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Collaborative Science: Designing the Future Dr. Susan Winter University of Maryland, College Park sjwinter@umd.edu
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National Science Foundation “…promote the progress of science… advance the national health, prosperity and welfare… secure the national defense…” –National Science Foundation Act of 1950 EPSCoR goals stimulate sustainable improvements in participants’ R&D capacity and competitiveness advance science and engineering capabilities in EPSCoR jurisdictions
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US R&D Fragmented: Difficult to Influence, Much Less Control Universities Inherently Parochial Government Jurisdictional Issues Private Sector Competitors
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Advance Science and Engineering Capacity Complex intellectual challenges Multi-disciplinary collaboration among diverse teams sharing common resources Distributed Geographically Virtual Organizations!
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Organization of Scientific Work Old Science Lab, Researcher + Assistants Division of Labor Narrow Focus of Work New Science Complex Problems Shared Resources Interdisciplinary Teams Global Operations, Distributed, Asynchronous
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Science Infrastructure Development Enabling Technologies Organization of Work Exploitation of Capability
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Principles for Designing Collaborative Science Organizations Informed and Reflective Choices General Principles Understand Specific Contexts
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Organizations Likelihood of Success for Kinds of Alliances Knowledge-based Alliances Least Likely Leadership and Processes are Important Silos are Hard Interactions Incentives Insights Building Cultures Building Spanning Roles
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Knowledge Management/ Group and Team Science Trust is Key Absorptive Capacity Tacit vs. Explicit Knowledge
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Sociotechnical Systems “If You Build it, They Will Come” Myth Crowdsourcing/Social Participation Citizen Science Prizes/Contests/Competitions Gamification Incentives NOT well understood
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3 Aspects of Scientific Work Assets What do you have to work with? Knowledge Flows Who tells who about what and when? Governance Who can make what decisions? What are the incentives?
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3 Aspects of Scientific Work Dimension Assets Knowledge Flows Governance Collaboration Success Knowledge-based Alliances vs. Sharing Equipment or Data Silos Impede Knowledge Flows Mandating Use vs. Incentives
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Types of Collaborations Lifecycle and Endurance Temporary, Recurring, Permanent Boundedness Problem-focused vs. Group-enabling Scale and Scope 2 vs. 2,000 Scientists
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Determinants of Enablers Degree of Shared Context Discipline, Department, Organization, Country, Language, Culture Task and Actor Interdependence Divisible, Serial Dependence, Co-creation
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Determinants of Enablers Regulatory Environments Degrees of Freedom? Technical and Human Infrastructure Tools Custom, Off-the-Shelf, End-User Developed Heterogeneous Environments (Platforms, Networks) Poor Fit to Tasks Technical Difficulties are the Norm! Human Large Gaps in Expertise on Teams
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Mix Modalities to Enable Knowledge Flows Oral Face-to-Face, videoconference, phone Written Manuals/Wikis, Contracts, Journal Articles Pictures/Graphics (drawing boards), Meta-data, MOUs, email, Text Messages, Blogs, Tweets
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Is this easy? No! Hitting a Moving Target Will Eventually Sort it Out Goal = Accelerate Process so Get Sorted Faster Hard and Persistent Problems even with the Help of the Organizational Sciences Resources are Sparsely Distributed and Poorly Connected (Who do you call for help?) Hard to Disseminate Lessons Learned
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Problems Are Tractable If Committed & Not Easily Discouraged In It for the Long Run Issues Play out Over Time Iterative Process of Doing & Learning Synthesis Across Instances for Patterns Know why you are invested in this Complementary Assets Engage Really Good People to Work on Them
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Designing Collaborative Research Organizations: Smart Learning by Doing Bring Assets to Bear on the Problem Research Evidence Industry Lessons Learned Assessment for Continuous Improvement Support Leaders and Members for Knowledge Transfer/Deployment Workshops, Manuals, Online Resources More Research/Translation to Practice
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Questions?
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Understanding Innovation Communities Building Innovation Communities Realizing the Potential Translational science Research Evidence: Creation/Synthesis/Agenda Tailored suite of materials: - Practices, tools, processes… - Scale, Disciplinarity, Pedagogy Funding Good Practices Human Capital
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