Website

http://epi.yale.edu/the-metric/help-us-improve-our-global-wastewater-indicator

Description

No time to waste: Crowdsourcing global wastewater treatment data

Worldwide, over 80 percent of wastewater is discharged into water bodies without undergoing treatment, severely impairing human well-being and ecosystem vitality along the way. National performance on wastewater treatment is difficult to quantify and is poorly understood due to a lack of common definitions, poor data collection standards, and limited historical data. To address this, the Yale Environmental Performance Index (EPI), a research group that produces a biennial ranking of country-level environmental performance, developed a first-of-its kind national wastewater treatment indicator.[1]

The indicator assesses wastewater treatment performance for 183 countries, but there are still data gaps and quality issues to address. The Yale EPI is looking to refine and improve its database through a first-of-its-kind innovative effort to crowdsource updates and feedback using an interactive map of wastewater treatment performance.[2] The crowdsourcing effort is targeted at water experts and decision-makers around the world and aims to:

  1. Validate existing data by working with local experts,
  2. Improve spatial and temporal data coverage
  3. Build a wider community of users around wastewater data.

Yale EPI’s wastewater treatment indicator can help improve understanding of the topic, and refine the signal sent to policymakers about proper management.


Keywords (wastewater, crowdsourcing, map, treatment, ecosystem, indicator, EPI, national, global, database)

[1] Malik, Omar A., et al. 2015. “A global indicator of wastewater treatment to inform the Sustainable Development Goals (SDGs).” Environmental Science & Policy 48: 172-185.

[2] Torres Quintanilla, Diego, Peter Hirsch, Samuel Cohen. Wastewater Treatment Map. Environmental Performance Index, Yale Center for Environmental Law & Policy, 6 July 2015. Web. 26 Aug. 2015. .

Comments

The map itself can be found here: http://www.epi.yale.edu/waste_map

 

Crowdsourcing Global Wastewater Data

No time to waste: Crowdsourcing global wastewater treatment data

Worldwide, over 80 percent of wastewater is discharged into water bodies without undergoing treatment, severely impairing human well-being and ecosystem vitality along the way. National performance on wastewater treatment is difficult to quantify and is poorly understood due to a lack of common definitions, poor data collection standards, and limited historical data. To address this, the Yale Environmental Performance Index (EPI), a research group that produces a biennial ranking of country-level environmental performance, developed a first-of-its kind national wastewater treatment indicator.[1]

The indicator assesses wastewater treatment performance for 183 countries, but there are still data gaps and quality issues to address. The Yale EPI is looking to refine and improve its database through a first-of-its-kind innovative effort to crowdsource updates and feedback using an interactive map of wastewater treatment performance.[2] The crowdsourcing effort is targeted at water experts and decision-makers around the world and aims to:

  1. Validate existing data by working with local experts,
  2. Improve spatial and temporal data coverage
  3. Build a wider community of users around wastewater data.

Yale EPI’s wastewater treatment indicator can help improve understanding of the topic, and refine the signal sent to policymakers about proper management.


Keywords (wastewater, crowdsourcing, map, treatment, ecosystem, indicator, EPI, national, global, database)

[1] Malik, Omar A., et al. 2015. “A global indicator of wastewater treatment to inform the Sustainable Development Goals (SDGs).” Environmental Science & Policy 48: 172-185.

[2] Torres Quintanilla, Diego, Peter Hirsch, Samuel Cohen. Wastewater Treatment Map. Environmental Performance Index, Yale Center for Environmental Law & Policy, 6 July 2015. Web. 26 Aug. 2015. .

http://elischolar.library.yale.edu/dayofdata/2015/Posters/3