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Designing Human + AI Co-Performance in Emergency Management: From static reports to dynamic decision support
John Sexton, Savannah Redlinger, Armand Tesserot, Ramin Ostad
Touchpoint - From AI to Synthetic Services 17 No. 1 (2026)
https://doi.org/10.30819/touchpoint.17-1.08 pp: 40-45 2026-04-20
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Cite: APA BibTeX
Sexton, J., & Redlinger, S., & Tesserot, A., & Ostad, R. (2026). Designing Human + AI Co-Performance in Emergency Management: From static reports to dynamic decision support. Touchpoint - From AI to Synthetic Services, 17 (1), 40-45. doi:10.30819/touchpoint.17-1.08
@article{Sexton_2026,
doi = {10.30819/touchpoint.17-1.08},
url = {https://doi.org/10.30819/touchpoint.17-1.08},
year = 2026,
publisher = {Logos Verlag Berlin},
volume = {17},
number = {1},
pages = {40-45},
author = {John Sexton, Savannah Redlinger, Armand Tesserot, Ramin Ostad},
title = {Designing Human + AI Co-Performance in Emergency Management: From static reports to dynamic decision support},
journal = {Touchpoint - From AI to Synthetic Services}
}
Abstract
When a hurricane hits, people experience the impact in intensely
human ways: families need shelter, hospitals need power, roads need
to reopen and communities need reliable information. In those
moments, emergency management becomes a mission-critical
public service; one most people rarely think about until they need it.