{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

ES 9_16_09 Science

ES 9_16_09 Science - • Data – VERIFIABLE “Facts”...

Info icon This preview shows pages 1–5. Sign up to view the full content.

View Full Document Right Arrow Icon
9/21/09 1 Science and Values Using science for decision making – Science - what what is happening/will happen and solution options – Values - what to do “What will we do about the increase in our own species and its impact on our planet and our future?” Precautionary Principle Assumptions of the Process of Science We perceive reality with our five basic senses Objective reality functions according to certain basic principles and laws Causes and effects are explainable We have tools and capabilities to understand basic principles and natural laws
Image of page 1

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
9/21/09 2 How the Process of Science Works Scientists must not only CONFIRM their hypotheses, but also must make sure that nothing NEGATES their hypotheses; the answers come from a preponderance of supporting data with no negating data Commonly misused words Scientific Question – Observation, experimentation • Data
Image of page 2
Image of page 3

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 4
Image of page 5
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: • Data – VERIFIABLE, “Facts” • Law – WHAT - based on data, always happens (so far) • Theory – WHY - best answer based on all data - nothing negates this explanation (yet) • Model – USEFUL representation or tool for prediction 9/21/09 3 More than one way to do science • Reductionism and Systems Analysis Example: Health • Reductionism and Systems Analysis 9/21/09 4 Systems Models • Computer Models – Mathematical Representations - simulation models • Equations • Coefficients – Scenario Analysis - “what if…?” Why are systems so hard to manage? • Complexity – Feedback loops • Positive feedback • Negative feedback – Unknown connections and hierarchies • Time Lags and Distance Effects • Linear vs. Nonlinear relationships • Unpredictability and probability – stochastic behavior and variance 9/21/09 5 Why are systems so hard to manage?...
View Full Document

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern