Online algorithms are designed to make decisions sequentially, without complete knowledge of future inputs. In many real-world applications—from scheduling and resource allocation to network ...

Online algorithms are central to solving resource allocation and matching challenges in dynamic environments where decisions must be made without complete knowledge of future events.

The following essay is reprinted with permission from The Conversation, an online publication covering the latest research. People’s daily interactions with online algorithms affect how they ...

The event, titled “Annenberg Conversations on Gender: From Algorithm Audits to Accountability,” featured conversation about implicit biases in Google Image Search results.

How social media algorithms warp our perceptions A key question is what can be done to make algorithms foster accurate human social learning rather than exploit social learning biases.

Social media companies’ drive to keep you on their platforms clashes with how people evolved to learn from each other. One result is more conflict and misinformation.