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Oxford All-Female Hackathon

lumaHosted on Luma

Fetched 1 day ago

Friday, May 15, 2026

to Saturday, May 16, 2026

•

1 day long

Artificial IntelligenceFintechSocial Impact
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

in person

Ahead of Oxford Tech Week - the largest annual gathering of top technologists, founders, and innovators in Oxford and across Europe, we’re kicking things off with a hackathon that rewrites the rules of building. The Bingo Build is a femcentric, gameified hackathon where teams choose their challenges from a curated bingo board of ideas. This event is co‑hosted with Lumina House, Oxford Edge, Oxford Founders, Enspire Oxford, Oxford VC, OX1, Girls Who ML, Oxford Artificial Intelligence Society, and Oxbridge AIx bringing together the most vibrant communities in tech and entrepreneurship. On Friday night, we kick things off with a garden party where you’ll meet your team and the wider community. On Saturday, we’re hacking full‑speed and we end the day by crowning the team that hits bingo. Note: This is a special event with limited capacity. Early registration is strongly encouraged.

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct