Tool to capture or collect information in the form of stories or fragments in order to facilitate:

Information to emerge:- what people need?- what dynamics are at play?- what services are not yet delivered properly?- what would people like to see happening?- …Decision on:- Enforcing beneficial patterns- Dampening non-desirable patterns

1. Prompting question or imagetriggers a lived experience

2. Storyteller self-indexes storygives meaning, but can be done by others

Methodological Logic

Prompting question• A single question that triggers people to tell a story

Story capture• From whom? Incentives?• Technology?• Lots of stories (min.>100-200)

3. Software detect patternsvisual patterns among stories

4. Sense-making in dialoguepeople discuss patterns and story clusters

5. Act on patternsStimulate beneficial patterns; dampen undesirable ones

• Visualize patterns (Triads, Dyads, Multi-choice questions)

What does it mean for us? For the actors involved?

How does it inform us to act?

Create set of questions

Create an online form – make available software for users to enter the stories and make necessary analysis

Process:

Collect the stories – paper form and online collection (People tell stories about the topic and tag them against some questions) Analyze collected data (increased number of stories bring up the patterns, patterns and stories help identify issues, solutions and actions and create feedback loops, involving people in solutions and monitoring) Based on data analysis propose the next steps and agree on actions to be taken

Benefits:

- Easy to use - better understand the system being looked at and gain insights that allow the

development of appropriate interventions- can point to areas for further investigation and gaining deeper insight- ability to have patterns visualized, that every "dot" present is a real experience from a

real person- when an interesting pattern appears you can explore down into the source data and

derive context and meaning from the experiences displayed- enables discovery and enhances ability to see patterns

We learned:

- People like telling stores and want acknowledgement- SenseMaker® Visualizations is important for data presentation - Stories Help Organizations Learn- Communities and decision makers see things differently- Possibility to have unfiltered voices heard is beneficial for the organizations

New technologies and rapid feedback loops in environmental monitoring

1. Air Quality Egg- Experimental technology for measuring levels of NOx, CO in ambient air quality - Pilot is running from December 2012 – Data from sensors are online- Lessons learnt :

- data collected are not reliable , not in compliance with official reading - Calibration and re-registration of sensors, further piloting

- - engagement of citizens and institutions (CETI, HMI, University Pg)- International cooperation : Wicked Device, Citizen Sense, Smart

Citizen Kit- Air quality campaign for children in kindergarten – 350 children, 8

kindergarten in 6 municipalities

New technologies and rapid feedback loops

in environmental monitoring

2. Waste dumps – one of two more often complaints of tourist coming to Montenegro based on NTO reports in 2011 and 2012

• Piloting mobile application for locating of waste dumps and using online platform for reporting to utility companies – waste dump campaign March – April 2013

• App and platform, final version in July 2013• Reports received so far – 260 reports, 170 waste dump locations identified • Encouraging citizens to participate more active in environmental monitoring, opening

data to public and in decision making processes • Idea in development – establishing a national system for more efficient waste dump

management based on

http://www.undp.org.me/

United Nations Development ProgrammeMontenegro

Thank you.