Category Archives: Global Systems Science

Evidence Based Policy

Dear Colleagues,

I want to make you aware of a very interesting post discussing the issue of evidence-based policy by using the example of hurricane Sandy.

Here comes my appetizer from the post:

“As a case study in the application of “evidence-based policy” you won’t find a better one than the hurricane deductible. Sometimes “evidence” matters, sometimes it does not. Sometime we care about whether it matters, sometimes we do not.”

And here comes the link:

http://rogerpielkejr.blogspot.com/2013/02/interesting-update-on-sandy-hurricane.html

Hope and Fear

I very much enjoyed Brad’s talk yesterday. I understand that he put forward the hypothesis that in recent years, typically two means were combined for making the public aware of an issue:
i) oversimplify the issue;
ii) dramatise it as an essential threat.

For quite some time, I have been wondering whether this is the only way for achieving public awareness, and whether it is a good way of actually addressing an issue of concern.

I think just threatening people is sub-optimal. Hope is a much more powerful incentive than fear, at least I think it is a more sustainable one. Or, in a more moderate tone: When fear is balanced by hope, one can mobilise people much better.

As a child of the cold war, I want to refer to two historical cases:

1. The cold war in general. At one hand, there was the Sowjet threat. On the other hand, there was a great vision: Freedom and prosperity for all nations.

1. The Sputnik shock. At one hand, it was the Sowjet threat that mobilised forces. On the other hand, Kennedy reacted by proposing an inspiring vision: Bringing a man to the moon.

It may sound strange when I speak about the spirits of the 60s, as I was only a child in those day. Nevertheless, being born in 1962, I still experienced the mood of the day, i.e. what I perceive as the last period in Western history of a fundamental and widespread hope that things will, overall, be ever improving. This mood gave way to the despair of the 70s, at least this is how I experienced the 70s.

If my analysis is right, there is a lesson to learn for the sustainability community. At least I try to lead by example and highlight the possibilities that lie ahead instead of threatening people into action.

I am curious about your opinion on all this.

The Next Enlightenment

Dear Colleagues,

I want to build on what I have voiced yesterday when speaking about the need for a next enlightenment. As I have indicated, I think that we need to help people educate themselves about how to deal with large scale uncertainties.

There are several issues I would like to highlight:

– I have consciously phrased above “help people educate themselves”. This refers to Humboldt’s idea that it should not be academics who educate scholars, but human beings who educate themselves. It also refers to Humboldt’s idea that education is not identical to training people in specific professional skills, but means to grow as individual and become a person who is able to use her reason without external assistance. Clearly, this refers to Kant’s concept of enlightenment.

– I think that one of the biggest challenges for policy- and decision-makers is dealing with large scale uncertainties. Just developing some fancy tools that build on today’s risk tools will not do the job as today’s risk tools are severely limited. Many of them build on the frequentist notion of probability. They do a reasonable job when a sufficient amount of data is available, and when one can expect that the system that generated this data will not undergo substantial changes.

– For many global systems, we expect them to undergo substantial changes in the future. These changes will “devalue” the data from the past and subsequently devalue risk tools that need past data for projecting future risks. Instead, we need concepts and tools that help us build expertise about global systems, their future dynamics, and the uncertainties involved.

– Quick fixes will not do the job. I expect that we will need a further “round” of the enlightenment, which I like to denote as enlightenment 2.0, and which I expect to last for another 250 years. If, in 2250, we will have accomplished a decent job in dealing with global systems, more challenges will await us. Enlightenment 2.0 is only the next step. But as the Chinese say: The longest journey begins with the first step. I suggest to make the second one.

ASU workshop Feb2013 -Territorial vs functional patterns

Global Systems Science: Territorial versus Functional Patterns

Arizona State University, February 25/26

Dear colleagues,

Here it goes some presentations and pictures from our very exciting workshop here in Arizona, more comments, reactions and presentation will follow soon.

There was a lot of good discussions and I will not try to summarise that, but for your interest you may want to have a look at Stefano presentation on a posible tool which could act as at early warning system for global financial systemic vulnerability as very good example of future GSS tools and methods.

All the best,

David

Presentations:

 

Stefano Battiston

Colin Harrison

Saini Yang

J. David Tabara

Qian Ye

 

 

 

 

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Research priorities from the workshop

1. We need a crisper definition of what we mean by GSS. All new fields suffer from this problem, but a first step to establishing GSS as a valuable new approach to solving global problems is to be able to explain concisely and in plain language what it means and intends.

2. Phenomenology In my experience it is hard to get modelers out of their offices, but frankly we have little structured understanding of what goes on in cities and this is most likely going to require a small army of Jane Jacobs’. The goal of this work is to develop archetypes of patterns and principles that can be refined over time by validating them in Big Database. I do not believe in simply collecting Big Data and then hoping that the data mining tools will find these patterns for us without any guidance.

3. I found the debates about how GSS will sort out the massive problems of global financial, governance,, climate change, and a few other problems to be very inspirational. I am sure we would all love to see these problems solved. But I generally encourage learning to walk before engaging in hyper-marathons. These problems have been around a long time and many very bright people have worked hard to solve them. Why should anyone believe the GSS can succeed where they have failed? We need some proof points based on tackling smaller but still quite important problems. There are many of these.

4. I was surprised that no one spoke about supply chain networks or more generally the ecosystems that bind multiple players together into industrial systems. These systems are rather invisible but have direct impacts on our lives when things go wrong, e.g. the Tohoku EQ, Hurricane Sandy. These are also the cradles of industrial innovation as networks are disrupted by new members or new technologies.

Workshop on Territories and Functions started

We are starting to work on this right now, and as usual will use the blog as a platform for discussion. Some background for the workshop is to be found in the post “Starting a GSS reading list”, and there in particular the paper “Algorithms, Games and the Internet” by Papadimitriou. The internet – which includes the users! – is a paradigmatic example of a global system, and studying it by means of iterated games in large populations with randomized matches between players – which include computers ! – turns out to be a very fruitful approach. Remarkably, the same approach makes a lot of sense when studying markets, including the marketplaces that play an essential role in the dynamics of the global urban system.

Some pointers regarding Tuesday AM discussion (posted by SB)

– Discussion about how shocks can get amplified in a network economy
Bak, P., Chen, K., Scheinkman, J., Woodford, M., 1993. Aggregate fluctuations from independent sectoral shocks: self-organized criticality in a model of production and inventory dynamics. Ricerche
Economiche 47, 3–30.

– Related to this. Is there any cascade model of how the subprime was able to trigger the financial crisis? One argument is the following: the subprime market volume was very small compared to the overall global financial assets. However, there has been a building up of instability due the fact that risk associated with all mortgages related securities had been underestimated. The default of subprime mortgages triggered a shift of beliefs in the market players regarding a much larger portion of the market.