Mapping Ocean Stories Using Text Analysis
Abstract Number:
3783
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Paper
Participants:
Laurie Baker (1)
Institutions:
(1) College of the Atlantic, Bar Harbor, Maine
First Author:
Presenting Author:
Abstract Text:
Maine and its coastal and fishing communities are facing unprecedented challenges due to climate change. Oral histories provide a powerful set of insights into how ecosystems and communities have responded to changing conditions and fish abundance over time. The goal of our project, Mapping Ocean Stories, is to study the changes in species distributions and commercial fisheries using data science techniques to offer a bird's eye view of coastal Maine over several generations. By amplifying the voices of Maine's coastal communities, our goal is to bridge the gap between policies crafted by agencies without specific insights into the inshore and offshore local knowledge, and support better adaptive decisions that contribute to the resilience of Maine marine fisheries and aquaculture industries.
In this talk I will present the text analysis and geocoding approaches we are using to identify spatial activities from oral history interviews. I will also discuss the challenges associated with locating activities in the ocean from text descriptions and the ways in which we are capturing uncertainty in the data.
Keywords:
Text Analysis|Geographical Information Systems|Spatial data|Local Knowledge|Oral Histories|
Sponsors:
Section on Text Analysis
Tracks:
Miscellaneous
Can this be considered for alternate subtype?
Yes
Are you interested in volunteering to serve as a session chair?
No
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.
I understand
You have unsaved changes.