Special Session on CROwd-Powered e-Services (CROPS)
Short Description and Goals
Crowdsourcing is a model in which individuals or organizations obtain goods and services from a large, open and rapidly-evolving group of Internet users. The idea of dividing work between participants to achieve a cumulative result has been applied successfully in many areas, from biology and linguistics to engineering and cultural heritage. As a particular branch of crowdsourcing, crowd computing(aka “human computation”) systematizes the intertwining of human intelligence with artificial intelligence, aiming to solve tasks that are hard for individuals or computers to do alone. The key principles include (i) automation: machines do non-creative and repetitive work, providing a cascade of knowledge for humans to evaluate; (ii) micro-tasking: work is broken into small tasks that are easier to complete by humans chosen specifically on the grounds of their expertise; and (iii) mixed crowd: a greater volume of work, and of greater value, can be completed when specialists and open communities work together.
The CROPS Special Session seeks to become a forum to discuss broad, interdisciplinary research about human-in-the-loop intelligent e-services, human-AI interaction, and techniques for augmenting the abilities of individuals and communities to perform whichever tasks. We thereby solicit papers presenting theoretical contributions or practical uses of crowdsourcing and crowd computing models in any domains of application.
Special Session Topics:
Crowdsourcing/crowd computing case studies:
- digital humanities,
- software engineering,
- urban data collection,
Crowdsourcing/crowd computing theory and techniques:
- algorithm design,
- collective knowledge,
- human-AI interaction,
- incentives to collaboration,
- intellectual property,
- macro- and micro-tasking,
- mixed crowd,
- psychological and emotional aspects of crowd involvement,
- quality control,
- task assignment,
Uses of crowdsourcing/crowd computing:
- knowledge bases,
- fact verification,
- information retrieval,
- machine learning,
Authors should submit original, unpublished research papers. All papers must not simultaneously be submitted to another journal or conference. There are two types of submissions:
- Full Paper submissions have a maximum of 12 pages.
- Short Paper submissions have a maximum of 6 pages.
Papers and abstracts should be submitted through the main SMAP 2020 submission website in PDF format. Authors should follow the SMAP 2020 formatting as indicated here: http://smap2020.eu/index.php/submissions/
By submitting a paper, authors implicitly agree that at least one of them will register to the SMAP 2020 workshop and present the paper. It is expected that at least one author will register for each accepted paper. Only papers that have been presented by their authors during the SMAP 2020 workshop will be published in the workshop’s proceedings.
Extended versions of accepted papers will be considered for publication in the following Special Issue of the Sustainability journal:
Special Session Organizers:
- Martín López-Nores, University of Vigo, Spain – firstname.lastname@example.org
- Ioanna Lykourentzou, Utrecht University, Netherlands – email@example.com
- Angeliki Antoniou, University of Peloponnese, Greece – firstname.lastname@example.org