Author-tag: Gary Olson

Resources to help team scholarship achieve success

By Gary M. Olson, Judith S. Olson, Dan Stokols and Maritza Salazar Campo

authors_gary-olson_judith-olson_dan-stokols_maritza-salazar-campo
1. Gary M. Olson (biography)
2. Judith S. Olson (biography)
3. Dan Stokols (biography)
4. Maritza Salazar Campo (biography)

In this blog post we review the benefits and difficulties of working in teams before introducing a new web site whose goal is to help those carrying out collaborative interdisciplinary projects to solve problems and be more effective.

Benefits of working in teams

Working in teams has at least five major benefits:

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Idea tree: A tool for brainstorming ideas in cross-disciplinary teams

By Dan Stokols, Maritza Salazar, Gary M. Olson, and Judith S. Olson

authors_dan-stokols_maritza-salazar-campo_gary-olson_judith-olson
1. Dan Stokols (biography)
2. Maritza Salazar (biography)
3. Gary M. Olson (biography)
4. Judith S. Olson (biography)

How can cross-disciplinary research teams increase their capacity for generating and integrating novel research ideas and conceptual frameworks?

A key challenge faced by research teams is harnessing the intellectual synergy that can occur when individuals from different disciplines join together to create novel ideas and conceptual frameworks.

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Strengthening the ecosystem for effective team science: A case study from University of California, Irvine, USA

By Dan Stokols, Judith S. Olson, Maritza Salazar and Gary M. Olson

authors_dan-stokols_judith-olson_maritza-salazar_gary-olson
1. Dan Stokols (biography)
2. Judith S. Olson (biography)
3. Maritza Salazar (biography)
4. Gary M. Olson (biography)

How can an ecosystem approach help in understanding and improving team science? How can this work in practice?

An Ecosystem Approach

Collaborations among scholars from different fields and their community partners are embedded in a multi-layered ecosystem ranging from micro to macro scales, and from local to more remote regions. Ecosystem levels include:

  • individual members of teams;
  • the teams to which they belong viewed as organizational units;
  • the broader institutional contexts (eg., universities, research institutes) that support multi-team systems; and,
  • their community and societal milieus (eg., science policies and priorities established by national and international agencies and foundations).

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