Topic outline

  • Seminar on Data Ecosystems

    Data has huge potential, but unlocking the true value of data has many challenges. Global data play is dominated by a few isolated platform players that claim ownership of key data assets. It is difficult for businesses and governmental bodies to understand the characteristics and potential of data. Related regulations, such as privacy legislation GDPR and forthcoming EU Data Act, may complicate the use of data further, but also open up possibilities for those who aim to redefine the rules to enable a more fair and trust-based data ecosystems.

    The seminar is aimed at students who want to understand better the opportunities and challenges related to using and sharing data internally at businesses and within a data ecosystem. The data ecosystem topic will be approached from multiple angles, including e.g. governance, trust and privacy, business, technology, and legal aspects.

    The course will be conducted as a combination of guest lectures and a student project on selected topics. The class instructors will include Aalto University researchers and affiliates with various academic backgrounds, as well as guest lecturers who are domain experts from the industry. The already confirmed guest speakers are from Sitra, OP, Helen, S Group, Salesforce, VTT, Taival Advisory, Solita, Maki.VC, adesso, Fintraffic, 1001 Lakes and MyData Global.

    In the project, the students apply what they have learned from topics covered and propose a solution to a problem or a way to move the ball forward in this field. This may take many forms (case study, project proposal, technical recommendation, code, etc.) as long as the idea is adequately explained and/or demonstrated. In addition to final project presentation, students will create a poster that summarize the results of their project.

     

    Practicalities:

    Course is a combination of lectures and group work on given themes. 

    Course lectures are held between 24.10. - 1.12.2022 on Mondays 14:15-16:00 and Thursdays 16:15-18:00 in the Computer Science building, T4.

    The lectures will be help on-campus and physical student presence is expected. 

    Typical sessions will have two 30-35 min presentations, and 10-15 minute discussion/topic. Active student participation is expected.

    Final session is a half-day event to present and discuss group work. The exact time for the session will be defined later.


    Course sessions:

    Ma 24.10.2022 klo 14:15 - 16:00, R030/T4 A140

    To 27.10.2022 klo 16:15 - 18:00, R030/T4 A140

    Ma 31.10.2022 klo 14:15 - 16:00, R030/T4 A140

    To 03.11.2022 klo 16:15 - 18:00, R030/T4 A140

    Ma 07.11.2022 klo 14:15 - 16:00, R030/T4 A140

    To 10.11.2022 klo 16:15 - 18:00, R030/T4 A140

    Ma 14.11.2022 klo 14:15 - 16:00, R030/T4 A140

    To 17.11.2022 klo 16:15 - 18:00, R030/T4 A140

    Ma 21.11.2022 klo 14:15 - 16:00, R030/T4 A140

    To 24.11.2022 klo 16:15 - 18:00, R030/T4 A140

    Ma 28.11.2022 klo 14:15 - 16:00, R030/T4 A140


    To 01.12.2022 klo 14:15 - 18:00, R037/1023-1024 AS4 (NOTE: Location updated!)

    14:15-14:45

    • Joel Hämäläinen
    • Data spaces and EU

    14:45-15:15

    • Miili Haikka
    • IDSA/Gaia-X -analysis of state of the art

    15:15-15.45

    • Alex Granlund, Viktor Granlund
    • Data ecosystem analysis - comparison of ecosystems

    Coffee break

    16:00-16:30

    • Linus Sundström
    • Data Ecosystem Analysis in European Spatial Data Sharing 

    16:30-17:00

    • Joao Jorge
    • Commodification of values

    17:00-17.30

    • Mhadhbi Ameni
    • MyData / personal data implementations

    17.30-18.00

    • Samuli Oikarinen
    • Business and security risks in data ecosystems

    Wrap-up


    Course instructors:

    Marko Turpeinen and Sami Jokela 

    email: firstname.lastname@aalto.fi

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      Teemu Mattelmäki - Pre-reading URL
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      Pre-reading for the lecture on 27.10.2022

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      Course introduction File
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      Seminar practicalities and introduction to data ecosystems

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      Final project - Guidelines and topics File
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      Final project guidelines, and initial topic descriptions:

      ●(BELTS) Rulebooks - comparative study in different domains. Contact: Olli Pitkänen / 1001 Lakes
      ●(B): Data ecosystem analysis in domain/company x. Contact: Viivi Lähteenoja / 1001 Lakes (RESERVED - Data Ecosystem Analysis in European Spatial Data Sharing, business model comparison)
      ●(B): Data marketplaces / marketplace x analysis. Contact: Teemu Mattelmäki / Solita
      ●(E): Commodification of values (e.g., privacy). Contact: Viivi Lähteenoja / 1001 Lakes (RESERVED)
      ●(L): Data spaces and EU. Contact: Olli Pitkänen / 1001 Lakes (RESERVED)
      ●(T): IDSA/Gaia-X -analysis of state of the art. Contact: Olli Pitkänen / 1001 Lakes (RESERVED)
      ●(S): Business and security risks in data ecosystems. Contact: Olli Pitkänen  / 1001 Lakes (RESERVED)
      ●MyData / personal data implementations. Contact: Viivi Lähteenoja  / 1001 Lakes (RESERVED)
      ●Role of open digi / identity wallets in evolving data ecosystems. Contact: Kai Kuikkaniemi / Aalto and SOK
      ●Management of product CO2 footprint in data ecosystems. Contact: Kai Kuikkaniemi / Aalto and SOK
      ●Comparison of company internal data governance against shared governance in data ecosystems. Contact: Kai Kuikkaniemi / Aalto and SOK



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      Final Project discussion 2022-11-14 File
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