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SHARING, SPRINTING AND COLLABORATING IN THE OPEN – Studying Emerging Research Work Practices Juha Kronqvist Media Lab // Aalto University School of Art and Design FISCAR2010 conference 23.5.2010

Swarming in Research Work

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A presentation at the FISCAR2010 Activity Theory conference in Helsinki on my research on new forms of academic research work using approaches from agile programming and peer production.

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Page 1: Swarming in Research Work

SHARING, SPRINTING AND COLLABORATING IN THE OPEN– Studying Emerging Research Work Practices

Juha KronqvistMedia Lab // Aalto University School of Art and DesignFISCAR2010 conference23.5.2010

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ABOUT ME

• Researcher in the VISCI project (CICERO Learning)• Doctoral student at Aalto University Media Lab• Thesis theme:

Studying participatory methods for designing collaborative web environments

http://personas.media.mit.edu/personasWeb.html

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STRUCTURE

1. NEW FORMS OF PRODUCTION AND RESEARCH WORK2. PRESENTING THE CASE OF OPEN RESEARCH3. EMERGING OPEN RESEARCH PRACTICES4. DISCUSSION

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FRAMING THE PRESENTATION

PEER PRODUCTION

RESEARCHPRACTICES

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EMERGING FORMS OF PRODUCTION

“Free software offers a glimpse at a more basic and radical challenge. It suggests that the networked environment makes possible a new modality of organizing production: radically decentralized, collaborative, and nonproprietary; based on sharing resources and outputs among widely distributed, loosely connected individuals who cooperate with each other without relying on either market signals or managerial commands. This is what I call ‘commons-based peer production.’”

Yochai Benkler (2006)

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PRODUSAGE = PRODUCER + USER

• open source software• on-line publishing (blogs, citizen journalism)• knowledge production (Wikipedia, social

bookmarking)• creative practice (A/V sharing, CC distribution)

• Duality of producer-consumer roles (Bruns 2008)

• The emergence of various domains for peer production has challenged the existing value chain, e.g.:

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AFFORDANCES FOR PRODUSAGEAxel Bruns (2008)

1 2PROBABILISTIC, NON-DIRECTED PROBLEM SOLVING

EQUIPOTENTIALITY, NOT HIERARCHY 3 GRANULAR,

NOT COMPOSITE TASKS 4 SHARED,

NOT OWNED CONTENT

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OPEN SCIENCE

• The process of research has for long been guided by the notion of open science, i.e. that it’s produce is considered a public good

• E-Research aims at building infrastructure for supporting access to scholarly information and research data

• Current work balances between technological determinism and social construction (Borgman 2008)

• Open research supports the open sharing of research process and methodologies in addition to data and results

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PEER PRODUCTION OF RESEARCH

• So far examples of peer produced research are few and most are cases of citizen research

• NASA Clickworkers• Mechanical Turk• Birdwatching

• Examples derive mostly from the field of natural sciences

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CASE: RESEARCH SWARM

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(OPEN) RESEARCH SWARM

• An open network of people interested in research• Founded in 2007• Participation is open to all interested• Relies heavily on social media tools in its operation, e.g.:

• Microblogging (http://www.qaiku.com/channels/show/Tutkimusparvi/)

• Wiki’s (http://tutkimus.parvi.fi/)• Etherpad (http://www.etherpad.com – acquired by Google)

• Two successful cases of activity• Collectively written paper at MindTrek conference in 2008• Accepted research proposal for the Academy of Finland

• Activity intensity is fluctuating

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STUDYING EMERGING RESEARCH

• Data collected through virtual ethnography (e.g. Hine 2000)

• participation during the development discussions of the RS• tracing back discussions in microblogs• studying wiki pages• supporting interviews with participants

• Research focus: practices• defined as culturally embedded ways of doing that combine

actions and context (Korkman 2006)

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PRESENTED PRACTICES

1. SHARING2. SPRINTING3. SWARM LEADERSHIP

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SHARING

• The Research Swarm conducts most of its communication using open and accessible web tools

• There exists a social norm for publishing information while it is being generated (e.g. using email is considered ‘embarassing’)

• instrumental for open participation• scope of activities&engagement varies• individual activities can be traced

• Activities• seminar/meeting backchannels• open calls for participation• (micro)updating wikipedia pages• social bookmarking of interesting information

some interaction

low interaction

high interaction

path of engagement

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• Sprinting refers to the action of elevated collective work towards achieving a result within a given time-frame

• Can be f.ex. a case where an open call is made to finish up a paper before the deadline

• Can happen in intervals of a few hours over a few days• During the sprint, the objectives and rules are

constantly communally constructed • The product is constructed granularly or collaboratively

• Amount of participation varies from constructing structure for texts to correcting grammar errors

SPRINTING

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SWARM LEADERSHIP

• Leadership is determined by interest and self-organisation and rotates continuously

• When a new operation is being uptaken, someone formally or informally takes the role of an coordinative swarm leader

• publishing time tables for sprints, tasks and motivating participants through open calls

• this role can change during an operation, and is changed at the latest when an operation ends

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ON SOCIAL MEDIA TOOLS

• Values are internalized through the use of tools and are assimilated as norms that guide behaviour (Engeström 2008)

• Research Swarm activities are afforded and constrained by the functioning of social media, e.g.:

• openness and sharing• textual format• agility and granularity• reliance on networks instead of hierarchies

• Some of the core values are derived directly or through the tools from open source development

SUBJECT

COMMUNITY

Activity System Model (Engeström 1985)

RULES

TOOLS

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DISCUSSION

• Digital networked technologies are influencing research, also in ways not easily predictable

• democratization of research work• wildfire activities (Engeström 2009)

• The use of social media tools seems to have the ability to affect the value-base of their users

• How should this reflect in the way collaborative research tools are designed?

• Pointers for continuing research?

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THANKS!

Juha  KronqvistCoordinator  /  Researcher

VISCI  Project

Media  Lab  /  LeGroup

Hämeentie  135  C  FI-00560  Helsinki,  Finland

+358  (0)41  466  0309