We are pleased to announce the Cambridge multimodal imaging neuroscience data (MIND) hackathon, that will take place at West Hub on 28th & 29th April 2025! We welcome all researchers and students in neuroscience, cognitive science, computer science, engineering, and related disciplines to get together for 2 days of problem solving on the topic of multimodal functional neuroimaging data analysis. Over 2 days, participants will compete in teams of 3-5 people to find an innovative way of analysing/interpreting multimodal neuroimaging data to solve set problems by leveraging the advantages of different neuroimaging modalities. Participants will be provided pre-recorded data from EEG, fNIRS and fMRI, and each team will need to incorporate at least two of these modalities in their proposed solution. Projects will be evaluated by judges, experts in their fields, and the winning team will share a £500 prize. In addition, teams will also compete for the people's choice prize of £250, voted for by all the participants. Food, coffee and tea will be provided throughout the 2 days.
We are hoping this event will contribute to building a community of people working with functional neuroimaging data around Cambridge, and foster the sharing of practices between the different related research fields!
A social will also take place in the evening of the first day.
Francesco Cenciarelli • Jakob Träuble • Rohan Krajeski • Pablo Soëtard • Pascal Wodtke
Marcella Montagnese • Clara Pecci • Natalia Garcia-San-Martin • Sara De Felice • Kirsten Thomas
Monday 28th April | ||
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09:00 | Registration - Coffee, tea and biscuits | |
09:30 | Forming teams, introduction with dataset reveal and hackathon kickoff | |
10:00 | GitHub and project collaboration tutorial | |
11:00 | Teamwork (ideation) | |
13:00 | Lunch | |
14:00 | Teamwork - Coffee, tea and biscuits | |
19:00 | Social | |
Tuesday 29th April | ||
09:00 | Teamwork - Coffee, tea and biscuits | |
13:00 | Project submission deadline - Lunch | |
14:00 | Teams' project presentations | |
15:30 | Judges deliberation - Coffee, tea and biscuits | |
16:00 | Awards and closing remarks |
Registration | £24 |
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Registration closed |
Aleksandra is a Research Fellow on the Responsible AI UK project, focusing on human-computer interaction (HCI), human-robot interaction (HRI) and embodied AI. With a background in cognitive neuroscience, her research centres on using neurotechnology and brain-computer interfaces (BCI) using fNIRS and EEG, to develop effective interfaces between humans, robots, and AI systems. Her work aims to enhance communication, facilitate action, and improve collaboration between humans, AI and robots, contributing to more responsible and ethical AI integration.
As an Alzheimer's Society Dementia Research Leader Fellow in brain resilience, Kamen's research goal is to obtain a better understanding of the complex relationship between human brain dynamics and cognition in in relation to genetic, vascular and comorbidity factors. Kamen approaches this goal using a variety of methods, examining human neural dynamics at the neurophysiological, haemodynamic, and neurotransmitter levels with data-driven and generative modelling of magnetic resonance imaging and electrophysiological recordings.