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  • NPSO Innovation Day

    On the 8th of December, the Netherlands Platform of Survey Research organises the bi-yearly Innovationday for Dutch and Belgian researchers. Nine researchers will present their work regarding methodology (quantitative and qualitative) for using and/or analysing surveys, Big Data and a variety of sources.

  • ASReview Academy Workshop (Advanced)

    Learn how to use ASReview for your systematic literature review in this ‘Getting started with ASReview’ Academy. After following this workshop, you should have all the knowledge and skills to start your systematic screening process.

  • ODISSEI eScience Grants 2021 awarded

    ODISSEI eScience Grants 2021 awarded

    ODISSEI and the Netherlands eScience Center work together to provide researchers with in-kind support to execute their innovative social science research projects. They do this through the annual award of ODISSEI eScience Grants. Following the 2021 call for proposals, five projects have been awarded with three months of in-kind support by Research Software Engineers of…

  • ODISSEI Lunch Lecture: Population Scale Social Network Analysis

    ODISSEI Lunch Lecture: Population Scale Social Network Analysis

    On Thursday 9 December from 12:00 to 13:00, the last ODISSEI Lunch Lecture of this semester will take place online. Dr. Eelke Heemskerk (University of Amsterdam) will give a lecture on POPNET: Population Scale Social Network Analysis. We warmly invite you to attend this online lecture, to learn more about POPNET, and to participate in…

  • Hackathon ASReview for Follow the Money

    Hackathon ASReview for Follow the Money

    Investigating the communication between multinational oil and gas company Shell and the Dutch government. From Friday evening 26 November to Sunday afternoon 28 November, ASReview will organise a Hackaton for Follow the Money (FTM). The Hackaton for Follow The Money will revolve around the communication between multinational oil and gas company Shell and the Dutch government. Follow…

  • ODISSEI Lunch Lecture: Reconciliation of inconsistent data sources using hidden Markov models

    ODISSEI Lunch Lecture: Reconciliation of inconsistent data sources using hidden Markov models

    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. We warmly invite you to attend this lecture, learn more about Pankowska’s research, and participate in the Q&A and discussion after the lecture. More information about…

  • Hackathon ASReview for Follow the Money

    In light of the recently launched Special Interest Group of Applied Data Science, the ASReview-team is organizing a hackathon! To investigate the communication between multinational oil and gas company Shell and the Dutch government, Follow the Money (FTM) is gathering and scrutinizing many many documents.

  • NPSO Event: Seminar Machine Learning

    On Thursday 28 October from 14.30 to 16.30 hours, the Dutch Platform of Survey Research will organise an online seminar about the use of Machine Learning Techniques in Survey Research. The main language of this seminar will be Dutch.

  • ODISSEI Community Conference 2021 programme and live stream

    ODISSEI Community Conference 2021 programme and live stream

    The Community Conference 2021 will be an opportunity to meet those who are building and using ODISSEI in person, through a series of highly interactive and stimulating sessions designed to encourage collaborations and inspire new lines of research. Sessions will encompass everything from the latest developments in survey science through to projects utilizing the ODISSEI Secure…

  • POPNET Connects with Márton Karsai

    In this talk, POPNET will discuss a set of results aiming to close the uneven distribution of wealth and individual economic capacities through studies relying on various data-driven observations on mobile-phone communication, bank transaction, satellite, online social system and human mobility datasets.