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Discovering the value of humanistic inquiry

Artificial intelligence has become part of the zeitgeist. And while it’s a polarizing topic, Linda Rabieh has a unique take on AI: “It’s good for business. Our business, of humanistic thinking.” As senior lecturer in the Concourse program, one of MIT’s first-year learning communities, Rabieh has been introducing students to the “business” since 2010. “What AI

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Documenting the tech worker movement

Despite the “dot-com crash” in 2000, the tech industry remained an attractive career destination for many who believed technology represented the future. The digital age — defined by global connectivity and computers — had firmly taken hold, and over time, the tech industry emerged as a dominant force in the labor market. High-paying jobs for

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Documenting the tech worker movement

Despite the “dot-com crash” in 2000, the tech industry remained an attractive career destination for many who believed technology represented the future. The digital age — defined by global connectivity and computers — had firmly taken hold, and over time, the tech industry emerged as a dominant force in the labor market. High-paying jobs for

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Poitras Center to fuel early careers of 50 young scientists dedicated to psychiatric disorders research

Patricia and James Poitras ’63, longtime MIT supporters, have launched a fellowship program for graduate students and postdocs studying major mental illness, expanding their MIT philanthropy to directly support early-career scientists. The commitment establishes 50 two-year fellowships through the Poitras Center for Psychiatric Disorders Research at MIT’s McGovern Institute for Brain Research. Five fellowships will be awarded every

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Can you futureproof your career by choosing an AI-resistant degree?

Humans will have to compete with AI-powered virtual employees in the near future. Here are our tips for the last human holdoutsFutureproofing your career with an AI-resistant degree is a tough ask, says Charlie Ball, an expert on graduate employment for Jisc, the UK’s higher education digital, data and technology agency.“What you’re trying to do

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AI may be denting computer science graduates’ job prospects, UK data shows

Economics graduates also appear to be affected as demand for them falls in well-paid roles in financeAI may be warping the job prospects for students in the previously high-demand subjects of computer science and economics, according to a detailed look into the careers of recent UK graduates.Data obtained for the 2027 Guardian University Guide published

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Ila Kumar: Innovating with communities

Before Ila Kumar thinks about how to build technology, she asks a different question: What is the context that technology will operate in, and who needs to be involved in the design? For Kumar, meaningful innovation doesn’t result from engineers or designers working in isolation. Instead, she believes the best innovations emerge when the people who

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Connecting research to policy on Capitol Hill

This spring, 25 MIT students and postdocs traveled to Washington to meet with congressional staffers and advocate for sustained federal investment in scientific research. With recent cuts to National Science Foundation programs and continued uncertainty surrounding the federal research budget, these conversations were especially timely. Over the course of just two days, participants met with 62

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Working to automate nuclear plant operations

For nuclear to be considered as a viable clean energy source, it has to be competitively priced and economical to produce. Lauren Fortier, a second-year doctoral student in the Department of Nuclear Science and Engineering (NSE), is helping the cause by developing remote operation protocols for autonomous control of nuclear plants. After an undergraduate degree in materials

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Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering

Artificial intelligence has rapidly transformed software engineering. Generative AI and large language models (LLMs) can create huge volumes of code and documentation; machine-learning algorithms can monitor performance and detect security vulnerabilities. But when the task is to conceive, design, and make a complex physical system such as a jet engine, are those AI tools equally

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