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Conference Paper presentation at INSCI2016: An empirically informed taxonomy for the Maker Movement
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Conference Paper presentation at INSCI2016: An empirically informed taxonomy for the Maker Movement
1.
An empirically informed taxonomy for the Maker Movement Chris&an Voigt (ZSI), Calkin Suero Montero(UEF), Massimo Menichinelli (FabLab-BCN, AU) Centre for Social Innova9on | Dr. Chris&an Voigt 3rd International Conference
on Internet Science INSCI 2016 – September 12-14, Florence, Italy
2.
Context: Collec9ve Awareness Pla>orm • The Maker Movement is -among many things - a way to empower people to take ownership of designs and means of produc7on. • Ownership also means controlling value preferences embedded within a product •
For example – materials used, – features provided, – energy consumed, – openly designed etc. Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 2 What defines the Maker Movement ? Taxonomy • comparability • track changes in meaning • fostering abstractions
3.
Problem Statement & Approach • Taxonomies are frequently ad hoc crea&ons, i.e – unclear origins or theore&cal frameworks –
may lack empirical founda&ons • Approach tested – Can social media, google trends and access sta7s7cs inform taxonomic structures? => explanatory usefullness • Objec&ve – Test tools, methods and risks (modera&ng effects) Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 3
4.
Taxonomy refinement Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 4
5.
1ST STEP: SELECTORS Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 5
6.
Seeds ü people: maker, hacker; ü places: makerspaces, hackerspaces, fablabs; ü ac9vi9es: DIY, 3d-prin&ng, making, hacking maker_educa&on. Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 6 13.Ratto, M.:
Critical making: Conceptual and material studies in technology and social life. The Information Society. 27, 252–260 (2011). 14.Anderson, C.: Makers: the new industrial revolution. NY (2012). 15.Dougherty, D.: The maker movement. innovations. 7, 11–14 (2012). … used as hashtags, search terms and wikipedia pages – ‘seed word’ concept.
7.
2ND STEP: SOCIAL MEDIA ANALYSIS Co-Word Analysis Wikipedia Sta&s&cs Google Trends (Search, Co-Search) Emo&onal Profiling Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 7
8.
Co-Word analysis in R • download tweets (specified by one or more hashtags, max 13.000, within last 7 days) • create corpus (i.e. combina&on of several text files) •
clean text (only alphabe&c chars, no numbers or brackets, no URL links or retweet– RT – or @names) • create term matrix (word by word matrix => gets huge) • remove sparse terms (i.e. very few combina&ons) • plot top 20 or top 30 co-words Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 8 needed <- c ("twitteR", "tm”, "ggplot2”) sapply (needed, require)
9.
13,000 tweets with #3dprin9ng Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 9 Risk #1:
Short time span & high impact events
10.
Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 10
11.
Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 11 Wikipedia Access Sta9s9cs Another example for
the impact of external events ...
12.
Timeline interpreta9ons • 'hackerspace’ are declining aler 2013 • visits to 'maker_culture' page are increasing •
2013: publica&on of Chris Anderson's Makers: The New Industrial Revolu7on. • 2011 cover story from the Economist "Print me a Stradivarius" • no clear idea for decline of DIY aler 2013 Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 12
13.
Google Trending Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 13 Risk #2:
Reflecting semantics (3D printing being part of DIY) Risk #3: Non-testable data generation
14.
3RD STEP: DRAFT TAXONOMIC STRUCTURE Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 14
15.
People: DraX Taxonomic Structure ... so far co-word analysis, seemed the most comprehensible approach. Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 15
16.
Outlook • integra&on of &me dimension, indica&ng decreasing and increasing terms (e.g. Google Trending) • tes&ng of automated taxonomy buidling (e.g. in an educa&onal context where taxonomies maner to support the exchange of materials and lesson plans) Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy
16
17.
BACK-UP Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 17
18.
EMOTION ANALYSIS Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 18
19.
Posi9ve emo9ons – Clear: 'Lots of great prac&cal &ps for crea&ng a library makerspace' (Eagerness) – Ambiguous: 'Huge thanks to Cargill Salt for approving our grant for our Maker-space. You're helping to foster crea&vity and innova&on!' (Liking) – False: 'Aleph objects opens new fulfilment center in Australia, offers free shipping - 3dprint.com ' (Fulfillment) Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 19
20.
Nega9ve emo9ons – Clear: 'thanks! I want to try... afraid I'll do most of the work in the minimal maker-space &me we have!' (Distress) – Ambiguous: 'Worried about #makerspace logis&cs? #fallcue is here to help! It's not just for tech! ' (Distress) – False: 'If kids can imagine it, they can build it! Perfect for blas&ng away boredom #makerspace' (Weariness) Centre for Social Innova&on | voigt.cmc@gmail.com An empirically informed taxonomy 20 Risk #4:
Unknown classification errors
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