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What is ResilScience?

I have the privilege of speaking at the 50th Anniversary celebration for the Disaster Research Center at University of Delaware. As part of this event, each speaker was asked to write a 1000 word thought piece that the disaster research community could read and comment on in person and on the DRC’s website. Although my paper is posted on their …

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Power Restoration: What’s Fast Enough?

Have you ever had the power go out at your home or your place of work? I think everyone’s hands go up at this question. What’s the longest you’ve gone without power? You in the back: 13 days?! Wow. Personally, I’ve never gone more than a day. I’ve met the people who restore the power …

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Rolling the Dice to Simulate Resilience

So far I’ve written one or more posts about representing community resilience conceptually (and many other posts), quantitatively (and this one), and visually (and). I haven’t talked about how one might go about algorithmically representing resilience—loss and bouncing back from that loss. None of those other representations allow you to pose “what if” questions and simulate the answers to them. How fast is …

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The Calculus of Community Resilience

Bruneau et al. (2003), as well as many great studies based on their formative ideas, define metrics of resilience based on the area under the curve representing the quality or quantity of some indicator over time. (Technically, they define resilience based on the size of the “resilience triangle” above the curve—see their Figure 1—but the …

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SCIRTing the issue of Canterbury infrastructure recovery

I just returned from a trip to Canterbury, New Zealand as part of a project between the World Bank and EERI, which I mentioned here. The objective of the project is to research how and whether recovery after the February 2011 earthquake reflects the concept of “build back better.” In interviewing stakeholders, we were focused on the three most impacted sectors: …

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San Francisco’s 1906 Identity Crisis

At the Natural Hazards Workshop this year, Daniel Aldrich gave a keynote talk about his findings from researching correlations between various variables and community recovery from disasters. In particular, he focused on his awesome empirical study of Kobe’s recovery from the 1995 earthquake. (While its not relevant to this post, he found that proxies of social capital had the greatest …

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Speak tweet to power

I am on a plane returning from New Jersey where I was attending a workshop hosted by the Kostas Institute. It was supposed to be a workshop to synthesize lessons on transportation resilience in light of Hurricane Sandy’s impact in New York and New Jersey. Many, if not most, conversations would actually turn to power systems–how …