Inside ILSI: How Coca-Cola, Working through Its Scientific Nonprofit, Created a Global Science of Exercise for Obesity and Got It Embedded in Chinese Policy (1995–2015)

Author(s):  
Susan Greenhalgh

Abstract Context: Industry influence on health science and policy is a critical issue of our day. In 2015, the New York Times revealed that Coca-Cola paid scientists to form a Global Energy Balance Network promoting the notion that exercise, not dietary restraint, is the solution to the obesity epidemic—a claim few accept. This article examines the organizational dynamics and policy process behind Coke’s efforts to sway obesity policy, globally and in China, a critical market, during 1995–2015. Methods: In-depth, qualitative research during 2013–18 involved: 10 weeks of fieldwork in Beijing; interviews with 25 leading experts; analysis of newsletters documenting all major obesity-related activities in China; interviews with 12 Euro-American experts; extensive internet research on all major actors. Findings: This article tells two intertwined stories (institutional dynamics; science- and policymaking) at global and local-Chinese levels. Coke succeeded in redirecting China’s obesity science and policy to emphasize physical activity. Key to its success was the industry-funded, global nonprofit, the International Life Sciences Institute (ILSI). Beneath ILSI’s public narrative of unbiased science and no policy advocacy lay a maze of hidden channels companies used to advance their interests. Working through those channels, Coca-Cola influenced China’s science- and policymaking during every phase in the policy process, from framing the issues to drafting official policy. Conclusions: Though China is exceptional, ILSI promoted exercise globally, suggesting potentially significant impacts in other ILSI-branch countries.

2017 ◽  
Vol 16 (06) ◽  
pp. 1451-1463 ◽  
Author(s):  
Chuang Lin ◽  
Guoliang Li ◽  
Zhiguang Shan ◽  
Yong Shi

Data is growing faster than ever before and is changing our daily life. However it is rather challenging to manage the big data [F. H. Cate, The big debate, Science 346 (2014) 810, J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh and A. H. Byers, Big Data: The Next Frontier for Innovation, Competition, and Productivity (Mckinsey global Institute, 2011), S. Lohr, The Age of Big Data (New York Times, 2012), p. 11, L. Einav and J. Levin, Economics in the age of big data, Science 345 (2014) 715, M. J. Khoury and J. P. A. Ioannidis, Big data meets public health, Science 346 (2014) 1054–1055, V. Marx, Biology: The big challenges of big data, Nature 498(7453) (2013) 255–260.]. In this paper, we propose the big data thinking and modeling techniques from the perspective of the I Ching, which is a very famous imaginal thinking theory in China with 3,000 years history. The I Ching has been proven to be very useful and practical in many domains, e.g., 36 stratagems. Firstly, inspired from the three components of the I Ching, image, number and principle, we propose a new three-cycle big data thinking way, from data to phenomenon, from phenomenon to correlation, and from correlation to knowledge, which is a generalization of the fourth paradigm (from causality to correlation) proposed by Jim Gray. Secondly, inspired from the three entities of the I Ching, heaven, earth and human, we propose a new big data modeling method. We use the tree entities to represent the big data. We map the 4[Formula: see text]V of big data (volume, variety, velocity, veracity) to four opposition and uniform relations in the I Ching, and generate the eight diagrams. By capturing the relationships between eight diagrams, we generate the 64 hexagrams, and use 64 hexagrams to model big data. We also provide the principle rules to understand the knowledge generated by the model. Thirdly, we discuss how to utilize our model to describe big-data management tools, including, MapReduce, Spark, Storm. We also provide a new model for handling distributed data streams. We do think that we provide a new practical way of thinking and modeling for big data. We also believe that this will open up many new research directions on big data.


2003 ◽  
Vol 15 (3) ◽  
pp. 98-105 ◽  
Author(s):  
Mark Galliker ◽  
Jan Herman
Keyword(s):  
New York ◽  

Zusammenfassung. Am Beispiel der Repräsentation von Mann und Frau in der Times und in der New York Times wird ein inhaltsanalytisches Verfahren vorgestellt, das sich besonders für die Untersuchung elektronisch gespeicherter Printmedien eignet. Unter Co-Occurrence-Analyse wird die systematische Untersuchung verbaler Kombinationen pro Zähleinheit verstanden. Diskutiert wird das Problem der Auswahl der bei der Auswertung und Darstellung der Ergebnisse berücksichtigten semantischen Einheiten.


Cultura ◽  
2019 ◽  
Vol 16 (1) ◽  
pp. 53-73
Author(s):  
Saman REZAEI ◽  
Kamyar KOBARI ◽  
Ali SALAMI

With the realization of the promised global village, media, particularly online newspapers, play a significant role in delivering news to the world. However, such means of news circulation can propagate different ideologies in line with the dominant power. This, coupled with the emergence of so-called Islamic terrorist groups, has turned the focus largely on Islam and Muslims. This study attempts to shed light on the image of Islam being portrayed in Western societies through a Critical Discourse Analysis approach. To this end, a number of headlines about Islam or Muslims have been randomly culled from three leading newspapers in Western print media namely The Guardian, The Independent and The New York Times (2015). This study utilizes “ideological square” notion of Van Dijk characterized by “positive presentation” of selves and “negative presentation” of others alongside his socio-cognitive approach. Moreover, this study will take the linguistic discourses introduced by Van Leeuwen regarding “representing social actors and social practices” into consideration. The findings can be employed to unravel the mystery behind the concept of “Islamophobia” in Western societies. Besides, it can reveal how specific lexical items, as well as grammatical structures are being employed by Western media to distort the notion of impartiality.


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