Gamification of participatory modeling in the context of sustainable development: existing and new solutions

Serious games and gamification tools have gradually expanded their application in participatory settings, while already being widely used in the context of sustainable development in general. Their popularity is explained by their ability to create an engaging and experimental environment, which evokes critical thought, meaningful interaction between the participants and experience-based learning. Although game design principles and tools are, to a large extent, universal, their application differs from one field to another. The simulation modelling field has a long history of using game elements to make complicated models more user-friendly and understandable for wider audiences. Management flight simulators, microworlds, policy exercises and strategic simulations are among the most common examples. Meanwhile, the urban planning field often makes use of interactive 3D maps, including the most recent advancements in applying XR technologies to make the interaction with the system more tactile and collaborative in a multi- user setting. Serious games are used in participatory projects as a supplementary approach to provoking discussion among the stakeholders and stimulating critical thinking. Gamification in the participatory modeling field is commonly used at the initial and final stages of the process or by incorporating a role playing component into the process (e.g. in companion modeling and social simulations). Based on the existing research, we have two main observations: (1) in each of the above-mentioned fields there are traditional ways of using gamification and visualization instruments and there is a lack of ‘cross-pollination’ between various application fields in terms of choosing gamification tools, (2) gamification tools are commonly used at one or two stages of participatory modeling process but rarely over the entire process of participatory modeling. We suggest that by introducing more gamification elements throughout the whole PM process we can produce a more gameful or, at least, a more engaging experience for stakeholders. As a preliminary step towards wider use of gamification in the participatory modeling process, we first analyze how existing gaming solutions from various fields can be applied in the context of different stages of participatory modeling. In our research we critically reviewed the use of gamification from two perspectives: (1) to which extent it could help to mitigate the challenges of participatory modeling process (e.g. biases, groupthink, conflicts, etc.) and consequently contribute to better learning and communication between the participants, (2) how it could contribute to the creation of engaging experiences for the participants during participatory modeling process. As a result, we propose a framework for gamification of each stage of the participatory modeling process taking into consideration the already existing solutions, as well as the insights from the game design and behavioral science fields

Incidence of multiple myeloma among cleanup workers of the chornobyl accident and their survival

The study presents the updated data on the multiple myeloma (MM) incidence in Ukrainian cleanup workers after the Chornobyl accident and their survival. The epidemiological analysis is based on the extended follow-up period to identify new MM cases for higher statistical power and to collect additional data on the disease course and outcome for the survival analysis. The objective of the study was to analyze the MM incidence and survival in Chornobyl cleanup workers in 1996–2013 in comparison with the national MM statistical data. Materials and Methods: A study cohort consisted of 152,520 male cleanup workers resided in one of 6 regions of Ukraine or Kyiv city and registered in the Ukrainian State Chornobyl Registry (SChR). The Cohort Database was linked to the Ukrainian National Cancer Registry (NCR) Database to identify MM cases and to analyze MM incidence in 1996– 2013. Standardized incidence ratios (SIR) for MM over the period 1996–2013 were calculated as compared to the general population of Ukraine. A 10-year lag period (when incident cases are not considered radiation-related) was applied. One-year and 5-year cause-specific survival of MM cases were calculated as percentage of those who were alive correspondingly for 1 or 5 years after diagnosis among overall diagnosed. By the moment, the 5-year survival rate either for the sub-period 2008–2013 or for the whole study period 1996–2013 cannot be determined. Vital status data were updated according to the recent SChR and NCR information. Results: 75 MM cases diagnosed in 1986–2013 were identified in the studied cohort. 69 of them were included to the incidence analysis considering a 10-year lag period. While the incidence over 15 years after the accident did not differ significantly from the corresponding rate in general population of Ukraine, a tendency to increase was seen in the period from 16 to 21 years after the accident, and significantly increased SIR estimate was revealed for 2008–2013 (SIR 1.86, 95% confidence interval (CI) 1.27–2.44). The highest incidence was detected in 2008–2013 among cohort members diagnosed over the age of 50 years mostly due to the significant excess among those aged 60–69 (SIR 2.46, 95% CI 1.32–3.59). Survival rates in cleanup workers were shown to be higher than in the general population of Ukraine (73.9% and up to 65.0%, respectively). Conclusions: SIR for the 2008– 2013 period, 22–27 years after the accident, demonstrated the significant excess of MM incidence among male cleanup workers. Survival of MM cases is higher in cleanup workers in comparison with that in general population. This article is a part of a Special Issue entitled “The Chornobyl Nuclear Accident: Thirty Years After”

EURADOS Working Group 12 studies in interventional radiology for medical staff dosimetry

EURADOS (European Radiation Dosimetry Group) Working Group 12 (dosimetry in medical imaging) established a subtask devoted to the dosimetry of the medical staff employed in interventional radiology practices. As it is widely known, such practices are characterized by high doses, with respect the other medical procedures, both for the patient and the radiologist. For interventional cardiology there are several publications concerning medical staff dosimetry, on the contrary, for interventional radiology, data are more limited. For that reason WG-12 decided to study the irradiation scenario, employing simplified anthropomorphic models (MIRD type) with Monte Carlo simulations, reconstructing some specific interventional radiology practices (PTC and TIPS). In these procedures, where the X-ray C-arm is mainly fixed in PA projection and the beam directed to the patient abdomen, the radiologist is next to the patient right side, in correspondence to the liver region. The usage of the ceiling shielding is not very frequent, due to the difficulties in positioning it between the radiation source (the X-ray and the patient as the scattering source) and the operator. The aim of the simulations program is: to evaluate the dose received by the radiologist, in a region simulating the presence of the dosemeter fixed on the lead apron at the breast level ; to estimate the corresponding effective dose ; to make a sensitivity analysis on different parameters affecting the calculated results (as the reciprocal position between the two operators, the beam quality and the X-ray field dimension). Indeed a particular attention is devoted to the eye lens dosimetry, that has become a “critical issue” for personnel dosimetry, after ICRP has reconsidered the radiation sensitivity of the lens of the eye. In the present work the general scheme, the assumptions and the followed methodology are presented with some very preliminary results of the simulations and the measurements

EURADOS Working Group-12 Studies in Interventional Radiology for Medical Staff Dosimetry

EURADOS (European Radiation Dosimetry Group) Working Group 12 (dosimetry in medical imaging) established a subtask devoted to the dosimetry of the medical staff employed in interventional radiology practices. As it is widely known, such practices are characterized by high doses, with respect the other medical procedures, both for the patient and the radiologist. For interventional cardiology there are several publications concerning medical staff dosimetry, on the contrary, for interventional radiology, data are more limited. For that reason WG-12 decided to study the irradiation scenario, employing simplified anthropomorphic models (MIRD type) with Monte Carlo simulations, reconstructing some specific interventional radiology practices (PTC and TIPS). In these procedures, where the X-ray C-arm is mainly fixed in PA projection and the beam directed to the patient abdomen, the radiologist is next to the patient right side, in correspondence to the liver region. The usage of the ceiling shielding is not very frequent, due to the difficulties in positioning it between the radiation source (the X-ray and the patient as the scattering source) and the operator. The aim of the simulations program is: to evaluate the dose received by the radiologist, in a region simulating the presence of the dosemeter fixed on the lead apron at the breast level ; to estimate the corresponding effective dose ; to make a sensitivity analysis on different parameters affecting the calculated results (as the reciprocal position between the two operators, the beam quality and the X-ray field dimension). Indeed a particular attention is devoted to the eye lens dosimetry, that has become a “critical issue” for personnel dosimetry, after ICRP has reconsidered the radiation sensitivity of the lens of the eye. In the present work the general scheme, the assumptions and the followed methodology are presented with some very preliminary results of the simulations and the measurements

Forms and Methods of Public Control over Convicts’ Social-Labor Adaptation

The article analyzes the current methods and prospective directions of the public control over the convicts’ social-labor adaptation. A historical analysis of the industrial sector development is conducted. The author studies the convict’s place and role in the system of the social penal system management. The results of using the Action Reflection Learning methodology in the convicts’ social-labor adaptation system modelling are mentionedВ статье анализируются существующие методы и перспективные направления общественного контроля социально-трудовой адаптации осужденных. Проводится исторический анализ развития промышленного сектора. Рассматриваются место и роль осужденного в системе социального управления системой исполнения наказаний. Приводятся результаты применения методологии «Action Reflection Learning» в моделировании системы социально-трудовой адаптации осужденны

Targeting social learning and engagement: What serious games and gamification can offer to participatory modeling

© 2020 Elsevier Ltd Serious games and gamification are useful tools for learning and sustaining long-term engagement in the activities that are not meant to be entertaining. However, the application of game design in the participatory modeling context remains fragmented and mostly limited to user-friendly interfaces, storytelling, and visualization for better representation of the simulation models. This paper suggests possible extensions of game design use for each stage of the participatory modeling process, aiming at better learning, communication among stakeholders, and overall engagement. The proposed extensions are based on the effects that different types of game-like applications bring to the aspects of social learning and the contribution of gamification to engagement, motivation, and enjoyment of some activities. We conclude that serious games and gamification have a high potential for improving the quality of the participatory modeling process, while also highlighting additional research that is needed for designing particular practical gamified applications in this context

INCIDENCE OF MULTIPLE MYELOMA AMONG CLEANUP WORKERS OF THE CHORNOBYL ACCIDENT AND THEIR SURVIVAL

The study presents the updated data on the multiple myeloma (MM) incidence in Ukrainian cleanup workers after the Chornobyl accident and their survival. The epidemiological analysis is based on the extended follow-up period to identify new MM cases for higher statistical power and to collect additional data on the disease course and outcome for the survival analysis. The objective of the study was to analyze the MM incidence and survival in Chornobyl cleanup workers in 1996–2013 in comparison with the national MM statistical data. Materials and Methods: A study cohort consisted of 152,520 male cleanup workers resided in one of 6 regions of Ukraine or Kyiv city and registered in the Ukrainian State Chornobyl Registry (SChR). The Cohort Database was linked to the Ukrainian National Cancer Registry (NCR) Database to identify MM cases and to analyze MM incidence in 1996– 2013. Standardized incidence ratios (SIR) for MM over the period 1996–2013 were calculated as compared to the general population of Ukraine. A 10-year lag period (when incident cases are not considered radiation-related) was applied. One-year and 5-year cause-specific survival of MM cases were calculated as percentage of those who were alive correspondingly for 1 or 5 years after diagnosis among overall diagnosed. By the moment, the 5-year survival rate either for the sub-period 2008–2013 or for the whole study period 1996–2013 cannot be determined. Vital status data were updated according to the recent SChR and NCR information. Results: 75 MM cases diagnosed in 1986–2013 were identified in the studied cohort. 69 of them were included to the incidence analysis considering a 10-year lag period. While the incidence over 15 years after the accident did not differ significantly from the corresponding rate in general population of Ukraine, a tendency to increase was seen in the period from 16 to 21 years after the accident, and significantly increased SIR estimate was revealed for 2008–2013 (SIR 1.86, 95% confidence interval (CI) 1.27–2.44). The highest incidence was detected in 2008–2013 among cohort members diagnosed over the age of 50 years mostly due to the significant excess among those aged 60–69 (SIR 2.46, 95% CI 1.32–3.59). Survival rates in cleanup workers were shown to be higher than in the general population of Ukraine (73.9% and up to 65.0%, respectively). Conclusions: SIR for the 2008– 2013 period, 22–27 years after the accident, demonstrated the significant excess of MM incidence among male cleanup workers. Survival of MM cases is higher in cleanup workers in comparison with that in general population. This article is a part of a Special Issue entitled “The Chornobyl Nuclear Accident: Thirty Years After”