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Jake Porway

Founder & Executive Director, DataKind · 1 appearance on the record.

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Jake Porway is the founder and executive director of DataKind. He focuses on applying big data to solve world-changing problems.

14statements → 7claims → 5claims resolved → 20%fully supported → 4.14/5average certainty → 1.57/5average debate potential → 1said about them ↓

1 supported 3 partly supported 1 contradicted 2 not checkable as stated how the 7 claims stand · each chip opens the sources

1 prediction · 6 assertions · 5 insights · 2 disclosures · every statement was checked. The prediction and assertions are the 7 claims: statements the public record can support or contradict. 5 are resolved, and 2 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Jake argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
DataKind has completed over 60 projects with 7,000 global volunteers.
“We've done over 60. We've got over 7000 volunteers around the world. Recently we expanded to six international chapters.”
Jake Porway May 28, 2015 ▶ 10:41 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)

Their most notable contradicted claim

Assertion Contradicted
DonorsChoose uses its classroom resource data to actively lobby US lawmakers.
“DonorsChoose is now taking these findings, and they're actually becoming an advocacy group. So they are lobbying lawmakers and decision makers to say, hey, did you know this is going on in your school systems? We have this data that once we analyze, we're able…”
Jake Porway May 28, 2015 ▶ 7:08 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
50% certainty 3
33% certainty 4
100% certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: speaking style how? →

292 words/min while actually speaking · 9.5 um and uh per 1k words

No argument clarity score for Jake Porway: only 1 usable question→answer exchange on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 5,677 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Jake Porway said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Insight
Jake Porway: Open data initiatives fail by being supply-driven, not demand-driven.
“You know, one of my sort of pet peeves is that open data right now is incredibly supply-driven. You know, there's this idea, like, we've got data, let's make it open, and the technologists will figure it out.”
Jake Porway May 28, 2015 ▶ 22:10 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Insight
Jake Porway: Social sector data science depends more on politics than technology.
“Applying our trade to social sector issues, which often has less to do with data and technology and more with politics and people”
Jake Porway May 28, 2015 ▶ 0:37 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Insight
Jake Porway: Placing data scientists in non-profits fails without structural support.
“Data scientists are expensive, and even if you just plopped a data scientist in with a lot of these non-profits, they wouldn't know what to do with one.”
Jake Porway May 28, 2015 ▶ 3:45 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Assertion Contradicted
DonorsChoose uses its classroom resource data to actively lobby US lawmakers.
“DonorsChoose is now taking these findings, and they're actually becoming an advocacy group. So they are lobbying lawmakers and decision makers to say, hey, did you know this is going on in your school systems? We have this data that once we analyze, we're able…”
Jake Porway May 28, 2015 ▶ 7:08 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Assertion Partly supported
Five percent of Crisis Text Line users consume 40% of counselor resources.
“So it's something like five percent of the people that call into these crisis lines take 40% of the resources.”
Jake Porway May 28, 2015 ▶ 8:16 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Insight
Jake Porway: Most social sector groups need basic exploratory data analysis.
“Most of these groups really just need basic exploratory analysis, data that's never been mined that could be really effective.”
Jake Porway May 28, 2015 ▶ 11:35 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Insight
Accessible computing enables independent social impact projects outside of traditional institutions.
“We don't have to make change just from work. We have the computing power and the data that's out there to build things like this just sitting at home in our underpants.”
Jake Porway May 28, 2015 ▶ 15:43 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Prediction Not checkable as stated
Jake Porway: Unintended algorithmic biases will dictate how humans actually work.
“These unintended cultural and social biases are making their way into tools that are going to shape the way people work.”
Jake Porway May 28, 2015 ▶ 17:41 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Disclosure
Jake Porway founded DataKind to match volunteer data scientists with non-profits.
“So that's why we founded Datakind. It's a non-profit that would team up pro bono data scientists. People who wanted to volunteer their time anytime from a weekend to a six-month project, all the way to working on a full-time, full-day job project to use data i…”
Jake Porway May 28, 2015 ▶ 4:00 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Assertion Not checkable as stated
DonorsChoose holds the largest US database of public school resource requests.
“What DonorChoose realized is they're actually sitting on the largest database of school requests around public schools in the US. No one's ever looked at that data before. No one else has it.”
Jake Porway May 28, 2015 ▶ 4:55 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Assertion Partly supported
DataKind volunteers mapped poverty across Kenya and Uganda in two hours.
“So a team from IBM and Mozilla basically built a classification algorithm that would find the different roof types. Interesting regression model we could talk about later. But what it allowed them to do is basically build this map of roofiness be a proper stat…”
Jake Porway May 28, 2015 ▶ 10:00 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Assertion Supported
DataKind has completed over 60 projects with 7,000 global volunteers.
“We've done over 60. We've got over 7000 volunteers around the world. Recently we expanded to six international chapters.”
Jake Porway May 28, 2015 ▶ 10:41 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Assertion Partly supported
Swimming pool detection algorithms were adapted to identify stagnant water for malaria.
“The one that actually this ultimately ended up getting used for was outside of the US for actually doing malaria prevention. So it turns out that stagnant pools are a huge issue for malaria. And so people use a similar algorithm to find these pools and drain t…”
Jake Porway May 28, 2015 ▶ 16:19 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
Disclosure
DataKind built a logistic regression model for Amnesty International human rights tracking.
“We face this problem building a project with Amnesty International predicting human rights violations. Built a great logistic model that would help us understand, based on the severity of a report of a human rights violation, which ones Amnesty International g…”
Jake Porway May 28, 2015 ▶ 17:48 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)

The other half of the tape: Jake Porway's own voice is left out of every number here. Other people bring the name up 1 time in 1 episode on the MAD Podcast. every mention, with the transcript →

Who brings them up most Drew Conway 1

Every mention by year

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0112013episodes it came up in
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2013 1 mention in 1 episode

Appearances (1)

EpisodeDateSpeaking time
Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC) May 28, 2015 21m
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