scholarly journals COVID-19 Dashboard Experiences – Lessons learned

2020 ◽  
Vol 2 ◽  
pp. 1-1
Author(s):  
Gerd Buziek

Abstract. As of March 2020, Esri Germany administers the Berlin based Robert Koch-Institute official COVID-19 Dashboard (Figure 1). During Esri’s evolvement both, organizational and technical processes have had to be built from scratch. Our objective was to keep society, as well as the disaster response units 24/7 informed about the spatiotemporal patterns of Corona pandemic. To achieve this several challenges had to be overcome. These challenges ranged from data gathering to data dissemination, from the delivery of COVID-19 information to the general public, as well as to the crisis prevention teams, and from the communication to individuals as well as to various specialists such as data journalists. Having a COVID-19 dashboard online results in a lot of publicity to the provider, but also requires a lot of effort to deliver a reliable and sustainable COVID-19 service, as many external decision making processes depend on the dashboard and the data which drives it. This presentation is not only about how we provided this service but will also include a look at the lessons learnt and how we can be best prepared for future spatiotemporal phenomena to help crisis response and perhaps even prevention.

Author(s):  
C. L. Yeung ◽  
C. F. Cheung ◽  
W. M. Wang ◽  
E. Tsui

This paper presents an overview of current decision making approaches. For some approaches abstract information is provided, whereas others require a large amount of labor and time resources to facilitate decision making. However, few address the issues of assisting participants in learning how to make decisions and provide prompt responses to the situations. Harnessing lessons learned from making inappropriate decisions is expensive. To redress this problem, this paper presents a pilot study of the investigation of the psychological behaviors of humans to improve decision making processes with the use of organizational narrative simulation (ONS). By using the ONS method, possible and plausible narrative-based environments can be simulated. Participants can take actions based on their decisions; they can also observe the changes and the consequences. The decisions for handling new challenges generated purposely are validated in a trial that allows prompt responses to the situations. The ONS method is implemented in a selected reference site. The implementation processes, findings, and benefits are presented.


2011 ◽  
Vol 2 (3) ◽  
pp. 26-41
Author(s):  
C. L. Yeung ◽  
C. F. Cheung ◽  
W. M. Wang ◽  
E. Tsui

This paper presents an overview of current decision making approaches. For some approaches abstract information is provided, whereas others require a large amount of labor and time resources to facilitate decision making. However, few address the issues of assisting participants in learning how to make decisions and provide prompt responses to the situations. Harnessing lessons learned from making inappropriate decisions is expensive. To redress this problem, this paper presents a pilot study of the investigation of the psychological behaviors of humans to improve decision making processes with the use of organizational narrative simulation (ONS). By using the ONS method, possible and plausible narrative-based environments can be simulated. Participants can take actions based on their decisions; they can also observe the changes and the consequences. The decisions for handling new challenges generated purposely are validated in a trial that allows prompt responses to the situations. The ONS method is implemented in a selected reference site. The implementation processes, findings, and benefits are presented.


2008 ◽  
Vol 2008 (1) ◽  
pp. 1067-1070 ◽  
Author(s):  
Ellen Faurot-Daniels ◽  
Kelly Dietrich

ABSTRACT California'S coastal Area Contingency Planning Committees began the process to develop “California Distressed Vessel/Potential Places of Refuge (PPOR)” data-gathering and decision-making tools in July 2006. The first step in this process was for members of California'S statewide Area Contingency Plan (ACP) Committee to be open to the possibility they may allow a distressed vessels into their backyard. Next, they were challenged with representing non-situational data in a common data collection format for use by all six California coastal Area Committees. Modeled largely on the PPOR products developed in Alaska, the committee relied on the Regional Response Team IX Guidelines, and the Commandant Instruction (COMDTINST) 16451.9 U.S. Coast Guard Places of Refuge Policy Enclosure (2) (POR Job Aid) resources. Stakeholder involvement throughout this process helps to establish realistic expectations in advance and build trust between stakeholders and decision makers. The populated databases, located in the ACPs, will support incident-specific decision-making and risk assessment anywhere in California by any California Federal On-Scene Coordinator or Unified Command during an actual Places of Refuge (POR) event.


Author(s):  
Henry Lamos Díaz ◽  
Karin Aguilar Imitola ◽  
Rolando José Acosta Amado

The unexpectedness of natural disasters makes handling their impacts on the population, the environment and the economic resources a challenging decision-making process that must be wisely performed in a very short period of time.  The process involves the allocation of scarce resources to deliver aid and relief to the affected population in order to minimize the consequences of the event. An adequate management of operations to disaster response is challenging for decision makers and it has become a topic of significant relevance on a worldwide basis. As a result, academics and practitioners in the field of OR/MS have increased their interest in developing tools to support the decision-making processes on a disaster scenario.  This paper surveys the OR/MS literature to identify new trends of increasing interest in disaster operations management (DOM) that have emerged in the last five years. A discussion on the gaps that have been successfully addressed in the last five years and those that remain opened is also presented.


2018 ◽  
Vol 26 (Suppl. 1) ◽  
pp. 121-139 ◽  
Author(s):  
Joan Carles Ferrer-Comalat ◽  
Salvador Linares-Mustarós ◽  
Dolors Corominas-Coll

With the advent of fuzzy logic applications in the field of economics and in the context of expert systems we are witnessing a new approach to data-gathering methods as the aggregation of data provided by various experts brings with it new data fusion techniques. In 1987, the exploration of these techniques gave rise to the experton concept as an integrating element that allows the collection of all information expressed by a group of experts relating to the level or degree of truth of a statement or the degree of fulfilment of a certain vague or imprecise characteristic. Over the thirty years since its formulation, the experton concept has been applied as a support element in decision-making processes in many areas of the social sciences. The aim of this article is to present a generalization of the experton concept for both the discrete and continuous cases, which respects known properties and has the potential to be practically applied in various situations where there is a need to perform a simulation of various opinion scenarios relating to a characteristic or statement, and thus explore new approaches to decision-making models.


Author(s):  
Paul L. Drnevich ◽  
Thomas H. Brush ◽  
Alok Chaturvedi

Most strategic decision-making (SDM) approaches advocate the importance of decision-making processes and response choices for obtaining effective outcomes. Modern decision-making support system (DMSS) technology is often also needed for complex SDM, with recent research calling for more integrative DMSS approaches. However, scholars tend to take disintegrated approaches and disagree on whether rational or political decision-making processes result in more effective decision outcomes. In this study, the authors examine these issues by first exploring some of the competing theoretical arguments for the process-choice-effectiveness relationship, and then test these relationships empirically using data from a crisis response training exercise using an intelligent agent-based DMSS. In contrast to prior research, findings indicate that rational decision processes are not effective in crisis contexts, and that political decision processes may negatively influence both response choice and decision effectiveness. These results offer empirical evidence to confirm prior unsupported arguments that response choice is an important mediating factor between the decision-making process and its effectiveness. The authors conclude with a discussion of the implications of these findings and the application of agent-based simulation DMSS technologies for academic research and practice.


2020 ◽  
Vol 3 (2) ◽  
pp. 179-180
Author(s):  
Elnelyn C. Oberio ◽  
Markh B. Jamandre

This project aimed to automate the manual entry of the incident reports of the Philippine National Police. The system is projected to provide effective monitoring and updated statistical reports that will be used for decision-making processes.  All police stations within the designated area will have an installed application that is centralized nationwide. Thus, data analysis would be easier and useful for law enforcement agencies for long-term crime bust programs. The system has the following specific objectives: first is to provide easier access to blotter reports, to improve decision making with interactive maps, to promote information sharing, and lastly, to offer statistical information of incidents. Evaluation of incident reports by an authorized officer is necessary before encoding them into the system. The data that the system needs includes the following: complainant and suspect's name(s), case details, and the type of offense. Inputted incident reports can be seen by the central office and other police stations; however, data manipulation is accessed only in the central office.  The system can search and display case details in a printable format based on the user's specified query. By utilizing the Google map application program interface (API), the user can quickly locate and see the crime's exact location.  This particular feature is challenging because there is a need to structure a detailed data mining design to promptly generate reliable reports. Once data are encoded in the system, the central office can create reports according to their needs. The system development started with data gathering by interviewing the Non-Uniform Personnel of Murcia Police station and performed the requirements analysis for the system.


2021 ◽  
Author(s):  
Natasha Esteves ◽  
Christopher J. Buttimer ◽  
Farah Faruqi ◽  
Aïcha Soukab ◽  
Raelee Fourkiller ◽  
...  

To develop an in-depth, nuanced understanding of what teaching was like during the COVID-impacted 2020-21 academic school year, we interviewed 57 U.S. PK-12 teachers from across the country in public, charter, and private schools, at different grade levels, and in different subject areas. The primary message we heard from teachers is that they have not been valued as partners in designing our educational response to COVID. Specifically, the following three themes emerged from our interviews: 1.) exclusion from decision-making processes is demoralizing to teachers, especially when combined with worsening working conditions and widening inequalities; 2.) ignoring the concerns of teachers led to policymakers and school leaders advancing several seriously ill-considered ideas over the objections of practicing teachers; and 3.) teachers have developed a variety of effective instructional strategies in response to the challenging conditions of COVID. Delta is already disrupting school openings across the country. The school systems with the most effective approaches to pandemic schooling over the next year and beyond will be those that listen seriously to the concerns and insights of teachers and include them in design and decision-making.


Author(s):  
Keith Clement

This case study discusses the role of education, curriculum development, research, and service in supporting information systems for crisis response management. The study describes the Council for Emergency Management and Homeland Security (CEMHS) organization that designs and develops academic programs and courses in these specialized areas. CEMHS combines all levels of education in California (from K-12 and postsecondary education) into a “state-wide solution” and network of academicians and professionals in emergency and disaster management, crisis response, and homeland security education and training. The organizational purpose is constructing a “vertical track” of academic programs and specialized programs to benefit and enhance information resource and crisis management. The implications and lessons learned from building collaborative partnerships between the crisis and disaster response academic and professional communities in academic program development and research initiatives are also discussed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zul-Atfi Ismail

Purpose The conventional e-complaint method provides a platform that contains multiple data sources of an infrastructure project, including building facilities, associated asset documentation of the asset. However, the conventional e-complaint method practised by the Development and Facilities Management Unit (UPPF) faces issues due to management deficiencies and negligent staff to handle operations and maintenance processes within facilities management at Malaysian Polytechnic. This paper aims to identify the different maintenance management system (MMS) approaches using information and communication technology that is equipped with decision-making processes. Design/methodology/approach This research presents eight cases of the use of e-complaint in major facilities management platforms in Malaysian Polytechnic, identifying the major problems using the conventional e-complaint method, the current technologies realised, as well as the procedures for learning and improving e-complaint to the Polytechnic institution. The major conclusion drawn from the interview results was that there is a lack of comprehensive MMSs that integrate operations and maintenance processes within facilities management and software programming to provide guidelines for decision-making processes. Findings The findings demonstrate that the conventional e-complaint method cannot be used effectively to support the defect diagnosis process during maintenance assessment and development. The case studies further demonstrated that the conventional e-complaint method will be particularly led to inadequate strategic decision-making to analyse information to improve the maintenance project outcomes for Malaysian Polytechnic’s buildings, thereby, ignoring the accuracy and reliability of information for operations and maintenance. New MMS tools are suggested from the findings and lessons learned as a good practice to reduce defect repetition on the design specifications used and construction methods practised. Originality/value Due to the increasingly complex nature of projects in terms of size and information technology, realising these current technologies would require a learning process for all stakeholders involved in financial and managing assets. This research proposes stepped change and learning opportunity for maintenance value maximisation and delivery, management and operation efficiency using MMS. The new MMS can potentially transform operational and maintenance processes within facilities management into one of the most sophisticated technologies by accommodating data recordings, such as complaints and specific items needed for maintenance through the internet and intranet to facilitate improved execution of Polytechnic’s building activities.


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