Outline

Overview

New digital technologies are rapidly emerging as conduits for criminality as well as tools of policing and criminal procedure, and in the infrastructure of punishment. In this unit of study, students will learn about the impacts of technologies on crime and justice: in the commission of new crimes, in law enforcement and regulatory challenges, national security, and digital transformations in court procedure and court space, algorithmic risk assessments, corrections, and in the supervision of offenders. This unit of study draws from socio-legal literature and the emerging field of Digital Criminology to understand the profound shifts occurring in the move from terrestrial to digital environments, and from human 'reality' to augmented, virtual and artificial platforms in the criminal justice system.

Unit details and rules

Academic unit	Law
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Carolyn McKay, carolyn.mckay@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Video or PowerPoint Presentation Production of a video or PowerPoint presentation and written script	40%	Week 05 Due date: 08 Sep 2021 at 17:00	Max 10 minutes/Max 3000wd written script
Outcomes assessed:
Assignment	Case study/research essay outline Brief outline of case study/research essay	0%	Week 09 Due date: 11 Oct 2021 at 17:00	500 words
Outcomes assessed:
Assignment	Case study Research essay	60%	Week 10 Due date: 18 Oct 2021 at 17:00	5000 words
Outcomes assessed:

Assessment summary

Video or PowerPoint Presentation (maximum 10 mins): Produce a video or set of powerpoint slides to demonstrate your understanding of digital criminology and how this concept differs from cyber criminology. This assessment task will aim to develop students’ expertise in digital criminology and related theoretical frameworks, as well as independent research.

You should make use of the set textbook as well as recommended readings, and conduct further research as necessary.

You will need to submit in a Word document a copy of your script of your video or PowerPoint and a list of references. This should be a maximum of 3000 words and is due on 8 September, 2021 at 5pm.

The Case Study Outline (500 words) is a prerequisite to completion of the Case Study. It should be submitted by 11th October, 2021 at 5pm. It is worth 0%.

The Case Study (5000 words maximum): Choose a contemporary Australian media story regarding digital criminal behaviour, digital law enforcement/regulation, digital criminal procedure or digital punishment.

Analyse the media story using the digital criminological theories, frames and analytical tools you have developed in this unit of study. Choose a media story that you are interested in and that you think will prove to be an amenable case study for digital criminological analysis.

This should be a maximum of 5000 words and is due on 18 October, 2021 at 5pm.

Assessment requirement to pass a unit of study

A student must make a genuine attempt at all assessment tasks set out in this Unit of Study in order to obtain a Pass mark and grade (or above); otherwise an Absent Fail grade will be recorded as the student’s result for this Unit of Study.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100	Work receiving a high distinction grade will generally exhibit the following characteristics: • Completely answers the question. • Contains striking originality of approach or analysis. • Demonstrates exhaustive or innovative research (where independent research required). • Exceptionally well written, structured and expressed. • Is otherwise exceptional in some way.
Distinction	75 - 84	Work receiving a distinction grade will generally exhibit the following characteristics: • Completely answers the question. • Achieves a critical and evaluative approach to the issues. • Content and structure is well organised in support of the argument. • Demonstrates extensive research and analysis to support a well-documented argument. • Generally well expressed and free from errors. • Has a clear structure and is well articulated.
Credit	65 - 74	Work receiving a credit grade will generally exhibit the following characteristics: • Covers main issues fairly well in answering the question. • Contains no significant errors • Demonstrates an attempted critical approach to the issues. • Demonstrates reasonably sound research and analysis in addressing the key issues. • Has a clear structure and reasonably clear expression.
Pass	50 - 64	Work receiving a pass grade will generally exhibit the following characteristics: • Identifies the key issues, but does not follow through with a reasoned argument. • Contains some significant errors. • Displays satisfactory engagement with the key issues. • Offers descriptive summary of material relevant to the question. • Superficial use of material, and may display a tendency to paraphrase. • Demonstrates little evidence of in-depth research or analysis. • Adequate expression. • Overall, demonstrates the minimum level of competence in the assessment and satisfies the requirements to proceed to higher-level studies in the degree or subject area.
Fail	0 - 49	Work may fail for any or all of the following reasons: • Does not answer the question. • Contains significant or numerous errors. • Few or no identifiable arguments. • Content that is inappropriate or irrelevant. • Lack of research or analysis. • Difficult or impossible to understand through poor grammar, expression or structure. • Overall, does not demonstrate the minimum level of competence in the assessment.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

The late submission of a piece of assessment, which has not been granted an extension, will attract a penalty of 10% of the total marks available for the piece of assessment per calendar day or part thereof.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Ongoing	Introduction: Digital Criminology; Understanding Digital Criminology	Seminar (3 hr)
	Theorising Digital Criminology; Researching Digital Criminology	Seminar (3.5 hr)
	Criminal Behaviour in the Digital Age	Seminar (4.5 hr)
	Victimisation in the Digital Age	Seminar (2 hr)
	Digital Policing; Regulation	Seminar (4.5 hr)
	Peer Review Session; social justice in digital society	Workshop (2 hr)
	Digitised Justice	Seminar (3 hr)
	Digitising punishment and supervision	Seminar (1.5 hr)
	Conclusion and final observations	Seminar (2 hr)

Attendance and class requirements

Attendance: All students are required to attend 70% of classes (or as otherwise specified by the Unit Coordinator) to satisfy the pass requirements for each unit of study. Attendance requirements may be satisfied by online attendance as specified by the Unit Coordinator. Failure to meet this requirement may result in a student being precluded from sitting the final assessment.

For postgraduate intensives only: For units offered in Intensive mode, participation in all scheduled sessions may be expected by a Unit Coordinator in order to satisfy the requirements of the unit.

Word count penalty: A piece of assessment which exceeds the prescribed word limit will attract a penalty of 10% of the total marks available for the piece of assessment for every 100 words, or part thereof. The total word count for essay and other written assessments will exclude bibliography; footnote numbers; footnote citation; cover page and include body text; headings and sub-headings; quotations; anything other than numbers and citations in footnotes.

Referencing: The Sydney Law School expects you to use the Australian Guide to Legal Citation (4th edition, 2018) for your footnoting style, although you should confirm this with your lecturer, and a link to the library website where this is set out comprehensively is available at https://libguides.library.usyd.edu.au/c.php?g=508212&p=3476376

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

The prescribed textbook is Powell, Anastasia, Stratton, Gregory and Cameron, Robin. Digital Criminology: Crime and Justice in Digital Society. (Routledge, 2018).

For other required readings, please refer to the Reading List tab in Canvas.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. demonstrate critical knowledge of new forms of crime and victimisation
LO2. demonstrate critical knowledge of responses and initiatives from police, government regulators, prosecutors, the courts, and corrections
LO3. demonstrate skills in critical analysis and application of theoretical and regulatory frameworks to understand the social and legal implications of digital transformations in offending, detection, prosecution, and punishment
LO4. demonstrate skills in evaluating prospects for regulation and law reform.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

In response to 2020 student feedback, the first seminars and the first assessment task will clearly deal with the difference between 'digital criminology' and 'cyber criminology'.

Additional information

Resources - Sydney Law Students

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

LAWS6358: Digital Criminology: Tech and Crime

Intensive August - September, 2021 [Block mode] - Remote

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect