Crowdsourcing is a model in which individuals or organisations 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") systematises 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;
(iii) mixed crowd: a greater volume of work, and of greater value, can be completed when specialists and open communities work together.

The CROPS workshop 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.

**** Topics of interest ****
-> Crowdsourcing/crowd computing case studies:
---- digital humanities,
---- economy,
---- education,
---- health,
---- journalism,
---- software engineering,
---- tourism,
---- 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:
---- games,
---- knowledge bases,
---- fact verification,
---- information retrieval,
---- machine learning,
---- optimisation,
---- …

**** Proceedings and submission guidelines ****
Proceedings are planned to be published as a book by Springer-Verlag in Lecture Notes in Computer Science (LNCS) series. Submissions must be made via EasyChair (https://easychair.org/conferences/?conf=crops2019) and follow the LNCS formatting guidelines. They should have from 6 to 12 pages, including figures, tables and appendices.

**** Organizers ****
-- Martín López-Nores, University of Vigo, Spain – mlnores@det.uvigo.es
-- Ioanna Lykourentzou, Utrecht University, Netherlands – ioanna@lykourentzou.com
-- Angeliki Antoniou, University of Peloponnese, Greece – angelant@uop.gr

**** Technical program committee (to be extended) ****
-- Ioannis Anagnostopoulos, University of Thessaly, Greece
-- Antonis Bikakis, University College London, United Kingdom
-- Sylvain Castagnos, University of Lorraine, France
-- Ahmed Dahroug, Arab Academy for Science and Technology, Egypt
-- Lidia Gryszkiewicz, The Impact Lab, Luxembourg
-- Vassilis-Javed Khan, Eindhoven University of Technology, Netherlands
-- Sébastien Laborie, University of Pau / IUT de Bayonne - Pays Basque, France
-- Yannick Naudet, Luxembourg Institute of Science and Technology, Luxembourg
-- José Juan Pazos-Arias, University of Vigo, Spain
-- Vladimir E. Robles-Bykbaev, Universidad Politécnica Salesiana, Ecuador
-- Tuukka Toivonen, University College London, United Kingdom
-- Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus
-- Manolis Wallace, University of Peloponnese, Greece