Film studies|Comparative Literature|Adaptation|Latin America|North America|Intermediality|Cros

Module Description: 

Since the emergence of film as a distinct artistic medium, literary texts have served as a source of inspiration for filmmakers...

Film Adaptation in the Americas (SPAN0095)

This module provides students with an overview of different manifestations of hate crime and extremism online. Students will learn about trends and common...

Online Extremism and Hate Crime (SECU0067)

This module provides students with an overview of different manifestations of hate crime and extremism online. Students will learn about trends and common expressions of online hate speech and harassment as well as how extremist and terrorist actors use the internet to share propaganda, recruit supporters, and organise attacks. The module also discusses mis- and disinformation, including the more nascent concept of deep fakes. Students will reflect on the overlap between the problem spaces of crime, terrorism, and extremism, hate speech, and disinformation. Throughout the module, students will further explore the reciprocal relationship between online and offline hate crime and extremism. In addition to examining the conceptual and theoretical undermining of the phenomena, their prevalence, and risk factors of victimisation, students get to know measures to detect and counter online hate crime and extremism. Doing so, they will evaluate the advantages and disadvantages of human- as well as technology-centred approaches. Finally, students also become familiar with research methods that are best suited to study manifestations of hate crime and extremism online.

In a complex world, data science tools can be used to provide the policymaking community with unprecedented insight, and can help to improve the design and...

Data, Evidence and Public Policy (PUBL0097)

In a complex world, data science tools can be used to provide the policymaking community with unprecedented insight, and can help to improve the design and provision of many public services. However, these opportunities come with significant complications and risks, both in terms of developing the capacity in the public sector to employ such tools, and the ethical implications of the use of such tools.

This module provides an overview of the role of "big data" and data science methods in the policymaking process. The module seeks to address a variety of questions, including: How is "big data" used in the development of public policy? How can data science and artificial intelligence be used to inform policymaking and improve the provision of public services? How do practitioners include data science tools in the policy workflow? What are the ethical or social implications of the use of such tools? And how are these shaped by the evolving regulatory environment? This module will also include guest lectures by data science practitioners in government, policy, and industry.

 