Tag Archives: ai

SONY WOMEN IN TECHNOLOGY AWARD WITH NATURE

Application Deadline: May 30, 2025, at 23:59 (UTC)

LOCATION: Japan

The aim is to recognize and celebrate the remarkable women spearheading advancements in technology, driving positive change for society and the planet. Spotlighting these achievements, we hope to inspire and empower the next generation of women in technology. They will recognize three inspirational women in technology who are poised to redefine the future of their fields, positively impacting our society and the planet. At least one winner will be selected in early-career category each year.

ELIGIBILITY:

Early- to mid-career women researchers working in academia, at a research institution, or an affiliated university spinout are invited to apply. A PhD or equivalent is not required. ​

They embrace diversity and welcome applications from those identifying as women, including transgender women, genderqueer, and non-binary individuals.

Open to full- or part-time researchers within the field of technology. Whether you’re affiliated with a university, research institute, or university spinout—if you’re creating physical or digital tools and solutions, using mathematical and physical science to achieve practical goals, we encourage you to apply.

Women navigating the early stages of their career, having obtained their undergraduate degree within the last 15 years, or experienced professionals in the mid-career phase, having graduated between 15 to 25 years ago, are welcome to apply. A PhD or equivalent is not required.

BENEFIT:

$250,000 prize. Each of the three recipients of this award will be granted a significant prize to advance their research endeavors. Additionally, your work will be showcased on Nature.com, amplifying its impact and fostering collaborations on a global scale. ​

All finalists will be featured on Nature.com and will be invited to the award ceremony in Tokyo.

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STRIPE ECONOMICS OF AI FELLOWSHIP 

Application Deadline: April 15, 2025

LOCATION: USA

The economics of AI remains surprisingly understudied, even as technical progress in artificial intelligence continues rapidly. The Stripe Economics of AI Fellowship aims to help fill that gap by supporting foundational academic research in the area.

Stripe invites graduate students and early-career researchers who are interested in studying the economics of AI to apply, regardless of prior experience. 

ELIGIBILITY:

While they welcome researchers interested in any aspect of the economics of AI, broadly defined, they are particularly interested in supporting high-impact research that:

is focused on the economics of transformative AI

is forward-looking

is expected to be of durable importance, and moves fast.

They expect most of the initial fellows to be grad students or early-career researchers (including postdocs, assistant professors, etc.) in economics.

Researchers from any country are eligible to apply.

Prior experience in AI economics is welcome but not required; exceptional candidates without any background in the field are encouraged to apply, including researchers in departments outside of economics.

Fellows are not required to have a project proposal to apply.

The first call for applications closes on April 15 at 10pm, PT. Decisions will be released on or before April 25.

BENEFIT:

Fellows receive a baseline grant of $10,000. Applicants may request additional funding with justification, for example if funding for a data purchase would accelerate research progress. Graduate students are encouraged to request sufficient funding to buy out a unit of teaching or research assistantship, if they have a specific project idea which a buyout would provide time to work on.

Beyond financial support of at least $10k, the fellowship includes:

Community: A community of like-minded researchers studying the economic implications of AI.

Conference: Funding to attend an exclusive conference in San Francisco (early summer 2025), featuring leading economists and technologists in this space. Fellows will be asked to present a brief project proposal, and invited to participate in follow-up conferences to present and get feedback on preliminary results.
Opportunity for data: The opportunity to gain access to unique datasets through Stripe and its customers.

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