Police CrimeStat

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.

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COVID-19 Dashboard Experiences – Lessons learned

Abstracts of the ICA ◽

10.5194/ica-abs-2-1-2020 ◽

2020 ◽

Vol 2 ◽

pp. 1-1

Author(s):

Gerd Buziek

Keyword(s):

Decision Making ◽

Disaster Response ◽

Data Dissemination ◽

Data Gathering ◽

Crisis Response ◽

Lessons Learned ◽

Spatiotemporal Patterns ◽

Robert Koch Institute ◽

Crisis Prevention ◽

Decision Making Processes

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.

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POTENTIAL PLACES OF REFUGE FOR SHIPS IN DISTRESS–THE CALIFORNIA APPROACH TO DEVELOPING DATA CAPTURE AND DECISION-MAKING PROCESSES

International Oil Spill Conference Proceedings ◽

10.7901/2169-3358-2008-1-1067 ◽

2008 ◽

Vol 2008 (1) ◽

pp. 1067-1070 ◽

Cited By ~ 1

Author(s):

Ellen Faurot-Daniels ◽

Kelly Dietrich

Keyword(s):

Decision Making ◽

Coastal Area ◽

Stakeholder Involvement ◽

Data Gathering ◽

Coast Guard ◽

Decision Makers ◽

Contingency Planning ◽

Response Team ◽

Decision Making Processes ◽

Unified Command

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.

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Development Practices of Trusted AI Systems among Canadian Data Scientists

The International Review of Information Ethics ◽

10.29173/irie377 ◽

2020 ◽

Vol 28 ◽

Author(s):

Jinnie Shin ◽

Okan Bulut ◽

Mark J. Gierl

Keyword(s):

Artificial Intelligence ◽

Decision Making ◽

System Development ◽

Careful Consideration ◽

Successful Performance ◽

Self Confidence ◽

Canadian Data ◽

Decision Making Processes

The introduction of Artificial Intelligence (AI) systems has demonstrated impeccable potential and benefits to enhance the decision-making processes in our society. However, despite the successful performance of AI systems to date, skepticism and concern remain regarding whether AI systems could form a trusting relationship with human users. Developing trusted AI systems requires careful consideration and evaluation of its reproducibility, interpretability, and fairness, which in in turn, poses increased expectations and responsibilities for data scientists. Therefore, the current study focused on understanding Canadian data scientists’ self-confidence in creating trusted AI systems, while relying on their current AI system development practices.

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A Generalization of the Theory of Expertons

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ◽

10.1142/s021848851840007x ◽

2018 ◽

Vol 26 (Suppl. 1) ◽

pp. 121-139 ◽

Cited By ~ 3

Author(s):

Joan Carles Ferrer-Comalat ◽

Salvador Linares-Mustarós ◽

Dolors Corominas-Coll

Keyword(s):

Social Sciences ◽

Decision Making ◽

Fuzzy Logic ◽

Data Fusion ◽

Expert Systems ◽

Data Gathering ◽

New Approach ◽

The Social ◽

Support Element ◽

Decision Making Processes

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.

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Selected Security Information Systems

Internal Security ◽

10.5604/01.3001.0014.6695 ◽

2020 ◽

Vol 12 (2) ◽

pp. 38-39

Author(s):

Jarosław Radosław Truchan

Keyword(s):

Decision Making ◽

Relevant Information ◽

Public Order ◽

Police Academy ◽

Specific Situation ◽

It Systems ◽

Decision Making Processes ◽

Security Information ◽

Analysis System ◽

National Police

At present, one of the main areas ensuring the proper functioning of services responsible for security is ICT systems, which are used to obtain, store and process relevant information and to support the performance of statutory tasks. When carrying out their statutory tasks, the Polish police use centralised, advanced IT systems and databases, e.g. the National Police Information System (hereinafter referred to as the KSIP). At the same time, the development of technology generates the need to constantly modify this line of activity. The necessity of being adaptable to the ever-changing environment has encouraged the Police Academy in Szczytno and its partners to launch the project entitled: Information and analysis system to support risk management when planning and carrying out police operations (hereinafter referred to as the SIA). Innovative in nature, the project is being implemented based on, among others, expert interviews conducted among police commanding officers. The SIA is being built using the data collected and stored in the police ICT systems and obtained from other sources. The works will result in the development of a possibly full application with planning and decision-making mechanisms and forecasting algorithms, which will provide information on probable successes and necessary investments in possible scenarios of police activities to be undertaken in a specific situation of massive disturbance to public order and safety. The proposed solution is the IT system that serves both as a presentation and simulation of possible incidents in the virtual environment. The author presents the functioning of selected modern ICT systems, and their role and importance in supporting decision-making processes when ensuring public order and safety.

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Cognitive Processing of Miscommunication in Interactive Listening: An Evaluation of Listener Indecision and Cognitive Effort

Journal of Speech Language and Hearing Research ◽

10.1044/2020_jslhr-20-00128 ◽

2021 ◽

pp. 1-17

Author(s):

Jennifer M. Roche ◽

Arkady Zgonnikov ◽

Laura M. Morett

Keyword(s):

Decision Making ◽

Cognitive Processing ◽

Language Processing ◽

Cognitive Effort ◽

Mouse Tracking ◽

Computer Mouse ◽

Decision Making Processes ◽

Computer Mouse Tracking ◽

Listening Task ◽

Processing Effort

Purpose The purpose of the current study was to evaluate the social and cognitive underpinnings of miscommunication during an interactive listening task. Method An eye and computer mouse–tracking visual-world paradigm was used to investigate how a listener's cognitive effort (local and global) and decision-making processes were affected by a speaker's use of ambiguity that led to a miscommunication. Results Experiments 1 and 2 found that an environmental cue that made a miscommunication more or less salient impacted listener language processing effort (eye-tracking). Experiment 2 also indicated that listeners may develop different processing heuristics dependent upon the speaker's use of ambiguity that led to a miscommunication, exerting a significant impact on cognition and decision making. We also found that perspective-taking effort and decision-making complexity metrics (computer mouse tracking) predict language processing effort, indicating that instances of miscommunication produced cognitive consequences of indecision, thinking, and cognitive pull. Conclusion Together, these results indicate that listeners behave both reciprocally and adaptively when miscommunications occur, but the way they respond is largely dependent upon the type of ambiguity and how often it is produced by the speaker.

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“It's Not Humanly Possible to Do Everything”: Perspectives on Intervention Decision-Making Processes of Parents of Children with Autism Spectrum Disorders

Perspectives on Language Learning and Education ◽

10.1044/lle22.1.13 ◽

2015 ◽

Vol 22 (1) ◽

pp. 13-21 ◽

Cited By ~ 5

Author(s):

Erinn Finke ◽

Kathryn Drager ◽

Elizabeth C. Serpentine

Keyword(s):

Decision Making ◽

Individualized Education Program ◽

Children With Autism ◽

Autism Spectrum ◽

Sources Of Information ◽

Individual Decision ◽

Decision Making Processes ◽

Spectrum Disorders ◽

Interview Methodology ◽

Communication Interventions

Purpose The purpose of this investigation was to understand the decision-making processes used by parents of children with autism spectrum disorder (ASD) related to communication-based interventions. Method Qualitative interview methodology was used. Data were gathered through interviews. Each parent had a child with ASD who was at least four-years-old; lived with their child with ASD; had a child with ASD without functional speech for communication; and used at least two different communication interventions. Results Parents considered several sources of information for learning about interventions and provided various reasons to initiate and discontinue a communication intervention. Parents also discussed challenges introduced once opinions of the school individualized education program (IEP) team had to be considered. Conclusions Parents of children with ASD primarily use individual decision-making processes to select interventions. This discrepancy speaks to the need for parents and professionals to share a common “language” about interventions and the decision-making process.

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