a breach of trust (Pickett & Pickett, 2002).
The Okaloosa County Sheriff's Office experienced a 62-percent increase in
reported fraud-related crimes during the period 2010 thru 2012. Economic and
financial crimes generally increased 31-percent during the same period.
The Sheriffs Office unincorporated area population is 122,056, with another
59,000 residing in municipalities served by four city police departments. The
Sheriff's Office has 243 sworn personnel.
Concept Paper for Smart Policing Initiative -- Economic/Financial Crimes Unit
Okaloosa County Sheriff's Office
700
600
500
400
300
200
100
2010 2010 2012
Chart 1 — Increase in Economic/Financial Crimes 2010-2012
Offenders in this category of crime have become increasingly more sophisticated
in their methods, targeting, and technology. Local financial institutions, retail
chains, and law enforcement have not kept pace in their methods and training.
Furthermore, the true economic impact of the crimes has not been determined
because of institutionalized problems with data reporting. For example, the rules
for Uniform Crime Reports (UCR) do not include reporting data for losses to
victims who live in one jurisdiction when the actual fraud takes place in another
jurisdiction.
Closure rates and, therefore, arrests of the offenders, are very low nationally
because of under-reporting of the crime, lack of specialized training in most local
agencies, very high loss thresholds for federal case involvement, and an
outmoded means of reporting and processing reports.
Anecdotally, it appears that successful fraud attempts target the elderly.
Although people of all ages and demographics have been the targets of
attempted fraud, the elderly population seems to actually fall victim more than
other demographics.
The present enforcement model, outlined below, hinders effective response,
investigation and prevention.
o Victim institution calls crime reporting number (Dispatch).
2
Concept Paper for Smart Policing Initiative -- Economic/Financial Crimes Unit
Okaloosa County Sheriff's Office
o Patrol deputy responds, takes report, interviews witnesses, gathers
quickly available evidence.
« Varied training and experience levels of responding deputies
create a nonstandard initial investigation
« Up to seven-day delay in report reaching Criminal
Investigations Division
« By the time the assigned investigator gets the case, witness
memories have clouded, witnesses are unavailable,
evidence and documents are not available or are tainted.
o Insome cases, banks and businesses wait several days before
even reporting the crime necause of a lack of faith in police action
or ability to solve the case.
The current solution rate (cases closed by arrest) for these types of crimes is
approximately 2-percent to 15-percent, depending on the specific crime.
Offenders are, therefore, able to repeat and refine their criminal activity to
victimize more businesses and individuals.
There is little information sharing between the Sheriff's Office and city police
departments in real-time. City agencies respond to these crimes in the same
way described above.
3. STEPS TO BETTER UNDERSTAND THE PROBLEM
The Okaloosa County Sheriff's Office intends to build partnerships with banking
institutions and major retailers where the bulk of high-value economic and
financial crimes seem to occur. Working with our research partner, the University
of West Florida, we will devise a survey mechanism to learn their attitudes and
observations regarding victim profiles, modus operandi, ratio of attempted versus
successful fraud events, factors contributing to failure of attempts, expectations
of law enforcement, etc.
We will also survey law enforcement officers to determine their attitudes and
level of knowledge concerning investigation of economic/financial crimes.
The research partner will work with our Information Technology Division and
investigators to determine a better method of capturing field data as it occurs and
during case entry. For example, finding a method for capturing monetary values
of forged checks when there are numerous items related to a single case has
been identified as one area requiring development. The current method involves
listing the checks and amounts in the narrative portion of reports, thus preventing
an automated way to mine the data and total the amounts. This will help
determine the true amount of loss, which is currently under-reported.
The research partner will evaluate existing agency data in addition to evaluating
the impact of our proposed innovative approaches using new data collection
Concept Paper for Smart Policing Initiative -- Economic/Financial Crimes Unit
Okaloosa County Sheriff's Office
approaches. The primary outcome variables to be examines are: number and
rate of reported economic/financial offenses; clearance and arrest rates for
economic/financial offenses; and time to closure of economic/financial offenses.
We will conduct periodic in-process reviews to determine the value of our
strategy and develop changes where necessary.
4. INNOVATIVE STRATEGY
We propose a new approach aimed at reducing the incidence and impact of
economic crimes, specifically targeting identity theft and retail-level fraud against
financial institutions and businesses that conduct frequent check cashing, credit
card, and value card transactions.
The strategy includes both reactive and proactive components:
Reactive:
The county is divided into three response districts. Each district will have one
Economic/Financial Crimes investigator assigned who will develop a direct
relationship with each bank and targeted business within the district. Thereafter,
when a financial crime occurs or is attempted at each targeted business, they will
contact the district investigator directly, rather than call Dispatch to report the
crime. Instead of a patrol officer responding to take a report and forward through
channels, the trained investigator will begin work immediately to collect evidence,
interview witnesses, analyze modus operandi, and initiate the field investigation.
This will cut out up to seven days delay in the field investigation and will insure a
more robust effort in the early stages.
investigators will be selected based on experience and talent in the subject, and
will receive additional training.
We will set-up an additional cyber forensic workstation to provide
Economic/Financial Crimes Investigators with rapid access to technical
examination of seized computers and cellular telephones. Currently, there is up
to a 6-month waiting period for such examinations.
Proactive:
Economic/Financial Crimes Unit investigators will work with analysts, bank
management and security, and business loss prevention professionals, to identify
trends and patterns in fraud and identity theft. This information will
