In this talk, Deen Freelon talks about research data sourced from social media platforms to support computational research approaches in social science .

Notes

Despite its brevity, the essay “Computational research in the post-API age” (Freelon, 2018) sparked an interdisciplinary discussion about options for collecting and analyzing social media data at a time when platforms were imposing tight restrictions on their formerly open APIs or closing them altogether. This keynote will explore some of what has and has not changed in the ensuing three years for computational researchers interested in social media data. In particular, it will focus on three key issues that have increased greatly in prominence since 2018: (1) the process of collaborating directly with social media companies on research projects, (2) the ethics of hacked and leaked datasets, and (3) ethno-racial and gender inequities in web- and computational social science.

Freelon, D. (2018). Computational research in the post-API age. Political Communication, 35(4), 665-668.

In this talk, Jennifer Zhu Scott talks about the need to create global inclusive data infrastructures and processes to address global issue

Notes

Technology has become a transformative force in almost every aspect of our lives. It permeates our personal, economic, and political life. However, large for-profit tech companies or a handful of tech-savvy governments dominate the vast majority of digital services and solutions. Such a reality of our current data economy means highly concentrated data control and ownership.

The global pandemic is both a global public health and economic crisis. However, it also exposes the painful absence of a global digital infrastructure to provide critical services such as COVID-related data interoperability between countries to accelerate safe reopening. Billions of people are being vaccinated and tested for COVID. How should they prove and record their testing and vaccination data? Who should have access to and control such data? As the world reflects on a more responsible and inclusive data economy, how can we take the opportunity to build a global digital infrastructure that belongs to people from all countries?

This talk discusses the technical as well as the governance considerations for a viable global solution, and what might be the future implications to the global data economy.

This panel will tackle the ambitious challenge of examining the intersection of emerging artificial intelligence (AI) technology and the production of news media in an online environment.

Notes

Worldwide, there are vast disparities in the ways in which digital government is enacted. The ‘splinternet’, or Balkanisation of the internet, heralds deep shifts in how people in different regions can engage digitally (see: O’Hara and Hall, The Four Internets). At the same time, approaches may vary quite drastically even within smaller regions, i.e. Estonia’s digital-first approach as compared with other European countries. This panel brings together practitioners from industry and government to share their expertise and experiences with digital transformation. Topics will include best and worst practices, what exactly the web enables for government, and, of course, the impact of Covid. We encourage audience participation in this panel, which promises to highlight opportunities as well as challenges as digital government continues to evolve.

This panel will tackle the ambitious challenge of examining the intersection of emerging artificial intelligence (AI) technology and the production of news media in an online environment.

Notes

The assembled panellists represent a diverse range of perspectives, from industry to academia, and an array of professional backgrounds. The speakers on this panel will address critical questions about how tools for automation and AI impact the production of news media, how an increasing reliance on technology has affected the battle against misinformation, and how COVID-19 and shifts to alternative work arrangements has impacted news media production in this context. Panellists will also examine the specific technologies that are changing the production of news today, delving into the technical challenges facing modern newsrooms.

Notes

This talk presents new research in cyber security and privacy, offering a broad approach by which computer science can contribute systems that are better integrated with society’s public policy priorities. Our new approach to cyber security will provide previously unattainable cyber risk pricing metrics to guide private investment decisions, make cyber insurance markets more efficient, and shape cyber security regulations that are more effective. To address privacy needs, we propose changes to the underlying architecture of relational database systems to enable auditable conformance with state-of-the-art privacy values in laws such as the European Union General Data Protection Directive (GDPR). Taken together, this work suggests we can improve computing governance with new extensions of two key concepts in the theory of computation. First, we describe policy soundness: the property of a computing system that shows it is logically sound with respect to a given legal ruleset. Second, technical completeness: the property of a law or regulation which shows the rules are logically complete with respect to the dynamics of a given computing system. Building these kinds of abstractions into systems and laws can make computing systems more governable and thus more trustworthy.