UMich Data learning for better drinking water in small utilities
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Keywords
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, Educational Opportunities
Project
Authors
Hardin, Rebecca
Date Submitted
8/30/23
Material Type
Online Course Module
Secondary Material Type
Data sets
Institution
University of Michigan
Industry Partner
License
CC BY-NC-SA
Funding Source
Network Challenge Grant TAACCCT Round 3
Additional Public Access
https://midas.umich.edu/2022-d4pg/research-talks/
https://conference.oeglobal.org/2023/about-oeglobal-conference-2023/
https://lookerstudio.google.com/reporting/a9815da8-0266-4c34-b2a3-c6aabb8e8376/page/p_42a4vutuuc
https://seas.umich.edu/news/big-tech-faces-scrutiny-24-universities-get-36mmajor- foundations-fuel-inclusive-public
https://youtu.be/BBGJEBSioSI
https://dx.doi.org/10.7302/7422
https://conference.oeglobal.org/2023/about-oeglobal-conference-2023/
https://lookerstudio.google.com/reporting/a9815da8-0266-4c34-b2a3-c6aabb8e8376/page/p_42a4vutuuc
https://seas.umich.edu/news/big-tech-faces-scrutiny-24-universities-get-36mmajor- foundations-fuel-inclusive-public
https://youtu.be/BBGJEBSioSI
https://dx.doi.org/10.7302/7422
Abstract
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.
Industry (NAISC)
Public Interest Technology -- Data -- Algorithms
Occupation (SOC)
Computer and Mathematical Occupations -- Operations Research Analysts (15-2031)
Instructional Program (CIP)
Natural Resources and Conservation (03)
Credit Type
Credential Type
Bachelors Degree
Educational Level
2nd Year Community College or equivalent
Upper division of Bachelors degree or equivalent
Upper division of Bachelors degree or equivalent
Skill Level
Intermediate Level