The Crowd Computing research group investigates distributed forms of work, where the tasks are too challenging for computers alone. Given the recent advances in AI, it is now imperative to identify and harness the unique aspects of human cognition and develop ways for humans and algorithms to collaborate seamlessly across different domains.
Activities
Crowdsourcing and human computation; We investigate novel crowdsourcing and human computation processes as well as the fundamental human characteristics that affect digital labour: motivation, data quality, and social aspects of work.
Applied & Interactive Systems; We build and study solutions that harness the crowds across different application domains. Examples of such systems include crowd-powered decision support through modelling large-scale subjective data or creativity support through on-demand access to crowd cognition.
Open Citizen Science; We promote and empower people to participate in research as participants and consumers, with a heavy emphasis on life-long learning in the process.
People
Simo Hosio
Associate Professor
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Scholar
Denzil Ferreira
Senior Research Fellow (part-time)
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Scholar
Aku Visuri
Postdoctoral researcher
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Scholar
Sharadhi Suryanarayana
Project researcher
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LinkedIn | Scholar
Andy Alorwu
Doctoral researcher (part-time)
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Scholar
Saba Kheirinejad
Doctoral researcher
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Scholar
Kennedy Opoku Asare
Doctoral researcher (part-time)
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Scholar
Ville Paananen
Doctoral researcher
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Scholar
Mahmoud Badri
Doctoral researcher (part-time)
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LinkedIn
Nazanin Nakhaie
Research Assistant
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Dániel Szabó
Research Assistant
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LinkedIn | GitHub
Katri Säily
Research Assistant
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Past visitors and alumni:
- Joonas Moilanen
- Danial Khaledi
- Piushana Abeygunawardena
- Maha Eldamnhory
- Eetu Huusko
- Sina Kiarostami
- Elina Kuosmanen
- Jonas Oppenlaender
Funded Projects
AIM: Academy Research Fellow (Simo Hosio) + research costs: Crowdsourcing Clinically Relevant, Non-Biased Datasets for Medical Artificial Intelligence
CRITICAL: An Academy of Finland (Strategic Research Council) project on critical reading skills
GenZ: Generation Z and beyond: Co-evolution of human capabilities and intelligent technologies in the 21st century (GenZ)
ICON: Interventions and Contextual Understanding for Low Back Pain Research