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

Official evaluation of the lecture based on student feedback 2019/20
Official evaluation of the lecture based on student feedback 2018/19

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