Tech2Empower.v2
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Big Mountain Data is a social impact startup focused on addressing intimate partner violence through data-driven solutions, emphasizing the importance of transparency to combat domestic violence. The initiative aims to analyze existing law enforcement datasets to identify dangerous offenders, predict potential violence, and promote community-led strategies for accountability. They have developed tools and conducted projects to enhance data analysis and collaboration between law enforcement and domestic violence advocates.
Tech2Empower.v2
- 1. BIG MOUNTAIN DATA Data-driven solutions to Intimate Partner Violence Texas Council on Family Violence Tech2Empower Workshop August 29, 2017
- 2. Who am I? ● Susan Scrupski, Entrepreneur ● 30-yr Career in Technology ● Have “lived experience” with domestic violence
- 3. What is Big Mountain Data? ● An early stage social impact startup, founded Fall 2014 in Austin, TX ! ● We focus on OFFENDERS and their CRIMES associated with domestic violence ● We take a STEM approach to addressing Violence Against Women ● We partner with leading edge technology companies that align with our vision and goals
- 4. Domestic Violence is An Invisible Crime... Until it Isn’t “Abusers have two things going for them: 1.) Anonymity and 2.) Lack of Accountability.” “Transparency is the antidote to a social epidemic that thrives on secrecy.”
- 5. The CDC reports that 1 out of 4 women have experienced severe physical violence from an intimate partner. That’s 40 MILLION women in the U.S. On the flipside of that equation, there are an equal number of OFFENDERS. Even if we consider one offender stands to abuse 1 - n number of women, the scale of the “problem” still runs into the millions. We have this data on offenders today. Further, we can experiment with new models to merge “unstructured” data with the structured data already in law enforcement databases. Domestic Violence captures a lot of DATA Today’s DV paradigm focuses nearly exclusively on victim safety vs. holding offenders accountable for their criminal acts of violence.
- 6. Domestic Violence is a Local Problem $$$$ solutions *Domestic violence happens EVERYWHERE in the U.S. Outside of major urban areas, the majority of police forces in the U.S. have fewer than 50 sworn officers. Our approach: A community-led niche “Long Tail” strategy. Town by town, neighborhood by neighborhood.*
- 7. What can the data tell us? ● Who the most dangerous repeat offenders are and their criminal history ● When repeat offenders are more likely to commit an act of violence. ● How at-risk a victim is to being re-victimized by her abuser. ● The probability of whether a first-time offender is a good candidate for behavioral change. ● Where domestic violence occurs (everywhere).
- 8. What data? Data that already exists in law enforcement systems. ● Calls for Service (Computer- Aided Dispatch, CAD) 911 calls ● Arrest Data (Record Management Systems) ● Incident Reports
- 9. But… the raw data is sometimes not helpful
- 11. What can we do? We can examine existing datasets and identify meaningful patterns in the data. We can recommend data-driven solutions that can be field- tested by law enforcement and county agencies.
- 13. Testing our Thesis Bayes Impact inaugural hackathon: November 15-16, 2014. Five teams tackled the High Point PD challenge. • Justice League - Location-aware app that can discover if offenders that need a preventative visitation is nearby • Hack DV Offenders - Predictive tool that can determine the likelihood that a person would engage in severe domestic violence • Will It Blend - Predictive analytics on who is likely to engage in domestic violence • To Arrest or Not to Arrest - Machine learning tool to predict when an arrest should be made • All About the Bayes - Identifies the addresses where domestic violence is most likely to happen
- 15. Projects First U.S. Data Dive
- 16. A response to the Obama Administration's President’s Task Force on 21st Century Policing 14 of 74 of the key issues identified had to do with data and transparency Orlando experimented with the first community “data dive” exploring domestic violence and sexual assault data. PDI Today: 129 Jurisdictions Orlando Data Dive
- 18. #WhyIStayed #WhyILeft An analysis of the social media phenomenon that erupted over the Ray Rice NFL scandal. We analyzed 225K rows of data to ask a simple question: WHY DID THEY? We published the results. Then, we open sourced the data.
- 19. Projects MSDA Board, UCF
- 20. UCF Capstone As a Board member to the Master of Science in Data Analytics program at University of Central Florida (UCF), we are designing a graduate-level capstone project. Machine Learning, Predictive Analytics, AI, Predictive Modeling, Game Theory Graduate Class: Spring 2018
- 21. Projects High Point Film
- 22. High Point 10-79 at #IACP2016
- 24. Get your List! With our partner, Superion, we launched IPVO Tracker. We identify and rank offenders using data you already have in your law enforcement systems. It’s the FIRST STEP to holding offenders accountable.
- 26. SKORE Card A cloud-based ubiquitous app that enables law enforcement to work seamlessly with Domestic Violence advocates to properly assess the real-time threat level of each offender. “This app could save an officer’s life.” – Mark Wynn, International expert on DV and policing
- 28. “The Answers are in the Data” susan@bigmountaindata.com www.bigmountaindata.com Facebook.com/bigmountaindata @bigMdata youtube.com/c/BigMountainData2015 Connect with us: