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Sparks Science Collider

8.18.2014

io Datalabs ran a 24-hour science hack/creator event in partnership whith Newcastle University, Cancer Research UK, Campus North and Life Science Centre.

Our main objectives were to promote open data / open science, provide an environment for people to create and learn, and to generate some ideas!

You can find feedback from the event here.

Projects

In alphabetical order:

Cause Experiental Advertising

Crab Synth
(Photo: Ashleigh / iodatalabs)

Team: Satwik Govindarajula.
Description: An experimental advertising campaign to promote early diagnosis of lung cancer and increase the survival rate.
Dataset(s): Cancer Research UK.

Crab Synth

Crab Synth
(Photo: Ashleigh / iodatalabs)

Team: Phil Hayton.
Description: Converts time series data to music. An experimental way to explore data.
Dataset(s): Crablab.
Online: Github Repository

Chaos Genome

Chaos Genome
(Photo: Ashleigh / iodatalabs)

Team: Jannetta Steyn.
Description: Presenting a genome or genomic sequence as an image which can be compared to others.
Dataset(s): Breast Cancer BRCA1 sequence from NCBI.

Guess the Cancer

Guess the Cancer
(Photo: Ashleigh / iodatalabs)

Team: Taavi Raidma, Kevin Twomey, Patricia Goh.
Description: A 'serious game' providing a better method of cancer education and also insights into people's perceptions of cancer.
Dataset(s): Cancer Research UK.
Online: Web app

Merry Jaunt

Merry Jaunt
(Photo: Ashleigh / iodatalabs)

Team: Richard Llewellyn, Stuart Wheater, Irene Del Molino.
Description: The app tracks and predicts walking habits, helping people reach their 10,000 step recommended goal, by using freely available data to predict walking habits.
Dataset(s): Quantified Self (Steps)

Project Bioimaginator

Bioimaginator
(Photo: Ashleigh / iodatalabs, Samuel Hawksby-Robinson)

Team: Samuel Hawksby-Robinson, Gesa Junge, Phil Jeffes, Josien van der Meer.
Description: Creates an art image based on a person's biometric measure, measured by the Bioimaginator booth - to help people engage with scientific images, which then have to be explained.
Dataset(s): Inhibitor.

Stefano the Crab

Stefano the Crab
(Photo: Ashleigh / iodatalabs, Samuel Hawksby-Robinson, Ashleigh / iodatalabs)

Team: Holger Ballweg, Brian Degger, Shelly Knotts, Janine Fenton.
Description: A physical model of the Crab Lab's data set and sonification of the results, making data accessible and fun (and crabby!)
Dataset(s): Crablab.

To Begin To Hope

To Begin To Hope
(Photo: Samuel Hawksby-Robinson, Ashleigh / iodatalabs)

Team: Peter Nelson, Anna-Lena Dettrich, Shivangi Garg, Vicky Teinaki.
Description: An exhibition stand that educates the public (both those that have and haven't experienced cancer) about the scientific and emotional ways to help through it.
Dataset(s): Cancer Research UK.

Talking Web

Talking Web
(Photo: Ashleigh / iodatalabs)

Team: Jonathan Hamilton.
Description: An web app to query a database via voice commands. It responds with speech.
Dataset(s): Cancer Research UK.
Online: Web app (enable Web Audio Input flag in Chrome)

Prizes

Prize Winners
(Photo: Samuel Hawksby-Robinson)

CRUK Data prize - (Talking Web) Jonathan Hamilton
Bronze - Crab Synth (Phil Hayton)
Joint-silver - Stefano the Crab (Holger Ballweg, Brian Degger, Shelly Knotts, Janine Fenton)
Joint-silver - Chaos Genome (Jannetta Steyn)
Gold - (Talking Web) Jonathan Hamilton

Presentations and Workshops

Maneesh Juneja
Maneesh is a Digital Health Futurist. He presented a talk on current and future directions for quantified self devices with social context.

NclScienceComic
Lydia offered an introduction to communication with comics and storyboarding, presented as a short talk and then a workshop.

Jannetta Steyn (Brainwaves)
Introduced the SpikerBox - a hands-on 'citizen science' kit for sensing neuron activity.

Brian Degger
A hands on workshop - build your own microscope from a USB webcam!

Thanks

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If you attended and have pictures or have written a blog post, please contact us to let us know. You should also contact us if you're interested in exploring open data / open science, or future events like this.