Scientists on trial

Last week my newsfeed blew up with reactions to the conviction of seven scientists for manslaughter. As I wrote about last summer, these scientists failed to predict an earthquake in Italy. Many people, especially my scientist friends, see this as an attack on science and scientists who, it seems from this perspective, should be let alone to do their work without political interference or, worse yet, fear of conviction. But as you might expect, I argue that we need to look at the social side of science. Scientists don't operate in a political vacuum  and as we see here, there are very real consequences from the muddled interaction between scientists and policy-makers. To re-paraphrase Sheila Jasanoff, "Scientists have become arrogant, and have not explained to the people why they deserve support... The Enlightenment was not a historical event. It is a process, a mission, a continuous duty to explain yourself.”

For another interesting perspective, check out Dan Sarewitz writing for CSPO's new blog, "As We Now Think."

Climate change adaptation: local to global

Some of you may have already read this- I posted it on my facebook last spring. In a few weeks I'm giving a lecture to the environmental ethics class I TA based on this topic, so I thought I would reshare it!

Climate change adaptation is a current impetus for decisions that will result in profound changes in both agricultural landscapes and social systems, although as Stephen Lansing argues, “Agriculture, in short, is a social as well as a technical process” (Lansing, 1991, p. 6). Sustainability, which we have identified as having social, economic, political, and environmental elements, is deeply connected to climate change adaptation. What I will explore today is the nested system of decisions related to climate change adaptation. Who makes decisions at each level of adaptation, and what might the consequences be?

One of the challenges of addressing climate change impacts is of scale. Climate change is viewed as a global issue with local impacts. Pielke Sr. et al. write that, “The IPCC and U.S. National Assessment reports start from a large global perspective and work to downscale to regional and local impacts” (2007, p. 235). For example, countries like Bangladesh are predicted to be hit hard by climate change, due to both physical (low-lying coastal country) and social (highly dependent on agriculture, pervasive poverty) vulnerabilities. Some of these vulnerable countries are the least able to prepare for climate change impacts. Thus, we tend to imagine climate change adaptation in hierarchical terms.

At a global level, decisions had until recently revolved around climate change mitigation (lessening greenhouse gas emissions), but a new paradigm of climate adaptation as a moral obligation of international development is forming. Developed countries can contribute money and expertise to developing countries that are vulnerable to climate impacts. Countries and regions will have to decide what sort of local policies might be enacted to deal with climate impacts: perhaps strengthening adaptive capacity through economic empowerment of people in poverty, or preparing for the social and political ramifications of “climate change migration” and “environmental refugees.” On a local level, however, farmers might face more immediate questions like: what environmental changes will I see this year? What crops should I plant? The top down notion of adaptation sees solutions like modeling regional impacts of climate change and developing “climate-ready” crops as desirable.

We tend to think of farmers as rejecting change-- for example, we perpetuate the ideal of the American heritage family farm. However, agriculture has radically changed over the past century in both developed and developing countries. During the Green Revolution, farmers rapidly adopted new agricultural technologies and land management practices, despite the negative social and environmental outcomes sometimes associated with these. Perhaps in less-developed countries like Bangladesh, rather than prescribing a future based on assessments of current technologies, local knowledge could be incorporated into higher level decision-making.

Works cited:

Intergovernmental Panel on Climate Change (IPCC), 2001. Third Assessment Report Glossary. P. 365.

Lansing, Stephen, 1991. Priests and Programmers: Technologies of Power in the Engineered Landscape of Bali. Princeton: Princeton University Press.

Pielke, Roger A., Sr., 2007. A new paradigm for assessing the role of agriculture in the climate system and in climate change. Agricultural and Forest Meteorology 142, 234–254.

Conferences and sociotechnical systems

Flying is a constant, necessary (in)convenience in my life. While it’s great being only a 4-hour flight away from Michigan when I’m in Arizona, the endeavor requires careful planning, packing, arranging, and management of every little detail from my laptop’s battery life to remembering to drink water. I’m doing a lot of flying this month, and just got back from the joint conference of the History of Science Society, Society for the History of Technology, and the Society for Social Studies of Science. As a consequence of all this talk of science and technology, I can’t help but begin to see everything as “socio-technical system.”

If you’ve seen the movie “The Matrix,” you have an idea what graduate school is like for me. There’s a Facebook page for one of my advisors, Dan Sarewitz, that jokingly asks,

- Are you unable to sit through a traditional biology/chemistry/physics/engineering/economics course without constantly contemplating how your professor managed to "drink the kool-aid?"
- Do you constantly remind yourself that your science professors are but tiny cogs in a global innovation machine?
- Are you unable to look at a tomato without thinking about science, politics, labor economics, sociology, anthropology, Michael Crow, agriculture, geopolitics, innovation systems, the University of California, and climate change?
- Does the mere mention of the "linear model" make you shudder?
- Are you unable to synthesize your views on climate change in less than 5,000 words? 

If so, you are probably a former student of Dan Sarewitz. You will never hold a mainstream academic position, and your peers (and the public) will never quite be sure what your "deal" is. That's what you get for taking the red pill.

Yep, that sounds about right.

A major project of the science studies is to give social, historical, and political context to the technologies we use in our everyday lives. For example, I’m reading a book by Maria Kaika about urban water infrastructures. We don’t really think about where our water comes from every day. We turn on the tap and expect water to be there (in the Western, developed world, at least). What we don’t think about is what it takes for that water to get there and for an assured, constant, and instant supply of water at our faucets. During the rare times when the tap might go out, we get a profound sense of “uncanny” because our expectations are suddenly jolted as we realize water doesn’t just appear form the walls. The author writes about the hidden infrastructure of urban water. For example, let’s say you visit a dam someplace out west. We don’t really connect this with out water supply, and also the enormous amount of energy needed to move water from the source to tap. All of this is hidden from view and out of mind. Kaika argues that this is because of the artificial divide between “wild” nature and the sanitized urban home. So here we have not only a sociotechnical system, but a socio-technical-environmental system.

Back to airplanes, since I’m actually writing this on the plane! Airplanes, and the process of air transportation, are a more visible form of sociotechnical systems. We stare in awe at the massive planes used for transcontinental flights. But from the second you walk into the airport, you become immediately aware that you are part of a finely tuned system of both humans and technologies. We are enrolled, inspected, standardized, and shuffled into our seats. Usually everything goes well, but today after our flight landed, the electricity went out as we were leaving the plane. This was also an example of “uncanny,” even though it is a more visible system. We can see the nuts and bolts of the plane (and don’t get me started on rivets… we read a painstaking paper last semester about the technological innovation behind airplane rivets), but we still expect everything work.

Think about the complex and heavily embedded system behind energy extraction and production, and the technological disaster that this has caused. These aren’t just technological disasters though, they are most definitely sociotechnical disasters. It’s crucially important to realize that humans design, maintain, and run these systems (to the extent that we have control). But inevitably, tightly coupled systems, such as energy, increase the severity of human error and technological failures. The take home message is that we often don’t notice sociotechnical systems until they fail.

UPDATE: Here's a great link via Arijit on the nation's water infrastructure being ignored.

Science policy communication failure costs lives

Image source.

A recent issue of Science magazine features a news article about seven scientists in Italy who are facing manslaughter charges for not predicting the danger of an earthquake that killed 308 people. The scientists were part of a risk committee of earth scientists who testified that incipient tremors were not evidence of an oncoming earthquake in 2009. According to Science, “They agreed that no one can currently predict precisely when, where, and with what strength an earthquake will strike” (3 June 2011, p. 1135). These are all accurate statements, from a scientific point of view. But the problem lies in translating these statements for decision-makers and stakeholders, which includes people in the town of L’Aquila, Italy.

The lead scientist “maintained that he and his scientific colleagues had a responsibility to provide the ‘best scientific findings’ and that it is ‘up to politicians’ to translate the scientific findings into decisions” (Science, 3 June 2011, p. 1136). This is the linear model of science policy at its worst, literally costing lives because of the mismatch of science and policy risk management paradigms, or as Cash et al. (2006) describe, the “loading dock” model of simply delivering scientific results and hoping that the public sphere will pick them up and use them. To the scientists, risk and uncertainty are quantifiable metrics that are difficult to translate into social action. To decision-makers and the public, risk is a socially mediated, multidimensional value that depends on more than just probabilities. Uncertainty has been a traditional sticking point in earth science and policy topics such as climate change. However, Cash et al. (2006) demonstrate how bringing together scientists and decision-makers from the beginning helped improve the utility of climate models for end-users. They write, “Scientists began to understand that managers were comfortable making decisions under uncertainty, and managers began to understand the concerns scientists had about making scientific claims in the face of uncertainty” (Cash et al., 2006, p. 482). This was clearly not the case with the Italian scientists and decision-makers.

At first glance, this case provokes outcry from scientists afraid of losing the public’s trust and being put on trial, literally. While it may be presumptuous to actually put scientists on trial for a failure to dialogue with decision-makers, this puts into question the implicit “social contract of science” that has justified basic scientific research since the end of WWII. Sheila Jasanoff told a group of ASU graduate students last spring that, “Scientists have become arrogant, and have not explained to the people why they deserve support... The Enlightenment was not a historical event. It is a process, a mission, a continuous duty to explain yourself” (personal communication, 11 February 2011; not an exact quote, but very close). Jasanoff lays out an alternative claim to the linear model of science policy that she calls “technologies of humility” (2003). In contrast to calls for “more science” to reduce uncertainty, Jasanoff writes that, “what is lacking is not just knowledge to fill the gaps, but also processes and methods to elicit what the public wants, and to use what is already known” (2006, p. 240). The abstract of her paper states, “governments should reconsider existing relations among decision-makers, experts, and citizens in the management of technology. Policy-makers need a set of ‘technologies of humility’ for systematically assessing the unknown and the uncertain” (Jasanoff, 2003, p. 223). Jasanoff and other Science and Society scholars have been writing about the failures of the linear science policy model in predicting risk since the 1980s, when the risk-management paradigm began to crumble in the wake of seemingly “unpredictable” human-technology-based disasters like Chernobyl. Today we face critical policy issues from climate change to toxic chemicals that fundamentally depend upon and understanding of environmental science, but just understanding the science is not enough. We need a new model of science policy that incorporates the needs of decision-makers and stakeholders from the start, not after it’s too late.

Sources:

Cartlidge, E. (3 June 2011). “Quake Experts to Be Tried For Manslaughter.” Science, 332, p. 1135-1136.

Cash, D.W., Borck, J.C., & Patt, A.G. (2006). “Countering the Loading-Dock Approach to Linking Science and Decision Making.” Science, Technology, & Human Values, 31, p. 465-494.http://sciencepolicy.colorado.edu/students/envs_5100/Cashetal2006.pdf

Jasanoff, Sheila (2003). “Technologies of Humility: Citizen Participation in Governing Science.” Minerva, 41. 223-244.http://sciencepolicy.colorado.edu/students/envs_5100/jasanoff2003.pdf

Further reading:

Sarewitz, D., Pielke, Jr., R.A., & Byerly, R. (editors) (2000). Prediction: Science, Decision Making and the Future of Nature. Washington, DC: Island Press. Available at: Google books, Amazon.com