Foundations of Human Computation and Crowdsourcing. Full lecture at the Leibniz University Hannover


	Introduction and Overview	Read literature and select 3 topics
	Collective Intelligence	Split in teams of ~7 students. Collect and analyze Tests data
	Human Computation Applications in Machine Learning and Databases	Analyze Tests data withrespect to collective intelligence
	Task Design and Quality Control – I	Become a Crowdworker / Citizen Scientist
	Task Design and Quality Control – II	Split in groups of 4 Students. Each group defines a task
	Basic Statistics and Experimental Design	Design your task, define the “Research Hypothesis”
	Motivation and Incentives	Define HITs and identify motivation and incentive factors for your task
	Engagement	Continue working on your task in groups
	Output Aggregation and Truth discovery I	Output Aggregation and Truth discovery II
	Ethics and Fairness	Continue working on your task in groups
	Implement the task	Implement the task
	Human Computation Applications in Information Retrieval	Finalize the task
	Carry out your task	Evaluate the task results
	Summary and Conclusions	Present the task results