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

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Publications

  1. Integration of laser scanning and projection speckle pattern for advanced pipeline monitoring
  2. Towards a Bayesian Student Model for Detecting Decimal Misconceptions
  3. Derivative approximation using a discrete dynamic system
  4. Considerations on efficient touch interfaces - How display size influences the performance in an applied pointing task
  5. An Orthogonal Wavelet Denoising Algorithm for Surface Images of Atomic Force Microscopy
  6. Efficient and accurate ℓ p-norm multiple kernel learning
  7. A statistical study of the spatial evolution of shock acceleration efficiency for 5 MeV protons and subsequent particle propagation
  8. The Use of Factorization and Multimode Parametric Spectra in Estimating Frequency and Spectral Parameters of Signal
  9. Model inversion using fuzzy neural network with boosting of the solution
  10. Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants
  11. Some model properties to control a permanent magnet machine using a controlled invariant subspace
  12. Supporting the Decision of the Order Processing Strategy by Using Logistic Models
  13. Optimizing price levels in e-commerce applications with respect to customer lifetime values
  14. Structure and dynamics laboratory testing of an indirectly controlled full variable valve train for camless engines
  15. Data based analysis of order processing strategies to support the positioning between conflicting economic and logistic objectives
  16. Implementing ERP systems in multinational projects
  17. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  18. Advances in Dynamics, Optimization and Computation
  19. Optimized neural networks for modeling of loudspeaker directivity diagrams
  20. Applied quality assurance methods under the open source development model
  21. Microstructural development of as-cast AM50 during Constrained Friction Processing: grain refinement and influence of process parameters
  22. Gain Scheduling Controller for Improving Level Control Performance
  23. Machine Learning and Knowledge Discovery in Databases
  24. Hypertext
  25. Solving mathematical problems with dynamical sketches
  26. Essentializing the binary self
  27. Inversion of fuzzy neural networks for the reduction of noise in the control loop
  28. Constructs for Assessing Integrated Reports-Testing the Predictive Validity of a Taxonomy for Organization Size, Industry, and Performance
  29. Promising practices for dealing with complexity in research for development