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Welcome to CrAc - Cooperative Activities


What is CrAc?

CrAc aims for the development of of interdisciplinary concepts allowing for dynamic, profile-based assignments of cooperative tasks to volunteers. The main focus of CrAc is to adapt the and align the profiles of tasks and volunteers as well as the task assignments basing on a continuous assessment of the task fulfillment. These concepts will be developed as a prototype serves as a domain independent framework to gain a adequate, efficient and balanced task assignment for volunteers and fosters formerly passive volunteers to participate and fulfill tasks. 



  • In Austria, more than three million people are engaged in non-profit organizations

  • Non-profit organizations provide services, which lead to economic value by indirect profitability

  • Common mind-set and similar interests of actors are crucial for the fulfilment of the usually un-salaried, cooperative activities

  • Insufficient system support hampers an efficient, adequate and balanced task distribution

  • This situation decreases motivation for task fulfilment and quality of services



  • Following the "Design Research Approach" requirements are derived from CrAc project goals in cooperat-ion with all partners
  • An open-source software prototype allows efficient and adequate task distribution to motivate passive actors while unburdening others



  • The CrAc consortium combines interdisciplinary expertise from industry and science with practical knowledge of non-profit organizations



  • Project results are incrementally evaluated by presen-tation to and solicitation of feedback from the partners
  • Applicability and sustainability of results are ensured in cooperation with the demonstrators on basis of case studies
  • The CrAc outcome and scientific findings will be accessible via research publications and the CrAc WebSite



  1. Dynamic multi-granular profiles for representation of participants and tasks
    1. Knowledge-based methods for formalization of dynamic, multi-granular profiles
    2. Human intelligent tasks, information extraction and ontology learning for multi-granular structuring and creation of profiles
  2. Intelligent techniques for disposition for context-based selection of tasks and balanced task allocation
    1. Similarity measures and spatio-temporal calculi for the context-based task selection
    2. Primal-dual task assignment for the balanced task allocation
  3. Crowd-based mechanisms for assessment and evolution for task and profile disposition
    1. Shepherding and opinion mining as mechanisms for assessment
    2. Model-based, semantic derivation rules as mechanisms for evolution

(currently only available in german)


The team


You can found more information about the team on the partner site. 



CrAc is funded by the Austrian Research Promotion Agency (FFG), owned by the Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT) and the Austrian Federal Ministry of Science, Research and Economy.  
For more information, please visit the funding page.