Season 2, Episode 9: Data Science & Suicide Prevention

We're doing something a little different this week. Instead of covering the week's data news, we're looking at how data science is helping with the very serious problem of suicide prevention. Huge thanks to Glen Coppersmith, CEO of Qntfy, for helping us dig into this topic.

The episode link is at the bottom of the post, but, due to the subject matter, we'd like to make sure we call out some important information.

If you or someone you know is in crisis or just needs to talk to someone who understands and wants to help , call The National Suicide Prevention Lifeline at 1-800-273-TALK (8255), text the Crisis Text Line (text START to 741-741).

If you want to donate your social media data to power innovations in suicide prevention, please visit OurDataHelps.org. Your donation, regardless of your experience with mental health or suicide is appreciated. Sarah Shuster does a wonderful job of explaining how your donation helps here.

Glen Coppersmith (@GlenCoppersmith on Twitter) is founder and CEO of Qntfy (pronounced “Quantify”; @Qntfy), a small company dedicated to empowering mental health and scaling therapeutic impact. Qntfy is a team of data scientists, suicide prevention experts, software developers, and psychologists finding ways that technology can create nothing short of revolution in mental health. You can read more about the company on their website and learn about their research. Get in touch with them at: info@qntfy.com.

Suicide is a large and looming challenge, as highlighted by the recent CDC report. Data to support suicide research has been hard to come by, partially due to the societal stigma around suicide and mental health, and  the fact that the necessary labels were derived primarily from medical records, as well as a  lack of quantified real-time measurements of mental health. 

There are some interesting data sets in this space recently becoming available. If you’re at a university or non-profit, you can apply for access to the Crisis Text Line data. The Department of Veterans Affairs, has also recently packaged and released a few new datasets. The US Centers for Disease Control has a series of datasets that are relevant to suicide deaths in the US. 

Most of the statistics discussed during the podcast were taken from Nock et. al 2008. More people die from suicide than from homicide and war combined, the second leading cause of death for teenagers worldwide, and the leading cause of death for women ages 15-19 worldwide. 
While this is a large problem facing the world, there is reason for hope. The majority of people who attempt suicide do so only once, and go on to lead fulfilling lives. Dese’Rae Stage has chronicled stories and portraits of suicide attempt survivors in her award winning project Live Through This.

You may have noticed that when discussing suicide, we used the phrase “died by suicide” instead of the colloquial “commit suicide.” This is more in line with treating suicide like other medical conditions -- one doesn’t “commit cancer” or “commit diabetes.” Such subtle changes are a part of a popular attempt to show respect for the people who are challenged with these conditions and reduce the prejudice associated with suicide (see the Sapir-Whorf Hypothesis).

#SPSM is a tech-forward community within suicide prevention. They are distributed across the world, and communicate primarily through social media, and are always welcoming of new people. If you were interested in hearing about the latest research and strategies within suicide prevention, they would be my recommendation to you. I would go so far as to say they are the Partially Derivative of suicide prevention -- they are very knowledgeable of the subject, but make it approachable, even to those outside the traditional suicide prevention training. They are active on Twitter under #SPSM, have a Facebook page, and host weekly Hangouts-on-air with guests at 9pm Central time. Check them out

If you haven't had enough of Glen talking about suicide prevention, check out this talk about about using data and innovation around suicide and mental health.

Season 2, Episode 8: The Love Child of Princess Leia and Jabba the Hut

Spoiler alert! We stand with Ruth Toner, in solidarity against spoilers. Vidya discovers a robot that paints like Rembrandt -- is it an artist? What is art? What is meaning? We'll discuss. Plus, Chris has a Beautiful Mind moment and helps you avert the existential crisis that is waiting for trains to arrive

We're trying out something new! This week we're introducing tips on software engineering. Love it? Hate it? Let us know on Twitter @PartiallyD or by emailing hello@partiallyderivative.com. Huge thanks to Michael Kennedy, host of Talk Python to Me and founder of Talk Python Training, for sharing some Python programming knowledge this week. Here's a link with more details and code examples from Michael's segment.

Massive thanks to this week's sponsor, Cloud Factory! Go get 10% off your next project with Cloud Factory's API-powered distributed task platform just for data science!

Last but not least, we have a quick chat with Adam Smith from Kite, the new AI-powered pair programming app for Python. Thanks Adam for being on the show!

Season 2, Episode 7: Tay! Artificial Intelligence! Racism! The Future!

This week's episode is dedicated entirely to Tay, the Microsoft chat bot who started her 1-day life making adorable meme jokes, and ended it praising Hitler. Tay's demise is an ominous warning about a future dominated by amoral robot overlords, and also comedy gold!

Another huge Partially D round of applause for Cloud Factory, our sponsor! All of our listeners get a 10% discount on your first month. So go sign up now and get human help with your data projects (at scale)!

Last but not least, we'll be at the Austin Data Science Popup on April 13th. We have lots of free tickets to give away to listeners, so if you'll be in Austin and would like to go: email us at hello@partiallyderivative.com and we'll hook you up!

Season 2, Episode 6: Robot Sex and Flappy Bird Vengeance

This week we explore the future of artificial intelligence by discussing robot sex at length. Chris seems pretty into it, not that we're judging. Also Minecraft for AI experiments and humanity's epic triumph over the most obnoxious iPhone game ever created. 

Huge thanks to our sponsor, CloudFactory. All of our listeners get a 10% discount on your first month. So go sign up now and get human help with your data projects (at scale)!

In this week's outlier, Manuel Ebert of Summer.ai tells us how he uses spreadsheets to track his sex life. We recorded the story back in September at a live recording we did with Sean Taylor at Geekdom in San Francisco. Of course huge thanks to Geekdom for having us! We'll release the rest of that episode soon!

Season 2, Episode 5: The Double Entendre

Vidya hates wedding planning, Jonathon could've talked about the rise of our Go-playing robot overlords, algorithmically predicting police misconduct or the biggest polling upset in political history, but instead digs into the crossword scandal of the century (here's the GitHub repo). Chris was busy washing his hair or something, but he'll be back next week.

Huge thanks to our sponsor, CloudFactory. All of our listeners get a 10% discount on your first month. So go sign up now and get human help with your data projects (at scale)!

More cool data projects! Get involved with the Tennis Data Challenge from our friends at the Tennis Notebook. 

We also interviewed Jeff Stuffings, founder of Jester King brewery, about his novel process for slowly fermenting beer using local flora, tons of time, and lots of tasting.

And now, this week's episode! 

Season 2, Episode 4: Naughty Millennials, Star Wars and Zombies!

We learn that millennials are staying married longer, you can go really deep down the Star Wars rabbit hole, and all your so-called allergies were made up by your parents. Also we talk to epidemiologist Eric Lofgren about how humanity can survive the zombie apocalypse. 

Looking for a data project? The Harkive Project is looking for help making sense of the 8,000 responses to a simple question: how, where, and why are you listening to music today? Email hello@partiallyderivative.com if you'd like to be involved.

Lastly, we are giving away this amazing t-shirt immortalizing muppet deaths in a fantastic green bar chart to the first person who can get this podcast on the front page of Hacker News. When you succeed, email us a screenshot and this wondrous bounty is yours.

And now, without further delay, here's the latest episode!

Season 2, Episode 3: Chris Looks at Your Search History

We're back! The latest nerdy data news, some beer, and a look how open data is used to fight crime and corruption. Jonathon is drinking Austin Eastciders, Chris is drinking a Nitro IPA, and we're talking about corporate big brother sucking up your work data, plus Miguel Garrido's epic, data-driven quest to find a parking space in Murica, Spain. We also interview Eliot Higgins, founder of Bellingcat, about his team's amazing techniques for tracking global conflict that rival national intelligence agencies.


Season 2, Episode 2: Mind Control and Parasites

Data scientists are parasites, Snowpocalypse (or is it?), and an important public safety announcement from Chris about jogging and sterilization. Plus we talk to Dr. Sarah Laszlo about how she uses brainwaves like fingerprints to identify people based only on their thoughts. 

Our sponsor this week is CloudFactory, a task platform that uses a trained workforce to train machine learning models at scale. Check it out!

Season 2, Episode 1: Do it LIVE!

Sorry for the long hiatus! The three of us have been super busy with our startup, Popily, but before we took a break we recorded a live show! Chris and Jonathon went to hang out with the amazing data science team at StitchFix, and invited Eric Colson, the company's Chief Algorithms Officer, and Eli Bressart, Head of Data Labs to be guests on the show. They're doing amazing work using data science to help machines make better recommendations. Check it out!

Plus the audience plays a drinking game where Chris can't say "data," and Jonathon tells the story of how he used data science to score a free motorcycle that almost killed him. 

Episode 36: The Data of Space

Lost. In. Spaaaaaaace! Cosmology! Astrophysics! Astronauts! This week we talk with some amazing guests! 

  • Gurtina Besla, who studies dwarf galaxies and dark matter at the University of Arizona
  • Destry Saul, who used machine vision to find gas clouds just outside our galaxy during his PhD at Columbia
  • Andrzej Stewart, the Chief Engineering Officer on a year-long simulation of a mission to Mars
  • Kirk Borne, who spent 18 years at NASA, worked on the Hubble telescope, and taught data science and some astrophysics at George Mason University
  • Sudeep Das, whose work in astrophysics at Princeton and UC Berkley resulted in the first-ever detection of an elusive property of photons flung towards Earth during the first moments of the universe, over 13 billion years ago. 

Some important announcements! 

  • Jonathon will be presenting on social good data projects at an event hosted by Austin's KDD chapter. Check it out!
  • Chris and Jonathon will be hosting a live event at StitchFix on Thursday, September 24th in San Francisco! Come hang out! 
  • And then, just to get crazy, we're doing a second live event on Friday, September 25th at Geekdom SF! Hit us up on Twitter for more details on either event.

And now, the show!

Music credit goes to Lagomorpha, Show, Matti Paalanen and Joost Eagle. Go check them out! 

Episode 35: The Data of Journalism

Data journalism and interactive storytelling have fundamentally changed the way we understand and consume the news. This week we're talking to three leaders in the data journalism revolution, Martin Stabe, the head of interactive news at the Financial Times, Sisi Wei, a journalist and news apps developer at ProPublica, and Samarth Bhaskar, a data scientist focused on audience development at the New York Times.

Data jobs this week!

Episode 34: The Data of Sports

We're joined by sports analytics luminaries Sean Lahman, author of the Lahman Baseball Database, Trey Causey, creator of The Spread, a blog about the data science of sports, and Greg Matthews, author of openWAR, a technique for predicting the worth of baseball players. We dig into how huge amounts of data are fundamentally changing baseball, basketball and football.

Also, Jonathon has a ridiculous story about building a tweet bot that spits out business intelligence advice in the style of Eddie Murphy. Boom!

Credit for the music you hear in this week's episode goes to Michael Bell.

Episode 33: Data of the Impossible

The data of colliding atoms, baby universes and the foundation of our existence. We talk with internationally renowned researchers Dr. Kyle Cranmer, one of experimental particle physicists responsible for discovering the elusive Higgs Boson, and Dr. Lee Smolin, one of the theoretical physicists behind Loop quantum gravity, and author of The Trouble With Physics, and Time Reborn

This episode doesn't get too technical (we're not physicists after all), but it'll still blow your freakin' mind.

This week's episode is sponsored by Popily.

More 10-second job announcements this week! You'll hear from:

The music that plays while we're talking is by Gutterbox, T.A.G.E.O is playing under the job announcements, Kyle's interview is underscored by Matti Paalanen, and Lee's interview is underscored by a track by audio engineering studio PremiumMusic.

Thanks again to our fantastic guests!

Episode 32: The Data of Politics

We talk politics with the top data scientists in the Republican and Democratic parties. Plus job announcements, data conference discounts, and Jonathon's triumphant return to hosting duties!

This week's episode is sponsored by Popily. Learn how your company can explore its data, and about data science consulting services at Popily.com.

Huge thanks to our guests!

Job announcements!

Both Andrew and Azarias mentioned job opportunities in their respective parties during the interview. Check out jobs with the Democrats and jobs with the Republicans.

We also started 10-second job announcements this week. You'll hear from:

Intro/outro music in today's episode is by LukHash and the music during the job announcements is by T.A.G.E.O..

Episode 31: The Data Of Art

The crew explores the world of using data science to create art.

Episode 30: The Data of Love and Sex

Is there really data in love? Can we quantify sex? Find out this week! Also, we go behind the scenes at craft brewery Thirsty Planet. 

Huge thanks to our guests!

  • Seth Stephens-Davidowitz, and his NYT op-ed Searching for Sex
  • Nicholas Wolfinger, and his Goldilocks Theory of marriage
  • Tyrell Elliott of Thirsty Planet Brewery

Music Credits

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Episode 29: Ashley Is A Better Host Than Jonathon

This week the team and special guest host Ashley McNamara interviews Ben Wellington of IQuantNY and discusses the data science of shark attacks and Greece's troubles.

Links to the stories we discussed in this week's episode:

Shout outs!

Articles!

  1. See Where Most Shark Attacks Happen in the United States
  2. Could Data Science Have Saved Greece?

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Episode 28: PhDs Are The New BAs

This week the team talks with Rick Turoczy (@turoczy on Twitter) of the Portland startup scene, discuss the taxonomy of hipster coffee shop names, and how PhDs can get into data science.

Links to the stories we discussed in this week's episode:

Shout outs!

  1. Thanks to DataElixir, a weekly collection of the best data science news, resources, and inspirations from around the web.
  2. Thanks to Rick Turoczy for the interview!

Articles!

  1. The Taxonomy of Hipster Coffee Shop Names
  2. What PhDs do wrong (and right!) when applying for Data Science jobs

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Episode 27: Robots Are Racist

We interview the amazing Christina Warren! Check out her work on Mashable, and two great podcasts -- Overtired and Rocket. Also we're in Portland this week, and grabbing beer at the White Owl Social Club around 5:30 on Wednesday. Swing by if you're free! 

Last but not least, we'd love for you guys to be the first to use Popily, the new app we rolled out late last month. Email us at awesome@popily.com if you want to try it out with your own data. 

Links to the stories we discussed in this week's episode:

Shout outs!

  1. Thanks to Sam for the heads up about the European Beer Price Index
  2. Thanks to Yvonne Jansen and Pierre Dragicevic for letting us know about their research around data art!

Articles!

  1. Google's Machine-Learning Chat Bot is Wise and Insane
  2. Racist Photo Recognition

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Episode 26: The Big Reveal

This week we interview Hunter Walk, cofounder of Homebrew (check him out on Twitter), and Vidya joins us again to announce our brand-spanking new startup, Popily!

Links to the stories we discussed in this week's episode:

  1. A Wikipedia You Can Print!
  2. Brewing Multivariate Beer (via listener @CFHammill)

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