Ioanna Lykourentzou

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  • Research
  • Projects
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  • Teaching
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Online Crowds

Task Assignment Optimization

​How can we optimally match people to tasks?
​To ensure quality, cost efficiency and timeliness in the production of expert tasks (as in knowledge-intensive crowdsourcing or innovation organisations) while accounting for the needs, motivation and talents of the expert workers, I develop task-to-user matching mechanisms that combine resource scheduling, traditionally found in operational research, with non-deterministic behavioral modelling.
Task assignment optimization in knowledge-intensive crowdsourcing
VLDB journal
​​Get PDF   View in Springer

More on this topic:
​It's about time: Online Macrotask Sequencing in Expert Crowdsourcing
arXiv:1601.04038
​Get PDF   View in arXiv
Watch video
Tacit knowledge harnessing in corporate environments through collective intelligence, machine learning and resource allocation techniques
Xerox Europe - Invited talk  
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Virtual Teams

​How to form successful teams across time and space boundaries?
​Remote collaboration can be hampered by ineffective communication and interpersonal conflicts. To address this, I work on algorithms that harness key behavioral and social characteristics of the candidate teammates  (like personality or group dynamics) and use them to bring together more harmonious and performant virtual teams.
Team Dating Leads to Better Online Ad Hoc Collaborations
CSCW 2017
Get PDF   View in ACM
​Personality Matters: Balancing for Personality Types Leads to Better Outcomes for Crowd Teams
CSCW 2016
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​Get PDF   View in ACM

Open Innovation

What are the principles underlying radical innovation by many?
Innovation Labs: 10 Defining Features
Journal of Innovation Management 

Get PDF   View in JIM page

Expert identification & Performance prediction

Which user knows what in online communities? ​How can we predict future user performance? ​
​I use machine learning to analyse the past performance of people in online communities (wikis, e-learning) and predict their future knowledge contribution quality and overall performance.
CorpWiki: A self-regulating wiki to promote corporate collective intelligence through expert peer matching
Information Sciences 
​​Get PDF   View in Elsevier
Dropout prediction in e-learning courses through the combination of machine learning techniques
​Computers & Education
Get PDF   View in Elsevier

Online knowledge communities

What makes a wiki knowledge community successful? How can organisations successfully integrate wikis into their day-to-day processes?
​​Planning for a successful corporate wiki​
DEIS'11

Get PDF   View in Springer

More on this topic:
Wikis in enterprise settings: A survey​
Enterprise Information Systems
​Get PDF   View in Taylor & Francis

Cyber-physical Crowds

Urban discovery 

How can technology help citizens reflect on and re-interpret their urban environment?
Co-Designing a Location-based Digital Game by Paper Prototyping using a Board Game
ACM CHI 2017 - Case Studies
​Get PDF   View in ACM

Path routing personalization

Which Points of Interest should we recommend to museum or city visitors to improve their Quality of Experience?
​Improving museum visitors’ Quality of Experience through intelligent recommendations: A visiting style-based approach​
IE' 13 - Workshops
​Get PDF   View in IOS Press

Related Software: ​Museum crowd simulator
Created with the team at CRP Henri Tudor, Copyright: LIST
​View in Experimedia BLUE website 
i.lykourentzou@uu. nl