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"data science"

Researchers aim to teach math students critical thinking with data science

Researchers aim to teach math students critical thinking with data science

data scienceLouise Meier CarlsenResearchEducationchildren and youth

31 March, 2025

In a new research project at the IT University of Copenhagen and the University of Copenhagen, a group of researchers will investigate how data science can become part of high school mathematics education to provide students with a better foundation for critical thinking and the ability to illuminate and nuance claims they encounter in their daily lives.

ITU researcher awarded Villum Synergy grant for qualitative data project

ITU researcher awarded Villum Synergy grant for qualitative data project

data scienceAnna RogersCollaborationsComputer Science DepartmentResearchgrants

15 October, 2024

Associate Professor at IT University of Copenhagen, Anna Rogers, and Associate Professor Hjalmar Carlsen at University of Copenhagen have received a Villum Synergy grant from Villum Fonden to develop a new tool for conducting large-scale, high-quality qualitative interviews.

What can data driven network analysis tell us about the Roman Empire?

What can data driven network analysis tell us about the Roman Empire?

data scienceMichele CosciaCollaborationsComputer Science DepartmentResearchawards

23 October, 2023

Associate Professor at IT University’s Computer Science Department Michele Coscia has secured a grant from Villum Synergy for an interdisciplinary project applying network analysis to archaeological data to reconstruct social networks of ancient times.

NERDS research group wins best research environment award

NERDS research group wins best research environment award

data scienceLuca Maria AielloLuca RossiMichael SzellMichele CosciaRoberta SinatraAbout ITUawardsbig dataVedran Sekara

2 June, 2022

The IT University’s Networks, Data, and Society (NERDS) research group is the winner of Danish Young Academy’s award for best research environment.

Funding: ITU researchers examine cultural dynamics in the age of digitalisation

Funding: ITU researchers examine cultural dynamics in the age of digitalisation

data scienceLuca RossiVasilieos-Spyridon VlassisBusiness IT DepartmentDigital Design DepartmentResearchbig dataClimate ITdigitizationethicsgrants

1 June, 2022

Associate Professor at Digital Design, Luca Rossi, and Postdoc at Business IT, Vasilieos-Spyridon Vlassis, have secured 4.6 million kroner from the European CHANSE programme for their respective research projects in digital innovation and social and cultural dynamics.

Business travel plays vital role in economic growth, according to ITU researcher

Business travel plays vital role in economic growth, according to ITU researcher

data scienceMichele CosciaComputer Science DepartmentResearchbig dataethics

24 November, 2021

As a thought experiment Associate Professor of Computer Science at the IT-University, Michele Coscia, theorized that global GDP would drop significantly if business travel on a global scale ceased – now the global COVID-19 shutdown has proven his theory in practice.

ITU led project will make automated translation more reliable

ITU led project will make automated translation more reliable

data scienceLeon DerczynskiComputer Science DepartmentResearchalgorithms

2 June, 2021

According to associate professor at the IT University, Leon Derczynski, the Danish Gigaword Project has the potential to improve everything from automated translation to misinformation detection.

Meet the ITU researcher paving the way for a better bicycle infrastructure in cities

Meet the ITU researcher paving the way for a better bicycle infrastructure in cities

data scienceComputer Science DepartmentResearchbig data

27 May, 2021

Associate professor in Data Science at the IT University of Copenhagen, Michael Szell, studies human movement on a large scale among other things to improve conditions for bicyclists in major cities. He is co-author of a ground-breaking paper on human mobility published in the scientific journal Nature.

Study: Female researchers rival men in productivity – but have shorter careers

Study: Female researchers rival men in productivity – but have shorter careers

data scienceComputer Science DepartmentResearchdiversityRoberta Sinatra

30 November, 2020

A comprehensive study of the careers of 1.5 million researchers shows that women and men on average produce the same number of scientific articles annually, but that women tend to leave their research careers earlier. According to ITU researcher Roberta Sinatra, co-author of the study, the study should inspire decision-makers to take a closer look at the reasons why women leave academia.

ITU launches master’s programme in Data Science

ITU launches master’s programme in Data Science

data scienceAbout ITUComputer Science DepartmentEducationPeter SestoftBarbara Plank

21 October, 2020

Starting next summer, the IT University of Copenhagen will be offering a two-year master’s programme in Data Science. Future graduates will be highly sought after in the industry, which is currently experiencing a shortage of specialists who are able extract valuable knowledge from vast amounts of data.

Newly appointed professor: Creating trust is crucial in cyber security

Newly appointed professor: Creating trust is crucial in cyber security

data scienceCarsten SchürmannResearchdemocracy

19 November, 2019

Trust and cyber security are interconnected in elections and digital voting, says the newly appointed Professor Carsten Schürmann. If the result of an election is not trusted, it does not matter if it is correct.

ITU conference brings together women in data science

ITU conference brings together women in data science

data scienceComputer Science DepartmentResearchEventsdiversityBarbara PlankNatalie Schluter

4 April, 2019

On Tuesday, April 16, more than 200 women and men will gather for the first Danish edition of the Women in Data Science conference, a global event that highlights women's contributions to the data science field. The goal is to make female role models more visible and establish networks among women who work within data science.

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