Research Newsletter Issue #2 July - Dec 2023 EN

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Volume 1 l Issue 2 - 2023

Rabdan

Academy's Impact

A glimpse into the intellectual vibrancy of

Rabdan's community

Research & Innovation

A d i v i s i o n o f R a b d a n A c a d e m y

Bi-annual Newsletter l Volume 1 l Issue 2 - 2023

I am so delighted to be given the opportunity to welcome you to this

edition of Rabdan Academy newsletter. It is indeed a pleasure for me to

see the outstanding outputs of Rabdan Academy Faculty members to be

presented in this newsletter. I am impressed of the amount of hard work

and efforts done to make this achievement a success. This newsletter

contains research activities outputs in terms of publications and

possible patents filing which are indicators of excellent performance.

Reading through this newsletter you will discover that sensitive areas

such as Security, Safety, Defense, Emergency preparedness and Crisis

management (SSDEC) were covered by qualitative and quantitative

research approaches.

In this edition the latest selected success stories in research and

innovation are highlighted to give readers the chance to view Rabdan

Academy research throughput. This is not the end of our research

activities deliverables, there are many others achievements to share

with you in the next near future. The publication of this newsletter will be

on periodic intervals, the next publication will carry attractive and

significant dissemination of Rabdan Academy research performance.

We hope you enjoy this edition of our newsletter and we also encourage

you to keep in touch for the next editions.

Division Director’s

Message

Dr. Naji Mohammed Al Seiari

Division Director - Research and Innovation &

Interim Dean of Faculty

Policing & Security

Crisis Management

in Covid

Business Continuity

in Supply Chain

Artifical Intelligence

Page 5 - 9

Researches on

Page 5

Full article published in: Crime Science Volume 12, Issue 1 | 2023

To read more

Domestic abuse in the Covid-19

pandemic: measures designed to

overcome common limitations of

trend measurement

Research & Innovation

Newsletter

Dr. Eric Halford

Assistant Professor

Policing & Security Program

Rabdan Academy

Hodgkinson Sarah

Dixon Anthony

Farrell Graham

Research on pandemic domestic abuse trends has produced

inconsistent findings reflecting differences in definitions, data and

method. This study analyses 43,488 domestic abuse crimes recorded

by a UK police force. Metrics and analytic approaches are tailored to

address key methodological issues in three key ways. First, it was

hypothesised that reporting rates changed during lockdown, so

natural language processing was used to interrogate untapped

free-text information in police records to develop a novel indicator of

change in reporting. Second, it was hypothesised that abuse would

change differentially for those cohabiting (due to physical proximity)

compared to non-cohabitees, which was assessed via a proxy

measure. Third, the analytic approaches used were change-point

analysis and anomaly detection: these are more independent than

regression analysis for present purposes in gauging the timing and

duration of significant change.

However, the main findings were largely contrary to expectation: (1)

domestic abuse did not increase during the first national lockdown in

early 2020 but increased across a prolonged post-lockdown period,

(2) the post-lockdown increase did not reflect change in reporting by

victims, and; (3) the proportion of abuse between cohabiting

partners, at around 40 percent of the total, did not increase

significantly during or after the lockdown.

Volume 1 l Issue 2 - 2023

Research & Innovation

Newsletter

Volume 1 l Issue 2 - 2023

Early retirement intentions among

Abu Dhabi Police: investigating the

role of psychosocial work factors

and sickness absenteeism

Page 6

Full article published in: BMC Public Health Volume 23, Issue 1 | 2023

To read more

Dr. Praveen Kumar

Maghelal

Associate Professor and

Lead Researcher

Rabdan Academy

Dr. Faisal Ahmed Al Kaabi

Police departments are encouraged to integrate their health and

safety management systems with the operational arrangements to

demonstrate commitment to the improvement of working

environment in the police is by the collection and analysis of

occupational health data such as sickness absence and early

retirement intention.

The data collected through the Occupational Health and Safety

Survey sent out to the Abu Dhabi Police employees was used to

analyse the early retirement intentions considering the work-related

factors and sickness absence data.

The study reveals that logistic regression results of the unadjusted

model reported higher odds that lower levels of co-worker support,

supervisor support, workplace support related to intentions of early

retirement. Also, unfavourable perception of health management

increases the odds to early retirement among the employees.

The outcome of this study provides insights into the determinants of

early retirement intentions in the less explored region of middle-east,

specifically in Abu Dhabi. Thorough analysis of such data will help

police organisations to prioritise plans and improve the health and

wellbeing of officers, in turn contributing to strengthening the fight

against crime and minimizing the number of occupational injuries and

premature exit from paid work.

This paper is an attempt to better understand a hard-core security

issue through a feminist lens or to grasp a new “Great Game”3

emerging in central Eurasia by using a feminist understanding of

power. The war in Ukraine is considered pivotal to the direction of

world history, global order, and the very architecture of the

international system. While NATO and Western powers are reluctant

to go into a direct military confrontation with Russia over Ukraine,

sanctions on Russia have repercussions that extend way beyond

Russian borders.

Specifically, the former Soviet republics of Central Asia and South

Caucasus—which have continued to be almost an integrated part of

the extended Russian economy—are experiencing a stronger impact

of sanctions than initially planned by the international community.

This paper aims to address the unintended consequences of

sanctions against Russia on the extended Eurasian space. It relies on

the ontology of feminist security studies by focusing on the marginal

actors of the Great Game, discovering that resilience is another form

of soft power in today’s international relations.

The Impact of Sanctions against

Russia on Central Eurasia:

A New Great Game through a

Feminist Lens

Page 7

Full article published in: Journal of International Women's Studies Volume 25, Issue 6 | 2023

To read more

Dr. Anna Dolidze

Associate Professor

Policing and Security

Rabdan Academy

Akchurina

Viktoria

Research & Innovation

Newsletter

Volume 1 l Issue 2 - 2023

Page 8

Full article published in: International Journal of Law, Crime and Justice Volume 74, September 2023

To read more

Investigating the police use of stop

and search in England and Wales

during the coronavirus pandemic

Dr. Eric Halford

Assistant Professor

Policing & Security Program

Rabdan Academy

In this study we examine the use of the police stop and search tactic

for preventing and investigating crime and as a method for

maintaining order, during periods of national lockdown in England

and Wales during the covid-19 global pandemic. By using time series

modelling on data for all recorded stop and search over a 5-year

period, we identify that of the 24 areas we examined, 16 saw the

volume of stop and search increase significantly during lockdown

periods. Significant findings included a rise in the overall volume of

stop and search, and searches for controlled drugs. This is unusual

given the reductions in crime and traditional police demand during

the pandemic, creating somewhat of a paradox.

We discuss this further and suggest that this can be reconciled by

considering the possibility that the police have used the tactic of stop

and search as a tool to maintain order during the pandemic, and

specifically adherence to national lockdowns. This position is

supported by the academic literature, an absence in associated

recorded crime, correlations in the application of FPNs during the

same period, and an increased volume of searches that resulted in no

further action.

Research & Innovation

Newsletter

Volume 1 l Issue 2 - 2023

The World Health Organization (WHO) identifies road traffic injuries

as a global health problem. The Eastern-Mediterranean region is

particularly suffering from low traffic safety levels, recording the third

highest death per capita ratio in the world. It is critical to evaluate and

understand the causes of crashes and their severity levels as a first

step to devising policies that aim to reduce these causes. Previous

studies examining the frequency or severity of crashes present

important limitations that motivate the need for the current work.

While these studies have investigated the relation of contributing

factors to severity of crashes, not until recently the importance of

these factors are being investigated.

This is a first study analyzing the severity of vehicle-to-vehicle

crashes among drivers in the United Arab Emirates. Traffic Crash

Data was obtained from the Abu Dhabi Police, which consisted of

11,400 observations during the period 2014–2017.

The feature importance analysis indicates that the age of car, age of

the injured, and the age of the initiator have the highest effect on

severity, which is an important finding as the listed factors were

rarely considered in previous studies

Severity of vehicle-to-vehicle

accidents in the UAE:

An exploratory analysis

using machine learning algorithms

Page 9

Full article published in: Heliyon Volume 9, Issue 10 | 2023

To read more

Dr. Praveen Kumar

Maghelal

Associate Professor and

Lead Researcher

Rabdan Academy

Abdulrahim Haroun Ali

Elie Azar

Raja Jayaraman

and others

Research & Innovation

Newsletter

Volume 1 l Issue 2 - 2023

Policing & Security

Researches on

Crisis Management

in Covid

Business Continuity

in Supply Chain

Artifical Intelligence

Page 11 - 12

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