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Crowd Science 2018 : Crowd Science @ HICSS 2018

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Link: https://www.researchgate.net/publication/314246189_Crowd_Science_2018_HICSS_Mini-Track
 
When Jan 4, 2018 - Jan 8, 2018
Where Big Island, HI
Submission Deadline Jun 15, 2017
Categories    crowdsourcing   citizen science   human computation   open innovation
 

Call For Papers

IT-mediated Crowds are being implemented for multifarious purposes, using multifarious techniques. In this minitrack we seek to coalesce a specific and enduring community of IS and IS-related researchers focused on the study of IT-mediated crowds as a phenomenon.

Our aim is to harness, and thus focus, the currently very broad inter-disciplinary study of IT-mediated Crowds within the IS discipline proper, to incite a sharing of results and a cross-pollination of ideas among researchers currently looking at IT-mediated Crowds from IS, I-School, HCI, Computer Science, Marketing, Education, Natural Sciences, Communication, and Technology Innovation perspectives.

In the purview of this mini-track, IT-mediated crowd phenomena include:

 Crowdsourcing
 Crowd Finance (Crowdfunding, Blockchains, Digital Ledgers, etc)
 Prediction Markets
 Citizen Science
 Open Innovation/Competition platforms
 Social Media for resource creation
 Wikis & Wikipedia
 Big Data from crowds
 Participatory Sensing (Crowdsensing)
 Spatial Crowdsourcing (the Sharing & Gig Economy)
 Situated/Geo-fenced/IoT Crowdsourcing/VR crowds
 Wearables Crowdsourcing
 IT-mediated Collective Intelligence

We encourage new empirical and theoretical submissions from social, economic, technical, and organizational scholars, investigating these phenomena in a variety of contexts, including:

 Health Care
 Education
 Governance/Policy/Smart Cities/GIS
 Entrepreneurship/User Innovation/Creative Consumers
 Institutional & Strategic perspectives
 International Business & Development perspectives

Particular questions/topics of interest include:

 Human computation, micro-tasking and virtual labour markets
 Crowdsourced contests, their design and efficacy
 Gamification in IT-mediated crowds
 IT-mediated crowds and law/intellectual property
 IT-mediated crowds for invention and commercialization
 Business models of IT-mediated crowd companies and startups
 The economics of IT-mediated crowds
 The knowledge dynamics of IT-mediated crowds
 IT-mediated crowds and 3D printing
 Wearables & Sensors in, and as crowds
 IT-mediated crowds and machine learning
 The role of Bots/AI in IT-mediated crowds
 Measuring IT-mediated crowds and outcomes
 Formal models/computational models/simulations
 IT-mediated crowd platforms
 IT-mediated crowds & Common pool resources
 Varieties of Crowd Capital
 IT-mediated crowds and Industry/competitive dynamics
 Crowd-member/IT/Organization dynamics
 Crowd-labor movements and labor dynamics
 Expert, non-expert, and mixed Crowds
 Knowledge management in, and through, IT-mediated crowds
 Double-sided markets/electronic markets/platforms

As track co-chairs, we endeavour to coalesce a set of compelling talks, provide developmental paper reviews, and special issues stemming from the track, focused on one or more of the areas mentioned here.

In the last two years, we’re delighted that we’ve been able to welcome eight substantial contributions to the Crowd Science program, which as a whole cross disciplinary boundaries, employ a variety of methodologies, and mark important new avenues in the field.

These contributions, as well as a bibliography of what we consider to be fundamental Crowd Science research, are listed below.

Papers are due June 15 2017. We look forward to your submission!

Mini-track Co-Chairs:

John Prpić
Lulea University of Technology

&

Jan Kietzmann
SFU

Bibliography

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