Topics of interest for submission include any topics related to:
These are standalone domains where technology has directly revolutionized traditional human systems.
The Evolution of Connection: Shift from face-to-face to asynchronous and hyper-mediated communication.
The Attention Economy: How platform algorithms are designed to capture and monetize human focus.
Digital Intimacy: The rise of online dating, virtual friendships, and the parasocial relationships formed with influencers.
The Gig Economy: The transition from traditional 9-to-5 employment to contract and platform-based labor (e.g., Uber, Fiverr).
Automation & Job Displacement: How AI and robotics are replacing routine manual and cognitive tasks.
The Digital Divide: Economic inequality based on who has access to high-speed internet and tech education.
Democratization of Learning: Open-source knowledge, MOOCs (Massive Open Online Courses), and YouTube as educational hubs.
Pedagogical Shifts: Moving from rote memorization to teaching critical data analysis and prompt engineering.
The Plagiarism Crisis: The challenge of academic integrity in the age of generative AI.
The Curated Self: How social media profiles create idealized digital identities vs. authentic reality.
Cognitive Offloading: Relying on smartphones for memory, navigation, and basic problem-solving.
Mental Health: The proven correlation between heavy screen time, cyberbullying, and rising rates of anxiety/depression.
E-Governance: Digitizing public services, voting, and citizen-state interactions.
Digital Activism: How social movements (like Arab Spring or #MeToo) use hashtag culture to organize globally.
State Surveillance: The use of facial recognition, data scraping, and predictive policing by governments.
This is where the real magic (and chaos) happens. These are topics born strictly from the intersection of the independent pillars mentioned above.
This concept, coined by Shoshana Zuboff, explores how private tech monopolies harvest human behavioral data as free raw material to predict and modify our behavior for profit, often with little to no government regulation.
Because machine learning models are trained on historical human data, they often inherit and amplify our societal prejudices.
Interrelated subtopic: Biased AI in hiring practices (Economy) and facial recognition errors in policing marginalized communities (Governance).
The speed of technology makes it incredibly easy for manipulated information to spread.
Interrelated subtopic: How AI-generated deepfakes and echo chambers polarize voters, degrade trust in traditional journalism, and directly influence democratic elections.
The "always-on" capability of smartphones has blurred the line between professional and personal life.
Interrelated subtopic: The psychological burnout associated with the expectation of immediate replies to work emails and Slack messages outside of contract hours.
As biotechnology, neural implants (like Neuralink), and gene editing advance, we aren't just changing how we live—we are changing what we are.
Interrelated subtopic: The cultural divide between those who embrace merging human biology with technology and those who view it as an ethical violation of nature.