Privacy Factors for Successful Ubiquitous Computing

Author(s):  
Linda Little ◽  
Pam Briggs

Certain privacy principles have been established by industry, e.g. the U.S. Public Policy Committee of the Association for Computing Machinery (USACM). Over the past two years, we have been trying to understand whether such principles reflect the concerns of the ordinary citizen. We have developed a method of enquiry which displays a rich context to the user in order to elicit more detailed information about those privacy factors that underpin our acceptance of ubiquitous computing. To investigate use and acceptance, Videotaped Activity Scenarios specifically related to the exchange of health, financial, shopping and e-voting information and a large scale survey were used. We present a detailed analysis of user concerns, firstly in terms of a modified Hertzberg model that identifies a set of constructs that might reflect user-generated privacy principles, secondly those factors likely to play a key role in an individuals cost-benefit analysis, and thirdly, longer-term concerns of the citizen in terms of the impact of new technologies on social engagement and human values.

Author(s):  
Linda Little ◽  
Pam Briggs

Certain privacy principles have been established by industry, (e.g. USCAM, 2006). Over the past two years, we have been trying to understand whether such principles reflect the concerns of the ordinary citizen. We have developed a method of enquiry which displays a rich context to the user in order to elicit more detailed information about those privacy factors that underpin our acceptance of ubiquitous computing. To investigate use and acceptance Videotaped Activity Scenarios specifically related to the exchange of health, financial, shopping and e-voting information and a large scale survey were used. We present a detailed analysis of user concerns firstly in terms of a set of constructs that might reflect user-generated privacy principles; secondly those factors likely to play a key role in an individual’s cost-benefit analysis and thirdly, longer-term concerns of the citizen in terms of the impact of new technologies on social engagement and human values.


2021 ◽  
Author(s):  
alejandro Ganimian ◽  
Karthik Muralidharan ◽  
Christopher K. Walters

We use a large-scale randomized experiment to study the impact of augmenting staffing in the world’s largest public early childhood program: India’s Integrated Child Development Services (ICDS). Adding a half-time worker doubled net preschool instructional time and led to 0.29σ and 0.46σ increases in math and language test scores after 18 months for children who remained enrolled in the program. Rates of stunting and severe malnutrition were also lower in the treatment group. A cost-benefit analysis suggests that the benefits of augmenting ICDS staffing are likely to significantly exceed its costs even under conservative assumptions.


Author(s):  
Genís Majoral ◽  
Francesc Gasparín ◽  
Sergi Saurí

The number of e-commerce transactions is increasing worldwide. Deliveries of goods purchased online generate externalities throughout the whole supply chain and, particularly, the increasing concern about the last-mile distribution of goods. The escalating presence of vans in cities contributes to poor air quality, climate change, noise, and congestion. So far, the majority of solutions to address this issue are based on the supply side, such as electric vans, optimizing the routing and pick-up-points, and so forth. Even in other transport sectors, pricing solutions are well known, yet they have not been extended to e-commerce delivery. This paper aims to propose an environmental tax falling on the demand side and equaling the externalities from this activity. The analysis has been particularized for the case of Barcelona. A cost–benefit analysis to assess the impact of such a tax has been carried out. When revenue collection is reinvested in the logistics sector, and for subsidizing electric distribution vehicles, the results indicate that the levying of the tax can generate positive outcomes.


2021 ◽  
Vol 6 (2) ◽  
pp. e004292
Author(s):  
Jung Ho Kim ◽  
Jiyeon Suh ◽  
Woon Ji Lee ◽  
Heun Choi ◽  
Jong-Dae Kim ◽  
...  

BackgroundRapid diagnostic tests (RDTs) are widely used for diagnosing Plasmodium vivax malaria, especially in resource-limited countries. However, the impact of RDTs on P. vivax malaria incidence and national medical costs has not been evaluated. We assessed the impact of RDT implementation on P. vivax malaria incidence and overall medical expenditures in South Korea and performed a cost–benefit analysis from the payer’s perspective.MethodsWe developed a dynamic compartmental model for P. vivax malaria transmission in South Korea using delay differential equations. Long latency and seasonality were incorporated into the model, which was calibrated to civilian malaria incidences during 2014–2018. We then estimated averted malaria cases and total medical costs from two diagnostic scenarios: microscopy only and both microscopy and RDTs. Medical costs were extracted based on data from a hospital in an at-risk area for P. vivax malaria and were validated using Health Insurance Review and Assessment Service data. We conducted a cost–benefit analysis of RDTs using the incremental benefit:cost ratio (IBCR) considering only medical costs and performed a probabilistic sensitivity analysis to reflect the uncertainties of model parameters, costs and benefits.ResultsThe results showed that 55.3% of new P. vivax malaria cases were averted, and $696 214 in medical costs was saved over 10 years after RDT introduction. The estimated IBCR was 2.5, indicating that RDT implementation was beneficial, compared with microscopy alone. The IBCR was sensitive to the diagnosis time reduction, infectious period and short latency period, and provided beneficial results in a benefit over $10.6 or RDT cost under $39.7.ConclusionsThe model simulation suggested that RDTs could significantly reduce P. vivax malaria incidence and medical costs. Moreover, cost–benefit analysis demonstrated that the introduction of RDTs was beneficial over microscopy alone. These results support the need for widespread adoption of RDTs.


1992 ◽  
Vol 22 (4) ◽  
pp. 705-727 ◽  
Author(s):  
Tom Dwyer

The birth of industrial society produced demand for the services of professionals specialized in matters related to industrial safety. Three professions—safety engineering, industrial medicine, and ergonomics—are examined. These professions are observed to either submit to single sets of demands, to integrate contradictory demands, or to experience scission. Until the late 1960s their growth appears to have been relatively peaceful and uncontroversial. From this period onward, controversy breaks out over questions related to industrial safety, and professions and government administrations grow. Increasingly, the traditional approach of safety professionals is called into question, and they adopt new orientations. These changes are mapped through the examination of data drawn principally from the United States, France, Great Britain, and to a lesser extent Brazil. The traditional standards approach competes with cost-benefit analysis and with systemic safety for influence; in addition, an emergent approach that analyzes accident causes in terms of social relations of work is detected. From Bhopal to Chernobyl, new technologies subject civilian populations to risks of catastrophic accidents, and the action of safety professionals comes under the spotlight. The analysis constructed permits new understandings of the past and the future of these professions.


2015 ◽  
Vol 17 (01) ◽  
pp. 1550003 ◽  
Author(s):  
FRANK VANCLAY

Over 150 forms of impact assessment can be identified using Google searches, with several new forms appearing since 2003. Since then, the popularity of the various members of the impact assessment family has changed, partly in response to legislative and regulatory changes, and general trends in society. The information explosion and expansion of the internet has resulted in a 32 fold increase in the number of hits for "impact assessment", now over 12 million. The conventional methods most frequently mentioned in 2003 had relatively low proportional change over the last 10 years but remain amongst the most frequently mentioned in 2014: risk assessment, public participation, cost-benefit analysis, public involvement, environmental monitoring, and project evaluation. The terms with highest proportional change (i.e. the super-hot topics) were primarily social concerns, including: equality impact assessment, welfare impact assessment, mental health impact assessment, disability impact assessment, human impact assessment, social impact assessment, and social risk assessment. Other terms that had high proportional change included life cycle impact assessment. Information about the relative popularity of the various forms of impact assessment is used in this paper to discuss issues and trends in the broad field of impact assessment.


2021 ◽  
pp. 1-10
Author(s):  
Ankit Srivastava ◽  
Prathna T.C.

Water is indispensable to sustain life and livelihood, and rivers serve as major reservoirs of water in manyparts of the world. River Yamuna is the major tributary of the River Ganges in India and is considered to be among the most polluted rivers of the world. The Yamuna Action Plan (YAP) is one of the largest river restoration projects in India and is initiated to clean the river. YAP is a bilateral arrangement between the governments of India and Japan, and consists of three Actions Plans-I, II and III. YAP-III is currently under execution with some of the major projects being the construction of the new Wastewater Treatment Plant (WWTP) at Okhla, rehabilitation and upgrading of WWTPs at Kondli and Rithala in the Delhi region. The impact of YAP-III with regard to these major projects on the reduction of the pollutant load reaching the river and cost-benefit has been evaluated in the current study. Findings from the study indicated that major projects such as construction of a new WWTP at Okhla (124 MGD) can effectively reduce the pollutant load by 283 kg/MGD of wastewater at a cost of Rs. 1161 crores while the rehabilitation project at Rithala (Phase I) can reduce the pollutant load by 92.5 kg/MGD wastewater at a cost of Rs. 300 crores. The present study indicates the need to evaluate projects in terms of cost-benefit analysis in addition to the economic and environmental evaluation for effective action. A holistic approach towards treatment of pollutant load in the river and prevention of further pollutants from reaching the river is required in addition to community awareness and participation for sustainable river water management.


2015 ◽  
Vol 43 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Cheng-Yu Li ◽  
Shiao-Yuan Lu ◽  
Bi-Kun Tsai ◽  
Keh-Yuan Yu

In recent years, personality variables, such as extraversion and sensation seeking, have been used to investigate tourist preferences and behaviors. For this study, we classified tourist roles into three types: the familiarized mass tourist, the organized mass tourist, and the independent tourist. We investigated the impact of extraversion and sensation seeking on tourist roles in a large-scale survey of Taiwanese citizens (N = 1,249) aged 20 years and older. Using logistic regression analysis, the results indicated that sensation seeking was a significant predictor of tourist role, but extraversion was not. Compared to familiarized mass tourists, people who are sensation-seeking are more likely to become independent tourists rather than organized mass tourists. We provide suggestions for tourism marketing.


Author(s):  
Valentin Tablan ◽  
Ian Roberts ◽  
Hamish Cunningham ◽  
Kalina Bontcheva

Cloud computing is increasingly being regarded as a key enabler of the ‘democratization of science’, because on-demand, highly scalable cloud computing facilities enable researchers anywhere to carry out data-intensive experiments. In the context of natural language processing (NLP), algorithms tend to be complex, which makes their parallelization and deployment on cloud platforms a non-trivial task. This study presents a new, unique, cloud-based platform for large-scale NLP research—GATECloud. net. It enables researchers to carry out data-intensive NLP experiments by harnessing the vast, on-demand compute power of the Amazon cloud. Important infrastructural issues are dealt with by the platform, completely transparently for the researcher: load balancing, efficient data upload and storage, deployment on the virtual machines, security and fault tolerance. We also include a cost–benefit analysis and usage evaluation.


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