Data Stories

The RISC Milieus: A Data Story from Social Survey Data to an Open-Source Typology with Interactive Applications

by Dr Anne Speer (University Bremen / Research Institute Social Cohesion), Charlotte Brandhorst (University Bremen / Research Institute Social Cohesion)

Europe/Berlin
Room 2.2070/2.2090, 2nd floor (Unicom 2 (Haus Oxford))

Room 2.2070/2.2090, 2nd floor

Unicom 2 (Haus Oxford)

Mary-Somerville-Straße 2 28359 Bremen
Description

The Data Champion Award is an accolade presented annually by DataNord. The award recognizes outstanding achievements in the field of research data and a special commitment to the FAIR handling of research data. This award is intended not only to acknowledge individual accomplishments in the fields of data-intensive science, data science, and research data management (RDM), but also to serve as an incentive to continue working at the highest level and to drive innovation forward.

Following the award ceremony on Research Data Day 2026, the Data Champions 2026 will showcase their work in this exclusive Data Story.

The Story

The RISC Milieus: A Data Story from Social Survey Data to an Open-Source Typology with Interactive Applications

As concerns about social cohesion increase, there is new interest in studying societal conflicts between social milieus: groups in society with shared values and social positions. How can we grasp such milieus with empirical data, and what can they reveal about contemporary social conflicts? Join us on our data journey where we introduce participants to the RISC milieu typology and its accompanying data project which was awarded the Data Champion Award 2026. The workshop is divided into two parts:

Part 1: The Research Project and our Data Journey.

We'll begin with an introduction to social milieus and the RISC milieu typology in particular, and discuss why these tools are useful for analyzing social conflicts. We then introduce you to the technical workflow behind the construction and validation of the RISC milieu typology on a conceptual level (no prior methodological knowledge is required).

Part 2: Interactive Exploration.

The second part gets practical as we explore the typology interactively. Participants can identify their own milieu membership using our milieu calculator and explore relationships between different milieus through our interactive visualization tool.

The workshop concludes with a reflection of open science principles and an open discussion.

Part 3: Get-together.

Following the workshop, continue the discussion and get to know other data enthusiasts in a casual get-together with free🧃drinks and🍕 snacks.

More information