The Institute for the Future’s (IFTF) 2010 Map of the Decade is part of their annual Ten-Year Forecast which uses foresight and scenario planning to help organizations navigate change. Entitled “The Future is a High-Resolution Game”, the research materials demonstrate the re-emergence of games as a systematic process for positive change.

Map of the Future

One key in making these translations is the ability to connect macro level processes to micro level behaviors – and everything in between. IFTF took a different tactic towards games as a tool for their 2010 map of the decade, and I think it helps move us in that direction of positive change.

IFTF has been at the forefront of what some call gamification – the systematic use of game mechanics for the development of positive psychology, practice, action, and cooperative dynamics. As IFTF’s Director of Game Development describes, games are put together with a goal, rules, a feedback system and voluntary participation. So it’s pretty easy to see how game mechanics can connect with operational challenges such as problem solving, productivity, and personal growth within organizations.

Critics argue that in most organizations and real-world situations things are pretty fuzzy, conflicted, and confusing. Agreeing on goals, rules, feedback systems, and participation can be difficult obstacles to begin with. But I think that is why games are tools that help us move in positive directions. We don’t often want to spend too much of our time arguing over goals; we’d rather just get on with it, play/work hard, and feel good about what we accomplish.

Th polling organization Gallup conducts surveys among employees every year across thousands of organizations worldwide asking hundreds of questions. THREE of those questions where employees responded positively turn out to be the largest human factors for organizations that are successful.

1. I have a commitment to quality.
2. I know what my job and/or role is, and
3. I trust my leadership.

Organizations are set up to accomplish a wide array of highly-complex tasks. No one person can keep track of everything. So in order to get things done, people have to simplify their overall cognitive load. They have to eliminate many conflicts and sources of confusion to deal with what they know and how it relates to new challenges. Game mechanics (goals, rules, feedback, participation) can be vectors for the above three factors, and more importantly they systematize them within organizational processes – something good human resource departments struggle to do everyday.

Think about it. I trust my leadership so I don’t always need to reevaluate the goals. Check. I know what my role is so the rules are clear. Check. I have a commitment to quality which means that I show up to participate and when I get feedback I self-correct to improve what I’m doing. Check.

I think the differences there have a lot to do with focus – of setting priorities and knowing what to spend one’s time on – especially when things go awry. We often get distracted, but even when we don’t human, social, and technological systems are always out of sync. Sometimes they connect and we may even experience periods of intense connectivity, creativity, and productivity. Albert-Laszlo Barabasi calls these bursts. So I suppose one of the benefits of the scenario platform IFTF uses is its ability to concentrate social interactions to achieve these bursts. We always need some latent time to process, connect, and search further. Maybe that’s why IFTF does the Map just once a year

One element of IFTF’s Map of the Decade is “The Happiness Kit”. It’s a platform for helping people ruminate on the kinds of transitions that could lead to more happiness in the world. There are a few standard tools of the foresight practice included like writing headlines from the future to identifying events that might shape or be shaped by the trends. There are also points where participants can identify new services, communities, and practices.

In science and technology sociologist Bruno Latour’s book Reassembling the Social, he looks specifically at groups, actions, objects, and facts as sources of uncertainty in the emergence of new technologies or innovation paradigms. These highly social elements tend to reveal themselves when controversies emerge. They help shape our future when, for example, a nuclear plant melts down and new groups, objects or facts insert themselves into society. Most recently at the Fukushima nuclear plant, it was formerly an established fact that the leaked radiation was 10% of Chernobyl disaster. Now as a society we are learning much more about nuclear radiation leakage models and their diversity when it is revealed that two different groups used two different models. The fact has been revised to 20%. We also know much more now about the safety mechanisms at nuclear facilities, especially the roles of strange monsters like emergency generators, vents, and containment vessels. Groups we never really paid attention to, methods of establishing facts, and objects with strange names all the sudden appear as important factors for how we think about the future. Kits like the IFTF Happiness Kit help us by working through some of them before they emerge from other events.

The kit also works to identify the actors involved in these transitions – as well as the distribution of those that are happy and those that are not. Understanding the distribution and abundance of elements in a system is important when we consider that rare things may become more prevalent and ubiquitous things sometimes disappear. William Gibson is famously quoted, “The future is already here — it’s just not very evenly distributed.” As we consider technological diffusion, development, and knowledge-networking, one of the questions we have to ask is how the future can be more evenly distributed. I’m not sure I know the answer, but I think that getting more explicit about the social-technological-ecological networks that individuals live in can help. This graph of system elements in a rural farmer’s immediate grasp might be one step towards understanding, for example, the diffusion of organic farming methods and how they interlink with new sources of income and time for alternative activities.

Overall the thing I like the best about the map of the decade is its ability to use foresight methods while leaving open space for individual interpretations. Some scenario techniques can lead to overarching narratives which create sources of bias. In IFTF’s platform, it appears that participants are encouraged to apply the trends to their immediate organizations and processes (although I cannot be sure since I’m reading the product and not the use-context). My sense is that it’s more of a constructionist approach than the methods used by Royal Dutch Shell or the Global Business Network (for a critique see: Wright 2004; pdf) which define opposing axes and use those for story generation. The way IFTF does it is to throw out a variety of results, new ideas, patterns, and processes – allowing users to pick and choose where to apply them. It’s a more humble approach (if I may say so) that stems from the simple proposition that we can’t really predict what is going to happen and neither can we take everything into account. The point is attenuate our mental models towards things that we think will matter – so that when they become relevant – we notice them.

Still I think there are opportunities to bring greater resolution and hence greater relevance to the process. While the Map of the Future helps deal with actors and events, I think it gets less explicit in areas that matter a lot. More important than who or what is why. The goals that actors have lays out different sets of procedures for attaining those goals. So it’s important to demonstrate how goals and the ways that actors achieve those goals converge on other elements. For example, resources and boundaries are areas that can undergo rapid restructuring or remain relatively stable over time. Helping people make explicit predictions about the direction and magnitude of these changes is helpful for understand the complex dynamics of interacting systems.

Similarly, rules, conflicts, and the outcomes of conflicts are specific pivot points for change. What helps us navigate change well is being able to understand the implications on all side of those transformations. Whiles rules, conflicts, and outcomes are somewhat embedded in the IFTF process, how can we support thinking about how they would change and what changes they would bring in turn to the procedures or boundaries shared by different actors?

I think these additional elements can be added to these types of foresight exercises with little additional cost. And they yield a huge benefit of allowing the results and products of foresight exercises – namely the knowledge generated – to be transferred to the engineers that develop computational simulations. Actors, Goals, Procedures, Boundaries, Rules, Resources, Conflicts and Outcomes are all the basics of putting together agent-based simulation models that allow us to look at the interactions and assumptions of our exercises and turn it into sustained practice.

After all, wouldn’t it be really cool if the Future WAS a High Resolution Game?

You can find the Institute for the Future’s Research Materials in their online library. Plus it has really good graphic design — yea!

Mountains and Landscapes as Heuristics

His resulting description of these threads set the stage for qualitatively different perspective on the evolutionary process.  Wright described his perspective as a “shifting balance” model of evolutionary change, and it highlighted the role of small populations in the transitions between periods of high and low fitness.  This pattern, which followed from his use of the term “drift”,  describes the fluctuations of gene frequencies that result from the random sampling of small populations.  This random sampling comes from mating in small populations that, because of chance, produces small deviations from the numbers of genes originally represented in the population.

Wright’s Shifting Balance perspective coincided with his introduction of the adaptive landscape as a term to describe the space in which random fluctuations of gene frequencies in small populations could push the populations away from adaptive peaks or periods in which they were reproductively successful, and which would in turn allow natural selection to push them towards new adaptive peaks – areas of differential reproductive success.

Though Wright’s perspective on evolution is controversial (in a generative way), the perspectives and tools that emerged from his ideas have endured.  For example, Wright’s work preceded algorithmic approaches to optimization problems in mathematics, networks (traveling salesman), metallurgy (simulated annealing), and artificial intelligence – to name a few

The process of Shifting Balance is described as a series of three dynamic phases:

Phase 1, the exploratory phase, the action of small groups explores new combinations. Most stay on the suboptimal fitness peak (reasonably successful), but some get caught in adaptive valleys (unsuccessful).

In Phase 2, selection causes the groups that are in the adaptive valleys to move toward new, higher-fitness peaks.

Finally, in phase 3, groups at higher fitness peaks send off migrants helping other groups move to higher fitness peaks.

Phase 1: The Exploratory Phase

Phase 2: The Selection Phase

Phase 3: The Migration Phase

While Wright’s process was intended for population genetic systems, an increasing convergence between social processes, cognitive psychology, technology, ecology, and creative practice suggests that the concepts apply well to the exploratory, form-finding processes that precede the design and production of materials and services. The implementation of the Shifting Balance process as a analog for social and creative strategy is useful for the production of highly original and robust creative solutions – or, at least it’s a testable hypothesis.

For some, analogies between biological and social processes are difficult to comprehend.  However, the design of services and interactions is dependent on the ordering and reordering of processes, materials, people, and ideas. Combinations and recombinations of these things, when developed thoroughly and communicated, can impact the delivery and relational aspects of individuals working in cooperation or separately.

We could envision this process as a sort of charette (period of intense design in collaborative groups) activity where:

1. The exploratory phase initiates adaptive schema (creative combinations) which are driven by the interactions, specializations, and diverse perspectives of small groups;
2. Intergroup selection resulting from evaluation, the inherent heterogeneity among groups, and intended service platforms begins the iterative process of amplification of good combinations;
3. Export and translation of valuable forms/schema to other groups in order to test them against different problems, social contexts for cooperation, and consumptive patterns.

The immediate benefit of this strategy is the demonstration of expertise in practice, the role of discourse, and the chance events that can drive innovation.   Participants from different disciplines will have to opportunity to observe and engage in creative problem solving within highly diverse communities. Here the focus is on collaborative ideation followed by problem-solving across disciplinary and expertise-based boundaries and ultimately an exercise in cooperative translation, storytelling, and communication.

There is enough social scientific research to at least point to the benefit of diverse groups, although it would be worthwhile to have a better handle on an ideal number – i.e. what counts as a small population.  Plus, how do we go about choosing?  What is the process of selection…or should we instead be saying, “What is the process of attachment?”  And finally, are there specific patterns of translation or dissemination that we should aim for?  For if migrants endowed with the most successful schema do disperse and link up with others, they have an opportunity to cooperate and raise the capacity the other groups elsewhere. But through which mechanisms to we initiate and implement these processes?

There are a few other ideas that seem uniquely coupled to the Phases of Shifting Balance. An example is the goal of participation as a unique form of empowerment in community planning exercises. One particular model of participatory engagement provided by Conde et al. (2004) is used in the context of climate change planning (below).

The Landscape of Participation

This example shows transitional categories in participation. When viewed through a model of culture which emphasizes process over characteristics, these are skills acquisition categories that indicate differences with an impact on fitness – i.e. reproductive success.

Each category represents a different level of engagement, a level that itself suggests a tighter relationship between participants and the tools of participation or cooperation.

1. Informative participation is an exchange of information, which may or may not be meaningful.
2. Consultation requires that participants begin asking questions as well as providing information.
3. Functional engagement means that different participants identify and agree to share goals, thus ordering their actions in accordance with each other.
4. Interaction means the initiation of feedback, where signals and shifts in the participation is met with responsiveness and dialog with the others.
5. Self-motivated participation is demonstrated by the points at which processes are acquired and reorganized by the participants themselves.
6. Migration ultimately expands the instances of participation which have been successful, sharing them with other communities, and finding cooperative allies elsewhere.

References:

Conde, C., Lonsdale, K., Nyong, A., & Aguilar, I. (2004). Engaging stakeholders in the adaptation process. Adaptation policy frameworks for climate change: Developing strategies, policies and measures, 47–66.

Johnson, N. (2008) Sewall Wright and the development of shifting balance theory. Nature Education 1(1)

Wright, S. (1977) Evolution and the Genetics of Populations. Vol. 3: Experimental Results and Evolutionary Deductions. University of Chicago Press, Chicago.

This is short presentation I gave to the Melton Foundation’s Symposium on Innovation which was held in Bangalore in August, 2009. I spoke on Innovation in Education, coming from the perspective of someone with the aim of bridging disciplines and interpretations.

A Model of Mitochondria in the Cell

What is a mitochondrion? It’s an organelle (kind of like an organ in your body) for a cell.  They generate much of the chemical energy used by a cell to carry out its different processes.

I have been working on a project for the last few months that extends work on what I call Silking Systems. By calling it Silking Systems, I’m trying to emphasize the patterning of silk and textile production as a set of relationships, things and interactions to accomplish varieties of silk/non-silk relationships, rather than as modes of behavior or production which are static – or should I say pre-threaded?

In 2008, some of my students researched How Silk is Made (after How Stuff is Made) for my class on Design for Sustainability. Their work documents the collection and processing of the silk fiber from cocoons to the thread you find in finished textiles.

Steps to a square cocoon.

In attempting to learn about sericulture from scratch, I visited some local producers in Karnataka, India and pulled in some textual research and advice – including Joseph Needham’s classic series on Science and Technology in China (1998 ed).

The most recent concept that I want to document here is pretty simple. Human mitochondrial genome sequences are woven in sequence using silk to produce a pattern that matches the mitochondrial nucleotide patterns.

Ashwathnarayann

Checking the loom's warp.

I have a few implicit goals and a few explicit ones as well. An implicit one is that I am attempting to push the relationship between craft, production, economic agency, and hybridity. I am drawing to some extent from the idea that economic value is generated through recombination – that goods and/or services emerge and create value when they are mixtures of other (especially unrelated) things.

Transferring the silk thread for the weft from Gabriel Harp on Vimeo.

Eric Beinhocker details this concept of value through hybrids along with an evolutionary algorithmic perspective on economics in his book The Origin of Wealth (2006). The book was recommended to me by Cesar Hildago, a Research Fellow at Harvard University’s Center for International Development. Cesar’s work on complex networks has also influenced this project, starting with his article on the Product Space of Nations (2007) and continuing with images like figures 1 and 2 which came out of his research. The network graphs make it easy to see how different economies differ in the products they export.

Fig 1. This image maps the products produced by the United States in 2000. The squares are things they are good at – in the US's case vehicles, chemicals, forest products, for example.

Fig 2. This image maps the products produced by India in 2000. The squares are things they are good at – in India's case textiles, chemicals, and diamonds, for example.

My thinking is that by challenging some aspects of the status quo in silk and textile production, new value propositions might be found. This comes, perhaps, by demonstrating that square cocoons are possible or by remixing molecular genetics and weaving to create a series of silk stoles based on a mitochondrial haplotype found frequently in southern India.

Preparing the shuttles from Gabriel Harp on Vimeo.

Another goal is to simply visualize the mitochondrial genome – and to make it as accessible for teaching and learning as possible. Making it tactile and making it in silk allows people to touch, feel, and to see individual sequence variation. Silk thread is a good scale for this sort of thing – not too small and not too big either. So in viewing these stoles (which measure about 5 meters each in length) one is challenged to look for patterns and they are rewarded with the same.

The mitochondrial sequence used to produce the pattern next to shuttles that carry the silk thread through the warp.

Weaving silk using a mitochondrial sequence from Gabriel Harp on Vimeo.

Checking and threading the warp. You can see the silk fibers and how thin a single one is. It takes years to master silk weaving because it is a very delicate and dexterity-rich process.

Finished pattern stretched on the loom.

I’ll expand this article as the project develops further, but I’ll end now with one nagging curiosity. The pattern that is being produced is engaging and pleasing. It makes me wonder if it in some ways exploits a bias we humans may have towards certain arrangements. Specifically I’m thinking about pink noise patterns…but I need to search more.

References

Needham, J., & Kuhn, D. (1988). Science and civilisation in China: spinning and reeling. Vol. 5. Chemistry and chemical technology. Pt. 9. Textile technology. Cambridge University Press.

Beinhocker, E. D. (2006). The origin of wealth: evolution, complexity, and the radical remaking of economics. Harvard Business Press.

Hidalgo, C. A., Klinger, B., Barabasi, A., & Hausmann, R. (2007). The Product Space Conditions the Development of Nations. Science, 317(5837), 482-487. doi:10.1126/science.1144581

Disaggregation among natural and social scientific communities can lead to misunderstandings about the different components of disaster management and  socio-ecological systems.  Terms like resilient, adaptive, robust are often used to describe systems and their processes and come up in the literature, policy, and the media very frequently.  They have catch my attention because they have different use patterns in the field I know a little about: biology.

Adaptation, coping, resilience, and robustness have similar definitions, but they sometimes have different technical definitions across disciplines. Their different meanings contribute to their value, and they highlight the differences in perspectives that each scientific community contributes.  However, the details matter for distinguishing important components of systems and what aspects might be suggestive for new insights or that might be responsive to intervention or assessment.  It’s also important to establish common ground meanings when communities get together and work towards common goals.

There is a benchmark article Resilience, Adaptability and Transformability in Social–Ecological Systems that does a much better job at pulling together the literature than I do here, and I came across it after writing much of what is in this article.  It is also the narrative used by the Resilience Alliance for their activities.

The following represents some of my notes and thinking as I try to sort out the definitions on my own.  For me, it means asking how different perspectives contribute to the ways in which we interact in socio-ecological systems.

Adaptation
The Intergovernmental Panel on Climate Change (IPCC) 4th Assessment Report defines adaptation as:

Initiatives and measures to reduce the vulnerability of natural and human systems against actual or expected climate change effects. Various types of adaptation exist, e.g. anticipatory and reactive, private and public, and autonomous and planned. Examples are raising river or coastal dikes, the substitution of more temperature-shock resistant plants for sensitive ones, etc.

This definition takes its function from the ability of humans to manipulate their environment, making it better suited to human-identified goals and interests, even if acting on behalf of other organisms.  Some synonyms include alteration, modification, redesign, remodeling, revamping, reworking, reconstruction, conversion, adjustment, acclimatization, acclimation, accommodations, habituation, acculturation, assimilation, and integration.

Adaptation is also used to describe genetically-accumulated evolutionary change over time in organisms as a response to natural selection. This is different from the case where manipulating the environment substitutes in the short-term replaces the pressure of genetic adaptation over the long term.

So I suppose this is why it calls to mind a version of evolution based on characters acquired in its lifetime (commonly known as Lamarckian inheritance)–if only for the appropriation of the term adaptation to refer to intra (within) generational processes and not inter (between) generational processes.

Adaptation for evolutionary biologists typically means processes through which a population becomes better suited to its environment over the course of many generations, often through natural selection.  A great deal of debate and research has been directed at how we recognize adaptation in hindsight.  This is because it can be difficult to state the causes for the evolution of a trait when we do not have direct observation and only historical signatures to learn from.  Most notably this was discussed in “The Spandrels of San Marco”, a paper by Stephen Gould and Richard Lewontin (1979) that uses an analogy from architecture for the evolution of organismal form and function.

I agree that changing the environment in the ways mentioned in the IPCC definition will likely limit vulnerabilities for humans and other populations.  However, there is an implicit assumption here that the goal should be for humans NOT to have to adapt over a course of generations–despite the inevitability of genetic change over time.  It presupposes an assumption of stasis – and a very western one when compared to eastern notions of change and mutability.  Richard Nisbett catalogues how some of these assumptions about change and stasis in his book The Geography of Thought.  For me, it depends on what time scale one is looking to understand if stasis or change is more relevant.  Still, I think its difficult to argue anymore that stasis is more relevant than change.

The necessary question should not be IF we should adapt (genetically or by manipulating the environment). Instead we should ask, “What are we adapting to and how are we getting there?”  Will humans and other populations be adapting to artificially-supported ‘vulnerability balloons’ as we are almost surely doing now through our uses of technology and fossil fuels?

This question of adaptive goal is important because the IPCC definitions include definitions of costs and benefits with its description of adaptation.  To what goal are these costs and benefits applied?  Within the frame of a generation or an organism’s lifetime, explicating goals may make sense, but ascribing goals to a ecosystem – much less whole populations – gets very very slippery.  You start to need some way to implicate who or what is writing that mission statement.

Similarly the IPCC includes adaptive capacity in its glossary as the ability, institutions, and resources that can be used to implement adaptation measures.

I think this is all a bit confusing, and I feel it makes more sense to reserve the definition of adaptation for genetic, phenotypic, and behavioral attenuation of organisms or systems to their environment across generations.  To describe the processes that organisms and systems use during their lifetimes I think we need a term that encompasses more variability, one that is less blatantly anthropocentric and functionalist in its approach to socio-ecological coevolution.  We also need a long view on systems not ones that are limited to single generations only – something that the biological definition of adaptation retains but that the socio-technical one does not.

Borrowing from the literature of evolutionary biology, behavior, and developmental biology, plasticity seems far better suited to the processes of environmental manipulation being described by the IPCC.  This is because it references a material (plastic) that maintains its basic molecular structure while having variable capacity to take on any number of manipulations or forms.

Coping and Plasticity
The terms coping and adaptation are sometimes used interchangeably leading to confusion.  Here I think there is some opportunity to disentangle the two.  A compilation of brainstorming sessions by groups of development practitioners in Ghana, Niger and Nepal described some differences which were then documented in the Climate Vulnerability and Capacity Analysis Handbook.  The results of the group’s sessions were pointing to what I think was a difference between 1) consistent and conscious actions to reduce vulnerability (adaptation) versus 2) ad hoc solutions (coping).

It’s worthwhile to differentiate coping and adaptation as within and between generation processes, respectively.  Biologists use plasticity to describe the ability of an organism or group to adjust within its lifetime via behavioral or developmental responses to the environment.  This may indeed include manipulation of the environment to decrease vulnerability.  Phenotypic plasticity is a description that could easily encompass artifacts, behaviors, institutions, and aggregations of resources as extensions of an organism’s phenotype.  It invokes important concepts from evolutionary biology including the role of cooperation in building and maintaining extended phenotypes (such as aggregations of useful materials like insurance, band-aids, and water) or how phenotypic reaction norms can change in response to different environments–shedding light on why a strategy in one environment may not be as successful in another.  There is further correspondence here with plasticity and the concept of developmental canalization (that organismal systems can get locked in to specific trajectories) and with the concept of path dependence in the development of economic and institutional systems.

So a better definition of plasticity might re-appropriate the IPCC’s definition of adaptation and rework it as:

An adjustment in natural or human systems in response to actual or expected climatic stimuli or their effects, which moderates harm or exploits beneficial opportunities. Plasticity operates through cognitive (sensing), social (interactional), physiological, and other mechanisms that can adjust to a wide range of variability. Plasticity is the ability to respond to variability and a range of realized and possible futures continuously and in a sustained approach. Plasticity or coping strategies attenuate the use of resources to local needs and involve planning that hybridizes old and new knowledge and strategies in an exploratory process.

Here I think this definition makes it much easier to bridge what may be happening at a physiological level (cellular temperature variation, sweating) with responses at an artifact level (clothing, ventilation) and an institutional (e.g. policies towards what it means to be cool).

This is because the term plasticity explicitly invokes a connotation of variability, while adaptation feels more like a description of how well two things (in this case organism or population and environment) fit together.  Clearly, if the environment is highly variable we need variability in our systems, not assumptions and values of how well we already fit and work within it.

Coping, on the other hand, seems pretty straightforward.  Survive.  It makes sense to leave a lot of variability open for this one, because when it comes time for coping strategies, any and all tactics may be appropriate.  But then again, there can be ways to cope that are more responsive than others.  But I think this starts to dig into a definition of resilience or robustness, where the system properties begin to matter more than than how they manifest themselves in practice.  What I mean by this is that as people, organisms, and ecosystems attempt to cope with change, their ability to draw on networks or strategies for coping is itself embedded in the system.  Some systems, as a function of their structure, cope better than others.  Consequently the adapt better than other too.

Resilience
The Climate Vulnerability and Capacity Analysis Handbook adapts its definition from UNISDR (2009) defining resilience as “the ability of a system to resist, absorb, and recover from the effects of hazards in a timely and efficient manner, preserving or restoring its essential basic structures, functions, and identity.”

The IPCC defines resilience as “the ability of a social or ecological system to absorb disturbances while retaining the same basic structure and ways of functioning, the capacity for self-organisation, and the capacity to adapt to stress and change.”

While Walker et al (2004) define resilience as “the capacity of a system to absorb disturbance and reorganize while undergoing change so as to still retain essentially the same function, structure, identity, and feedbacks.”

In these cases resilience emphasizes a system’s ability to maintain or return to specific structural or functional features–i.e. to maintain its identity, its durability, its persistence.  But as noted by Erica Jen in her article “Stable or Robust? What’s the Difference?” (2005), the choices of features or structural elements that we attend to are important for assessing both the capacity and quality of that responsiveness to change.

So what is the function, what is functional, and for whom?  Definitions matter.

One way to think about resilience is to imagine a couple of different water balloons.  One balloon is filled halfway full.  Another is filled so that the latex rubber that composes its surface and membrane is stretched tightly to hold the water in.  Now you can throw both balloons back and forth between each other, and neither may pop.  But what do you think will happen when the balloons are stretched, twisted, or allowed to drop on the ground where a twig might be a hazard to the already tense surface of the overfilled balloon?  It will probably pop and spill the water out.

A system’s resilience is a lot like a water balloon, and the degree of resilience is determined by how much water is forced into the balloon, the size of the balloon, and how much it is pushed to its limits.  We might think of the balloons shape, its ‘throwability’ or the thickness of its membrane as examples of functional or structural elements.  In most cases, we are looking at how well the balloon is able to maintain it shape and its continuity despite being stressed – i.e. it is functionally a ‘water balloon’, it has a round shape, and responds to the exterior and interior pressures of air and water.

Rarely do we think that a water balloon might reconfigure itself, rearranging the organization of its functions, structural elements, or features to be able to accomplish the same task differently.  What would happen if the water and the balloon separated or if the water balloon system was able to draw on other systems (e.g. refrigeration) to change the relationships between its functional elements?  What if we no longer simply considered only the water inside of the balloon as the system responding to the task of throwing? What if the throwing and catching movements were also included?  Would we still think of a resilient system, or would we start to walk a path of robustness–of being able to adjust the definitions and constraints of the systems themselves in pursuit of coevolutionary relationships between them?

Robustness
Robustness is a different beast altogether – literally.  While resilience is focused on maintaining a system, we can describe robustness as the ability of a system to change and in doing so to respond to environment and to develop entirely new functions as a result.

Some argue that robustness describes the ability of a system to withstand mutations and maintain its phenotype or “shape” as a result (Wagner, 2005).  Instead I think there is a greater correspondence of robustness with transformation as used by Walker et al (2004).  Transformability is “the capacity to create a fundamentally new system when ecological, economic, or social (including political) conditions make the existing system untenable.”   I’m less sure about the “untenable” part of Walker et al’s definition.

Robustness is the ability of a system to evolve system functions, not simply maintain those that already exist.  In this way, an analogy can be drawn between adaptation/robustness and plasticity/resilience.  Similarly, I think robustness has a quality of being parametric.  Parametric architecture has the quality of being built from common construction principles, but by varying the parameter values of those rules of construction, endless forms become possible.

References

Walker, B., C. S. Holling, S. R. Carpenter, and A. Kinzig. 2004. Resilience, adaptability and transformability in social–ecological systems. Ecology and Society 9(2): 5. [online] URL: http://www.ecologyandsociety.org/vol9/iss2/art5

UNISDR, 2009. Terminology: Basic terms of disaster risk reduction and IISD et al, 2007. Community-based Risk Screening – Adaptation and Livelihoods (CRiSTAL) User’s Manual, Version 3.0.

Climate Vulnerability and Capacity Analysis Handbook

http://www.careclimatechange.org/index.php?option=com_content&view=article&id=25&Itemid=30

IPCC, 2007: Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Annex I., M.L. Parry, O.F. Canziani, J.P. Palutikof, P.J. van der Linden and C.E. Hanson, Eds., Cambridge University Press, Cambridge, UK, 976pp.

Stephen Jay Gould and Richard C. Lewontin. “The Spandrels of San Marco and the Panglossian Paradigm: A Critique of the Adaptationist Programme” Proc. Roy. Soc. London B 205 (1979) pp. 581-598

Wagner, Andreas. 2005. Robustness and Evolvability in Living Systems (Princeton Studies in Complexity). Princeton University Press.

Open hallways, originally uploaded by gabriel.harp.

The common space at the Center for Complex Networks Research allows for group interaction, impromptu exchanges, and reception of visitors. Lunch, printing, library, and coffee all converge near conference rooms and shared offices.

This was a post that I initially wrote for the ‘Telling Stories’ discussion group that is made up of recipients of the Wellcome Trust’s International Engagement Award.  The group practices public engagement with public health and science from a variety of different perspectives and goals.  In this post, I was exploring the role of narration and also looking at the idea of suspense as created by communication (or the lack of) between researchers and members of the public.

Part 1.
I can start by locating the visual arts as a source or medium for engagement. The answer is: myriad. In the last ten years or so (and even before) the arts domain has taken on science and technology in bushels. Some of the response of the arts has been driven out of curiosity and the desire to take on the mantle of science for aesthetic reasons. For others it has been a source of tactical engagement with the very substance of knowledge production in the sciences, defense and military establishments, and the diffusion of technology in everyday life.

There are way too many example to adequately cover here, except to say that the Wellcome Trust is a major stakeholder in this area and has been for at least a decade as far as I know. I remember a festival in South Kensington that I happened upon almost ten years ago called Sparks which featured may artists working specifically with the life sciences in some form or another. Exhibitions were held at the Royal College of Art, the Victoria and Albert Museum, and the Natural History Museum, among others (http:/ /news.bbc.co.uk/2/hi/in_depth/sci_tech/2000/festival_of_science/91…). It was largely a cultural series of events, continuing a dialogue which I have witnessed firsthand in many forms and places afterwards. It seems to me that the role of the arts in these debates has largely been restricted to Europe, but I have seen some signs in the US and now in Asia that the visual arts are playing a more tactical and more integral role in the development of engagement vectors with the public, practitioners, and policy makers.

Some examples:
Last year we conducted a workshop for artists at NCBS (http://cema.srishti.ac.in/content/bioart) which focused on introducing cell and molecular biology methods to artists so they could use them as media for performance, communication, and engagement. It was conducted in collaboration with Oron Catts, a well-know bioartist from Australia (http://www.symbiotica.uwa.edu.au/) with extensive experience in using the trappings and discourse of the lab to open up critical thinking about future scenarios and paths of social and technological development.

A group of our students is taking part this week (and won an award) in the international genetically engineered machines (iGEM) competition held at MIT in Boston, USA. This is a group of art students working at NCBS (our host in Bangalore) to develop synthetic organisms, in part to provide a forum for engagement and critical dialogue at these meetings that is not just motivated by the accumulation of capital wealth or basic functional research via biotech (http://hackteria.org/). The result was a highly influential discussion about the role of amateurs in creating public knowledge using science and technology.

Project Vision (htt p://symphysis.wordpress.com/designing-for-converging-cultures-a-diplo…) is an ongoing project here in Bangalore that uses new media (i.e. web 2.0, sensors, physical computing, interactive story-building software, locative media like mobiles and GPS) to develop forms of intimate science where urban, poor, school-aged students run their own experiments and communicate first-hand experiences with nature and their environment.

Moon Vehicle is a community project maintained by Joanna Griffin (http://www.aconnectiontoaremoteplace.net) that bridges storytelling, artifacts, and arts-based methodologies to create peer communities between the Indian Space Research Organization (ISRO), astronomy buffs, schoolchildren, and others in order to reconstitute new narratives of science and technology as they apply to satellites, space exploration and the once and future missions to the moon.

Another timely example comes from Denmark. The Rethink exhibition (http://www.rethinkclimate.org/) combines contemporary art into political debates surrounding climate change responses in anticipation of Copenhagen.

In the US, The Center for Post-Natural History (http://postnatural.org/) takes on biotech and the conversion of biological organisms to intellectual property.

There are many, many others. But I think it’s safe to say that they have had varying impact and effect. Unfortunately (in my view) we haven’t yet developed a coefficient of art to assess its effect on other domains. Some of the examples I have cited have a distinctly critical edge. Others are more about raising awareness or, more to the point, about connecting different social communities and groups (e.g. science practitioners and schoolchildren).

One of the most important things I have learned in the last few years about public engagement with science comes from the field of science and technology studies. Sociologists, philosophers, and historians have started to demonstrate the value of media (especially visual) in the production of science and technology and the resolution of debates about scientific truth and public acceptance. The production of artifacts, objects, and “things we can wrap our heads around” is very important it turns out.

I think the lessons from history and sociology leads to some clarifying questions such as “What is the material basis for engagement?” and “What is engagement made of and where does it live?”

Part 2.

My perspectives
Many of my perspectives on public engagement are shaped by my experiences as both a practicing scientist studying evolution, ecology and behavior in lab and field settings, as an artist and designer working to develop communication and engagement tools, and now working to assess options for better decision making in public health, energy, and infrastructure.

As a biologist, my perspective is further shaped by host-parasite dynamics and their implications for disease in populations. I am also influenced by network science and complex systems. As such, the interaction is the focal point of engagement. How the interaction is created and maintained is significant for me.

As a designer, so-called design thinking influences my approach to engagement. This often means thinking critically about how the engagement process can transpire as part of everyday life–that is, part of the daily routine that people struggle with and recreate everyday.

I think the questions raised in previous posts about the motivation behind “science’s” engagement with the “public” and who makes up the “public” are critical because they help to identify the costs and benefits of engagement and the location of engagement as it pertains to the public. Still I think we need to constantly open up our assumptions further to scrutiny.

Of Scientists and Risk
I know scientists to be a very heterogeneous community involved with many others in the production of knowledge. In general, the people are exceedingly nice, driven by their own curiosity and desire to create understanding that will make a difference, however far downstream. Science, however, is also composed of lots of others, including the organisms and the tools used to develop new hypotheses and results. By far the most practical defining feature might be its place–where it is done and how that place structures the kind of interactions that in turn lead to what we call new knowledge.

Let’s be clear. In the West, science and by extension public health is hardly the product of scientists alone. Many individuals are involved from students, to researchers, financial managers, glassware technicians, viruses, lab rats, secretaries, publishers, reviewers of literature, politicians, middle-school teachers, clergy, university boards, ethics review panels, biotech company shareholders, news media and so on. All of these individuals are possibly working to do one thing–identify sources of risk and manage the uncertainty that arises out of the everyday interactions of people and their environment. If they can scrape out a living in the meantime, all the better for them. So yes, in a sense I would also say that because risk and uncertainty are trying to be minimized, science and technology have a lot to do with securing and locating ways to create wealth. And yes, all of this scales greatly with the complexity of the science (think: CERN or the HapMap project).

I prefaced this as part of the Western tradition 1) because it is of direct lineage from Christian emphasis on divine intervention and design, and 2) because I have found that (in Asia at least) very different traditions underlie the identification of risk and the communication of uncertainty. My sense is that in Asia these are intrinsically related to variation in the ordering of time, and I’m anxious to discuss this with others that know more than I do.

“The Public”, User Needs, and Witnessing
On the public side, I would prefer to say civil society–that is those who are engaged in social contracts relating to economics, technology, common goods, governmentality and so on. And I agree that it is correct to say that it is an even more heterogeneous group.

One way to think about civil society is much like designers think of their users. There is a simple axiom that underscores the work of many successful designers: user needs drive the acquisition of a product or service. Public heath knowledge and science can be that product. Yes, this is a very functionalist way of looking at it, but this principle of participatory design involves end users in the design process to help ensure that it meets user needs and is usable. It has been a successful strategy for architecture, software, and business (the customer is always right, right?). Why should science and its cognitive technologies be an exception?

By adopting user perspectives the scientific community can recognize that its practices may or may not resonate with user needs: socially, by ensuring equal access for disenfranchised groups, economically: by creating new opportunities for capital development and financial transactions, and politically: by improving the quality, speed, and sensitivity of social technologies to the needs of local users. It’s not that science doesn’t already do these things. It just isn’t always evident to the average user. In the realm of health, sometimes it’s just a matter of making the benefits clear so that they justify whatever costs there are in the user’s mind.

One of my favorite case studies come from evolution and its approximately 50% public acceptance in the United States. Margret Evans, a psychologist at the University of Michigan, studies some of the ways that children, potential users of evolutionary theory and biology, acquire evolutionist and creationist beliefs. Evans describes how Western religious and philosophical traditions emphasize essentialism, teleology, and intention, and in the process limit the cognitive appeal of natural explanations for the origins of species. She argues that because these ideas tend to show up repeatedly in public representations, they constrain the inferential reasoning capacities of the developing mind. It’s an observation that suggests science’s own predilection for categorization is at the root of evolutionary biology’s social friction.

I think these cognitive biases come into play often, for good and bad. I’ll want to describe some others, but I need to take a detour first.

Engagement, Stories, Suspense, Scenarios, and Fallacies
I personally feel that if scientists, policy-makers, and funding bodies are willing to involve cultural workers like artists and designers in the process of science and its associated applications, there is good news for broader participation because they cultural workers tend to excel at reconfiguring essentialist categories, and they often like to do it in public. There is some indication that this may be a general rule because visualization involves so much codification, creation of meaning, and translation of concepts and ideas into tangible, material artifacts for cognition and discourse. In effect, the sensory object is a vector for witnessing.

Witnessing
In their book, Leviathan and the Air Pump, authors Steven Shapin and Simon Schaffer describe three types of public witnessing of science: the direct performance of experiments in social spaces (imagine if the laboratory were a chapel or temple), reporting experimental methods in a manner that enables someone to replicate the experiments themselves (like primary journal articles that recount the plot), and virtual witnessing by producing in a reader’s mind an image of an experimental scene that displaces the need for direct witness or replication (this, I argue, is much like a story in someone’s mind constructed from the plot). We need more of this public witnessing if science is going to connect with society in a dynamical way.

Suspense and Narration
The idea of witnessing in science is intimately tied to the production of suspense in narrative. Richard Allen discusses suspense in his book about [Alfred] “Hitchcock’s Romantic Irony”. Allen cites Meir Sternberg’s distinction that, “suspense derives from a lack of desired information concerning the outcome of a conflict that is to take place in the narrative future, a lack that involves a clash of hope and fear; whereas curiousity is produced by a lack of information that relates to the narrative past, a time when struggles have already been resolved, and as such it often involves and interest in information for its own sake.” So when thinking about public engagement we should decide if we desire to create curiosity or suspense and design our process accordingly. Allen also incorporates Ian Cameron’s view that suspense is a “channeling of emotions”. Clearly emotions can be powerful, but how and why? In Allen’s analysis, suspense is something that happens in us as we are forced to take up the prospect of narrative outcomes that are contrary to the ones we desire. Suspense is constructed out of moral uncertainty, balancing our expectations with potential outcomes.

Allen discusses Hitchcock and develops descriptions of two types of suspense: pure and impure. Pure suspense is broad and objective, prolonged by tension, delay, and narration that is unrestricted, moving between vantage points and locations. It leads to an anxious uncertainty and an increased expectation of a bad outcome as the deadline looms. Arbitrary delays segment time and increase the tension because a bad outcome seems close at hand. Often, the audience sees a threat before the protagonist and surprise happens through the manipulation of time. The outcome almost always favor of the moral victory, especially in popular media.

Impure suspense on the other hand is local and subjective. It is developed from points of view that provide different sources of knowledge often through the eyes of the protagonists and antagonists, keeping the audience informed while the characters remain unwitting. Deadlines are set early on and acceleration commonly heightens the alert attentiveness of the spectators who are active participants in the construction of the suspense. Knowledge is not made by the director. It is made by the audience in cooperation with the information provided to the characters. All too often, the audiences senses the outcome before the characters do by filling in blanks sources of meaning that haven’t been provided. Impure suspense favors empathy for the character, as if we were living through them. The moral outcome is less certain and often unrealized.

The difference between surprise and suspense is also relevant. This passage from a conversation between Francois Truffaut and Alfred Hitchcock in the book Hitchcock/Truffaut helps to make the difference clear.

“We are now having a very innocent little chat. Let us suppose that there is a bomb underneath this table between us. Nothing happens, and then all of a sudden, “Boom!” There is an explosion. The public is surprised, but prior to this surprise, it has seen an absolutely ordinary scene, of no special consequence. Now, let us take a suspense situation. The bomb is underneath the table and the audience knows it, probably because they have seen the anarchist place it there. The public is aware that the bomb is going to explode at one o’clock and there is a clock in the decor. The public can see that it is a quarter to one. In these conditions this same innocuous conversation becomes fascinating because the public is participating in the scene. The audience is longing to warn the characters on the screen: “You shouldn’t be talking about such trivial matters. There’s a bomb beneath you and it’s about to explode!”

“In the first case we have given the public fifteen seconds of surprise at the moment of the explosion. In the second we have provided them with fifteen minutes of suspense. The conclusion is that whenever possible the public must be informed.”

Suspenseful Science?
My reason for taking this detour is to try to show some of the different narrative techniques that can be used in the construction of public health engagement and of science in the collective mind of civil society. Curiosity, surprise, and suspense (pure/impure) are all narratives tactics for engagement.

Curiosity is important for people attending to and learning on their own, but I don’t think it necessarily develops in people unless the benefits are of satisfying it are known to them.

Surprise is also relevant and critical to sensations of astonishment–and of being placed in a new reality that will cause dissonance and therefore growth.

Suspense, while composed and related to surprise and curiosity, has a more pedagogical function. It builds up knowledge of scenes and constraints using what I think Shapin and Schaffer described as virtual witnessing. The audience/spectators build the story themselves, creating it from the narration and plot to fit their own needs, and to adapt it to their own context and location-based experience. I think this is especially true for impure suspense because pure suspense rings of master narratives and the hindsight needed to create contrasts among moral outcomes. Life is not so much like that. Impure suspense allows us to decide the moral outcome during the process. We are never sure if we have chosen the right one, and we may not know even after the “movie” has ended.

So how can public engagement efforts use suspense to build better acclimation and participation among its audiences?

Scenarios and Fallacies
One possibility lies in the construction of scenarios about the future. Scenarios are descriptions of alternative future states where narration helps to articulate the shape and distribution of actors, procedures, and resources. Scenarios can be general or highly detailed, and they can be shown or represented in a variety of ways from verbal description, acting or role playing, visualization and imagery.

I’ve recently delved into the techniques of scenario development. They serve a number of important functions for individuals and organizations. The most important is perhaps building out aspirations and ideas of what the future could hold–even if the present lacks those characteristics. In this way preferred futures can be imagined, but even when the future is imagined to contain destructive relationships, it aids the processes of critical thinking and adaptation. For individuals, recognizing opportunity and constraint is the first step to capitalizing on it or avoiding its pitfalls. Arjun Appadurai has been highly influential in defining aspirations, or the capacity to aspire to a better future, as an important feature of cultural capacity. Scenarios, as extensions of aspirations, are a way to work forward, to rearrange the systems and see what new hybrids emerge and how they might affect well-being.

For organizations, scenarios can help create common ground. The dredge up assumptions and interactions to create a big picture where knowledge can be exchanged. When scenarios are combined with games and simulations, they provide an opportunity to work through challenging situations, to create memories of the future, and out of these take the confidence to undertake critical adaptive change without incurring any of the risks that real experiences entail.

One of the discussion themes asked what happens when artists and others ‘misinterpret’ the science or present it in a biased or misleading way. Rather than seeing this as something necessarily counterproductive, creative interpretations provide circumstantial detail that may be critical for the social fluency of science. A creative depiction of evolutionary technologies, such as Chris Landau’s The Flocking Party (http://theflockingparty.com/), should therefore be seen as a ‘minority report’, suggesting possible avenues for experimentation or areas of conflict between science and society.

On the contrary, critics of scenarios have argued that they aren’t effective in the development of policy precisely because of the detail they incorporate into their ‘worlds’. Morgan and Granger (2007) have argued that scenarios come with an implicit expectation of liklihood–that any particular scenario is more likely to occur in the future. As I already stated, predicting the future is not a goal for scenarios, but critical responsiveness to uncertainty is. Morgan and Keith based their argument on a common fallacy (and I will include another) that I think are important for us to consider as we take on public engagement through narrative.

In adding detail to a scenario or, let’s say, a compelling tale of science, we create compounding descriptions that run the risk of invoking the conjunction fallacy. A frequent example was developed by psychologists Amos Tversky and Daniel Kahneman. They gave respondents the statement:

Linda is 31 years old, single, outspoken, and very bright. She majored in philosophy. As a student, she was deeply concerned with issues of discrimination and social justice, and also participated in anti-nuclear demonstrations.

and asked: Which is more probable?
1. Linda is a bank teller.
2. Linda is a bank teller and is active in the feminist movement.

Logic and probability tell us that #1 is more probable since it is increasingly unlikely that she is both a bank teller and active in the feminist movement.

The issue here is that we want to include more detail and visualization in our stories, but in doing so we possibly risk compounding peoples’ expectation of what is and is not likely to happen.

Vividness is another concern. According to wikipedia, “The logical fallacy of misleading vividness involves describing an occurrence in vivid detail, even if it is an exceptional occurrence, to convince someone that it is a problem. Although misleading vividness does little to support an argument logically, it can have a very strong psychological effect because of a cognitive heuristic called the availability heuristic.”

The availability heuristic says that we often place events we have just seen or experienced in our memory more prominently, even if we know them to be less frequent occurrences. I can’t tell you how many times my Mom called me late in the evening when I was in college to warn me abut something she might have just seen on the evening news as a possible risk. The detail that many forms of media and engagement provide can also bias judgments that we would otherwise weigh more carefully.

I think somewhere there is a sweet-spot. I like this account of The Critical Art Ensemble as a group that routinely replicates scientific experiments in public spaces such as malls and parks in an effort to publicly verify political claims ranging from the presence of GMOs in the food chain to the terror threat of biological warfare. One of CAE’s projects with co-collaborator Beatriz de Costa is described by Regine Debatty from the blog we-make-money-not-art this way:

GenTerra is essentially a participatory “theater”…Scientists and artists are talking the public through the process and implications (whether they are purely profit-driven or feature some utopian qualities) of transgenics. Materials are then provided to allow people to get a hands-on experience by creating their own transgenic organism…After that they become actively involved in risk assessment by deciding whether or not to release bacteria from one of petri dishes of the release machine.

Even if the feedback generated doesn’t make it back to the lab or policy office, it’s a form of participatory design that seeks out users of science.

Another example was developed in Europe and has now spread. Some of you may have read about Science Shops as one possible form of engagement that pits user needs in direct contact with professional researchers. Here is a blog post about this that I wrote awhile back (http://blog.cstep.in/?p=319).

There is a fantastic series of podcasts produced by the CBC a few years back. The podcasts interviews many noted historians, philosophers, sociologists, and scientists to help distill what science is, how it’s claims to knowledge and facts are produced, and what many of the critical themes and questions are that science has to wrestle with including objectivity, fallacies of “historicity-turned-relativism”, and others.

Many influential authors contribute including: Richard Lewontin, Peter Gallison, Lorraine Daston, Steven Shapin, Bruno Latour, and James Lovelock..among many others.

You can download all the podcasts here:
http://castroller.com/podcasts/inrecentyears?page=1

After ManU went up 2-0 against Arsenal I started browsing and commenting on the submissions to this year’s Digital Media and Learning Competition that the MacArthur Foundation and HASTAC run each year.

Some observations:

• Lots of games and game-like labs in the mix.
• Art/Sci is now officially mainstream.
• Climate and Sustainability are BIG social issue themes in the sci/tech proposals.
• Lots of brands in the mix (Exploratorium, National Park Service, xlabs, Media Lab, Eyebeam, etc)

But after culling through them for an hour and a half, I think I got a good sampling of the 800 or so submissions to the Learning Labs track. Here are a few that seemed interesting, relevant and promising….to things I’m interested in..

ENERGY & CLIMATE ADAPTATION

Empowering Collaboration between Students and Vulnerable Communities in Three Degrees’ Real-World Climate Justice Seminar

Energy Game

The Wild Life Virtual Barnyard… Saving The Planet One Climate Cartoon At A Time!

Powerhouse: A Social Game That Teaches Players About Energy Efficiency

Climate Changers: An MMO virtual lab game to save a planet

Young People Take the VITAL SIGNS of Climate Change, Build Scientific Habits of Mind

Disadvantaged Youth Exploring Sustainable Energy Collaboratively Through Video Games

Pooling Resources Project [Prp]

OUTLIERS

EpiLab: Student-led epidemiology and public health surveillance in a global network of high school classrooms

HowStuffisMade & HowitcanChange: participatory platform to change the most toxic of global human activities.

Hackteria

WATER

On the H2O Case

Dry Land, Grey Water, Green Future: Interactive STEM Learning Through Gathering and Visualizing Environmental Data

Water Case Studies: Exploring Social History and Environmental Impact to Create Collaborative Solutions

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.