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Complex Systems Summer School 2016-Projects & Working Groups

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Revision as of 06:39, 14 June 2016 by Correa (talk | contribs) (A preliminary model of the coupled human-natural system of swidden agriculture: Languages and production)
Complex Systems Summer School 2016


Projects

Shifts in a prestige good economy when an external supply dries up

Summary

The question is in the title: how does a prestige economy respond when it is dependent on externally-produced goods that are suddenly no longer available?
An interesting case study (and what inspired the question) is the Late Yayoi-period Japanese islands (roughly 100-300 CE), a network of chiefdoms closely connected to the Korean peninsula (as a source of ore) and the Chinese mainland (as a "tributary state" of the Han Dynasty). The chief status markers in Western Yayoi society were Chinese-produced bronze mirrors and swords -- so that when the Han Dynasty fell (220 CE) and the supplies of these "goodies" dried up, we see evidence in the archeological record of upheaval (including an attempt to make homegrown replicas of the prized items). This may also have contributed to the subsequent formation of more complex chiefdoms.
It would be interesting to put together an exploratory model of this (don't have data, at least not for the Japan example). I know some folks at SFI have been working on the dynamics of prestige.

Group Contact

Ellen Badgley (flyingrat42@gmail.com)

Interested participants, please sign up below

Tracking the migrations of urban hipsters

Summary

This is linked to the "Viscosity of Labor" question on the MITRE Challenge Questions list - see the separate link lower down.
In brief: looking at labor categories from US Census collected data and observing how they shift across spatial/temporal dimensions. Does this change with the scale of the urban area, and is there a link to income or do the labor distributions hold static?

Group Contact

External to CSSS (but here in Santa Fe): Matt Koehler (mkoehler@mitre.org)
Attending CSSS: Ellen Badgley (ebadgley@mitre.org, flyingrat42@gmail.com)

Interested participants, please sign up below

A preliminary model of the coupled human-natural system of swidden agriculture

Summary

Swidden agriculture, also known as Slash-and-burn is about as old as agriculture itself. It has diverse forms practiced by 200 to 500 million people in different regions of the world; all of these forms involve the slashing and burning of portions of forest, hence its name. There has been a historic controversy regarding swidden agriculture, with some publications presenting it as a destructive force that contributes to global deforestation and other publications highlighting its sustainability and ecological benefits. This controversy shows the need of tools to further research and assess the benefits and costs of swidden agriculture.

This project idea will address the following research question: How do human activities interact with the ecological landscape and the sustainability of swidden agriculture?

This project idea aims to produce a simple, preliminary model with the following components:

  • A simplified social network of swidden farmers exchanging agricultural labor, inspired by Downey (2010)
  • A landscape in the form of a 2-D grid in which cells are patches of forest / crops

Possible model outputs include:

  • Yearly harvest
  • Biodiversity
  • Yearly biomass production in forest and fallows
  • A representative indicator of the "net production" of the complete system
  • Sustainability of the complete system

Biodiversity, biomass production, and sustainability will need reasonable, simple definitions that follow modern literature on the subject.

Software and language

Open to discussion. NetLogo might be an option that fits with our reduced calendar. Git and GitLab would be used to manage the source code.

Group contact

Fabio Correa <facorread@gmail.com>

Interested participants, please sign up below

  • Julia Adams

Modeling a City ('s Traffic?) In-Silico

Summary

I have a few datasets laying around that I cleaned for my thesis (and I’m not using for that purpose) and a few more that I obtained but never cleaned. All of them are data for the city of Madrid (Spain) on various geographical and time scales/resolutions, most of them related to social/environmental/demographic variables.

The one I’m most interested in using (and I have not cleaned yet) is a dataset of traffic intensity in Madrid. This uses sensors placed in most traffic lights (~3600), and the dataset provides count of vehicles (and associated % capacity used) every 15 minutes, from 2013 to March 2016. Some of the data is messy (but they have a flag for unreliable data). This data is freely available at datos.madrid.es (look for “intensidad de trafico”).

Not sure how to insert an image here, but here's a link to a plot created with 45 days of this data on a single intersection. You can guess when the Holy Week and Holy Thursday/Friday happened this year: here

I somehow have the sense that using this data may be a cool experience, but I have not figured out yet what to do with it.

I have cleaned data on sociodemographic/socioeconomic characteristics at the census section level (~1500 people), geocoded commercial spaces data and more stuff that we can add to this. This also includes historical data on all properties (including houses, commercial spaces, etc.)

Contact me (or talk to me anytime!) if you are interested or want to discuss some ideas! Usama Bilal <ubilal@jhmi.edu>

Interested please sign up below

  • Ellen Badgley - I'm interested but don't have a question to go with this yet - will think about it more!

Data Sets

MITRE Data Sets

The two data sets we have access to are Defense of the Ancients 2 (DOTA 2) and Polish Power grids. To access the data please contact Juniper she has it on a hard drive. If you have any specific questions about the data you can contact Matt Koehler at mkoehler@mitre.org. (Ellen at the CSSS (flyingrat42@gmail.com) can also answer some of the DOTA 2 data questions.)

DOTA 2 DATA OVERVIEW

MITRE Challenge Questions and Powergrid Data Overview

MITRE Challenge Questions Overview