Using Data in Museum Planning

Using Data in Museum Planning

Instructor: Emily Kalnicky
Regular price $199.00 $0.00

Course Dates

March 1, 2021 - March 28, 2021

Course Description

Effectively using evaluation and data to make decisions in museum planning will only be effective if the goals and outcomes are clearly defined. This course is designed to help you understand how to clearly identify inputs, outputs, stakeholders, and outcomes so that you can capture meaningful data to assist in your planning. This course is perfect for anyone looking to support organizational desires to use data to make informed decisions.

Students who successfully complete the course will:

  • Understand the difference between inputs, outputs, and outcomes when it comes to program design and planning.
  • Learn how to design an effective logic model.
  • Understand the connection between an effective logic model and capturing the data needed to make effective data informed museum planning decisions.

    About the Instructor

    Matthew ClouseDr. Emily Kalnicky’s lifelong career interest and passion for developing educational programming and research focused on connecting youth and adults to nature began more than 20 years ago as a volunteer at the Henry Vilas Zoo in her hometown of Madison, WI. She holds a doctorate in ecology from Utah State University, a master’s in natural resources and environmental sciences from the University of Illinois at Urbana-Champaign, and bachelor of science degrees in zoology, psychology, and Spanish from the University of Wisconsin-Madison. Kalnicky has experience teaching youth and adults in the US and abroad, in both formal and informal settings.

    Kalnicky has spent her career leading education, evaluation, and research in a variety of museum contexts, from zoos to botanical gardens and conservatories to nature centers. She most recently served as the Evaluation and Research Specialist at the Minnesota Zoo in Apple Valley, MN. Before that, she has held many roles at museums and non-profits, including executive director, director of education, and research manager, with a large focus on using data to effectively lead and drive decision-making.

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