Open Data Academy Challenge Award

The academic community plays a decisive role in the production of knowledge and innovation, which are driving forces behind the energy transition.

ODAC

The Open Data Academy Challenge aims to reward dissertations and master's projects that focus on the theme of energy transition and that use data from the Open Data Portal as a source for their research.

This initiative is aimed at master's students at universities and polytechnics from the north to the south of mainland Portugal.

With this project to disseminate Open Data to the scientific and technological system, E-REDES aims to encourage solutions that transform electricity grid data into value for society.

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  1. Applicant's Details
  2. School Data
  3. Uploading Files
  4. Commitment of Honor and Declaration of Consent
  5. Complete

Applicant's Details

Fields marked with * must be filled in.
Full Name Birth Date Type of ID Document No. of Identification Document No. of Identification Document Nationality Tax Identification Number Email Cell Phone Number Weight
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Frequently Asked Questions

  1. Yes. The presentation of a brief summary of the dissertation or project, with a maximum of 1,500 characters, is one of the mandatory elements to be submitted on the form, made available for this purpose on the E-REDES website, on the page dedicated to the Prize.

  2. The analysis and evaluation of the dissertations or projects will be carried out according to an evaluation matrix that will take into account:

    a. Relevance of data from the Open Data Portal to research - 30%.

    b. Contribution of the dissertation or project to the field of energy transition - 50%.

    c. Pitch (maximum 1 minute) - 20%.

  3. It is compulsory to use datasets from the Portal in your dissertation or project, or at least one, and the quality of the analysis based on this data will be valued (up to 30%). However, the use of data from other sources is also allowed as a complement and/or correlation.

  4. For more information, candidates can email premio.opendata@e-redes.pt.

  5. In addition to E-REDES, the organizations represented on the E-REDES Open Data Academy Challenge Jury are: RNAE - Associação das Agências de Energia e Ambiente; DGEG - Direção-Geral de Energia e Geologia; ISCTE – Instituto Universitário de Lisboa; Universidad de Oviedo

    The Jury will select the winning candidates on the basis of the shortlist received from the Technical Committee and by simple majority vote.

  6. Authors of dissertations or master's projects at national higher education institutions (universities and polytechnics) completed and classified in the years 2023 or 2024 are eligible to apply for the prize. Works completed and classified in years prior to 2023 will not be accepted.

  7. This edition of the E-REDES Open Data Academy Challenge will only consider work submitted by students enrolled in national universities and polytechnics, and which has been assessed and classified by Portuguese educational institutions.

  8. Yes. Authors of Master's dissertations or projects at national higher education institutions (universities and polytechnics) can apply for the prize, either individually or as a group.

    Applicants must indicate the name(s) of the author(s) of the dissertation or project and their national identity card number, as well as their telephone number(s) and e-mail address(es) on the form available on the E-REDES website, on the page dedicated to the Prize.

  11. Yes. Candidates must submit the following mandatory elements on the form, available for this purpose on the E-REDES website, on the page dedicated to the Prize:

    • Title of the Dissertation or Project, as well as the classification and date on which it was completed and classified;
    • A copy of the qualification certificate awarding the candidate a Master's degree from the Higher Education Institution or, in cases where the candidate has not yet received a Master's degree diploma, a copy of the document from the Higher Education Institution proving that the Dissertation or Project has already been submitted and classified.
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