Towards Decolonizing Disaster Risk Communication and Resilience Building; Indigenous Knowledge Insights from High Mountain Asia

Abstract ID: 3.12047 | Accepted as Talk | Talk/Oral | TBA | TBA

Sultan Ahmed (0)
Sultan Ahmed ((0) University of Canterbury, 400 Private Bag, 8041, Christchurch, Canterbury, NZ)

(0) University of Canterbury, 400 Private Bag, 8041, Christchurch, Canterbury, NZ

Categories: Socio-Ecology
Keywords: High Asia, Disaster Risk Communication, Resilience, Indigenous Knowledge, Wakhi

Categories: Socio-Ecology
Keywords: High Asia, Disaster Risk Communication, Resilience, Indigenous Knowledge, Wakhi

This research examines disaster risk communication (DRC) and resilience-building in High Mountain Asia (HMA) through the lens of Indigenous Knowledge (IK) among the Wakhi people, who span the borders of Afghanistan, Pakistan, Tajikistan, and China. Preliminary findings from the four countries reveal nuanced and complex dynamics: while elders emphasize the value of IK—rooted in centuries of evolution—youth increasingly favor scientific methods as more relevant to contemporary challenges. This contrast highlights a gap in DRC, as government-led initiatives prioritize scientific knowledge and adopt an autocratic, top-down approach, whereas NGOs employ participatory approaches, though their reach and effectiveness remain limited. Indigenous practices such as resilient construction, communal storage, land planning, and ritual offerings reflect a profound relationship with the environment, grounded in both practical adaptations and spiritual traditions. These practices embody a spiritual bond with nature, where rituals and offerings seek harmony with natural and supernatural forces, reinforcing both community resilience and individual confidence in facing disasters. Yet, formal systems often marginalize these practices. This study advocates for a decolonized approach that respects both scientific and Indigenous epistemologies, recognizing the unique resilience strategies of cross-border communities. By bridging these knowledge systems, this research aims to foster inclusive, context-sensitive frameworks for DRC in HMA.

N/A
NAME:
TBA
BUILDING:
TBA
FLOOR:
TBA
TYPE:
TBA
CAPACITY:
TBA
ACCESS:
TBA
ADDITIONAL:
TBA
FIND ME:
>> Google Maps

Limits: min. 3 words, max. 30 words or 200 characters

Choose the session you want to submit an abstract. Please be assured that similar sessions will either be scheduled consecutively or merged once the abstract submission phase is completed.

Select your preferred presentation mode
Please visit the session format page to get a detailed view on the presentation timings
The final decision on oral/poster is made by the (Co-)Conveners and will be communicated via your My#IMC dashboard

Please add here your abstract meeting the following requirements:
NO REFERNCES/KEYWORDS/ACKNOWEDGEMENTS IN AN ABSTRACT!
Limits: min 100 words, max 350 words or 2500 characters incl. tabs
Criteria: use only UTF-8 HTML character set, no equations/special characters/coding
Copy/Paste from an external editor is possible but check/reformat your text before submitting (e.g. bullet points, returns, aso)

Add here affiliations (max. 30) for you and your co-author(s). Use the row number to assign the affiliation to you and your co-author(s).
When you hover over the row number you are able to change the order of the affiliation list.

1
1

Add here co-author(s) (max. 30) to your abstract. Please assign the affiliation(s) of each co-author in the "Assigned Aff. No" by using the corresponding numbers from the "Affiliation List" (e.g.: 1,2,...)
When you hover over the row number you are able to change the order of the co-author list.

1
1
2
3
4
5
1
Close