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SafeWalk is an app that calculates the safest walking routes in NYC between two points by considering major crimes data and one's personal fear of crime. It uses k-nearest neighbors and Dijkstra's algorithm on OSM road and crimes datasets to associate crimes with roads and find shortest paths minimizing crime costs. Route comparisons demonstrate how routes can vary significantly based on time of day and individual fear levels. The app aims to balance route length with safety based on customizable personal parameters.

Data & Analytics

SafeWalk
Find the “safest” route between any two points in
NYC
Nishan Mann

Problem Statement
● Is the shortest route always the “safest” route?
● Given major crimes data, compute optimal
walking route between two points in ANY of the
NYC boroughs.
OSM Data
for NYC
(~650,000 roads)
Major Crimes
Dataset
2005-2016
(~1,000,000)

Algorithms
● K-nearest neighours classification to associate
each crime with a road. Build directed graph
● Dijkstra Algorithm: between two nodes (red and
green) find the shortest path minimizing the
sum of weigths Robbery at
(40.1345, -76.314341)
w1
w4
w5
w2
w9
w3 w6
w8
w10
w12
w7
w11

KISS Model for Crime Cost
elongated
road length
original road
length
Personal fear of crime Crime Costs depending
on hour and type of
crime

App Landing Page
● Personal Fear of Crime: Rational, Almost rational, Borderline irrational, Irrational,
Paranoid

Brooklyn Routing at 0100
● Crime Avoidance Level : Neutral, Personal Fear of Crime: Rational

Visual Route Comparison
Courtesy of Trulia https://www.trulia.com/local/new-
york-ny/tiles:1|points:0_crime

Port Morris Route 0200 Neutral
Rational Fear

Insights
● NYC is pretty safe at any time of time of day
(Nice! but not for me).
● One’s perceived ‘fear’ of crime can lead to
significant route modificationss
● There exists a trade-off between route length
and safety

Demos!
● Brooklyn neutral Show time of day
● Port Harris Neutral vs Paranoid Show personal
fear of crime parameter
●

About Me
● What I do besides solving (numerically) partial
differential equations.
●

KDE
● Cool figure of crime density goes here
●
● : number of crimes (type i) on road/total
number of crimes (type i) in precinct
● :
● : total number of crimes on road/total number
of crimes in precinct

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Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits. To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups. Technology For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did. While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis. Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad. Age and Gender When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same. Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers. Race Affects Attitudes As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).

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The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands. It’s important that you’re ready to implement new strategies in 2024. Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024. You’ll learn: - The latest trends in AI and automation, and what this means for an evolving paid search ecosystem. - New developments in privacy and data regulation. - Emerging ad formats that are expected to make an impact next year. Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape. If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.

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From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world. With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively. The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage. Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience. See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers See the original article on Forbes here: http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b

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Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world. Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance. For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age. Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.

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1. SafeWalk Find the “safest” route between any two points in NYC Nishan Mann

2. Problem Statement ● Is the shortest route always the “safest” route? ● Given major crimes data, compute optimal walking route between two points in ANY of the NYC boroughs. OSM Data for NYC (~650,000 roads) Major Crimes Dataset 2005-2016 (~1,000,000)

3. Algorithms ● K-nearest neighours classification to associate each crime with a road. Build directed graph ● Dijkstra Algorithm: between two nodes (red and green) find the shortest path minimizing the sum of weigths Robbery at (40.1345, -76.314341) w1 w4 w5 w2 w9 w3 w6 w8 w10 w12 w7 w11

4. KISS Model for Crime Cost elongated road length original road length Personal fear of crime Crime Costs depending on hour and type of crime

5. App Landing Page ● Personal Fear of Crime: Rational, Almost rational, Borderline irrational, Irrational, Paranoid

6. Brooklyn Routing at 0100 ● Crime Avoidance Level : Neutral, Personal Fear of Crime: Rational

7. Visual Route Comparison Courtesy of Trulia https://www.trulia.com/local/new- york-ny/tiles:1|points:0_crime

8. Port Morris Route 0200 Neutral Rational Fear

10. Insights ● NYC is pretty safe at any time of time of day (Nice! but not for me). ● One’s perceived ‘fear’ of crime can lead to significant route modificationss ● There exists a trade-off between route length and safety

11. About Me ● Data nerd

12. Demos! ● Brooklyn neutral Show time of day ● Port Harris Neutral vs Paranoid Show personal fear of crime parameter ●

13. About Me ● What I do besides solving (numerically) partial differential equations. ●

14. KDE ● Cool figure of crime density goes here ● ● : number of crimes (type i) on road/total number of crimes (type i) in precinct ● : ● : total number of crimes on road/total number of crimes in precinct

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