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80,000 Hours Job Board
791 jobs - Find jobs working on helping AGI go well and other pressing global problems.
Don't Learn to Code - Learn to Automate - DaedTech
Does anyone remember a few years ago, when the mayor of New York decided to learn to program? It was a heady time, because it wasn’t just him. I remember these surreal commercials where Miami Heat forward Chris Bosh was encouraging children to learn to code for the good of humanity or something. There was...
Moving Forward on Basic Income | Y Combinator
We have a few updates we want to share on our Basic Income Project [https://ycombinator.wpengine.com/basic-income]: Our Research Director Elizabeth Rhodes is joining Basic Income Project as our Research Director. She recently completed a joint PhD in Social Work and Political Science at the University of Michigan, where her research focused on health and education provision in slum communities in Nairobi. We received over 1000 applications for this position (including tenured professors from
The unseen toll: Depression, anxiety plague Black women a year after being fired by DOGE
DOGE cuts dismantled a job pipeline for D.C.’s Black community and gutted the well-being of the women who hold up it up.
More! More! More! Tech Workers Max Out Their A.I. Use.
At a number of companies, employees compete on leaderboards to show how much A.I. they’re using. They’re racking up big bills along the way.
Eric and Wendy Schmidt Center for Data Science & Environment | Research UC Berkeley
Launched in 2022, the Eric and Wendy Schmidt Center for Data Science & Environment (DSE) at Berkeley is a partnership between UC Berkeley's Department of Environmental Science, Policy, and Management and the Division of Computing, Data Science, and Society, with the financial support of Eric and Wendy Schmidt, working to take on these challenges.
Women Who Code helps female engineers level up in their careers
Read more on Y Combinator's blog.
How SSA Makes Long Context Practical
Subquadratic is a frontier AI research and infrastructure company building a new class of LLMs.
3 Powerful Takeaways from the National Workshop on Data Science Education
As the field flourishes, there is much we can do to benefit its countless students.
We should rethink how we teach people to code | deadSimpleTech
It's fair to say that the tech industry at the moment is not in a good place. Software engineers tend to be detached, demotivated and unwilling to care much about the work they're doing beyond their paycheck. Code quality is poor on the whole, made worse by the current spate of vibe coding and whatever other febrile ideas come out of Sam Altman's brain. Much of the software that we write is either useless or actively hurts people. And the talented, creative people that we most need in the industry are pushed to the margins of it.
WAO - The Workers' Algorithm Observatory
The WAO researches and audits work algorithms to empower workers. Companies increasingly rely on opaque, black-box algorithms to determine pay, scheduling, and access to work, while the data needed to understand and challenge these systems remains out of reach for workers and organizers. To address this gap, the WAO develops technology-enabled research tools, data infrastructure, and academic–organizer partnerships that support existing labor and worker organizations. By building meaningful relationships with worker organizers, crowdsourcing data, conducting transparent and policy-relevant research, and thinking deeply about the data workers need both now and in the next 5-20 years, the WAO aims to increase worker power, inform policymaking, and improve conditions for workers today and in the future.
Jobs @ eQualitie - eQualitie
We’re always on the lookout for passionate, talented individuals who believe in protecting human rights, privacy, and freedom of expression online. Our team is global, diverse, working together to make a meaningful impact in the digital space. No Open Positions? No Problem! If our values and work inspire you and you think you’d be a […]
Algorithmic Monocultures in Hiring - Stanford Digital Economy Lab
Many employers screen job applicants with algorithms built by the same few algorithm vendors. We hypothesize that algorithmic monoculture leads to the same individuals and members of the same racial groups facing rejection. We acquire and analyze a novel dataset of 3 million applicants submitting 4 million applications where all the applications are screened by algorithms built by the same vendor.
Learning to code is overrated: An accomplished programmer would rather his kids learn to read and reason
Mayor de Blasio is winning widespread praise for his recent promise that, within 10 years, all of New York City’s public schoolchildren will take computer science classes. But as a career programmer who founded two successful software…
"A department generating high credit-hour production across the university but with few declared majors is not an inefficient department. It is a department whose students are not being counted in the metric being used against it."
Asheesh Kapur Siddique
An excellent analysis of the war on Black studies that also includes a deeply perceptive critique of the neoliberal logic of valuing disciplines based on # of undergrad majors: chronicle.com/article/the-erasure-of-black-…
