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Ethics Training for Data Scientist

  • Creator
  • #134299

    Oya Beyan

    The meeting will focus on discussing foundational elements of the ethics training for data scientist and managers. The session will be organized as a collaborative working group session. The session will be structured around the specific questions, derived from the preliminary work of the task force. Materials will be shared beforehand. 
    Outline of the session:

    Presentations of data ethics curriculum development task force: aim and roadmap

    Lightning talks  : 

    training researchers on handling sensitive data by Turkka Näppilä,

    ethical application processes  

    Collaborative working towards the identification of 

    target audience 

    core skills and attitudes relevant to data ethics 

    ways to teach these core skills as part of a reference curriculum 

    relevant courses, programs and experiences

    Cross collaboration with RDA groups

    Education and Training on handling of research data IG

    CODATA/RDA Research Data Science Schools for Low and Middle-Income Countries

    Next steps and road map

    Additional links to informative material
    Ethics Curriculum Development Task Force
    Case Statement

    Avoid conflict with the following group (1)
    FAIR Data Maturity Model WG

    Avoid conflict with the following group (3)
    Education and Training on Handling of Research Data IG

    Group chair serving as contact person
    Oya Beyan

    Meeting objectives
    During the RDA 13th plenary, the  ESAD group initiated a discussion on the Ethics in Data Science and Analytics.  Following the keynote by Julia Stoyanovich underlying the challenges of fairness, accountability, and transparency in data science, the group has explored the ethical challenges around IoT, data science, and data analytics in their session. As a conclusion, we have identified a need to develop a reference curriculum for data ethics to support data scientist. A task force of “Ethics Curriculum development” has been established and started working. The task force aims to produce an output which can be adopted in data science programs and training activities in data-centric fields. 
    In this plenary session, we plan to present the current state of the work, get feedback from the community, and focus on specific aspects of the curriculum for specific use cases/ target groups.

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