Faculty Profile: Douglas Walton

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Douglas Walton

Doug Walton received his Ph.D. in Organizational Systems from Saybrook Graduate School. Dr. Walton has over 20 years experience as a researcher, manager, and organizational change consultant in the computer industry. He is president of the International Systems Institute and did his doctoral work on the use of communications technology to facilitate evolutionary systems design in the public sphere. He is actively engaged in stewarding conscious evolution as well as teaching and writing about social systems and the impact of technology on society, particularly in the area of computer-mediated conversation. He teaches seminars on systems thinking, authentic participation, and the measurement of well-being in society.

Curriculum Vitae

Upcoming Presentations and Public Addresses

Degrees, Discipline, Year, Institution

  • PhD, Organizational Systems, 2002, Saybrook Graduate School
  • MA, Organizational Systems Inquiry, 2000, Saybrook Graduate School
  • BS, Applied Economics, 1988, University of San Francisco

Current Projects and Professional Activities

 I am currently working in 3 areas. I do organizational change management consulting for the IT department of Cisco Systems, and I am on the teaching faculty in Saybrook's organizational systems concentration. Additionally, I am president of the International Systems Institute, which is a non-profit that is dedicated to making systems thinking available for citizens to use in taking responsibility for cultural evolution.

Significant Publications

Walton, D. (2002). An Evolutionary Systems Model for Using the Internet to Support Democratic Inquiry Among Multiple Design Communities. Ph. D. Dissertation. UMI Proquest.











Important Conference Presentations

Research Interests

My research focues on how systems approaches can be applied to social change, particularly when enabled with modern communications technology to create large-scale collecive action. I am also interested in the systemic impacts of technological advance and cultural evolution.

Research Expertise

My research expertise is the use of systems approaches and action research to understand and change organizational systems. I have used action research, stakeholder analysis, readiness assessments, surveys, interviews, and systems modeling extensively to facilitate change in high tech organizations. I have also used grounded theory extensively.

Expertise Working with Saybrook Students

Helping students with systems analysis and design projects; helping students working on dialogue; helping students working on organizational change and organizational inquiry.

Research Expertise

Research Expertise Rating Guide:

  1. studied in a class or have read intensively on my own
  2. special training in the form of a workshop or equivalent
  3. taught a class in, or supervised research using this method (research practicum, on a dissertation or master's committee
  4. used in research myself
  5. published or presented at conferences my research using this method

Methods Traditionally Considered As Quantitative (But Need Not Be)

Laboratory Research
Field Experiments
Randomized Controlled Clinical
Quasi-experimental methods
Correlational Methods

Methods That Could Use Quantitative Or Qualitative Methods

Action Research
Survey Research
Interview Research
Observational Research
Epidemiological Research
Focus Groups
Self-Observational Methods
Narrative Methods
Feminist Methods
Content Analysis
Discovery-Oriented (psychotherapy)
Events paradigm (psychotherapy)
Archival Research
Case History Methods
Appreciative Inquiry
Multiple Case Depth Research
Hermeneutic Single Case Efficacy Design
Longitudinal research
Cross-sectional research

Methods Primarily Associated With Qualitative Research (But May Also Use Quantitative)

Ethnoautobiographical research
Grounded Theory
Heuristic Research

Types of Analysis

Simple Parametric Statistics (t-test, etc.)
Confidence intervals
Analysis of Variance (including MANOVA)
Analysis of Covariance
Regression (including multiple regression)
Discriminant Function Analysis
Structural Equation Modeling/Path Analysis
Causal Modeling
Cluster Analysis
Survival Analysis
Bayesian Analysis
Meta-analysis and effect sizes
Factor Analysis
Time series analysis
Multidimensional scaling