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