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Crowdsourcing and Human Computation - NETS 213 - University of Pennsylvania
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An engraving of the Mechanical Turk, the 18th century chess-playing automaton
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Crowdsourcing and human computation are emerging fields that sit squarely at the intersection of economics and computer science. They examine how people can be used to solve complex tasks that are currently beyond the capabilities of artificial intelligence algorithms. Online marketplaces like Mechanical Turk provide an infrastructure that allows micropayments to be given to people in return for completing human intelligence tasks. This opens up previously unthinkable possibilities like people being used as function calls in software. We will investigate how crowdsourcing can be used for computer science applications like machine learning, next-generation interfaces, and data mining. Beyond these computer science aspects, we will also delve into topics like the sharing economy, prediction markets, how businesses can capitalize on collective intelligence, and the fundamental principles that underlie democracy and other group decision-making processes.

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Course number : NETS 213 - students from all majors are welcome!

Instructor : Chris Callison-Burch

Teaching Assistants : Course Staff

Website : http://crowdsourcing-class.org/

Discussion Forum : Piazza

Time and place : Spring 2021, Tuesdays and Thursdays 3-4:30pm Eastern live via Zoom : The first day of class will be Thursday January 21, 2021. : The final day of class will be Thursday April 29, 2021.

Office Hours : To join the office hour queue, please go to OHQ.io. : Monday 10:30am-noon Eastern - Anna : Monday 6pm-8pm Eastern – Ashley : Tuesday 2pm-3pm Eastern - Bryan : Wednesday 9:30am-11:30am Eastern - Zach : Wednesday 1pm-3pm Eastern - Jason : Wednesday 3pm-4:30pm Eastern - CCB : Wednesday 7pm-9pm Eastern - Joe : Wednesday 9pm-10pm Eastern - Sarah : Thursday 8am-9:30am Eastern - Anka : Thursday 9:30am-10:30am Eastern - Zach : Thursday noon-2pm Eastern - Eddie : Thursday 6pm-9pm Eastern - David : Friday 10:30am-noon Eastern - Anna : Friday 2pm-3pm Eastern - Bryan : Friday 9pm-10pm Eastern - Sarah : Saturday 10:30am-12:30pm Eastern - Megha : Sunday 1pm-3pm Eastern - Ajay

Prerequisites : CIS 120 or prior programming experience.

Course Readings : Each lecture has an accompanying set of academic papers

Grading : This is a project-based course. Instead of exams, you will do a series of hands-on assignments and a final project.

  • Weekly assignments (50%)
  • Final project (45%)
  • Participation (5%)

Late day policy : Each student has ten free "late days". Homeworks can be submitted at most two days late. If you are out of late days, then you will not be able to submit your homework. One "day" is defined as anytime between 1 second and 24 hours after the homework deadline.

Regrade Policy : If you have a regrade request, please submit regrade requests to Gradescope not private posts on Piazza. If you submit the regrade request to Gradescope, it makes it easier and faster for us to re-grade your homework. If you need to attach files, you can provide public shared links to files on your Google Drive. Regrading will typically be available for a 2 week period following the release of an assignment's grade, so please don't wait until the end of the semester to submit a regrade request.

Course materials : Students should expect to spend around $50-$100 of their own money on MTurk or other crowdsourcing platforms. If this will cause you undue financial hardship, please let the instructor know.