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@article{Loconto2026,

title = {The Technopolitics of Food Security: Intermediating Knowledge Infrastructures via FAO’s State of Food Security and Nutrition},

author = {Allison Marie Loconto},

url = {https://mail.ijsaf.org/index.php/ijsaf/article/view/761},

doi = {/10.48416/ijsaf.v31i1.761},

issn = {0798-1759},

year  = {2026},

date = {2026-08-24},

urldate = {2026-08-24},

journal = {The International Journal of the Sociology of Agriculture and Food},

volume = {32},

issue = {2},

pages = {69-86},

abstract = {The Food and Agriculture Organization of the United Nations (FAO) plays a dual role in the governance of global food security, as both an arena for policy debate and a ‘universal’ knowledge institution defining itself as a ‘neutral knowledge broker’. These roles do not, however, exhaust FAO’s governance functions, which also include agenda- and priority-setting (the international years and decades it proclaims) and its participation, alongside the other Rome-based agencies, in the Committee on World Food Security (CFS).

One such instrument is the annual flagship publication,The State of Food Security and Nutrition in the World (SOFI), the global reference report tracking progress towards food and nutrition security. The 2017 SOFI report marks an important turning point. On the one hand, it observed that the decline in the Prevalence of Undernourishment (PoU) over the previous decade had probably reversed. On the other, it introduced new metrics enabling FAO to report progress towards the Sustainable Development Goals (SDGs). Notably, it proposed a subjective measure of food insecurity, the Food Insecurity Experience Scale (FIES), whereas until then the PoU offered an “objective” measure based on a balance between availability and estimated needs. Based on a lexical analysis of SOFI reports and an ethnography within FAO, this article examines the relationship between quantification techniques and global policies. By developing the concept of knowledge intermediation and its infrastructures, it reflects on how governance through metrics affects our ways of knowing about food security.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{deRaymond2021,

title = {Systemic risk and food security. Emerging trends and future avenues for research},

author = {Antoine Bernard de Raymond and Arlène Alpha and Tamara Ben-Ari and Benoît Daviron and Thomas Nesme and Gilles Tétart},

url = {http://agri.ckcest.cn/file1/M00/02/DB/Csgk0WC5rL2ALdKRABEk1jUjpcE370.pdf},

doi = {https://doi.org/10.1016/j.gfs.2021.100547},

year  = {2021},

date = {2021-05-14},

urldate = {2021-05-14},

journal = {Global Food Security},

abstract = {The unanticipated international food price spike of 2008 has raised concerns about global food security. Might food  systems  lastingly  fail  to  supply, trade,  and  distribute  food?  Might  widespread unsustainable  agricultural practices irreversibly alter ecosystems? Or might large scale food shortages trigger political unrest? To answer these questions, we reflect upon the concept of systemic risk and conduct a review of the literature on systemic risks and food security. First, we present the concept of systemic risk and current trends in systemic risk research. 

We then analyze contributions on systemic risk and food security. We first show that the literature has so far focused  on  a)  agricultural  production  and  correlated  yield-losses,  and  on  ways  of  pooling  risk  at  regional  or global-level, and b) the role of international trade in increasing or decreasing systemic risk. We then identify avenues for further research, highlighting the impact of intensive farming on ecosystems. Finally, we discuss the concept of systemic risk: we show that scholars need to be careful when assuming that there exists just one global food system; we show that systemic risk can be understood in various ways, beyond the domino effect paradigm.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ruiz2015indicators,

title = {Indicators of agricultural intensity and intensification: a review of the literature},

author = {Irune Ruiz-Martinez and Elisa Marraccini and Marta Debolini and Enrico Bonari},

url = {https://hal.archives-ouvertes.fr/hal-01277628},

doi = {10.4081/ija.2015.656},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {Italian Journal of Agronomy},

volume = {10},

number = {2},

pages = {74--84},

abstract = {Since the 1960s, research has dealt with agricultural intensification (AI) as a solution to ensure global food security. Recently, sustainable intensification (SI) has increasingly been used to describe those agricultural and farming systems that ensure adequate ecosystem service provision. Studies differ in terms of the application scales and methodologies, thus we aim to summarize the main findings from the literature on how AI and SI are assessed, from the farm to global levels. Our literature review is based on 7865 papers selected from the Web of Science database and analysed using CorText software. A further selection of 105 relevant papers was used for an in-depth full-text analysis on: i) farming systems studied; ii) related ecosystem services; iii) indicators of intensity; and iv) temporal and spatial scales of analysis. Through this two-step analysis we were able to highlight three main research gaps in the AI research indicators. Firstly, the farming systems analysed for assessing AI are often quite simplified or monoculture-oriented, and they do not take the diversity and complex organisation of farming systems into account. Secondly, these studies mainly focus on northern countries or developing countries, whereas there is a gap of knowledge in Mediterranean areas, which are the areas with a high complexity of farming systems and diversity in ecosystem services. Finally, AI is mostly assessed through nitrogen inputs and economic yield, which are used the most both at very local and global levels. Intermediate regional or local levels, which are relevant for policy implementation and local planning, are often neglected. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}