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-- Main.JonathanSchildcrout - 17 Sep 2017 ---+ Strategic Planning ---++ Academics: Research and Education Where we want to be by mid-October * <strong style="background-color: transparent;">V</strong><span style="background-color: transparent;">ision, </span><strong style="background-color: transparent;">M</strong><span style="background-color: transparent;">ission, </span><strong style="background-color: transparent;">O</strong><span style="background-color: transparent;">bjectives, </span><strong style="background-color: transparent;">S</strong><span style="background-color: transparent;">trategies, and </span><strong style="background-color: transparent;">A</strong><span style="background-color: transparent;">ction Plans</span> * Vision (the dream) * Your vision communicates what your organization believes are the ideal conditions for your community – how things would look if the issue important to you were perfectly addressed. This utopian dream is generally described by one or more phrases or vision statements, which are %RED%brief proclamations that convey the community's dreams for the future%ENDCOLOR%. By developing a vision statement, your organization makes the beliefs and governing principles of your organization clear to the greater community (as well as to your own staff, participants, and volunteers).There are certain characteristics that most vision statements have in common. * In general, vision statements should be: * Understood and shared by members of the community * Broad enough to encompass a variety of local perspectives * Inspiring and uplifting to everyone involved in your effort * Easy to communicate - for example, they should be short enough to fit on a T-shirt * Mission (the what and the why) * <p>An organization's mission statement describes _what_ the group is going to do, and _why_ it's going to do that. Mission statements are similar to vision statements, but they're more concrete, and they are definitely more "action-oriented" than vision statements. The mission might refer to a problem, such as an inadequate housing, or a goal, such as providing access to health care for everyone. And, while they don't go into a lot of detail, they start to hint - very broadly - at _how_ your organization might go about fixing the problems it has noted. Some general guiding principles about mission statements are that they are:</p> * _Concise_. Although not as short a phrase as a vision statement, a mission statement should still get its point across in one sentence. * _Outcome-oriented_. Mission statements explain the overarching outcomes your organization is working to achieve. * _Inclusive_. While mission statements do make statements about your group's overarching goals, it's very important that they do so very broadly. Good mission statements are not limiting in the strategies or sectors of the community that may become involved in the project. * Goals * Up to about five overarching goals or objectives that should be stated using the ‘SMART’ format (specific, measurable, achievable, relevant (or results- <span style="background-color: transparent;">based), and time </span><span style="background-color: transparent;">- </span><span style="background-color: transparent;">bound)</span> Organization: * Focus: The aim of this strategic plan is to outline the Biostatistics Departments' priorities over the course of the next 10 years so that faculty, staff and students have a shared vision and interest in the outcome * Vision * Mission * Core competencie * Values: * Highest Priority Goals: bulleted list of the goals * Goals: Bulleted points describing details of Goals Departments to consider * Penn: Biostat department in a medical school * Columbia: Similar funding mechanisms * Wisconsin: A biostat and medical informatics department * Washington: * Johns Hopkins: A leader in innovative thought about biostat education * University of Michigan * University of North Carolina * Harvard * Stanford * Minnesota ---++ Research Methoodological Collaborative Strengths: Weaknesses: Future direction and emphasis: ---++ Education Strengths: * Smallish classes * Individualized student experience Weaknesses: * Not enough classes for our grad students: * Survey sampling, causal inference, epi methods, missing data * Do not teach undergrads: Classes * Classes for other grad students? * Data science related Future direction and emphasis:
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Topic revision: r4 - 19 Sep 2017,
JonathanSchildcrout
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