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Oriol Bosch Jover

Associate Director of Research at Verian (LCDS Postdoc Researcher 2023-2024)

Oriol is a Postdoctoral Research in Data Donation and Computational Methods, working within Professor Melinda Mill’s ERC advanced grant CHRONO, and the Data4Science project. He is also a Research Fellow at the Research and Expertise Centre for Survey Methodology (Universitat Pompeu Fabra), where he collaborates in the ERC starting grant WEB DATA OPP.

As a computational methodologist, Oriol specialises in the use of survey and computational methods to understand how scientists can best collect and analyse new sources of data, such as digital trace data. Currently he is mainly interested in developing new methodologies to improve the collection of digital data through web trackers and data donations, while quantifying and minimising their errors and biases.

Before joining Oxford, Oriol completed his PhD in Social Research Methods at The London School of Economics, an MSc in Survey Methods for Social Research from the University of Essex, and a BSc in Political Science from Pompeu Fabra University. Additionally, Oriol has extensive research experience, having worked as a researcher or consultant for The Alan Turing Institute, Wellcome Trust, University of Southampton, University of Mannheim, and the Institute for Social and Economic Research.

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23 Sep 2024

Biases in digital trace data and implications for online media research

Oriol Bosch Jover

Associate Director of Research at Verian (LCDS Postdoc Researcher 2023-2024)
This is the alt text
Links
Google Scholar
Personal website
X
Bluesky

Oriol is a Postdoctoral Research in Data Donation and Computational Methods, working within Professor Melinda Mill’s ERC advanced grant CHRONO, and the Data4Science project. He is also a Research Fellow at the Research and Expertise Centre for Survey Methodology (Universitat Pompeu Fabra), where he collaborates in the ERC starting grant WEB DATA OPP.

As a computational methodologist, Oriol specialises in the use of survey and computational methods to understand how scientists can best collect and analyse new sources of data, such as digital trace data. Currently he is mainly interested in developing new methodologies to improve the collection of digital data through web trackers and data donations, while quantifying and minimising their errors and biases.

Before joining Oxford, Oriol completed his PhD in Social Research Methods at The London School of Economics, an MSc in Survey Methods for Social Research from the University of Essex, and a BSc in Political Science from Pompeu Fabra University. Additionally, Oriol has extensive research experience, having worked as a researcher or consultant for The Alan Turing Institute, Wellcome Trust, University of Southampton, University of Mannheim, and the Institute for Social and Economic Research.

Files

Recent

news
23 Sep 2024

Biases in digital trace data and implications for online media research

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