scholarly journals Research directions in policy modeling: Insights from comparative analysis of recent projects

Data & Policy ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Alexander Ronzhyn ◽  
Maria A. Wimmer

Abstract With the increased availability of data and the capacity to make sense of these data, computational approaches to analyze, model and simulate public policy evolved toward viable instruments to deliberate, plan, and evaluate them in different areas of application. Such examples include infrastructure, mobility, monetary, or austerity policies, policies on different aspects of societies (health, pandemic, skills, inclusion, etc.). Technological advances along with the evolution of theoretical models and frameworks open valuable opportunities, while at the same time, posing new challenges. The paper investigates the current state of research in the domain and aims at identifying the most pressing areas for future research. This is done through both literature research of policy modeling and the analysis of research and innovation projects that either focus on policy modeling or involve it as a significant component of the research design. In the paper, 16 recent projects involving the keyword policy modeling were analyzed. The majority of projects concern the application of policy modeling to a specific domain or area of interest, while several projects tackled the cross-cutting topics (risk and crisis management). The detailed analysis of the projects led to topics of future research in the domain of policy modeling. Most prominent future research topics in policy modeling include stakeholder involvement approaches, applicability of research results, handling complexity of models, integration of models from different modeling and simulation paradigms and approaches, visualization of simulation results, real-time data processing, and scalability. These aspects require further research to appropriately contribute to further advance the field.

2021 ◽  
pp. 193-214
Author(s):  
Michael A. Xenos

Like those before them, contemporary youth are in the process of forming habits and orientations toward civic life that can establish patterns of political engagement that follow them through their lifetimes. Unlike earlier generations, however, early 21st-century “born digital” youth face a dramatically different communications environment than that experienced by their parents and grandparents. This chapter charts a path toward effective evaluation research for broadband within the specific domain of political and civic engagement among young people. After introducing core dimensions and constructs relevant to such a research program, it reviews key theoretical models as well as particularly fruitful strands of scholarship that can make important contributions to a program of broadband evaluation research focused on youth engagement. The chapter concludes with a discussion of challenges and opportunities for future research, both in terms of key substantive questions and particularly useful methodological approaches.


2019 ◽  
Vol 11 (6) ◽  
pp. 1766 ◽  
Author(s):  
Luciana Maines da Silva ◽  
Claudia Cristina Bitencourt ◽  
Kadígia Faccin ◽  
Tatiana Iakovleva

This paper contributes to the sustainability debate by analyzing the inclusion dimension in the responsible research and innovation (RRI) process. RRI is claimed to be an important tool for addressing global challenges and achieving sustainable development goals. While stakeholder involvement is considered to be imperative for the RRI process, there is little empirical evidence on (1) who the stakeholders participating in the RRI process are; (2) when stakeholders participate; (3) how stakeholders’ inclusion contributes to the sustainable innovation process; and (4) who the agents are who orchestrate stakeholders’ inclusion. This paper addresses the issue of stakeholder involvement through the lens of innovation management literature by attempting to link the innovation process to the responsibility concept. We employed a meta-synthesis of empirical studies of RRI to develop a deep understanding of stakeholder inclusion. After screening 139 articles, we identified seven empirical papers highlighting RRI process, mainly from projects nested in academic contexts. The findings indicate that multiple stakeholders are included at a late stage of the innovation process—during the market launch. To some extent, this allows for the adaptation of the solution, but such adaptations are limited in nature. This study also identifies the agents who stimulate stakeholder inclusion as being mainly academic researchers and researchers linked to multi-institutional projects. Our findings indicate that innovation management thinking is rarely applied in the governance of research and innovation projects ‘born’ in academia. We suggest enhancing RRI theoretical development by incorporating elements of innovation management such as early inclusion of users in the innovation process. For practitioners, this means an extension of the design space to allow early stakeholder inclusion in the innovation process to ensure responsible outcomes. We also identified avenues for future research. There is a need to systematically investigate which tools and frameworks for deliberate stakeholder inclusion are relevant at the various stages of the innovation and development process.


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2575
Author(s):  
Davor Cafuta ◽  
Ivica Dodig ◽  
Ivan Cesar ◽  
Tin Kramberger

Multidisciplinary approaches in science are still rare, especially in completely different fields such as agronomy science and computer science. We aim to create a state-of-the-art floating ebb and flow system greenhouse that can be used in future scientific experiments. The objective is to create a self-sufficient greenhouse with sensors, cloud connectivity, and artificial intelligence for real-time data processing and decision making. We investigated various approaches and proposed an optimal solution that can be used in much future research on plant growth in floating ebb and flow systems. A novel microclimate pocket-detection solution is proposed using an automatically guided suspended platform sensor system. Furthermore, we propose a methodology for replacing sensor data knowledge with artificial intelligence for plant health estimation. Plant health estimation allows longer ebb periods and increases the nutrient level in the final product. With intelligent design and the use of artificial intelligence algorithms, we will reduce the cost of plant research and increase the usability and reliability of research data. Thus, our newly developed greenhouse would be more suitable for plant growth research and production.


2018 ◽  
Author(s):  
Jay Joseph Van Bavel

We review literature from several fields to describe common experimental tasks used to measure human cooperation as well as the theoretical models that have been used to characterize cooperative decision-making, as well as brain regions implicated in cooperation. Building on work in neuroeconomics, we suggest a value-based account may provide the most powerful understanding the psychology and neuroscience of group cooperation. We also review the role of individual differences and social context in shaping the mental processes that underlie cooperation and consider gaps in the literature and potential directions for future research on the social neuroscience of cooperation. We suggest that this multi-level approach provides a more comprehensive understanding of the mental and neural processes that underlie the decision to cooperate with others.


Author(s):  
James C.  Root ◽  
Elizabeth Ryan ◽  
Tim A. Ahles

As the population of cancer survivors has grown into the millions, there is increasing emphasis on understanding how late effects of treatment impact survivors’ ability return to work/school, ability to function and live independently, and overall quality of life. Cognitive changes are one of the most feared problems among cancer survivors. This chapter describes the growing literature examining cognitive changes associated with non-central nervous system cancer and cancer treatment. Typical elements of cancer treatment are discussed, followed by a description of clinical presentation, self-reported and objectively assessed cognitive findings, and results of structural and functional neuroimaging research. Genetic and other risk factors for cognitive decline following treatment are identified and discussed, together with biomarkers and animal models of treatment-related effects. This is followed by a discussion of behavioral and pharmacologic treatments. Finally, challenges and recommendations for future research are provided to help guide subsequent research and theoretical models.


Author(s):  
Kelly C. Allison ◽  
Jennifer D. Lundgren

The Diagnostic and Statistical Manual, fifth edition, of the American Psychiatric Association (2013) has designated several disorders under the diagnosis of otherwise specified feeding and eating disorder (OSFED). This chapter evaluates three of these, night eating syndrome (NES), purging disorder (PD), and atypical anorexia nervosa (atypical AN). It also reviews orthorexia nervosa, which has been discussed in the clinical realm as well as the popular press. The history and definition for each is reviewed, relevant theoretical models are presented and compared, and evidence for the usefulness of the models is described. Empirical studies examining the disorders’ independence from other disorders, comorbid psychopathology, and, when available, medical comorbidities, are discussed. Distress and impairment in functioning seem comparable between at least three of these emerging disorders and threshold eating disorders. Finally, remaining questions for future research are summarized.


J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4710
Author(s):  
Mariusz Kostrzewski ◽  
Rafał Melnik

Condition monitoring of rail transport systems has become a phenomenon of global interest over the past half a century. The approaches to condition monitoring of various rail transport systems—especially in the context of rail vehicle subsystem and track subsystem monitoring—have been evolving, and have become equally significant and challenging. The evolution of the approaches applied to rail systems’ condition monitoring has followed manual maintenance, through methods connected to the application of sensors, up to the currently discussed methods and techniques focused on the mutual use of automation, data processing, and exchange. The aim of this paper is to provide an essential overview of the academic research on the condition monitoring of rail transport systems. This paper reviews existing literature in order to present an up-to-date, content-based analysis based on a coupled methodology consisting of bibliometric performance analysis and systematic literature review. This combination of literature review approaches allows the authors to focus on the identification of the most influential contributors to the advances in research in the analyzed area of interest, and the most influential and prominent researchers, journals, and papers. These findings have led the authors to specify research trends related to the analyzed area, and additionally identify future research agendas in the investigation from engineering perspectives.


Author(s):  
Piotr Michoń

AbstractThe need for qualitative research of deservingness perception is strongly emphasised in the literature. This article studies the perception of deservingness for a "Family 500 +"—cash benefit in Poland. For the first time, data from online forums was used in the studies of deservingness and welfare attitudes. It allowed to avoid numerous limitations associated with social surveys. The qualitative analysis showed how participants of Internet debates perceive the criteria of deservingness: control, attitude, reciprocity, identity, need, and what are the relations between the criteria. The impurity of all deservingness criteria was indicated and a new criterion “adequacy” was proposed. Moreover due to the fact that the study concerned a concrete, non-abstract family cash benefit addressed the relationship between the perceived deservingness of children and their parents was pointed out. The vast majority of posts on Internet forums referred to deservingness of parents, not children. This is particularly evident in relation to the criteria of control and reciprocity. Presenting the hypothesis of jealousy and scapegoat strategy, the article also shows the direction of future research on deservingness.


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