Evaluation of the Implementation of Crime Prevention Strategies of the Philippine National Police in Ormoc City, Leyte in the Context of the Covid-19 Pandemic

The COVID-19 Pandemic had made the Philippines to face various expanding crime rates which became a valuable issue in the country. These wrongdoings had operationally pushed the Philippine National Police to see and assess different crime activities that had been concurring consistently. This made the PNP to established community public security which then is called to be crime prevention strategies. This confronts the transition of different conflicting state including actions that inflicts harm to the populace. However, the known implemented strategies were not observed whether these promotes consistent advantage security or implementation were not addressed properly. Therefore, this study aims to determine the evaluation of the implementation of crime prevention strategies of the Philippine National Police in Ormoc City, Leyte in the Context of the COVID-19 Pandemic. A descriptive quantitative was used in purposive sampling was employed to obtain the 125 respondents of the study mainly PNP personnel and barangay captain. A self-constructed questionnaire with 4-point Likert scale has undergone a pilot study among 25 known respondents wherein the actual run was done through online survey. The result had shown that indicators including the crime prevention activities as to prevention strategies shows no significant differences. However, sustainability of the strategies establishes relationship with the demographic profile. Therefore, the study had concluded that the null hypothesis must be accepted which pertains that the strategies of the PNP towards crime prevention is not highly significant with the demographic profile. [ FROM AUTHOR] Copyright of International Journal of Multidisciplinary: Applied Business & Education Research is the property of Future Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Trade-based money laundering and informal remittance services: implications on the sustainability of the balance of payments of a small open economy

PurposeThis study aims to discuss the consequences of trade-based money laundering (TBML) and informal remittance services on the sustainability of the position of balance of payments and net foreign assets of a small open economy.Design/methodology/approachThis paper uses a case study design using facts related to TBML and informal remittance services on the balance of payment and net foreign assets of Sri Lanka.FindingsThe contextual analysis reveals that the growth of the informal economy promotes informal remittance services in Sri Lanka. The policy decision to peg local currency to US dollars as a result of a shortage of foreign exchange had forced people to use informal channels for different purposes. The unclear and vague customer due diligence process of the anti-money laundering and countering the financing of terrorism (AML/CFT) regime also has forced people to use informal remittance services. Criminals especially drug traffickers have grabbed the promoted informal remittance services to transfer proceeds from Sri Lanka to overseas drug suppliers. On the other hand, systematic deficiencies in monitoring and regulation of movement of fund transfers and merchandise across borders provide opportunities for criminals to use different TBML techniques to transfer funds. These limitations force policymakers and regulators to think of developing a comprehensive payment ecosystem to prevent money laundering and terrorist financing. Therefore, the global initiative is required to move towards a payment ecosystem from a recommendation-based AML/CFT regime to reduce global crimes.Research limitations/implicationsThis study was designed to discuss the implications of TBML and informal remittance services on the balance of payments and net foreign assets in a small open economy. The structure and size of the economy, the strength of the overall economy and the AML/CFT regime will play an important role in controlling criminal activities and combating money laundering of an economy;hence, the impact of TBML and informal remittance services will vary accordingly across the countriesOriginality/valueThis paper is an original work done by the authors, which discusses the implications of TBML and informal remittance services on the balance of payments and net foreign assets of an emerging market context.

The handbook of security

The substantially revised third edition of The Handbook of Security provides the most comprehensive analysis of scholarly security debates and issues to date. It reflects the developments in security technology, the convergence of the cyber and security worlds, and the fact that security management has become even more business focused. It covers newer topics like terrorism, violence, and cybercrime through various offence types such as commercial robbery and bribery. This handbook comprises mostly brand new chapters and a few thoroughly revised chapters, with discussions of the impact of the pandemic. It includes contributions from some of the world's leading scholars from an even broader geographic scale to critique the way security is provided and managed. It speaks to professionals working in security and students studying security-related courses. Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022. All rights reserved.

Entrepreneurship Networks in the Covid-19 era

[...]those with more educational background and experience in the processes will be considered talents. If rational choice and human capital reflect a propositional audience style that coexists with inhibitory styles of entrepreneurship and innovation, then business models must adjust to this complex dialectic, while identifying the reasons for actions, it will be possible to establish a dialogue to highlight the competitive advantages of the product or service that is intended to be carried out on the Internet, social networks or email. [...]the construction of a civil agenda or social selfmanagement supposes the informative diffusion of the demands and resources, opportunities and capacities, since it is the digital networks that question the public agenda -Trolling-, or, better said, strengthen it - Stalking, Trending [11]. [...]cyber political entrepreneurship refers to the intensive use of Information and Communication Technologies, as well as electronic devices for the establishment of an agenda regarding trolling, stalking or the tendency towards a political figure or process. The model includes hypotheses of correlation trajectories between the variables used by the state of knowledge to explain: the establishment of an educational, scientific and technological agenda;professional training of human capital, talents and leadership;knowledge networks around strategic alliances between universities and for-profit organizations;the quality of educational processes and products

Prevalence of Physical Violence in the Medical-Forensic Approach in the Years 2015-2020 in City and Neighboring Municipalities: Perspectives from Poland-Poznan Study.

Forensic medical opinions serve the appropriate classification of a crime against health. Violence, a multifaceted phenomenon, requires forensic medical examination in the case of causing damage to health. Due to the effects caused by the perpetrator, the damage to health is divided into severe, medium, and light. This study analyzed 7689 incidents of violence from 2015-2020, taking place in the area subordinate to the Provincial Police Headquarters in Poznan, based on anonymized documentation of forensic medical examinations performed at the Department of Forensic Medicine in Poznan at the request of the Police and privately. The analysis took into account: units ordering the test, type of exposure, medical help, sex and age of the victim, places of the incident, classification and localization of injury, manner of impact, attitude of the perpetrator to the victim, profession of the victim, gender of the perpetrator, and remarks. In Poland, statistics on violence victims are underestimated, resulting from the low reporting of crimes committed to law enforcement authorities. There is a need for programs to educate the perpetrator of violence on methods of conflict resolution and programs to prevent violence, covering events taking place in public spaces.

QACM: Quality Aware Crowd Sensing in Mobile Computing

Mobile computing is one of the significant opportunities that can be used for various practical applications in numerous fields in real life. Due to inherent characteristics of ubiquitous computing, devices can gather numerous types of data that led to innovative applications in many fields with a unique emerging prototype known as Crowd sensing. Here, the involvement of people is one of the important features and their mobility provides an exclusive opportunity to collect and transmit the data over a substantial geographical area. Thus, we put forward novel idea about Quality of Information (QOI) with unique parameters with opportunistic uniqueness of people's mobility in terms of sensing and transmission. Additionally, we propose some of the viable improved ideas about the competent opportunistic data collection through efficient techniques. This work also considered some of the open issues mentioned by previous related works.

Object detection and activity recognition in video surveillance using neural networks

Purpose: This paper aims to implement and extend the You Only Live Once (YOLO) algorithm for detection of objects and activities. The advantage of YOLO is that it only runs a neural network once to detect the objects in an image, which is why it is powerful and fast. Cameras are found at many different crossroads and locations, but video processing of the feed through an object detection algorithm allows determining and tracking what is captured. Video Surveillance has many applications such as Car Tracking and tracking of people related to crime prevention. This paper provides exhaustive comparison between the existing methods and proposed method. Proposed method is found to have highest object detection accuracy. Design/methodology/approach: The goal of this research is to develop a deep learning framework to automate the task of analyzing video footage through object detection in images. This framework processes video feed or image frames from CCTV, webcam or a DroidCam, which allows the camera in a mobile phone to be used as a webcam for a laptop. The object detection algorithm, with its model trained on a large data set of images, is able to load in each image given as an input, process the image and determine the categories of the matching objects that it finds. As a proof of concept, this research demonstrates the algorithm on images of several different objects. This research implements and extends the YOLO algorithm for detection of objects and activities. The advantage of YOLO is that it only runs a neural network once to detect the objects in an image, which is why it is powerful and fast. Cameras are found at many different crossroads and locations, but video processing of the feed through an object detection algorithm allows determining and tracking what is captured. For video surveillance of traffic cameras, this has many applications, such as car tracking and person tracking for crime prevention. In this research, the implemented algorithm with the proposed methodology is compared against several different prior existing methods in literature. The proposed method was found to have the highest object detection accuracy for object detection and activity recognition, better than other existing methods. Findings: The results indicate that the proposed deep learning–based model can be implemented in real-time for object detection and activity recognition. The added features of car crash detection, fall detection and social distancing detection can be used to implement a real-time video surveillance system that can help save lives and protect people. Such a real-time video surveillance system could be installed at street and traffic cameras and in CCTV systems. When this system would detect a car crash or a fatal human or pedestrian fall with injury, it can be programmed to send automatic messages to the nearest local police, emergency and fire stations. When this system would detect a social distancing violation, it can be programmed to inform the local authorities or sound an alarm with a warning message to alert the public to maintain their distance and avoid spreading their aerosol particles that may cause the spread of viruses, including the COVID-19 virus. Originality/value: This paper proposes an improved and augmented version of the YOLOv3 model that has been extended to perform activity recognition, such as car crash detection, human fall detection and social distancing detection. The proposed model is based on a deep learning convolutional neural network model used to detect objects in images. The model is trained using the widely used and publicly available Common Objects in Context data set. The proposed model, being an extension of YOLO, can be implemented for real-time object and activity recognition. The proposed model had higher accuracies for both large-scale and all-scale object detection. This proposed model also exceeded all the other previous methods that were compared in extending and augmenting the object detection to activity recognition. The proposed model resulted in the highest accuracy for car crash detection, fall detection and social distancing detection. © 2023, Emerald Publishing Limited.

Independence and impact: a typology of researcher-user relationships for policing and crime prevention

The transition from 'Mode 1' to 'Mode 2' knowledge-production has created an explicit focus on research impact which is reflected in the funding and organisation of research, the relationships between research and users, and the focus of research studies. It has also led to efforts to understand pathways to impact, although these studies have so far had little to say specifically about crime-related research. This paper comprises an effort to address this gap and explore variations in research-user relationships within research into policing and crime prevention. An ESRC-funded project researching the crime consequences of the Covid-19 pandemic, of which we were team members, faced several challenges in terms of data access, data collection and the need to deliver strong academic research outputs, as well as maintaining a clear focus on real world research impacts. This led to a co-productive relationship between the researchers and a range of external partners. There is a dearth of literature theorising the nature of such researcher-user relationships, despite some rich accounts of individual experiences. This paper uses examples drawn from the writings of those who have been involved in research impacts (or who have been thwarted in their attempts), to set alongside the project on which we have been working. From this we present a typology of researcher-user relationships, that we hope will further theoretical discussion in the field and might usefully be applied more broadly to other areas of criminological interest. [ FROM AUTHOR] Copyright of Policing & Society is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Community Resilience during the COVID 19 Pandemic: Experiences of Community-Based Violence Prevention and Recidivism Reduction Program Administrators.

Community-based agencies play a notable role in local violence prevention and reentry services in the United States. The COVID-19 pandemic and governmental responses to contain its spread fundamentally transformed the day-to-day lives of most individuals and the workplace. This study examined the challenges experienced and adaptations employed by community-based organizations as they navigated shelter-in-place orders and other workplace and community restrictions. Between July and September of 2020, researchers completed 16 semi-structured interviews with agency administrators of community-based organizations serving at-risk youth or formerly incarcerated persons operating in a large Midwestern city. The findings highlight several challenges faced by agency administrators as they attempted to maintain services to their clients, including having to move from largely in-person service modalities to methods of contact and communication that embraced social distancing and virtual interaction. They also actively responded to the health safety needs of their staff, clients, and community by instituting new safety protocols, like staff and client COVID-19 testing, handing out personal protection equipment and supplies, and educating community members. The findings demonstrate a high degree of community mobilization and resilience in light of a global crisis.

Ramifications of the lockdown on community police relations during the Covid-19 pandemic in South Africa

Societies' views concerning the Criminal Justice System institutions are shaped not only by opportunities to interact with such institutions during normal work but also in part by efforts due to the larger mission (of these institutions) of encouraging and supporting such attitudes. Due to the global COVID 19 pandemic, most countries have implemented a lockdown as an initiative to control the spread of the vims. South Africa is no exception as the country joined most countries and announced the national lockdown in March 2020. With the national lockdown, Criminal Justice agencies such as the South African Police Service (SAPS) and the South African National Defence Force (SANDF) were deployed across the country to ensure compliance with the lockdown regulations. The police are the most visible and powerful arm of the state, the nature of the state and the way it is perceived has a profound impact on police-community relations and vice versa. With South Africa's pronouncement of the national lockdown and state of emergency due to the pandemic, more inquiries and investigations into police practice during the national lockdown will be made. It is precisely in this context that this study aims to reflect on police-community relations during the national lockdown. A criminological analysis on the ramifications of the dented police-community relations due to the national lockdown will be explored. With the national lockdown regulations, clearly gazetted, this study will also employ criminological theories to further interrogate the regulations that impacted on the dented police-community relations.

Police officers' punitiveness in the context of the COVID-19 pandemic: the role of fear, attribution and self-legitimacy

PurposeThe focus of this study is to examine Indian police officers' punitiveness toward violators of criminal sanctions attached to COVID-19 mitigation laws enacted by the Indian Penal Code. The authors draw from the conceptual frameworks and correlates typically employed in traditional crime and justice research and adapt them to the context of the pandemic. Additionally, the authors examine whether officers' punitive attitudes are related to their belief in self-legitimacy and their job assignment (civilian vs. armed personnel) in a country with inherited colonial policing legacies.Design/methodology/approachData for the study came from 1,323 police officers in a northern state of India.FindingsFindings suggest that officers with vicarious fear of COVID-19 infections (e.g. infection of family members) find the sanctions associated with the new laws harsh. Additionally, officers who subscribe to the classical attributions of offenders feel that the laws are not punitive enough. In contrast, those with deterministic views perceive the sanctions as excessively harsh. Findings also suggest that officers' self-legitimacy, and belief in the authority and responsibility vested in them, is a key predictor of their punitive attitudes. Finally, officers assigned to police lines are more punitive than those designated to patrol/traffic work.Research limitations/implicationsData or prior research on officers' punitive attitudes toward other violations (non-COVID-19 violations) is unavailable for comparison with this study's findings.Originality/valueNo prior research has examined the relationship between police officers' perceptions of self-legitimacy, their belief in the authority vested in them by the state, their belief in their role as police officers and their relationship to their punitive attitudes.

Fumbling out the effective pathways to apply the wildlife and forest analytic toolkit in the Mekong region: looking at data and analysis perspectives

The Wildlife and Forest Analytic Toolkit, introduced by the International Consortium on Combating Wildlife Crime (ICCWC), is designed to increase the effectiveness of measures combating wildlife and forest crimes (WAFCs). Greater Mekong Subregion (GMS) countries have applied this toolkit as one of their priority actions after recognizing concerns about the biodiversity system and conservational zone through several illegal wildlife trade (IWT) activities. Although the toolkit has realized its fundamental objectives to readjust legal frameworks, enhance enforcement involvement, and improve their judicial and prosecutorial operations, the last components of data and analysis have not yet been implemented. This leads to slow updates of both trends and patterns concerning WAFCs that raise questions about the real levels of exploitation in the region. Using gray literature with published materials, combined with the IWT's database in the CITES system, this study examines why the data and analysis component of the Toolkit created obstacles in the GMS countries. Findings point to there being at least four main challenges to implementing data and analysis as the toolkit has recommended in the region: (1) availability and reliability of data;(2) data collection;(3) data resources (internal vs. external level);and (4) analytic research and its related monitors. Some practical recommendations call for further discussions. Meanwhile, updated information and specific data relating to zoonotic disease transmission are timely, considering the coronavirus pandemic.

International Legal Standards in Crime Prevention

A qualitatively new stage in the development of international and national criminal law was marked by the international standards created to combat crime and the treatment of offenders by the global community, which deepens their interaction and establishes conditions for crime prevention and the protection of human rights. The purpose of the academic paper is to identify the primary crime prevention standards, their initiators and disseminators, the principal standardization areas, and approaches to address the issue. The research aims to show modern international norms and standards based on investigating the UN declarations and other normative documents formed by international organizations considering their development prospects. The need for more scientific, legal literature on modern standardization in crime prevention determines the research relevance. Therefore, this research is based on the last three UN Congresses in world crime prevention. The results show systematized information and the standardization of crime prevention. The study reviews the primary standards in the criminal treatment and detainee juvenile offenders and methods of combating modern problems in the information space, human trafficking, and terrorism. Emphasis is also placed on gender policy, corruption, and other contemporary issues. The research shows that the UN holds the Congresses according to the social development and crimes variety once in five years. The relevant problems of the modern world are computer technology crimes, crime in COVID-19, and corruption. © 2023, World Scientific and Engineering Academy and Society. All rights reserved.

Rain Drop Service and Biometric Verification Based Blockchain Technology for Securing the Bank Transactions from Cyber Crimes Using Weighted Fair Blockchain (WFB) Algorithm

Cybercrime is an online crime committing fraud, stealing identities, violating privacy or hacking the personal information. A high level of information security in banking can be attained through striving to achieve an integrity, confidentiality, availability, assurance, and accountability. This Pandemic situation (COVID-19) paved the way for the customers to avoid traditional ways of banking and adapt to digital transactions. This banking digitalization increases in the utilization of cashless transactions like digital money (Cryptocurrency). Cyber security is imperative to preserve sensitive information, therefore, Blockchain technology has been adapted to provide security. Transactions done via Blockchain are tested through every block, which makes transactions secure and helps the banking system to work faster. The proposed algorithm WFB is used to estimate the average queue rate and avoid unwanted block generation. Then the trapezoidal fuzzy technique optimizes the allocation of blocks. An objective of this investigation is to enhance the security in banking systems from Cybercrimes by verifying Rain Drop Service (RDS) and Fingerprint Biometric without the need of any central authority. Once the service is completed, the service is a dropout and the following new service will be provided (Hence the name RDS). For the strong authentication scheme to fight against bank fraud, RSA encryption technique has been implemented successfully. Therefore, Blockchain technology increases the need for cyber security as a part of design architecture which intends to detect the stemming attacks in real time instead of repairing the damage. [ FROM AUTHOR] Copyright of Cybernetics & Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Revisión de la seguridad pública en la era Covid-19

La seguridad pública, como eje central de la agenda estatal y ciudadana, ha sido abordada desde diferentes ángulos a partir de los cuales se han establecido fases de análisis;Estado de derecho, prevención del delito, procuración de justicia y readaptación social sin considerar la participación civil más allá de las denuncias o manifestaciones. El objetivo de este trabajo fue revisar la estructura participativa civil para establecer los diferentes tipos de autogobierno, gobierno y cogobierno entre las partes interesadas. Se discuten los marcos teóricos, conceptuales y empíricos en torno a la sistematización de datos para el montaje de carpetas de investigación.Alternate : Public security, as the central axis of the state and citizen agenda, has been approached from different angles from which phases of analysis have been established;rule of law, crime prevention, administration of justice, prosecution and social rehabilitation without considering civil participation beyond the complaints or demonstrations. The objective of this work was to review the civil participatory structure to establish the different types of self-government, government, and co-government among the interested parties. The theoretical, conceptual, and empirical frameworks around the systematization of data for the assembly of research folders are discussed.

The 2020 Twitter Hack -- So Many Lessons to Be Learned

In mid-July 2020, the social media site Twitter had over 100 of its most prominent user accounts start to tweet requests to send Bitcoin to specified Bitcoin wallets. The requests promised that the Bitcoin senders would receive their money back doubled, as a gesture of charity amidst the COVID-19 pandemic. The attack appears to have been carried out by a small group of hackers, leveraging social engineering to get access to internal Twitter support tools. These tools allowed the hackers to gain full control of the high-profile user accounts and post messages on their behalf. The attack provides many paths for investigation into the prevention, response, and impacts of cybersecurity breaches.

High-Definition City: An Invisible Horizon of Technological Human Space

Guest-Editors Jane Burry and Marcus White team up with Andong Lu, Lead Professor in Urban Design and Vice-Dean of the School of Architecture and Urban Planning at Nanjing University, to explore the ups and downs of our contemporary condition relative to the exponential rise in the seamlessness of technology – particularly digital technology. This is a complex arena that is both liberating yet can also be invasive to our privacy and dignity, presenting a paradox that they here attempt to unravel for us. Copyright © 2023 John Wiley & Sons, Ltd.

Understanding crime in the context of COVID-19: The case of Saldanha Bay Municipality

South Africa faces high levels of crime. The Saldanha Bay Municipality, the setting of this study is laden with poverty, unemployment and gangsterism that deprive quality of life and contribute to social ills. While crime management and prevention strategies require information regarding crime trends, this information for the Saldanha Bay Municipality area is limited. Hence, the study aimed to illustrate the spatial distribution and trends of crime in the Saldanha Bay Municipality, focusing on the period January 2017 to June 2020, and to indicate the recent impact of COVID-19 on these crime trends. The results of the study are presented by means of graphs and tables, and hotspot mapping was done using the ArcGIS Getis-Ord Gi· statistics tool. These results indicate that crime has increased over the past three years and that criminal activities are linked to urban hubs where most people stay and work. In terms of the effect of the COVID-19 pandemic and the lockdown regulations on crime, it is interesting to note the variations in crime rates during the first three months of lockdown (from April 2020 to June 2020) when compared to the rest of the period under investigation. Amongst the five towns investigated, the town of Vredenburg which has the highest population total and was ranked highest in terms of crime rates prior to the lockdown, moved from first to third, behind Langebaan and St Helena Bay. Similarly, Saldanha Bay with the second highest population total moved down to fourth. Hopefield was still the town with the lowest mean crime rate.

Independence and impact: a typology of researcher-user relationships for policing and crime prevention

The transition from ‘Mode 1’ to ‘Mode 2’ knowledge-production has created an explicit focus on research impact which is reflected in the funding and organisation of research, the relationships between research and users, and the focus of research studies. It has also led to efforts to understand pathways to impact, although these studies have so far had little to say specifically about crime-related research. This paper comprises an effort to address this gap and explore variations in research-user relationships within research into policing and crime prevention. An ESRC-funded project researching the crime consequences of the Covid-19 pandemic, of which we were team members, faced several challenges in terms of data access, data collection and the need to deliver strong academic research outputs, as well as maintaining a clear focus on real world research impacts. This led to a co-productive relationship between the researchers and a range of external partners. There is a dearth of literature theorising the nature of such researcher-user relationships, despite some rich accounts of individual experiences. This paper uses examples drawn from the writings of those who have been involved in research impacts (or who have been thwarted in their attempts), to set alongside the project on which we have been working. From this we present a typology of researcher-user relationships, that we hope will further theoretical discussion in the field and might usefully be applied more broadly to other areas of criminological interest. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Az Egyesült Nemzetek Szervezete Tizennegyedik Bűnmegelőzési és Büntető Igazságszolgáltatási Kongresszusa;a Kiotói Nyilatkozat

Cél: Az Egyesült Nemzetek Szervezete (a továbbiakban: ENSZ) – a COVID–19-járvány miatt 2020-ról elhalasztott – Tizennegyedik Bűnmegelőzési és Büntető Igazságszolgáltatási Kongresszusát 2021. március 7–12. között tartották Japánban, Kiotóban. A tanulmány célja az ENSZ bűnözés kérdéskörével kapcsolatos intézményeinek és korábbi bűnmegelőzési kongresszusainak vázlatos áttekintése, valamint a Tizennegyedik Bűnmegelőzési és Büntető Igazságszolgáltatási Kongresszus fő dokumentumának, a Kiotói Nyilatkozatnak a részletes bemutatása és értékelése. Módszertan: A tárgykör alapvető nemzetközi forrásainak feldolgozása, szakirodalom-kutatás, dokumentumelemzés. Megállapítások: Az ENSZ bűnözéssel és büntető igazságszolgáltatással foglalkozó intézményeinek kiemelkedő jelentőségű fórumai a bűnmegelőzési kongresszusok. A Tizennegyedik Kongresszus kapcsolódik az „ENSZ Fenntartható Fejlődés Programja, az Agenda 30” keretrendszerhez. A Kiotói Nyilatkozatból megállapítható, hogy az ENSZ és vonatkozó intézményei a bűnözést komplex jelenségnek és nem csupán közbiztonságot fenyegető veszélynek tekintik. Érték: A Kiotói Nyilatkozat rámutat arra, hogy a bűnözésre való reagálásban egyaránt fontos a jogállami követelmények szerint működő büntető igazságszolgáltatás, a helyi sajátosságokhoz igazodó bizonyítékalapú bűnmegelőzési stratégia, valamint a nemzetközi együttműködés, úgy a büntető igazságszolgáltatás, mint a prevenció területén.Alternate : Aim: The United Nations (UN) Fourteenth Congress on Crime Prevention and Criminal Justice – postponed from 2020 due to the COVID–19 – was held from 7 to12 March 2021 in Kyoto, Japan. The aim of the study to outline the UN’s institutions on crime problem and previous crime prevention congresses, as well provides an overview and assessment of the most important document of the UN Fourteenth Congress, the Kyoto Declaration. Methodology: Processing of the basic international legal sources of the subject, academic literature research, document analysis. Findings: Crime prevention congresses are significant forums for UN crime and criminal justice related institutions. The Fourteenth Congress is linked to the „Transforming our world. The 2030 Agenda for Sustainable Development” framework. It can be seen from the Kyoto Declaration that the relevant UN institutions consider crime to be a complex phenomenon and not just a threat to public security. Value: The Kyoto Declaration emphasizes the importance of a criminal justice based on rule of law, an evidence-based crime prevention strategy tailored to local specificities, and international cooperation in the field of both criminal justice and prevention.