UMich Data learning for better drinking water in small utilities

The University of Michigan developed a master training module with three different interactive data-rich learning exercises based on actual drinking water quality monitoring and management practices from the Ann Arbor system. The pilot module will focus on distribution system flushing programs, which serve as i) one of the few ways utilities can actually impact water quality after it leaves the treatment plant, ii) a low-barrier entry point for developing industry-applied data-science competencies and innovation, iii) a nexus between what the drinking water consumer can perceive about their water quality and what other imperceptible water quality parameters the utility manages. A series of nested training modules will be developed from the research findings of Doctoral Candidate, Matthew Vedrin, on the City of Ann Arbor’s flushing program. The modules will focus on 1) the short and long-term effectiveness of the flushing program to achieve the targeted water quality improvements, 2) monitoring drinking water quality in the distribution system and identifying important trends, and 3) using water quality data from the flushing program to make evidence-based changes to the flushing program and other distribution system water quality management practices.
Adobe PDF Learning Module (3 MB)
Adobe PDF Data Lab (1 MB)
Adobe PDF List of Versions of the PIT UN training Module for Water Sector (1 MB)

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Date:
2023-08-30
Primary Material Type:
Online Course Module
Other Material Types:
Data sets
Institution:
University of Michigan
Funding Source:
Network Challenge Grant TAACCCT Round 3
Subjects:
public interest technology, PIT, community technology, technology community, data analytics, public utilities, water, climate, environment, analytics, access & digital divide, Data Literacy, Civic Technology, Technology civic, health IT, Technology health, Technology public

Industry / Occupation

Industry Sector:
Public Interest Technology -- Data -- Algorithms
Occupation:
Computer and Mathematical Occupations -- Operations Research Analysts (15-2031)

Education / Instructional Information

Instructional Program:
Natural Resources and Conservation (03)
Credit Type:
  • Credit
Credential Type:
  • Bachelors Degree
Educational Level of Materials:
  • 2nd Year Community College or equivalent
  • Upper division of Bachelors degree or equivalent
Time Required:
academic year
Language:
English (United States)
Quality of Subject Matter was assured by:
  • Consultations during development of instructional materials
Quality of Online/Hybrid Course Design assured by:
  • None

Copyright / Licensing

 

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