Tell these fucking colonels to get this fucking economist out of jail.
Panos Ipeirotis Blog
by Panos Ipeirotis
1y ago
Today is October 18th. It is 41 years since Greece voted for Andreas Papandreou with a 48% vote percentage to be elected as prime minister, fundamentally changing the course of history for Greece. Positively or negatively, this is still debated, but the change was real. On October 6th, Roy Radner passed away at the age of 95. He was a faculty member at our department and a famous microeconomist with a highly distinguished career. Many others have written about him and his accomplishments as an economist and academic, so I will not try to do the same. But Roy also played an important role in ma ..read more
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Crowdsourcing and information theory: The disconnect
Panos Ipeirotis Blog
by Panos Ipeirotis
1y ago
In crowdsourcing, redundancy is a common approach to ensure quality. One of the questions that arises in this setting is the question of equivalence. Let's assume that a worker has a known probability $q$ of giving a correct answer, when presented with a choice of $n$ possible answers. If I want to simulate one high-quality worker workers of quality $q$, how many workers of quality $q' < q$ do we need? Information Theory and the Noisy Channel Theorem Information theory, and the noisy channel theorem, can give an answer to the problem: Treat each worker as a noisy channel, and measure the ..read more
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"Geographic Footprint of an Agent" or one of my favorite data science interview questions
Panos Ipeirotis Blog
by Panos Ipeirotis
1y ago
 Last week we wrote in the Compass blog how we estimate the geographic footprint of an agent. At the very core, the technique is simple: Use the addresses of the houses that an agent has bought or sold in the past; get their longitude and latitude; and then apply a 2-dimensional kernel density estimation to find what are the areas where the agent is likely to be active. Doing the kernel density estimation is easy; the fundamentals of our approach are material that you can find in tutorials for applying a KDE. There are two interesting twists that make the approach more interesting ..read more
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Mechanical Turk, 97 cents per hour, and common reporting biases
Panos Ipeirotis Blog
by Panos Ipeirotis
1y ago
The New York Times has an article about Mechanical Turk in today's print edition: "I Found Work on an Amazon Website. I Made 97 Cents an Hour". (You will find a couple of quotes from yours truly). The content of the article follows the current zeitgeist: Tech companies exploiting gig workers.  While it is hard to argue that there are tasks on MTurk that are really bad, I think that the article paints an unfairly gloomy picture of the overall platform. Here are a few of the issues: Availability and survivorship bias. While the paper does describe accurately the cesspool of low-p ..read more
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An API for MTurk Demographics
Panos Ipeirotis Blog
by Panos Ipeirotis
1y ago
A few months back, I launched demographics.mturk-tracker.com, a tool that runs continuously surveys of the Mechanical Turk worker population and displays live statistics about gender, age, income, country of origin, etc. Of course, there are many other reports and analyses that can be presented using the data. In order to make easier for other people to use and analyze the data, we now offer a simple API for retrieving the raw survey data. Here is a quick example: We first call the API and get back the raw responses: In [1]: import requestsimport jsonimport pprintimport pandas as pdf ..read more
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Distribution of paper citations over time
Panos Ipeirotis Blog
by Panos Ipeirotis
1y ago
A few weeks ago we had a discussion about citations, and how we can compare the citation impact of papers that were published in different years. Obviously, older papers have an advantage as they have more time to accumulate citations. To compare papers, just for fun, we ended up opening the profile page of each paper in Google Scholar, and we analyzed the paper citations years by year to find the "winner." (They were both great papers, by great authors, fyi. It was more of a "Lebron vs. Jordan" discussion, as opposed to anything serious.) This process got me curious though. Can we tell how ..read more
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Postdoc Position for Quality Control in Crowdsourcing
Panos Ipeirotis Blog
by Panos Ipeirotis
1y ago
The Center for Data Science at NYU invites applications for a post-doctoral fellowship in statistical methodology relating to evaluating rater quality for a new research program in the application of crowdsourcing ratings of human speech production. Duties and Responsibilities: This is a two-year postdoctoral position in the affiliated with the NYU Center for Data Science. The successful candidate will join a dynamic group of researchers in several NYU Centers including PRIISM, MAGNET, the Stern School of Business, the NYU Medical School and the Department of Communicative Sciences and Disord ..read more
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Mechanical Turk, 97 cents per hour, and common reporting biases
Panos Ipeirotis Blog
by Panos Ipeirotis
1y ago
The New York Times has an article about Mechanical Turk in today's print edition: "I Found Work on an Amazon Website. I Made 97 Cents an Hour". (You will find a couple of quotes from yours truly). The content of the article follows the current zeitgeist: Tech companies exploiting gig workers.  While it is hard to argue that there are tasks on MTurk that are really bad, I think that the article paints an unfairly gloomy picture of the overall platform. Here are a few of the issues: Availability and survivorship bias. While the paper does describe accurately the cesspool of low-p ..read more
Visit website
"Geographic Footprint of an Agent" or one of my favorite data science interview questions
Panos Ipeirotis Blog
by Panos Ipeirotis
1y ago
 Last week we wrote in the Compass blog how we estimate the geographic footprint of an agent. At the very core, the technique is simple: Use the addresses of the houses that an agent has bought or sold in the past; get their longitude and latitude; and then apply a 2-dimensional kernel density estimation to find what are the areas where the agent is likely to be active. Doing the kernel density estimation is easy; the fundamentals of our approach are material that you can find in tutorials for applying a KDE. There are two interesting twists that make the approach more interesting ..read more
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How many Mechanical Turk workers are there?
Panos Ipeirotis Blog
by Panos Ipeirotis
1y ago
TL;DR: There are about 100K-200K unique workers on Amazon. On average, there are 2K-5K workers active on Amazon at any given time, which is equivalent to having 10K-25K full-time employees. On average, 50% of the worker population changes within 12-18 months. Workers exhibit widely different patterns of activity, with most workers being active only occasionally, and few workers being very active. Combining our results with the results from Hara et al, we see that MTurk has a yearly transaction volume of a few hundreds of millions of dollars. For more details read below, or take a loo ..read more
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