Apr 20, 2015 · 29m · mad

Scott Crouch and EJ Bensing, Mark43 // Reimagining Police Software (Hosted by FirstMark Capital)

Scott Crouch · 15m spoken EJ Bensing · 7m spoken Libby Englander · 53s spoken Matt Turck · 39s spoken Cheryl Rubion · 21s spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

At FirstMark Capital's Data Driven NYC event, Mark43 co-founders Scott Crouch and EJ Bensing present how their cloud-based platform addresses law enforcement's data deduplication and outdated software crisis. They outline the administrative burden on officers, technical algorithms for record deduplication, regulatory compliance, and real-world deployment in major police departments.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 2.5% of the talking time here. How this is scored →

Matt as informed peer 0.6 Guest teaching 2.6 Guest disagreement 0.4 Matt pushing back 0.2
05100:0010:0020:001:02–4:09 · Matt as informed peer 0/10 The Crisis in Law Enforcement Software This presentation segment is a guest monologue describing Mark43's background and legacy police software failures. Because the host does not participate, host expertise and pushback are scored zero.4:09–8:35 · Matt as informed peer 0/10 Data Complexity & Duplication in Arrest Reporting Scott Crouch delivers a monologue detailing the vast complexity of police reporting fields and duplicate record generation. Host scores remain zero due to host silence.8:35–13:35 · Matt as informed peer 0/10 Deduplication Methodology & Prototype Results EJ Bensing presents technical methodology behind deduplication, citing k-anonymity research and DC prototype results in a presentation monologue. Host scores are zero.13:35–16:08 · Matt as informed peer 0/10 Advanced Features & Generalized Data Matching EJ Bensing and Scott Crouch wrap up their monologue slides on real-time suggestions and generalized dataset matching. Host scores are zero as the host does not engage until thanking them at the end.16:08–29:39 · Matt as informed peer 3/10 Interactive Audience Q&A Session Matt Turck moderates the Q&A session, posing light questions about cloud data storage and adding casual humor. Guests politely answer questions from the host and audience with detailed explanations.1:02–4:09 · Guest teaching 2/10 The Crisis in Law Enforcement Software This presentation segment is a guest monologue describing Mark43's background and legacy police software failures. Because the host does not participate, host expertise and pushback are scored zero.4:09–8:35 · Guest teaching 3/10 Data Complexity & Duplication in Arrest Reporting Scott Crouch delivers a monologue detailing the vast complexity of police reporting fields and duplicate record generation. Host scores remain zero due to host silence.8:35–13:35 · Guest teaching 3/10 Deduplication Methodology & Prototype Results EJ Bensing presents technical methodology behind deduplication, citing k-anonymity research and DC prototype results in a presentation monologue. Host scores are zero.13:35–16:08 · Guest teaching 2/10 Advanced Features & Generalized Data Matching EJ Bensing and Scott Crouch wrap up their monologue slides on real-time suggestions and generalized dataset matching. Host scores are zero as the host does not engage until thanking them at the end.16:08–29:39 · Guest teaching 3/10 Interactive Audience Q&A Session Matt Turck moderates the Q&A session, posing light questions about cloud data storage and adding casual humor. Guests politely answer questions from the host and audience with detailed explanations.1:02–4:09 · Guest disagreement 1/10 The Crisis in Law Enforcement Software This presentation segment is a guest monologue describing Mark43's background and legacy police software failures. Because the host does not participate, host expertise and pushback are scored zero.4:09–8:35 · Guest disagreement 0/10 Data Complexity & Duplication in Arrest Reporting Scott Crouch delivers a monologue detailing the vast complexity of police reporting fields and duplicate record generation. Host scores remain zero due to host silence.8:35–13:35 · Guest disagreement 0/10 Deduplication Methodology & Prototype Results EJ Bensing presents technical methodology behind deduplication, citing k-anonymity research and DC prototype results in a presentation monologue. Host scores are zero.13:35–16:08 · Guest disagreement 0/10 Advanced Features & Generalized Data Matching EJ Bensing and Scott Crouch wrap up their monologue slides on real-time suggestions and generalized dataset matching. Host scores are zero as the host does not engage until thanking them at the end.16:08–29:39 · Guest disagreement 1/10 Interactive Audience Q&A Session Matt Turck moderates the Q&A session, posing light questions about cloud data storage and adding casual humor. Guests politely answer questions from the host and audience with detailed explanations.1:02–4:09 · Matt pushing back 0/10 The Crisis in Law Enforcement Software This presentation segment is a guest monologue describing Mark43's background and legacy police software failures. Because the host does not participate, host expertise and pushback are scored zero.4:09–8:35 · Matt pushing back 0/10 Data Complexity & Duplication in Arrest Reporting Scott Crouch delivers a monologue detailing the vast complexity of police reporting fields and duplicate record generation. Host scores remain zero due to host silence.8:35–13:35 · Matt pushing back 0/10 Deduplication Methodology & Prototype Results EJ Bensing presents technical methodology behind deduplication, citing k-anonymity research and DC prototype results in a presentation monologue. Host scores are zero.13:35–16:08 · Matt pushing back 0/10 Advanced Features & Generalized Data Matching EJ Bensing and Scott Crouch wrap up their monologue slides on real-time suggestions and generalized dataset matching. Host scores are zero as the host does not engage until thanking them at the end.16:08–29:39 · Matt pushing back 1/10 Interactive Audience Q&A Session Matt Turck moderates the Q&A session, posing light questions about cloud data storage and adding casual humor. Guests politely answer questions from the host and audience with detailed explanations.

speaking balance: gold is Matt, purple is the guest (3 minute bins)

0:00 · Matt 0% · guest 100%0:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%15:00 · Matt 14% · guest 86%15:00 · Matt 14% · guest 86%18:00 · Matt 2.5% · guest 97.5%18:00 · Matt 2.5% · guest 97.5%21:00 · Matt 0% · guest 100%21:00 · Matt 0% · guest 100%24:00 · Matt 3.6% · guest 96.4%24:00 · Matt 3.6% · guest 96.4%27:00 · Matt 6.3% · guest 93.7%27:00 · Matt 6.3% · guest 93.7%
Sharpest disagreement ▶ 18:09 Reframing police corruption premise

Scott Crouch gently rejects an audience member's framing on systemic police corruption by pointing out that for every bad officer there are a thousand great officers doing good work.

Hardest push from Matt ▶ 17:02 Challenging cloud adoption timeline

Matt Turck pushes back on the premise of government tech lag by asking if the federal government is actually ahead of Fortune 1000 companies in cloud adoption.

Biggest teaching moment ▶ 16:24 Explaining CJIS and AWS GovCloud

Scott Crouch details CJIS requirements, Department of Defense cloud standards, and AWS USGovCloud capabilities when answering where police data actually lives.

Matt holds his own ▶ 17:02 Synthesizing enterprise vs government cloud adoption

Matt Turck demonstrates industry insight by pointing out the surprising reality that federal agencies are adopting cloud infrastructure faster than major commercial enterprises.

the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
The Crisis in Law Enforcement Software 0210 This presentation segment is a guest monologue describing Mark43's background and legacy police software failures. Because the host does not participate, host expertise and pushback are scored zero.
Data Complexity & Duplication in Arrest Reporting 0300 Scott Crouch delivers a monologue detailing the vast complexity of police reporting fields and duplicate record generation. Host scores remain zero due to host silence.
Deduplication Methodology & Prototype Results 0300 EJ Bensing presents technical methodology behind deduplication, citing k-anonymity research and DC prototype results in a presentation monologue. Host scores are zero.
Advanced Features & Generalized Data Matching 0200 EJ Bensing and Scott Crouch wrap up their monologue slides on real-time suggestions and generalized dataset matching. Host scores are zero as the host does not engage until thanking them at the end.
Interactive Audience Q&A Session 3311 Matt Turck moderates the Q&A session, posing light questions about cloud data storage and adding casual humor. Guests politely answer questions from the host and audience with detailed explanations.

Statements from this episode (11)

Assertion Partly supported
Crouch: Dallas law enforcement software failure in 2014 lost offender records
“Dallas launched a new system in June of last year, And the whole system broke down to the point where they couldn't violate, ah, you know, parole pretty much offenders who basically got out of jail free because the system just lost their records entirely.”
Scott Crouch Apr 20, 2015 ▶ 1:59
Assertion Supported
Crouch: 18,000 U.S. police departments operate on disparate data schemas
“There are 18,000 U.S. Police departments, and all of them have incredibly kind of different data schemas.”
Scott Crouch Apr 20, 2015 ▶ 2:31
Assertion Not checkable as stated
Crouch: Processing a regular arrest takes over half a police shift
“It takes around maybe more than half your shift just to do a regular arrest.”
Scott Crouch Apr 20, 2015 ▶ 5:25
Assertion Not publicly verifiable
Crouch: San Antonio police system has 1.2M duplicate records out of 3M
“You look at San Antonio, Texas, right, their system out there, it probably has around three million people in their system. 1.2 million of those are duplicates.”
Scott Crouch Apr 20, 2015 ▶ 6:55
Assertion Partly supported
Crouch: FBI's NCIC database receives around 8M daily law enforcement queries
“And that thing is actually hit by law enforcement officers around eight million times a day, just searching for people and places and things.”
Scott Crouch Apr 20, 2015 ▶ 7:42
Assertion Not publicly verifiable
Washington D.C. estimates 20% to 40% of police records are duplicates
“With Washington, D.C., we, ah, see about five million people records in that data set. And of those five million, they estimate between 20 and 40% are duplicates.”
EJ Bensing Apr 20, 2015 ▶ 8:55
Assertion Not checkable as stated
Bensing: Police departments average 10 to 15 separate record systems
“Each department we go into, we see, you know, 10 to 15 different systems that can each have their own record of a person.”
EJ Bensing Apr 20, 2015 ▶ 9:57
Assertion Contradicted
Mark43 cannot legally auto-merge police records due to audit trail requirements
“Legally we as Mark 43 cannot merge those records ourselves. We have to allow a law enforcement official to do that because each piece of data entered into the system must have an audit trail that can track back to them so that this can go to court.”
EJ Bensing Apr 20, 2015 ▶ 10:13
Assertion Supported
Bensing: 87% of Americans are identifiable by birth date, gender, location
“87% of Americans can be uniquely identified with date of birth, gender, and location.”
EJ Bensing Apr 20, 2015 ▶ 10:51
Prediction Partly held up
Crouch: Mark43 will launch across Washington, D.C. in summer 2015
“Really the first major group to grow on this system is all of Washington, D.C. This summer, and so that's not only the D.C. Metropolitan Police Department with 4000 officers, but an additional 11,000 agents across Secret Service, Park Police, Capitol Police, a…”
Scott Crouch Apr 20, 2015 ▶ 26:52
Assertion Contradicted
Crouch: D.C. is largest city with female-led police department
“D.C. Is the largest city in the world whose police department is run by a woman”
Scott Crouch Apr 20, 2015 ▶ 27:01
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