Bottom-Up Policy Risk Assessment

Author(s):  
Peter Otorepec ◽  
Piedad Martin-Olmedo ◽  
Julia Bolivar ◽  
Odile Mekel ◽  
Jutta Grohmann ◽  
...  
Author(s):  
Liliana Cori ◽  
Gabriel Guliš ◽  
Joanna Kobza ◽  
Ágnes Molnár ◽  
Jana Kollárová

2013 ◽  
Vol 122 (1-2) ◽  
pp. 97-110 ◽  
Author(s):  
Y. B. Ghile ◽  
M. Ü. Taner ◽  
C. Brown ◽  
J. G. Grijsen ◽  
Amal Talbi

2015 ◽  
Vol 153 (8) ◽  
pp. 1380-1393 ◽  
Author(s):  
U. B. NIDUMOLU ◽  
P. T. HAYMAN ◽  
Z. HOCHMAN ◽  
H. HORAN ◽  
D. R. REDDY ◽  
...  

SUMMARYClimate risk assessment in cropping is generally undertaken in a top-down approach using climate records while critical farmer experience is often not accounted for. In the present study, set in south India, farmer experience of climate risk is integrated in a bottom-up participatory approach with climate data analysis. Crop calendars are used as a boundary object to identify and rank climate and weather risks faced by smallhold farmers. A semi-structured survey was conducted with experienced farmers whose income is predominantly from farming. Interviews were based on a crop calendar to indicate the timing of key weather and climate risks. The simple definition of risk as consequence × likelihood was used to establish the impact on yield as consequence and chance of occurrence in a 10-year period as likelihood. Farmers’ risk experience matches well with climate records and risk analysis. Farmers’ rankings of ‘good’ and ‘poor’ seasons also matched up well with their independently reported yield data. On average, a ‘good’ season yield was 1·5–1·65 times higher than a ‘poor’ season. The main risks for paddy rice were excess rains at harvesting and flowering and deficit rains at transplanting. For cotton, farmers identified excess rain at harvest, delayed rains at sowing and excess rain at flowering stages as events that impacted crop yield and quality. The risk assessment elicited from farmers complements climate analysis and provides some indication of thresholds for studies on climate change and seasonal forecasts. The methods and analysis presented in the present study provide an experiential bottom-up perspective and a methodology on farming in a risky rainfed climate. The methods developed in the present study provide a model for end-user engagement by meteorological agencies that strive to better target their climate information delivery.


2020 ◽  
Author(s):  
Haley M LaMonica ◽  
Anna E Roberts ◽  
Grace Yeeun Lee ◽  
Tracey A Davenport ◽  
Ian B Hickie

BACKGROUND Along with the proliferation of health information technologies (HITs), there is a growing need to understand the potential privacy risks associated with using such tools. Although privacy policies are designed to inform consumers, such policies have consistently been found to be confusing and lack transparency. OBJECTIVE This study aims to present consumer preferences for accessing privacy information; develop and apply a privacy policy risk assessment tool to assess whether existing HITs meet the recommended privacy policy standards; and propose guidelines to assist health professionals and service providers with understanding the privacy risks associated with HITs, so that they can confidently promote their safe use as a part of care. METHODS In phase 1, participatory design workshops were conducted with young people who were attending a participating <i>headspace</i> center, their supportive others, and health professionals and service providers from the centers. The findings were knowledge translated to determine participant preferences for the presentation and availability of privacy information and the functionality required to support its delivery. Phase 2 included the development of the 23-item privacy policy risk assessment tool, which incorporated material from international privacy literature and standards. This tool was then used to assess the privacy policies of 34 apps and e-tools. In phase 3, privacy guidelines, which were derived from learnings from a collaborative consultation process with key stakeholders, were developed to assist health professionals and service providers with understanding the privacy risks associated with incorporating HITs as a part of clinical care. RESULTS When considering the use of HITs, the participatory design workshop participants indicated that they wanted privacy information to be easily accessible, transparent, and user-friendly to enable them to clearly understand what personal and health information will be collected and how these data will be shared and stored. The privacy policy review revealed consistently poor readability and transparency, which limited the utility of these documents as a source of information. Therefore, to enable informed consent, the privacy guidelines provided ensure that health professionals and consumers are fully aware of the potential for privacy risks in using HITs to support health and well-being. CONCLUSIONS A lack of transparency in privacy policies has the potential to undermine consumers’ ability to trust that the necessary measures are in place to secure and protect the privacy of their personal and health information, thus precluding their willingness to engage with HITs. The application of the privacy guidelines will improve the confidence of health professionals and service providers in the privacy of consumer data, thus enabling them to recommend HITs to provide or support care. CLINICALTRIAL


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