At one of the public brainstorming sessions for the New York Organic Action Plan, an organic farmer made an impassioned plea for support for “independent science” and told us that with 8.5 billion mouths to feed by 2050, we will need genetic engineering to prevent starvation.

I would like to examine these words carefully to decipher what they mean, how those words are used by this farmer and by others, and suggest how the movement for locally grown organic food in this country should respond.

What is the meaning of ‘independent science’? As co-chair of the Policy Committee for the Northeast Organic Farming Association of New York (NOFA-NY), I have been an active participant in the coalition that is campaigning to pass GMO labeling legislation in NY State. In this capacity, I have spoken at public meetings, to the press and on radio interviews. A question that I have heard from proponents of biotechnology is “why do you organic farmers oppose science, like the climate deniers?”

The first time I heard this, I was startled and felt defensive. Had I ever opposed science?  I searched back through things I had written and reviewed all the policy resolutions the members of NOFA-NY had passed over the years. I found a few places where I criticized reductionist science and defended “indigenous knowledge” (that is things like composting and crop rotations that people who practice a craft know and pass on to their children that has not been proven by research at a university). But nowhere could I find any statement opposing science.

Over the past twenty years, agricultural biotechnologies have generated chronically unresolved political controversies. The standard tool of risk assessment has proven to be highly limited in its ability to address the panoply of concerns that exist about these hybrid techno/organisms. It has also failed to account for both the conceptual and material networks of relations agricultural biotechnologies require, create and/or perform.

This paper takes as a starting point that agricultural biotechnologies cannot be usefully assessed as isolated technological entities but need to be evaluated within the context of the broader socio-ecological system that they embody and engender.

The paper then explores, compares and contrasts some of the methodological tools available for advancing this systems-based perspective. The article concludes by outlining a new synthesis approach of comparative cartographies of agri/cultures generated through multi-sited ethnographic case-studies, which is proposed as a way to generate system maps and enable the comparison of genetically modified (GM) food with both conventional and alternative agri-food networks for sustainability assessment.

The paper aims to make a unique theoretical and methodological contribution by advancing a systems-based approach to conceptualising and assessing genetically modified organisms (GMOs) and proposing a synthesised methodology for mapping networks of relations across different agri/cultures.

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