SlideShare a Scribd company logo
1 of 18
Download to read offline
What risk factors can explain project
             outcome ?

             The data available :
          WB Project DB + IEG Ratings
           Kenneth M. Chomitz – WB IEG Senior Advisor
                    kchomitz@worldbank.org

          Alex H. Mckenzie – WB Senior Information Officer
                    amckenzie@worldbank.org

  Benjamin Renoust – University of Bordeaux LaBRI Ph.D. Candidate
                    benjamin.renoust@labri.fr
Motivation : what accounts for
      project success ?

About 75% to 80% of projects are rated
  moderately satisfactory or better.

Known variables only explain 12% of the
     variation between projects.
Motivation : what accounts for
          project success ?

  Let's use an inductive approach to discovering the
determinants of success: group similar projects together
    and look for successful vs unsuccessful groups

    A start : group projects by sectors and themes.
 Relevant data : projects / amounts / sectors / themes /
                    outcome ratings

          Let's put our hands in the data !
Creating the network


Project 1
                          Project 2   Visual encoding
             Common
              themes                  Size : amount
              Sectors                 Color : outcome rating
              (can be                 → satisfactory : blue
            contrained)
                                      → unsatisfactory : red
Results
~8000 projects / ~5M edges
Results
~8000 projects / ~700k edges
Results
Clusters of projects around themes/sectors
          → variety of outcomes
Closeup
Focus on one example
Closeup
Interest on a particular project
Closeup
Interest on a particular project
Closeup
Exploring its neighborhood
Understanding


What lays behind a set of similar projects ?


     Exploration to find the common
        factors between projects

               2 networks :
     Projects vs Themes and sectors
Understanding
Understanding
Understanding
Understanding
First iteration of the
     back and forth process :


- need of experts for in-depth analysis
- identify subgroups of projects with similar
outcomes
- extend the set of characteristics
- refine the measures of connectedness
  (people/social network,
   semantic analysis of objectives)
we've paved the way for exploratory
             research !
Tools :
 Tulip (c++/python) http://tulip.labri.fr
 TulipPosy (javascript/python/d3.js) – https://github.com/renoust/tulipposy
  → contributors are welcome !

Data :
 IEG Performance Rating :
    http://data.worldbank.org/data-catalog/IEG
 WB Project API :
    http://data.worldbank.org/data-catalog/projects-portfolio

People :
 Kenneth M. Chomitz – WB IEG Senior Advisor – kchomitz@worldbank.org
 Alex H. Mckenzie – WB Senior Information Officer – amckenzie@worldbank.org
 Benjamin Renoust – University of Bordeaux LaBRI Ph.D. Candidate –
  benjamin.renoust@labri.fr

More Related Content

Similar to Network analysis applied to project risks identification

Ariadne's Thread -- Exploring a world of networked information built from fre...
Ariadne's Thread -- Exploring a world of networked information built from fre...Ariadne's Thread -- Exploring a world of networked information built from fre...
Ariadne's Thread -- Exploring a world of networked information built from fre...Shenghui Wang
 
04 designing architectures
04 designing architectures04 designing architectures
04 designing architecturesMajong DevJfu
 
PFHub: Phase Field Community Hub
PFHub: Phase Field Community HubPFHub: Phase Field Community Hub
PFHub: Phase Field Community HubDaniel Wheeler
 
Case Study: Practical tools and strategies for tackling legacy practices and ...
Case Study: Practical tools and strategies for tackling legacy practices and ...Case Study: Practical tools and strategies for tackling legacy practices and ...
Case Study: Practical tools and strategies for tackling legacy practices and ...Alejandro S.
 
From a sea of projects to collaboration opportunities within seconds
From a sea of projects to collaboration opportunities within secondsFrom a sea of projects to collaboration opportunities within seconds
From a sea of projects to collaboration opportunities within secondsMichel Drescher
 
Stefan Geissler kairntech - SDC Nice Apr 2019
Stefan Geissler kairntech - SDC Nice Apr 2019 Stefan Geissler kairntech - SDC Nice Apr 2019
Stefan Geissler kairntech - SDC Nice Apr 2019 Stefan Geißler
 
Gephi icwsm-tutorial
Gephi icwsm-tutorialGephi icwsm-tutorial
Gephi icwsm-tutorialcsedays
 
[2015/2016] Mobile thinking
[2015/2016] Mobile thinking[2015/2016] Mobile thinking
[2015/2016] Mobile thinkingIvano Malavolta
 
Gsintechsd-11.20.17
Gsintechsd-11.20.17Gsintechsd-11.20.17
Gsintechsd-11.20.17Thinkful
 
Software Development in 21st Century
Software Development in 21st CenturySoftware Development in 21st Century
Software Development in 21st CenturyHenry Jacob
 
Software Project Estimation
Software Project EstimationSoftware Project Estimation
Software Project EstimationFrank Vogelezang
 
GEN-database presentation
GEN-database presentationGEN-database presentation
GEN-database presentationErnesto Sun
 
SP1: Exploratory Network Analysis with Gephi
SP1: Exploratory Network Analysis with GephiSP1: Exploratory Network Analysis with Gephi
SP1: Exploratory Network Analysis with GephiJohn Breslin
 
MongoDC - Ikanow April 2012 Meetup
MongoDC - Ikanow April 2012 MeetupMongoDC - Ikanow April 2012 Meetup
MongoDC - Ikanow April 2012 Meetupikanow
 
One does not simply crowdsource the Semantic Web: 10 years with people, URIs,...
One does not simply crowdsource the Semantic Web: 10 years with people, URIs,...One does not simply crowdsource the Semantic Web: 10 years with people, URIs,...
One does not simply crowdsource the Semantic Web: 10 years with people, URIs,...Elena Simperl
 
Believe it or not - keynote CAS 2015
Believe it or not - keynote CAS 2015Believe it or not - keynote CAS 2015
Believe it or not - keynote CAS 2015lantoli
 
Towards a sustainable solution to open source sustainability
Towards a sustainable solution to open source sustainabilityTowards a sustainable solution to open source sustainability
Towards a sustainable solution to open source sustainabilityTobie Langel
 
Project matching summary_04.02.11_final
Project matching summary_04.02.11_finalProject matching summary_04.02.11_final
Project matching summary_04.02.11_finalSuresh Fernando
 
Project matching summary_04.02.11_final
Project matching summary_04.02.11_finalProject matching summary_04.02.11_final
Project matching summary_04.02.11_finalSuresh Fernando
 

Similar to Network analysis applied to project risks identification (20)

Ariadne's Thread -- Exploring a world of networked information built from fre...
Ariadne's Thread -- Exploring a world of networked information built from fre...Ariadne's Thread -- Exploring a world of networked information built from fre...
Ariadne's Thread -- Exploring a world of networked information built from fre...
 
04 designing architectures
04 designing architectures04 designing architectures
04 designing architectures
 
PFHub: Phase Field Community Hub
PFHub: Phase Field Community HubPFHub: Phase Field Community Hub
PFHub: Phase Field Community Hub
 
Case Study: Practical tools and strategies for tackling legacy practices and ...
Case Study: Practical tools and strategies for tackling legacy practices and ...Case Study: Practical tools and strategies for tackling legacy practices and ...
Case Study: Practical tools and strategies for tackling legacy practices and ...
 
From a sea of projects to collaboration opportunities within seconds
From a sea of projects to collaboration opportunities within secondsFrom a sea of projects to collaboration opportunities within seconds
From a sea of projects to collaboration opportunities within seconds
 
Stefan Geissler kairntech - SDC Nice Apr 2019
Stefan Geissler kairntech - SDC Nice Apr 2019 Stefan Geissler kairntech - SDC Nice Apr 2019
Stefan Geissler kairntech - SDC Nice Apr 2019
 
Cs207 1
Cs207 1Cs207 1
Cs207 1
 
Gephi icwsm-tutorial
Gephi icwsm-tutorialGephi icwsm-tutorial
Gephi icwsm-tutorial
 
[2015/2016] Mobile thinking
[2015/2016] Mobile thinking[2015/2016] Mobile thinking
[2015/2016] Mobile thinking
 
Gsintechsd-11.20.17
Gsintechsd-11.20.17Gsintechsd-11.20.17
Gsintechsd-11.20.17
 
Software Development in 21st Century
Software Development in 21st CenturySoftware Development in 21st Century
Software Development in 21st Century
 
Software Project Estimation
Software Project EstimationSoftware Project Estimation
Software Project Estimation
 
GEN-database presentation
GEN-database presentationGEN-database presentation
GEN-database presentation
 
SP1: Exploratory Network Analysis with Gephi
SP1: Exploratory Network Analysis with GephiSP1: Exploratory Network Analysis with Gephi
SP1: Exploratory Network Analysis with Gephi
 
MongoDC - Ikanow April 2012 Meetup
MongoDC - Ikanow April 2012 MeetupMongoDC - Ikanow April 2012 Meetup
MongoDC - Ikanow April 2012 Meetup
 
One does not simply crowdsource the Semantic Web: 10 years with people, URIs,...
One does not simply crowdsource the Semantic Web: 10 years with people, URIs,...One does not simply crowdsource the Semantic Web: 10 years with people, URIs,...
One does not simply crowdsource the Semantic Web: 10 years with people, URIs,...
 
Believe it or not - keynote CAS 2015
Believe it or not - keynote CAS 2015Believe it or not - keynote CAS 2015
Believe it or not - keynote CAS 2015
 
Towards a sustainable solution to open source sustainability
Towards a sustainable solution to open source sustainabilityTowards a sustainable solution to open source sustainability
Towards a sustainable solution to open source sustainability
 
Project matching summary_04.02.11_final
Project matching summary_04.02.11_finalProject matching summary_04.02.11_final
Project matching summary_04.02.11_final
 
Project matching summary_04.02.11_final
Project matching summary_04.02.11_finalProject matching summary_04.02.11_final
Project matching summary_04.02.11_final
 

Recently uploaded

Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfAijun Zhang
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1DianaGray10
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXTarek Kalaji
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Commit University
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1DianaGray10
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopBachir Benyammi
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 
UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7DianaGray10
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 

Recently uploaded (20)

Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdf
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
201610817 - edge part1
201610817 - edge part1201610817 - edge part1
201610817 - edge part1
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
20230104 - machine vision
20230104 - machine vision20230104 - machine vision
20230104 - machine vision
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBX
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 Workshop
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 
UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 

Network analysis applied to project risks identification

  • 1. What risk factors can explain project outcome ? The data available : WB Project DB + IEG Ratings Kenneth M. Chomitz – WB IEG Senior Advisor kchomitz@worldbank.org Alex H. Mckenzie – WB Senior Information Officer amckenzie@worldbank.org Benjamin Renoust – University of Bordeaux LaBRI Ph.D. Candidate benjamin.renoust@labri.fr
  • 2. Motivation : what accounts for project success ? About 75% to 80% of projects are rated moderately satisfactory or better. Known variables only explain 12% of the variation between projects.
  • 3. Motivation : what accounts for project success ? Let's use an inductive approach to discovering the determinants of success: group similar projects together and look for successful vs unsuccessful groups A start : group projects by sectors and themes. Relevant data : projects / amounts / sectors / themes / outcome ratings Let's put our hands in the data !
  • 4. Creating the network Project 1 Project 2 Visual encoding Common themes Size : amount Sectors Color : outcome rating (can be → satisfactory : blue contrained) → unsatisfactory : red
  • 7. Results Clusters of projects around themes/sectors → variety of outcomes
  • 9. Closeup Interest on a particular project
  • 10. Closeup Interest on a particular project
  • 12. Understanding What lays behind a set of similar projects ? Exploration to find the common factors between projects 2 networks : Projects vs Themes and sectors
  • 17. First iteration of the back and forth process : - need of experts for in-depth analysis - identify subgroups of projects with similar outcomes - extend the set of characteristics - refine the measures of connectedness (people/social network, semantic analysis of objectives)
  • 18. we've paved the way for exploratory research ! Tools : Tulip (c++/python) http://tulip.labri.fr TulipPosy (javascript/python/d3.js) – https://github.com/renoust/tulipposy → contributors are welcome ! Data : IEG Performance Rating : http://data.worldbank.org/data-catalog/IEG WB Project API : http://data.worldbank.org/data-catalog/projects-portfolio People : Kenneth M. Chomitz – WB IEG Senior Advisor – kchomitz@worldbank.org Alex H. Mckenzie – WB Senior Information Officer – amckenzie@worldbank.org Benjamin Renoust – University of Bordeaux LaBRI Ph.D. Candidate – benjamin.renoust@labri.fr