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LSE Generate x Lovable: Access by Design Hackathon

lumaHosted on Luma

Fetched 1 day ago

Friday, May 8, 2026

to Friday, May 8, 2026

Artificial IntelligenceHealthtechFintech

Event Type

in person

74

Participants

$900

Prize Pool

6

Est. Projects

LSE Founders & no-code enthusiasts! LSE Generate, the school's entrepreneurship centre is bringing you a hands-on build day to reimagine healthcare access through design thinking and AI. No coding required — participants will use Lovable to explore, prototype, and test ideas that address real-world health challenges faced by underrepresented communities. As part of our AI founders vertical program, you are invited to join as individuals or teams to hack out some of the mystery themes we have curated for you, it will be a full-on seven hour sprint so come prepared and committed! Prizes for the winners: Winning team of the Hackathon: £500 in cash Lovable Best AI Trailblazer Award: $900 credits for the team (six months free Pro Package) + merchSGN Best Social Innovation Award: £200 in cash Flow: 10 AM - vibe setting, ground rules10:30 AM - Lovable demo and exercise time 11 AM onward - team formation, light mentoring and build sprints 5:30 PM - Demo day, winners announced and it's cocktail hour! Judging Panel Pritam Ghosh, Executive Director, AI Implementation, JPMorgan Chase & CoRounak Verma, Doctor, co-founder of FairMD and NHS AI champion Gay Palmer, Social Prescriber Team Lead, South Southwark Primary Care Network Mentor Professor Ernestina Coast, Health and International Development, LSEMarco Molinari, Founder of LSE AI ​*Special thanks to our collaborator Singapore Global Network. As a division within the Singapore Economic Development Board, they warmly invite you to join their 140,000-strong network of entrepreneurs, global professionals and friends, you can follow their socials (@singaporeglobalnetwork) to find out what their global community is up to, in and around Singapore! **This event can only accommodate six teams with seven team members max, please apply early to avoid disappointment By signing up to this event, you will be added to LSE Generate’s mailing list. If you’d like to unsubscribe, you can do so via email.

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