EU COST Action on "Data Matters: Sociotechnical Challenges of European Migration and Border Control (DATAMIG)”

Project: Research

Project participants

Description

Issues pertaining to the control of migration and borders are of paramount importance for contemporary societies. The way the relevant technology is designed and used is central to these issues. The configuration of migration and border control increasingly relies on artificial intelligence and associated digital technologies, which are based on algorithms that feed on big data. DATAMIG is focused on the need for a caring approach to big data and for the socio-technical challenges it entails. More specifically, it aims at supporting interdisciplinary research into the ways that the technological materialities inherent to the datafication of migration and border control may, on account of their black-boxed design, reproduce patterns of inclusion and exclusion that have already severely affected society. DATAMIG will foster the formation of an inclusive, self-expanding network that integrates the various disciplines contributing to the field of Science and Technology Studies (STS, with sociology of science and technology at its core) into the study of migration and borders. This will allow the latter to benefit from a unique interdisciplinary collaboration with other pivotal scientific/technical fields, including but not limited to critical Data Studies. DATAMIG will usher in building an interdisciplinary vocabulary to make data a public matter of concern and care, through research that benefits from bringing together previously disconnected arenas of contestation and public interventions concerning data matters in European migration and border control.
Short titleDATAMIG
StatusActive
Period28.09.2327.09.27

Recently viewed

Publications

  1. An Orthogonal Wavelet Denoising Algorithm for Surface Images of Atomic Force Microscopy
  2. Stability analysis of a linear model predictive control and its application in a water recovery process
  3. Supporting the Development and Realization of Data-Driven Business Models with Enterprise Architecture Modeling and Management
  4. Building a process layer for business applications using the blackboard pattern
  5. Expertise in research integration and implementation for tackling complex problems
  6. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  7. Binary Random Nets I
  8. Partitioned beta diversity patterns of plants across sharp and distinct boundaries of quartz habitat islands
  9. Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems
  10. Guest Editorial Special Issue on Sensors in Machine Vision of Automated Systems
  11. Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing
  12. Machine Learning and Knowledge Discovery in Databases
  13. Four Methods to Distinguish between Fractal Dimensions in Time Series through Recurrence Quantification Analysis
  14. The elicitation process in developing of case library for Case-Based Reasoner system whilst consideration for validating electronic communication technologies
  15. Eliciting Learner Perceptions of Web 2.0 Tasks through Mixed-Methods Classroom Research
  16. Failure to Learn From Failure Is Mitigated by Loss-Framing and Corrective Feedback
  17. A general structural property in wavelet packets for detecting oscillation and noise components in signal analysis
  18. Constructs for Assessing Integrated Reports-Testing the Predictive Validity of a Taxonomy for Organization Size, Industry, and Performance
  19. Overcoming Multi-legacy Application Challenges through Building Dynamic Capabilities for Low-Code Adoption
  20. Mechanical performance prediction for friction riveting joints of dissimilar materials via machine learning
  21. Switching between reading tasks leads to phase-transitions in reading times in L1 and L2 readers
  22. Making an Impression Through Openness
  23. Continuous and Discrete Concepts for Detecting Transport Barriers in the Planar Circular Restricted Three Body Problem
  24. Q-Adaptive Control of the nonlinear dynamics of the cantilever-sample system of an Atomic Force Microscope