SICSS-ODISSEI summer school open for applications
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It is now possible to apply for the SICSS-ODISSEI summer school 2023. In this summer school ODISSEI hopes to bring together PhD students, post-docs and early career researchers interested in computational social science. The programme will be for social scientists and data scientists and it will take place from 19-30 June at Erasmus University Rotterdam. Read more about the programme and the application process via the button below. Applications can be submitted no later than 28 February.
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Photo of SICSS-ODISSEI 2022 by MG Fotografie / Michel Groen
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The ODISSEI eScience Grants that have been awarded after the call of 2022 have been announced. Applicants could submit a proposal to conduct innovating computational social science research, for which they could use the expertise of Research Software Engineers (RSEs) of the Netherlands eScience Center. In total, 5 projects were awarded 3 months of RSE time. The awarded projects cover various topics, ranging from political polarisation and residential segregation, labour market outcomes of PhD recipients to vocalisation of disgust in different social contexts. Each project requires a different type of support by the RSEs of the eScience Center. They will help create the datasets, build new software that expands on the already existing one or create the algorithms to analyse complex social phenomena.
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CBS-ODISSEI Microdata Meeting Energy Poverty in Figures
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On 23 February, the next online microdata meeting will take place, with a presentation of Lydia Geijtenbeek (CBS) on her work ‘Energy Poverty in Figures’. With the increasing fossil fuel prices and the need to transform our energy systems, energy poverty has become an increasingly important topic. Households are energy poor when their energy bill is too high compared to their income, negatively affecting their health or social life. As a follow-up to a study of TNO (2021), Statistics Netherlands has created a file that describes energy poverty in the Netherlands through 4 different indicators. This dataset for the year 2020 will soon be available for researchers via the secure remote access (RA) environment.
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During her presentation, Lydia Geijtenbeek will show how these data have been constructed, how they can be used for social research, and how the already available data can be used to estimate the current levels of energy poverty.
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The ODISSEI FAIR support team is here to help the ODISSEI community with questions around data management (RDM), Open Science and FAIR data. In the fall of 2022, the team started publishing a series of short articles to disseminate knowledge on these topics to the social science community (see e.g. the team's short article on Persistent Identifiers and the one on Controlled Vocabularies). Do you have questions connected to RDM/FAIR, suggestions about topics to cover in our series, or would you like to collaborate in writing a short article? Let them know with an email to fairsupport@odissei-data.nl.
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Emilio Cammarata started as new trainee for the FAIR Expertise Hub on 15 January. In his task as trainee he will work with ODISSEI Data Manager Angelica Maineri and the ODISSEI FAIR Support team. Emilio is pursuing a MSc degree in sociology and policy in comparative perspective in Tilburg University and a MSc degree in sociology and social research in Trento University. His studies are providing him an interdisciplinary background of statistical, sociological and computational skills that he is looking forward to apply in the context of ODISSEI.
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Aron Joosse has recently started a SoDa Traineeship. He has a background in business administration, communication science, and data science. His master’s thesis focused on computationally modelling people’s associations with fictional character names. Specifically, results showed that people use the sounds present in names to infer the age, gender, and evilness of fictional characters.
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For his six-month traineeship at SoDa, Aron will be computationally modelling people's intuitions about various associations of both real words and non-words (e.g., novel words or company names) for the Dutch language. The project will result in an easy-to-use openly available application in which (non-)words can be analyzed for various associations that they may evoke as well as give a list of semantically similar words. The resulting application can be used to enrich data about for example company names, or to control for associations of words or names used in experiments such as vignette studies.
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Calendar
16 February, 16:00-17:00: SoDa Data Drop-in
23 February, 14:00-15:00: CBS-ODISSEI Microdata Meeting: Energy Poverty in Figures, Lydia Geijtenbeek (Statistics Netherlands)
28 February, 12:00-13:00: ODISSEI Lunch Lecture (postponed from December): The robot or the brain, dr. Irina Lock (UvA) and Christiaan Meijer (Netherlands eScience Center)
19-30 June: SICSS-ODISSEI summer school
Click here to view all ODISSEI related events.
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