Towards creating an ELSA Curriculum for Data Scientists 

  • When? Wednesday, 1 June 2022, 2-4 PM
  • Where? Online
  • Language: English

The explosion of data driven applications in recent years has put Ethical, Legal, and Societal Aspects (ELSA) of data science in the spotlight. One way to tackle these issues is by raising awareness via education.

This workshop is organized within the framework of the BMBF-funded project FAIR Data Spaces and aims to bring together stakeholders with ELSA and technical backgrounds, interested to identify the main concepts for the creation of an ELSA curriculum for Data Scientists. This will hopefully lead to the creation of a community which will continue to work towards this goal.

The workshop agenda comprises presentations, impulse talks, discussions and a Q&A session. Audience participation is highly encouraged.


Preliminary Agenda

    1. Welcome-Introduction (Daniela Mockler, NFDI)
    2. Data Scientists and ELSA: Describing the Landscape (Maria Christoforaki, UzK)
      A brief description of the status quo: ELSA as part of the Data Science curriculum in tertiary education; ELSA awareness demands in industry; determining the Data Scientist profile now and in the future. 
    3. Data Protection in FAIR-DS (Dara Hallinan, FIZ)
      In relation to the FAIR-DS project, data flows are foreseen between a scientific data infrastructure, and an industrial data infrastructure. Some of this data will relate to identifiable individuals, and will thus be personal data and be subject to specific legal protection under data protection law. In this regard, this presentation will consider the work being done concerning the applicability of data protection law to the data flows foreseen in FAIR-DS.
    4. What’s the Point of Ethics in Data Sharing? (Andreas Bruns, UKHD)
      The talk gives a very short introduction into some of the themes within the ethics of data sharing. What are (some of) the ethical questions surrounding data sharing and use? What is the relationship between ethics and other normative domains, such as law and institutionalized (ethical) codes? And what’s the point of ethical reflection where such more tangible (e.g., legal) rules already exist?
    5. Legal and Ethical Aspect of a Personalized Learning Dashboard (Mohammadreza Tavakoli, TIB)
      eDoer is a platform which provides AI-based personalized educational recommendations for users toward their learning goals. In eDoer, learners can 1. set their goals, 2. receive personalized recommendations (learning paths and resources) toward their goals, 3. request for mentoring, and 4. test their achieved knowledge. Moreover, eDoer offers a hybrid Human-AI based solution for authors and content curators to create and maintain up-to-date curricula in various contexts (e.g., knowledge area, location, language). In this presentation, we will discuss the legal and ethical aspects that we have faced to develop the eDoer platform. Furthermore, we will explain the other ethical and legal areas that need to be considered for the future versions.
    6. Towards an ELSA curriculum for Data Scientists: Setting the program and learning objectives (Maria Christoforaki, UzK)
      Review of the existing approaches and identification of the challenges with respect to the context of developing a curriculum for practitioners, such as variance in experience, education, and cultural background.
    7. Panel Discussion / Q&A


      * Mandatory/Pflichtangabe
      Förderhinweis BMBF
      Förderkennzeichen FAIRDS