Skunkworks finder

Autor: Dario Casadevall, Ana Bilandzic, Marcus Foth
Rok vydání: 2018
Předmět:
160403 Social and Cultural Geography
120302 Design Innovation
150307 Innovation and Technology Management
smart cities
social network analysis
incubators
Computer science
120304 Digital and Interaction Design
160401 Economic Geography
Social navigation
02 engineering and technology
entrepreneurship
Recommender system
Skunkworks project
Homophily
080602 Computer-Human Interaction
080709 Social and Community Informatics
human-computer interaction
020204 information systems
080605 Decision Support and Group Support Systems
0202 electrical engineering
electronic engineering
information engineering

0501 psychology and cognitive sciences
Social media
Mobile technology
Social network analysis
050107 human factors
urban informatics
innovation spaces
05 social sciences
interaction design
080704 Information Retrieval and Web Search
Data science
200102 Communication Technology and Digital Media Studies
interdisciplinary innovation
startups
filter bubble
150304 Entrepreneurship
190205 Interactive Media
Filter bubble
160404 Urban and Regional Studies (excl. Planning)
innovation hubs
160514 Urban Policy
social navigation
Zdroj: OZCHI
Australian Conference on Computer-Human Interaction (OZCHI 2018)
DOI: 10.1145/3292147.3292169
Popis: Entrepreneurs and start-up founders using innovation spaces and hubs often find themselves inside a filter bubble or echo chamber, where like-minded people tend to come up with similar ideas and recommend similar approaches to innovation. This trend towards homophily and a polarisation of like-mindedness is aggravated by algorithmic filtering and recommender systems embedded in mobile technology and social media platforms. Yet, genuine innovation thrives on social inclusion fostering a diversity of ideas. To escape these echo chambers, we designed and tested the Skunkworks Finder – an exploratory tool that employs social network analysis to help users discover spaces of difference and otherness in their local urban innovation ecosystem.
Databáze: OpenAIRE