News about the News

Date: February 25,  2019
Author: lucr
Comments: No Comments
Categories: Events, News

Digital Data Specialist Mads Daniel Christensen, Student Data Specialist Therese Moreau Hansen and Research Manager Bent Steeg Larsen from Politiken talk about introducing and organizing data as a central basis for decision-making in a 130-year-old company that must adjust to a highly competitive digital and globalized media market. Fortunately, there are.

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On May 4th, the Data Science & Society Lab will host another appointment with the Data Science Talks. This month, digital specialist Mads Daniel Christensen and Research Manager Bent Steeg Larsen, from Politiken, will talk about introducing and organizing data as a central basis for decision-making in a 130-year-old company that.

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Data Science Talks: How to walk the thin line between algorithms and management

Date: March 26,  2018
Author: lucr
Comments: No Comments
Categories: Events, News

On April 6th the Data Science & Society Lab will host a new Data Science Talk. Kristian Vingaard Petersen, senior consultant at NetCompany will present his insights on: How to walk the thin line between algorithms and management. By now, everybody knows the new buzzwords around Data Science. A lot of companies and.

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[workshop] Analysis of Multiplex Social Networks with R

Date: March 05,  2018
Author: lucr
Comments: No Comments
Categories: News, Research, Teaching

A multiplex network is a network where actors are connected through different types of edges, such as "working together", "friend", etc. These different types of connections are also known as layers. The workshop will introduce the R multinet library for the analysis of multiplex social networks, first published on.

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The Data Science & Society Lab @ITU

Date: November 07,  2017
Author: lucr
Comments: No Comments
Categories: News

The focus of the Lab is to bridge the gap from academia society and industry and allow students and researchers to work on real-world Data with cutting-edge methodologies. DSS wish to explore the limits of data science for knowing and engaging with social life.   Keeping a strong hands-on approach, the DSS.

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