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Carbon Calculators
            Group 2
The Calculators We Chose
ïŹ Environmental Protection Agency
ïŹ Berkeley CoolClimate
ïŹ Nature Conservancy


These calculators seemed to be the most in-
 depth and represented different types of
 organizations (a government agency,
 university, and an environmental
 organization)
Differences in Criteria
ïŹ The Berkeley CoolClimate calculator
  seems to give us the largest carbon
  footprint.
ïŹ Motivations: expand knowledge and
  awareness of sources of carbon emissions
ïŹ Target population: Academics,
  intellectuals, persons seeking to gain
  further information about the
  environmental problem
Differences in Criteria
ïŹ   The E.P.A., surprisingly, seemed to give us the
    smallest footprint of all the calculators.
ïŹ   Motivations: government institution, neutrality,
    mobilize others to support the E.P.A., provide
    simple/easy/cheap ways to reduce their carbon
    footprint
ïŹ   Target Population: persons/businesses seriously
    seeking to gain real information about their
    carbon footprint and practical ways on how to
    lower it.
Differences in Criteria
ïŹ   The Nature Conservancy was the most user-
    friendly out of all of the calculators.
ïŹ   Motivations: increase awareness of the
    environmental problem among people who have
    not necessarily been exposed to such
    information, easy-to-use, self-promotion
ïŹ   Target Population: everyday people, people
    relatively new to the environmental movement,
    younger people
Criteria Commonalities
ïŹ   All of the calculators took into
    consideration:
    ï‚Ą The state/region you lived
    ï‚Ą Car mileage / # of miles driven

    ï‚Ą People in household
Trade-offs
ïŹ Some calculators show the impact of
  changes when the user modifies behavior,
  which allow people to alter their behavior
  based on the results.
ïŹ Some calculators generalize for ease of
  use, but sacrifice specificity and accuracy,
  for example, the Nature Conservancy.
Conclusions
ïŹ   Designers need to keep in mind that there are lots of
    calculators already out there; need to consider your
    specific audience and their needs
    ï‚Ą   Can’t design one ‘perfect’/stable calculator
ïŹ   Making it clear how many variables are present in
    these calculations would be helpful
    ï‚Ą   None of the calculators said how accurate they were; implied
        high accuracy even if it was impossible based on given data
ïŹ   Stable Technology? Based on trade-off options and
    different criteria, no

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Carbon Calculators

  • 2. The Calculators We Chose ïŹ Environmental Protection Agency ïŹ Berkeley CoolClimate ïŹ Nature Conservancy These calculators seemed to be the most in- depth and represented different types of organizations (a government agency, university, and an environmental organization)
  • 3. Differences in Criteria ïŹ The Berkeley CoolClimate calculator seems to give us the largest carbon footprint. ïŹ Motivations: expand knowledge and awareness of sources of carbon emissions ïŹ Target population: Academics, intellectuals, persons seeking to gain further information about the environmental problem
  • 4. Differences in Criteria ïŹ The E.P.A., surprisingly, seemed to give us the smallest footprint of all the calculators. ïŹ Motivations: government institution, neutrality, mobilize others to support the E.P.A., provide simple/easy/cheap ways to reduce their carbon footprint ïŹ Target Population: persons/businesses seriously seeking to gain real information about their carbon footprint and practical ways on how to lower it.
  • 5. Differences in Criteria ïŹ The Nature Conservancy was the most user- friendly out of all of the calculators. ïŹ Motivations: increase awareness of the environmental problem among people who have not necessarily been exposed to such information, easy-to-use, self-promotion ïŹ Target Population: everyday people, people relatively new to the environmental movement, younger people
  • 6. Criteria Commonalities ïŹ All of the calculators took into consideration: ï‚Ą The state/region you lived ï‚Ą Car mileage / # of miles driven ï‚Ą People in household
  • 7. Trade-offs ïŹ Some calculators show the impact of changes when the user modifies behavior, which allow people to alter their behavior based on the results. ïŹ Some calculators generalize for ease of use, but sacrifice specificity and accuracy, for example, the Nature Conservancy.
  • 8. Conclusions ïŹ Designers need to keep in mind that there are lots of calculators already out there; need to consider your specific audience and their needs ï‚Ą Can’t design one ‘perfect’/stable calculator ïŹ Making it clear how many variables are present in these calculations would be helpful ï‚Ą None of the calculators said how accurate they were; implied high accuracy even if it was impossible based on given data ïŹ Stable Technology? Based on trade-off options and different criteria, no