semeiotica
evolutionary design ecology

Archive for cybernetics

Decision making and climate change

This is one of the best popular articles I have read on the psychological factors affecting individual and group decision making in complex, high-stakes uncertainty. The focus of this article is on climate change, but the implication can be translated to other problems just as easily. This is simply because of the scale and the way that problem itself is generated. The scale is large and usually prohibits people from seeing the impacts of decisions, while it is also caused by many individuals making choices that contribute to the problem.

It amazes me that in all of the discussion documented in the article, there is never a mention of designers, artists, or any other such expertise that actually spends the majority of its effort on communication, messaging, experience design, and the use of sensory mechanisms to motivate behavior. It makes me sad that there is the recognition that, when it comes to communication, it’s always about the researchers doing the communication. This can be improved, yes, and there are also many design-thinking guidelines one can pull out of the article. How many can you spot?

The Green Issue – Why Isn’t the Brain Green? – NYTimes.com.

You are here.

A letter to this week’s Nature describes a study that reveals an interesting model of human movement patterns. The study is the first of its kind for the simple reason that the researchers were able to objectively track people in the natural environment by using mobile phone locations as proxies for their movement.

location tracking phone
Biologists have been performing similar studies on animals for years, using radio tracking devices and similar forms of locations awareness. However, because people tend to be difficult to keep track of, subject to influence from experimental methods, and resistant to monitoring by others, it has been previously difficult to get this kind of accurate data about humans.

Without recapping the study itself (you can read the original abstract and related news stories from the links below), there are many reasons why these data are interesting and useful. The least of which concern us with how people behave and how their behavior translates into public health practice, urban planning, education and communication. For me, the most interesting questions come when we understand what kinds of heterogeneity exist in populations. Understanding what motivates people to behave and respond differently is curious, especially when it relates to their cognitive capacities, their environment, and their learned behaviors. Thus we can begin to ask questions about how systems like architecture or policy, at very different scales, affect systems at other scales–like human reproductive choices for instance.

This study demonstrated that people aren’t really all that interesting in the movements, which is to simply say that we are predictable. We generally stay close to home or work and move in small bursts around these areas most of the time. Occasionally we make wider forays across the landscape.

There are privacy concerns to be negotiated. Many have been critical of the use of this information for the study. To my mind I don’t find the use of the data in the current study problematic for two reasons: 1) there is no identifying information available in the data, and 2) the mobile phones companies have been collecting this data, often out of legal obligation for billing precision, and using it for proprietary purposes with contractual consent from subscribers. I think it is important that some public good be made of the information, even if it means simply bringing to light the fact that these kinds of data are ubiquitously collected under the terms of cell phone contracts. Furthermore, a sample of people in the study explicitly consented to having their movements tracked as part of a value-added service, associated with navigation or weather for example.

Still, the study raises questions and begs for further social questioning and negotiating. I think where it starts to become problematic is when these studies begin to impede personal autonomy. Then again, the negotiations are where all the fun is…

Gonzalez, M. C., Hidalgo, C. A., & Barabasi, A. (2008). Understanding individual human mobility patterns. Nature, 453(7196), 779-782. Retrieved June 7, 2008, from http://dx.doi.org/10.1038/nature06958

BARABÁSI LAB

For a rundown on how the press is selling the story-via Google

Cellphone Tracking Study Shows We’re Creatures of Habit-NYTimes

Cell phone users secretly tracked in study-CNN

How Will Disease Spread?-ABC News

Mobile phones expose human habits-BBC

3.5 billion mobile sensors: opportunities for public health research

Mobile Technology for Social ChangeThis is an interesting report I came across from a UN-Vodaphone partnership designed to provide “research and recommendations on how to use technology and telecom tools to effectively address some of the world’s toughest challenges” (found via THDblog)

The story I was most interested in was Case Study 10: Environmental Monitoring with Mobile Phones (Ghana) carried out by Intel Research. I was struck by this paragraph, detailing the convergence of locative sensing and personal health status:

Another area for further exploration is the ability of mobile sensing to contribute to public health by linking health with environmental factors that have not been available before. For example, even though we know that there is a link between asthma symptoms and air pollution, previously it was not possible to directly correlate an individual’s symptoms with their exposure to air pollutants. Measuring people’s lung performance while measuring ambient air pollution exposure could shed new light on the links between air pollution and asthma, perhaps resulting in better treatments.

Clearly there are many thorny privacy concerns, but that’s the difficult (and fun) part to work out and begin to address.

Still, I think this example is on the mark in trying to link infrastructure, natural or man-made and population health patterns.

Vision for Future Interactions

I was up this morning thinking about the kinds of spaces, communities and interactions I would like to see.  Somewhere between physical computing, synthetic biology, evolutionary ecology, and design is a space where species can speak and be recognized by each other, where urban infrastructure becomes adaptive in the space of days and not decades, where the threshold of difference is lowered to such a degree that new networks between otherwise unrelated groups and individuals can find common ground.

Perhaps for the first time, I am beginning to see how things can be connected for the purpose of builing empathy.  Whereas previously, I think the difficult work of etting to know a species was largely out of many peoples’ desires and time banks, perhaps there are now ways of making the opportunities both immediate and resource-efficient.

Rather than always seeking to decouple tightly-linked host-parasite relationships, can we find ways to make new ones…perhaps ones that can grow into mutualisms and symbioses?  Is hardwiring a step in the process?  What are the costs, benefits, sources and sinks?  Can we create or link networks of co-dependence?  What models of covariation should we adopt: linear, dominance, epistatic, topological?

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