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. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  2. Machine Learning and Knowledge Discovery in Databases
  3. 7th open challenge on question answering over linked data (QALD-7)
  4. Simulating X-ray beam energy and detector signal processing of an industrial CT using implicit neural representations
  5. Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach
  6. Modeling Conditional Dependencies in Multiagent Trajectories
  7. Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup
  8. Fixed-term Contracts and Wages Revisited Using Linked Employer-Employee Data from Germany
  9. Stability analysis of a linear model predictive control and its application in a water recovery process
  10. Building a process layer for business applications using the blackboard pattern
  11. Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention
  12. Probabilistic approach to modelling of recession curves
  13. Study on the effects of tool design and process parameters on the robustness of deep drawing
  14. Identification of structure-biodegradability relationships for ionic liquids - clustering of a dataset based on structural similarity
  15. A Proposal for Integrating Theories of Complexity for Better Understanding Global Systemic Risks
  16. Changes in the Complexity of Limb Movements during the First Year of Life across Different Tasks
  17. Binary Random Nets I
  18. The learning net - an interactive representation of shared knowledge
  19. Cognitive Predictors of Child Second Language Comprehension and Syntactic Learning
  20. Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems
  21. Some model properties to control a permanent magnet machine using a controlled invariant subspace
  22. Model inversion using fuzzy neural network with boosting of the solution
  23. Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants
  24. Robust Control of Mobile Transportation Object with 3D Technical Vision System
  25. Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments
  26. Using augmented video to test in-car user experiences of context analog HUDs
  27. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  28. Advances in Dynamics, Optimization and Computation
  29. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  30. Data-Driven flood detection using neural networks
  31. Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems