Teaching Portfolio

The University of Sydney (since 2019)

ARIN6902 Internet Cultures & Governance (unit coordinator, S1 2020 & S1 2021)
This unit offers a comprehensive, fresh, lively, and rigorous account of the central issue in the Internet and digital cultures today – what we call ‘governance’. Governance is about the rules of the Internet and associated digital platforms and technologies. This unit of study explores cultures and governance of the online world and investigates how politics manifest not only in public debates and policy, but also in the struggle to develop new information architectures and digital ecosystems.
Unit outlines: 2020, 2021

ARIN3630 Digital Arts (unit coordinator and lecturer, S2 2020)
Digital Arts explores the ways digital and new media technologies are being used to transform cultural production, distribution and reception in the visual and performing arts, machine vision and popular culture. In our 12 weeks together, we will learn about the changing aesthetic, cultural and technical dimensions of new digital technologies and will develop the critical and analytical tools and a practical skillset with which to discuss, evaluate, and appreciate works of digital art.
Unit outline: 2020

ARIN3610 Technology & Culture (unit coordinator and lecturer, S1 2020)
Technology and Culture analyses the relationships between technological developments and cultural change, with a particular focus on digital media. This unit of study interrogates the changing conceptions of technology in society by tracing the influence of key works in the critical Humanities and social sciences. Through close readings and provocative discussion of advanced texts, students explore the significance of technology in social power, identity, gender, social shaping, class, space, assemblages, actor-networks, experience, thought, time, and the future.
Unit outline: 2020

ARIN2610 Internet Transformations (lecturer, S2 2019)
The Internet is an infrastructure that supports constant industrial and social change, while also being progressively integrated into the routines of everyday life across the planet. Internet Transformations critically examines the online technologies, platforms and industries at the heart of these changes. It introduces key skills in analysis, evaluation and critique of these objects, situated in a historical context. It also interrogates the implications of emerging internetworked phenomena such as the internet of things, augmented reality and algorithmic cultures.
Unit outline: 2019

Syracuse University (2016-2019)

Internet & Society (SOC.300)
Instructor, Spring 2019
Department of Sociology, Maxwell School of Citizenship and Public Affairs, Syracuse University
We live in a platform society – digital technologies have fundamentally reconfigured how we present ourselves, maintain relationships, work, purchase goods and services, and participate in civic and political life. Large scale internet platforms such as Facebook, Google, Instagram, and Uber are becoming venues where large segments of contemporary life are played out, and thus play an increasingly important role in contemporary society. The decisions, assumptions and interests reflected in these platforms will have significant consequences for society at large, yet our understanding of these processes is still very limited. What is at stake as we make this swift platform-mediated transition? How are existing social inequalities challenged or reinforced as the adoption of digital technologies turns from ubiquitous to pervasive? Finally, what are some of the ethical, moral, and legal implications that should be considered with regard to digital technologies? This course assembles some of the most recent and exciting literature from the field of media sociology to answer these questions.

Digital Media and Resistance (course proposal)

Data in Society (IST.343)
Co-instructor, Fall 2018
School of Information Studies, Syracuse University
Our contemporary information environment is fully mediatized, which means that most of what we know as well as how we work, participate in civic and political life, shop, find entertainment, fall in love, maintain our friend and family ties, and learn are done through digital media. The consequence of this is a deep wealth of behavioral data: likes, clicks, shares, comments, views that marketers, tech giants, businesses, the entertainment industry, the medical industry, politicians, and government now actively use to segment, target for persuasive messaging, and predict future behavior of the public. This course introduces students to the variety of techniques of data gathering and segmentation, and the social, economic, political, and cultural implications of the increasingly data-driven society we live in. This course aims to help students think critically and ethically about the role of data in everyday life.

Information Visualization (IST.719)
Co-instructor, Fall 2017
School of Information Studies, Syracuse University
This course will introduce students to skills and techniques related to information visualization. In this skills-based course, students will be introduced to the R programming language, Adobe Illustrator, simple data cleaning techniques, simple design concepts and the ethics of visualizing data. The focus is on developing static data visualizations to visually explore and communicate findings using data from a variety of sources. Conceptual themes will be presented alongside technical aspects of data visualization. As this is an introductory class, there are no prerequisites but students will be programming on day 1!

Fulbright Pre-Academic Orientation
Program Facilitator, Summer 2017
English Language Institute, University College, Syracuse University

TNGO Initiative Leadership Institute
Program Facilitator, Summer 2016
Moynihan Institute of Global Affairs, Maxwell School of Citizenship and Public Affairs, Syracuse University

Quantitative Methods for Program Evaluation
Teaching Assistant, Spring 2016
Public Administration and International Affairs, Maxwell School, Syracuse University
This course has two major sections. The first section is a continuation of statistics, in which we will take the simple bivariate regression model introduced there and elaborate it into a powerful and flexible multivariate statistical model that can be used to analyze data from a wide range of program evaluation projects, along with introducing the “classical” theory of measurement. The second half will cover principles of scientific research design and the statistical models best suited to program evaluations of various types.