Basing on the collaboration between academic and non-academic partners from Italy, Spain, Bulgaria, and Norway ISPAS’ overall objective is to develop new joint curricula of PhD courses. It will take place in both academic and non-academic surroundings to equip PhD candidates of the STEM Sciences, Medical Sciences, Social Sciences, Arts and Humanities with competences and skills in the areas of open innovation and open science to facilitate their employment after graduation in and outside of academia.

The new joint curricula of PhD skills courses will address the recommendation of reinforcing tools, resources and guidance in education, training, employment and other learning settings to support people in managing their lifelong learning pathways. The development of the courses will be organized based on the quadruple helix model of collaboration where consortium’s academic partners collaborate with consortium’s non-academic partners, representatives of industry and public sector, and involve governmental representatives and citizens.

News & Anouncements

  • Instructors: Emil Kolev (IMI-BAS), Emil Kelevedjiev (IMI-BAS), Stanislav Harizanov (IMI-BAS), Konstantin Delchev (IMI-BAS), Albena Vasileva (IMI-BAS) Language of instruction: English

    Total duration - 32 hours

    Credits (ECTS) - 6

     Institute of Mathematics and Informatics at the Bulgarian Academy of Sciences https://math.bas.bg/

    DESCRIPTION OF THE COURSE

    The course consists of four modules. The aim of the course is to introduce students to the main steps in organizing Olympiads of mathematics and informatics, the selection process and conduct of Summer Research schools, the specific features of Science Fairs and extra curriculum activities.

    Pre-requirements

    Master Degree or equivalent in disciplines relevant to STEM, digital humanities or historical sciences

    Compulsory Requirements

    English language, Basic computer competences

    Pre-requisite knowledge

    • Basic knowledge of school mathematics and informatics.
    • Understanding the main goals of STEM activities.

     

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  • INSTRUCTOR: Elena Giglia, Head of the Open Access Office at the University of Turin, Italy LOCATION: on-line, Webex platform LANGUAGE: English

    Schedule (9 hours in total):

    16 February 2022, H 10:00-13:00

    17 February 2022, H 10:00-13:00

    18 February 2022, H 10:00-13:00

    University of Turin www.unito.it

    DESCRIPTION OF THE COURSE

    This course focuses on data management, as “good research needs good data”.

    The modules will follow the 3-step concept:

    a. manage your data

    b. make them FAIR

    c. if possible, make them Open.

    A practical exercise on drafting the Data management Plan of real datasets is included.

    Further, the course emphasizes the development of skills related to data stewardship, which according to the Realising the Open Science Cloud report (2016) will be a huge professional opportunity for PhDs. Data stewards support researchers in making data FAIR; their skills will be crucial in the making of the EOSC, as FAIR data are EOSC’s building blocks.

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  • Instructor: Elena Giglia, Head of the Open Access Office at the University of Turin, Italy Location: ON-LINE, WEBEX PLATFORM

    SCHEDULE (12 hours in total):

    17 January 2022, H 9:00-11:00 – 11:30-13:30

    18 January 2022, H 9:00-11:00 – 11:30-13:30

    19 January 2022, H 9:00-11:00 – 11:30-13:30

    University of Turinwww.unito.it

    Open Science A to Z is a comprehensive course aimed at giving participants a 360° view on Open Science, Open Access, and European policies on the topic.

    During the practice time, participants will get first-hand experience of some of the tools.

    The interaction will be provided through Mentimeter.

    LEARNING OBJECTIVES

    Knowledge

    After completion of the course, the candidate:

    • Has an in-depth understanding of the current scholarly communication system and its biases
    • Has an in-depth understanding of the core principles of Open Science and Open Access
    • Has the basics of data management and FAIR data
    • Has specific knowledge about the tools to properly do Open Science and Open Access in practice

    Skills

    After completion of the course, the candidate:

    • Can discuss critically the current scholarly communication system
    • Can use Open Science and Open Access tools in order to open up the research workflow
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