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Is it OK to spend 12 months to get a visa to attend a 3-day conference? My piece in Science Magazine sheds light on this issue many scholars from institutionally discriminated countries experience on a regular basis Spoiler: 12 months, 900$, get rejected science.org/content/articl…

Let Women March. It’s their right (and your hope)

Toxic sites thrive in part because advertisers don’t realize what they are funding. When they are informed they stop funding them. #SunlightDisinfects

Nicholas A. Christakis Florian Ederer Our paper (with Erik Brynjolfsson, Wajeeha Ahmad, and Chuck Eesely) proposes something similar to deal with the financing of misinformation websites more generally. We examine the roles of advertisers, consumers and ad tech platforms in this ecosystem. papers.ssrn.com/sol3/papers.cf…

📢 NEW JOB POSTING: We're searching for a postdoctoral associate to study ​​AI and the economic implications of aging populations in collaboration with the Stanford Center for Longevity. Learn more about this exciting opportunity 👇 tinyurl.com/3amfywya

Low-cost, scalable information-based interventions that digital platforms could implement to reduce the financial incentive to misinform and to counter the supply of misinformation online, from Wajeeha Ahmad, Ananya Sen, Chuck Eesley, and Erik Brynjolfsson nber.org/papers/w32187

🚨 Just accepted at The Review of Economic Studies 🚨 with Yasir Khan We study ordinary people's entry into politics as candidates in a field exp. We show that portraying the job as a prosocial one increases the chances they run & win. Subsequently, policy aligns more with citizen preferences.

There are gaps in our understanding of how and why digital misinformation propagates go.nature.com/3Vv3woU

“The key to tackling misinformation is to cut off its funding,” says Wajeeha Ahmad, a Stanford Digital Economy Lab graduate research affiliate and author of a new study that looks at how digital advertising budgets often fund publishers of misinformation. stanford.io/3zizcoW

Should we use LLMs 🤖 to simulate human research subjects 🧑? In our new preprint, we argue sims can augment human studies to scale up social science as AI technology accelerates. We identify five tractable challenges and argue this is a promising and underused research method 🧵

Stages of AI product: 1. Manual workspaces 2. Assistants – help for simple tasks 3. Agent workflows – Handle complex, multi-step tasks 4. Agents – Full task execution autonomy 5. Swarms – Multi-agent, multi-task orchestration 6. AGI – Autonomous systems optimizing for objectives

We're hiring at the Stanford Digital Economy Lab! Seeking a Postdoctoral Research Fellow to join our project on developing user-centered AI agents in consumer settings. Learn more: digitaleconomy.stanford.edu/about/post-doc…

excited to finally share on arxiv what we've known for a while now: All Embedding Models Learn The Same Thing embeddings from different models are SO similar that we can map between them based on structure alone. without *any* paired data feels like magic, but it's real:🧵