EPJ Data Science appoints Dr Yelena Mejova as co-Editor-in-Chief

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Published on 09 January 2023

EPJ is pleased to announce that Dr Yelena Mejova has been appointed as a co-Editor-in-Chief for EPJ Data Science, effective January 2023. She will be responsible for overseeing the editorial process of the journal, working closely with Dr Ingmar Weber, who continues to serve as co-Editor-in-Chief.

Yelena Mejova is a Senior Research Scientist at the ISI Foundation in Turin, Italy. Specializing in social media analysis and mining, her work concerns the quantification of health and wellbeing signals in social media, as well as tracking of social phenomena, including politics and news consumption. In 2022, she co-chaired International AAAI Conference on Web and Social Media (ICWSM) and the Web & Society track at The Web Conference. As a part of the CRT Foundation's Lagrange Project for Data Science and Social Impact, she is also working with the humanitarian sector including the World Food Program, OCHA, and IMMAP to develop NLP and modeling tools to aid in humanitarian data management and forecasting.

EPJ Data Science Highlight - A data-driven approach for assessing biking safety in cities

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Published on 25 March 2021

The bicycle is arguably the most sustainable and eco-friendly mode of transport but biking safety remains a prime concern, especially in cities. In their work recently published in EPJ Data Science Konstantinos Pelechrinis and his co-authors propose a model which provides interpretable findings for practical change.

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EPJ Data Science appoints Dr. Ingmar Weber as co-Editor-in-Chief

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Published on 07 January 2021

EPJ is pleased to announce that Dr Ingmar Weber of Qatar Computing Research Institute (QCRI) has been appointed as a co-Editor-in-Chief for EPJ Data Science, effective January 2021. He will be responsible for overseeing the editorial process of the journal, working closely with Prof Markus Strohmaier, who continues to serve as co-Editor-in-Chief. Ingmar Weber is the Research Director for Social Computing at QCRI where his research focuses on using social media and other non-traditional data to study phenomena such as international migration, digital gender gaps, and wealth inequalities. Of particular interest is how such data can be used to provide better statistics on global development and how, in turn, such statistics can be used for better interventions and policy decisions. This work is done in close collaboration with different United Nations entities and NGOs. Ingmar Weber currently serves as an ACM Distinguished Speaker and is a Senior Member of AAAI, IEEE, and ACM. He has been a member of the Editorial Board for EPJ Data Science since 2018.