Student internship in collaborative crowd technologies (M/F)
Crowd computing is a research field at the intersection of crowdsourcing, social behavior modeling and computational systems, and in parallel a rising multi-billion industry. From the mass volunteer participation in Wikipedia or OpenIDEO, to the numerous paid crowd workers of Amazon Mechanical Turk, crowd computing is harnessing the power of people to perform tasks that are difficult for individual users or computers to do alone, and is transforming the way that we produce knowledge services. One of the latest trends in crowd computing is the creation of crowd teams to work on knowledge-intensive tasks that require collaboration and cannot be addressed by independent individuals, such as product design, idea filtering, knowledge synthesis, and innovation production. Despite the potential of collaborative crowd technologies to constitute the “next frontier in crowd computing”, forming such teams is nothing but easy. Crowd workers are people with different personalities, needs, expertise, skills and availabilities, who have usually never worked together before. The goal of this project is to develop and experiment efficient computational methods to form ad-hoc, elastic crowd teams in a manner that accounts for the particularities and constraints of the involved human workers while guaranteeing a high-quality final result.
The specific objective of this internship is to design and experiment with one or multiple methods for efficient crowd team formation, including the development of the web tools that will support this experimentation.
The trainee will be responsible of:
- Getting acquainted with the state-of-the-art in crowd computing, online communities and virtual teams
- Co-designing a series of experiments on crowd team formation and team building optimization
- Developing web-based software that will support the aforementioned experiments
- Gathering and analyzing the experimental data, participating in the writing of publications
- Bachelor / master student in Computer Science or equivalent
- Good knowledge of a high-level programming language (like Java or Python)
- Good mathematical background and an understanding of statistical analysis
- Autonomous and team working, as well as good communication skills
- Understanding of the principles of crowd computing and expert crowdsourcing is an asset
- Full professional proficiency in English is mandatory
All interns receive a monthly compensation of €1000
This job comes from a partnership with Science Magazine and