Science & Technology

244 Items

A lighthouse, battered by waves, sits at the center of this dark and stormy seascape.

AP Photo/Matt Dunham

Report - Belfer Center for Science and International Affairs

Democracy and the Liberal World Order Amid the Rise of Authoritarianism

| Aug. 14, 2023

The entanglement and feedback loops among the domestic and the geopolitical cycles of distrust have resulted in a cohesive threat to democracy: a downward political spiral that is pulling societies towards enmity. This spiral feeds on and generates destructive human emotions at massive scale, such as outrage and hatred, that lead to violence, war, and autocracy, so it can be better understood as a dangerous global maelstrom of distrust, which could sink democracy worldwide. As showcased by historical evidence, domestic and international forces do not act in isolation from each other. Democratic backsliding, the rise of authoritarianism and totalitarianism, and the politics of aggression generated feedback loops in the 1930s, that resulted in WWII. Similar forces are again working in the 2020s. If massive distrust can wreck democracy worldwide, it follows that the regeneration of trust is the path to democratic revitalization.

Dr. J. Robert Oppenheimer, creator of the atom bomb, is shown at his study at the Institute for Advanced Study, in Princeton, N.J., Dec. 15, 1957.

AP Photo/John Rooney, File

Analysis & Opinions - Belfer Center for Science and International Affairs, Harvard Kennedy School

Nuclear Insights from "Oppenheimer"

After viewing the movie OppenheimerMatthew Bunn, John P. Holdren, Mariana BudjerynMatthew J. Parent, Calder Walton, Sylvia Mishra, and Julie George offer their thoughts on its relevance to the world today. 

Report - Belfer Center for Science and International Affairs, Harvard Kennedy School

Technology Primer: Social Media Recommendation Algorithms

| Aug. 25, 2022

The use of social media platforms like Facebook, Twitter, YouTube, and TikTok is increasingly widespread, currently amounting to billions of users worldwide. Social media companies deploy proprietary recommendation algorithms to automate the selection, ranking, and presentation of content on the platform’s “feed” or recommended content section, every time a user opens or refreshes the site or app. However, social media recommendation algorithms have a range of privacy, security, information quality, and psychological concerns for users. 

A successful approach to the regulation of social media recommendation algorithms will require a combination of government regulation, self governance, and external oversight to facilitate value alignment across these diverse actors and tackle the various challenges associated with this technology. This publication explores the technical components of social media recommendation systems, as well as their public purpose considerations.