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The Muntgebouw in Utrecht - Sam Derksen Fotografie
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Programme ODISSEI Community Conference 2021
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The programme of the ODISSEI Community Conference is now available online, including sessions on innovating Computational Social Science research projects, Open Science with Secure Data, and Linkage of Large Datasets in the Social Sciences and Humanities.
The conference will take place on 18 November from 12.00 to 17.30 hours at the Muntgebouw in Utrecht. Attendance is free of charge. Find more about the programme and speakers via the button below or register directly here.
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ODISSEI Lunch Lecture: Reconciliation of inconsistent data sources using hidden Markov Models
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 On Tuesday 26 October from 12:00-13:00 hours, dr. Paulina Pankowska (VU Amsterdam) presents her research on the use of hidden Markov models to produce consistent statistics with inconsistent sources. The use of hidden Markov Models can be a complicated and expensive procedure. Therefore, it is preferable to use the error parameter estimates as a correction factor for a number of years. However, this might lead to biased structural estimates if measurement error changes over time or if the data collection process changes. Pankowska’s results on these issues are highly encouraging and imply that the suggested method is appropriate for NSI’s.
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Photo by Vera Duivenvoorden
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Opening of the Snellius Supercomputer
On Thursday 16 September, the new national supercomputer Snellius was officially opened by Queen Máxima. The new supercomputer, operated by SURF, will be able to perform 14 billion calculations per second and is the most powerful high-performance computing system in the Netherlands. Currently, the ODISSEI Secure Supercomputer (OSSC) is run on the old supercomputer Cartesius, but it will be transferred to Snellius in the near future. This will enable social science researchers to conduct research with the incomparable velocity of Snellius in the highly secure environment of the OSSC.
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Let us introduce: New team members
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 Javier Garcia-Bernardo started per 1 October at the ODISSEI Social Data Science Team (SoDa) where he uses computational models to understand social and economical systems. Before joining the SoDa team, he worked as a postdoc at the University of Amsterdam and at Charles University (Prague), as a data scientist at the Tax Justice Network. He completed his PhD in Political Economy at the CORPNET group (University of Amsterdam), and his MSc in Computer Science at the University of Vermont. His main research interests lie in the intersection between complex systems, inequalities, and network science.
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 Jorik van Kemenade is an advisor for the data preservation services at SURF and started as a colleague for the ODISSEI Portal in September. He has obtained a bachelor’s degree in Artificial Intelligence and a master’s degree in Computer Science. During the research for his master thesis at CERN, he became involved in the world of open and reproducible science. Via his work at SURF and ODISSEI, Jorik van Kemenade provides researchers with usable tools, enabling them to make their research as valuable as possible.
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Marco Sta m works as Data Scout for ODISSEI. His field of interest is revolving around the effects of social-economic and judicial policy on several vital domains, such as welfare dependency, employment rates, criminology and health. Besides his PhD research at the University of Leiden, he is involved in several research projects at the departments Economy and Criminology at the University of Leiden and the Erasmus Medical Centre. During these projects, he has gotten more concerned with the diversity in data research and the obstacles within existing data infrastructures. The goal of producing an encompassing, centralised and accessible data infrastructure -and its potential for researchers-, is what brought Marco Stam to ODISSEI.
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 Parisa Zahedi works as a research engineer at the ODISSEI Social Data Science Team (SoDa) where she supports social scientists with data science technologies. Her interests lie at the intersection of machine learning, deep learning, and natural language processing. Next to her work at SoDa, Parisa together with the Research Engineering team, helps researchers at Utrecht University to apply digital technologies in research projects coming from various domains.
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 Shiva Nadi works as a research engineer at the ODISSEI Social Data Science Team (SoDa) to support researchers with programming and data science challenges since 1 October. She holds an MSc in Computer Science and besides SoDa, she works as a member of the research engineering team within the department of Research and Data Management Services at Utrecht University. Prior to that, she worked for three years on the research projects of the department of Social Sciences on domains of text mining, machine learning, and data science.
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Calendar
14 October, 14.00-15.30: ASReview Academy Workshop (Beginner)
20 October, 15.00-16.00: SoDa Data Drop-In
21 October, 14.00-15.30: ASReview Academy Workshop (Advanced)
26 October, 12.00-13.00: ODISSEI Lunch Lecture: Reconciliation of inconsistent data sources using hidden Markov models, by Paulina Pankowska (VU Amsterdam)
28 October, 14.00-15.30: ASReview Academy Workshop (Simulation)
26 to 28 November: ASRview Online Hackaton Follow the Money
18 November, 12.00-18.00: ODISSEI Community Conference
9 December, 12.00-13.00: ODISSEI Lunch Lecture: POPNET: Population Scale Network Analysis, by Eelke Heemskerk (University of Amsterdam)
View the full calendar here to see all upcoming ODISSEI events.
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