Designed by AI co-originators and Weatherhead faculty members David Cooperrider, PhD, and Ronald Fry, PhD, this program presents a proven approach to accelerating organizational change by redirecting focus to core strengths. Through a combination of coursework and fieldwork, earn advanced professional education in the foundations of AI and work on projects specific to your own organization. The certificate bridges high ideals with the results orientation of business and industry.
Coursework for the Certificate:
The certificate is awarded after completion of the three-part sequence outlined below.
Discover how and why Appreciative Inquiry works through case studies and illustrations. Learn how to ask the questions that open the floodgates for positive change, engage the whole system, and generate measurable results. Appreciative Inquiry: Leveraging Strengths for Transformative, Lasting Change is a 3 day in-class program.
- How and why Appreciative Inquiry works
- AI in action – Case studies, stories, illustrations
- Questions that make positive change possible
- Engaging the whole system in change
- Develop a project for your organization
Appreciative Inquiry: Leveraging Strengths for Transformative, Lasting Change may be taken separately without completion of the entire certificate program.
Part II: Field Work
- An Inquiry into the Stories and Lives of Leaders in the Field
Join in a global inquiry on business as an agent of world benefit by conducting three appreciative interviews with social and business change leaders to capture golden innovations and visions of a future where business and society are even more positively connected.
- The Monthly AI Learning Conferences
Participants around the world connect with Weatherhead faculty and colleagues through periodic internet mediated coaching and conference calls.
- The Certificate Program Qualifying Portfolio
Participants move to a new level of capability by preparing one paper: a report on their inquiries with three leaders in the field and an analysis of their own projects.
Part III: The Advanced Workshop on AI
In this capstone session, a three-day in-class program, participants experience the power of appreciative learning through interactive feedback sessions on AI projects.
- Appreciative Inquiry: Leveraging Strengths for Transformative, Lasting Change (3 full days)
February 21 - 23, 2017
- Advanced Workshop (3 full days)
August 21 - 23, 2017
Cost of Certificate:
Appreciative Inquiry Certificate in Positive Business and Society Change (Full Certificate)
Appreciative Inquiry: Leveraging Strengths for Transformative, Lasting Change (Single Class Only)
David L. Cooperrider, Ph.D., Fairmount Santrol - David L. Cooperrider Professor in Appreciative Inquiry and professor of organizational behavior. As a co-originator of AI, Dr. Cooperrider is an expert in positive organizational change. He is the co-author of several books including the Appreciative Inquiry Handbook and Appreciative Inquiry: A Positive Revolution in Change. His work has been covered in The New York Times, Fast Company, Human Resources Executive Magazine, and Training Magazine. In addition, he consults for organizations such as American Express, BP America, and the U.S. Navy. Dr. Cooperrider earned his PhD from Case Western Reserve University.
Ronald Fry, Ph.D., chair and professor of organizational behavior. Dr. Fry, a co-originator of AI and noted authority on the subject, has published numerous journal articles and books on AI, including co-authoring the Handbook of Transformative Cooperation with Cooperrider and Appreciative Inquiry: A Positive Approach to Building Cooperative Capacity with Frank Barrett, and has developed and conducted a certificate program in Appreciative Leadership and Organizational Capacity Building in over 30 countries. He also consults with a variety of organizations including The Lubrizol Corporation, Roadway Express, and the U.S. Navy. Dr. Fry received his PhD from Massachusetts Institute of Technology.
Receipt of Certificate
Participants will receive their certificates at the conclusion of Part III: The Advanced Workshop on AI.