Back to results

Massachusetts Institute of Technology

Toward a Holobiont Urbanism : microbial sampling scalability through Apis mellifera

Abstract

dc:description.abstract

We are in constant symbiosis with the 100 trillion microbes in our gut and the complex system of bacteria around us in our environment. Within the field of metagenomics, it's clear that understanding the built environment is necessary in order to learn more about ourselves as participants in this microbial ecosystem. By understanding the cities which we inhabit in from a bacterial point of view we can begin to discern the invisible qualities of cities. I want to understand the city as a biological organism, understand its bacterial ecosystem and visualize the invisible microbial world within the built environment. I propose a method of sampling biological material from cities by using honeybees (Apis mellifera) as a proxy to swab-based sampling methods.

Degree

thesis:*
Department dc:contributor.department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Perez, Miguel (Miguel Angel)
Advisor dc:contributor.advisor
  • Kevin Slavin.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/115029
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/115029

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Perez, Miguel (Miguel Angel). Toward a Holobiont Urbanism : microbial sampling scalability through Apis mellifera. Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/115029