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Migration and Identity Of Sociopolitical Perspective on Integration and Assimilation

Author(s):Padmaja Munde1, Aditi Shivale2,Prajakta More3

Affiliation: SNDT Women's University, India

Page No: 9-21

Volume issue & Publishing Year: Volume 1 Issue 2- OCT 2024

Journal: International Journal of Advanced Multidisciplinary Application.(IJAMA)

ISSN NO: 3048-9350

DOI:

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Abstract:
Migration, an enduring global phenomenon, plays a pivotal role in shaping the identities of both migrants and host communities. This article examines the sociopolitical dimensions of integration and assimilation, analyzing the impacts on identity formation and social cohesion. We explore case studies from diverse geopolitical regions to illustrate the complexities of policy frameworks, cultural negotiation, and identity struggles. The analysis is grounded in multidisciplinary insights from sociology, political science, and
cultural studies, providing comprehensive recommendations for fostering inclusive policies that balance societal harmony and multiculturalism

Keywords: migration, identity, integration, assimilation, social cohesion, multiculturalism, policy frameworks

Reference:

  • [1] J. Adriaensen and D. De Smet, “Satellite remote sensing for disaster management: Applications and challenges,” Remote Sensing Reviews, vol. 42, no. 4, pp. 237–265, 2020.
  • [2] S. Boller and K. McDonald, “The use of remote sensing data for flood management: Case studies and lessons learned,” Water Resources Management, vol. 33, no. 2, pp. 481–497, 2019.
  • [3] M. Campagna and J. Stucki, “Advances in satellite-based monitoring of natural disasters,” International Journal of Remote Sensing, vol. 42, no. 10, pp. 3704–3722, 2021.
  • [4] X. Chen and Z. Yang, “Applications of hyperspectral remote sensing in disaster management,” Remote Sensing, vol. 9, no. 11, p. 1193, 2017.
  • [5] C. F. Chien and C. H. Cheng, “Ground-based sensor networks for disaster monitoring: A review,” Sensors, vol. 18, no. 4, p. 1069, 2018.
  • [6] X. Cui and L. Zhang, “Machine learning techniques for analyzing remote sensing data in natural disaster management,” Computers, Environment and Urban Systems, vol. 79, p. 101401, 2020.
  • [7] M. A. Dubois and S. Platt, “Real-time monitoring of wildfires using satellite data and ground sensors,” Journal of Applied Remote Sensing, vol. 12, no. 2, p. 024505, 2018.
  • [8] J. C. Elmore and J. Nagy, “Integrating satellite and drone data for enhanced disaster response,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 12, pp. 9874–9884, 2019.
  • [9] X. Fan and J. Zhao, “Satellite-based damage assessment of earthquakes: A comparative study,” Earthquake Engineering & Structural Dynamics, vol. 50, no. 4, pp. 1205–1221, 2021.
  • [10] S. Ghosh and R. Rana, “Advancements in remote sensing for managing natural disasters,” Journal of Environmental Management, vol. 204, pp. 311–327, 2017.
  • [11] A. Goss and J. Weatherby, “Applications of synthetic aperture radar in disaster management,” International Journal of Disaster Risk Reduction, vol. 36, p. 101115, 2019.
  • [12] W. Huang and H. Zhang, “Drone-based remote sensing for post-disaster assessment: A case study on floods,” IEEE Access, vol. 8, pp. 102109–102121, 2020.
  • [13] J. Kopp and H. Dan, “The role of remote sensing in flood risk management,” Hydrology and Earth System Sciences, vol. 22, no. 5, pp. 2831–2848, 2018.
  • [14] Z. Li and B. Liu, “Advancements in remote sensing technologies for earthquake monitoring,” Journal of Geophysical Research: Solid Earth, vol. 124, no. 7, pp. 6789–6805, 2019.
  • [15] D. Lu and Q. Weng, “Remote sensing for monitoring and managing natural disasters,” Science Progress, vol. 103, no. 2, p. 0036850420918097, 2020.
  • [16] S. Manson and J. Hu, “Integration of remote sensing and GIS for wildfire management,” Fire Technology, vol. 57, no. 2, pp. 877–895, 2021.
  • [17] R. A. Martin and S. Marsh, “Using remote sensing data for post-disaster damage assessment: A review,” Journal of Risk Research, vol. 23, no. 5, pp. 649–663, 2020.
  • [18] S. Sinha and M. Patel, “Innovations in remote sensing for natural disaster response and management,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 6, pp. 3821–3833, 2019.
  • [19] H. Wang and Y. Zhang, “The impact of remote sensing technologies on disaster management: A systematic review,” International Journal of Applied Earth Observation and Geoinformation, vol. 95, p. 102247, 2021.
  • [20] Z. Yang and J. Wu, “Remote sensing data integration for disaster risk reduction and management,” Environmental Monitoring and Assessment, vol. 193, no. 8, p. 528, 2021.