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Data to design institutions for sustainable rural water services in Kenya and Bangladesh Rob Hope & colleagues, Oxford University UNC Water & Health Conference 2018 – RWSN Side Event Tuesday 30th October Sunflower Room
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Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Sep 14, 2020

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Page 1: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Data to design institutions for sustainable rural water services in Kenya and BangladeshRob Hope & colleagues, Oxford University

UNC Water & Health Conference 2018 – RWSN

Side EventTuesday 30th October

Sunflower Room

Page 2: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster
Page 3: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

(Clifton, 2009)

(Greeff, 2014)

Page 4: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Thomson et al., 2012; 2018

Observed handpump usage and rainfall in Kenya

Page 5: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Thomson et al., 2018

Handpump behaviour to heavy rainfall- implications for managing climate variability

Page 6: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Water Diary data from coastal Bangladesh

Hoque & Hope, 2017; in prep

Page 7: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

The monitoring system aims to balance: (i) processing data on the embedded system with on-board algorithms;(ii) transmission of “intelligent” data-summaries to a cloud, and (iii) processing of those summaries at cloud-based system.

Handpump Health Monitoring

Page 8: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

What happens on the handpump?

Data Collection Pre-processing Feature Extraction Classify

Rawdata

Usabledata

Useful info

NormalVs.

Abnormal

Page 9: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Can a handpump tell it’s unwell?

?

Greeff et al., 2018

Page 10: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

What happens in the cloud?

• Data is transmitted only once the handpump suspects its condition is deteriorating (to “amber” or “red”)

• Reduces cost of data-transmission and preserves battery• Cloud system can apply more powerful machine learning methods

to decide about the actual handpump condition

Greeff et al., 2018

Page 11: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Data - 229 years of financial records from 100 handpumpswith >50,000 payment records

Predictors of payment:• Distance to waterpoint• Water quality (pH, taste)• Productive use• Seasonality

Foster & Hope, 2016, 2017; Foster et al., 2018

Translating data into information for institutional design

- multi-decadal analysis of user payment behaviours in coastal Kenya

Page 12: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

FundiFix – Local entrepreneurs powered by smart data

Page 13: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

User payments contingent on service delivery

Page 14: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Finance contingent on performance-based data

Page 15: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster
Page 16: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Universal and sustainable

rural water services:

Different perspectives.

Common Goals

UNC Water & Health Conference 2018 – RWSN Side Event

Tuesday 30th October 08:30 – 12:00

Sunflower Room

Page 17: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster
Page 18: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster
Page 19: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster
Page 20: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster
Page 21: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster
Page 22: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster
Page 23: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Why this session?

Improvements in ICT have unlocked data that offers new opportunities to improve rural water service delivery

These also bring about risks of duplication of efforts, credibility of data and comparability of results

RWSN and its members have been promoting national monitoring systems (National) governments as duty bearers are responsible for monitoring services and

providing accountability

Centralised efforts for a common systems

One of the SWA collaborative behaviour principles

Recognition that to be valuable, data has to be transformed into information and used, but there are many different perspectives on uses

To what extent can the needs for the different uses of data be reconciled in national monitoring systems?

To what extent is there need for a universal set of indicators, similar to the international benchmarking system for utilities (IB-NET)?

How can we encourage a common system with standard indicators, whilst being open and flexible to new insights?

Page 24: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

What? The programeTitle Time

Introduction- Introduction to session objectives, partners

- Bangladesh Case: ‘Operation & Maintenance Fund’ for Water infrastructures Nurul Osman

(HYSAWA)

08:30 – 08:50

Perspective 1: iNGO and civil society- Social Accountability – Sara Ahrari (Simavi)

- Group Exercise 1

08:50 – 09:25

Perspective 2: Donors & development partners- Updates on the Global Rural Water Metrics – Miguel Vargas-Ramirez (World Bank)

- XXX – Ellen Greggio (WaterAid)

- Group Exercise 2

09:25 – 10:00

Coffee Break 10:00 – 10:30

Recap 10:30 – 10:35

Researchers & Innovators-Systems thinking: What is it, how do we do it, benefits, and challenges, Elisabeth Liddle (Cambridge

University)

- Data to design institutions for sustainable rural water services in Kenya and Bangladesh, Rob Hope

(Oxford University)

10:35 – 11:05

Design Session- Group Exercise 3

11:05 – 11:45

Reflection & Conclusion 11:45 – 12:00

Page 25: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Who is who? • Chair: Stef Smits, Senior Programme Officer, IRC

• Presenters

– Nurul Osman, Managing Director, HYSAWA, Bangladesh

– Sara Ahrari, Programme Manager, Simavi, RWSN Topic Leader (Social

Accountability)

– Miguel Vargas-Ramirez, Focal Point for Rural Water Supply, World Bank Water

Global Practice

– Ellen Greggio, Water & Sanitation Specialist, WaterAid / RWSN Theme Leader

(Mapping & Monitoring)

– Lissie Liddle, a PhD student at Cambridge University and part of the UPGro

(Unlocking the Potential of Groundwater for the Poor) Hidden Crisis project.

– Prof. Rob Hope, Professor of Water Policy at Oxford University and lead of the

UPGro Gro for GooD project and REACH improving water security for the poor

programme.

• Facilitators, rapporteurs and other RWSN theme leaders: Sean Furey, Sandra Fürst and

Matthias Saladin (Skat Foundation), Miguel Vargas-Ramirez and Susanna Smets

(World Bank), Marieke Adank (IRC), Priya Nath (WaterAid), Andrew Armstrong (Water

Mission)

Page 26: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Perspective 1: NGOs and civil

society

Group Discussions: Case Study Question: For HYSAWA, where

does accountability lie in practice – with them,

or the government?

Wider question: what is the role of NGOs and

civil society in using and supporting national

monitoring systems and holding duty bearers

accountable?

Page 27: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Perspective 2: Development

partners

Group Discussion

Case Study: Would HYSAWA benefit from using harmonised indicators and benchmarking, or should they only collect data that directly informs operational decision-making?

Wider question: How can development partners support governments to develop national monitoring systems ?

Page 28: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Design Session

Group Exercise 3: Case Study: With the ideas and information

brought out in the session, formulate some recommendations on the process and content of HYSAWA’s information systems?

Wider: From the presentations, discussion and case study: what general recommendations can be made about how different actors, from their different needs and possibilities, can support national monitoring systems for rural water supply?

Page 29: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Where do we travel from here?

An RWSN publication on transforming data into information that is constructively useful to different actors who are working towards the common goal of SDG6.1

Agreement on international rural water supply benchmarking

Follow-up RWSN activities related to: Social accountability and Leave No-one Behind

Mapping and monitoring innovation and benchmarking

Research-into-Use

Page 30: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Social AccountabilitySara Ahrari, Simavi Programme Manager

Page 31: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Why ?The Social Accountability Model

(presented by Water Witness International)

Figure 1. Processes at play in delivery of social accountability aims (after Robinson 2016)

Page 32: Data to design institutions for RWSN · 2/11/2018  · • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Foster & Hope, 2016, 2017; Foster

Aspects of accountability Responsiveness:• Effective Participation and engagement

between rights holders and duty bearers

Answerability• Access to information and participation• Complaint mechanisms

Enforceability • Access to justice • Who has power to enforce?