Innovation in Evaluation: Big Data, Blockchain, and Human-Centred Design
July 25 – July 27 2018
Venue: ReWork Event Space (FX Sudirman Mall, 7th floor. ( Jl. Pintu Senayan), JAKARTA (Central/Pusat)
25th July – Wednesday
Day 1: Concepts, Opportunities and Challenges:
Integrating Big Data and Disruptive Technology into The Evaluation of Development Programs
Day |
Themes |
Duration |
Presenter(s) |
| 08:00 – 08:45 | Registration | 45 minutes | |
| 09:00 – 09:30 | Opening Session | 30 minutes | |
| 09:00 – 09:15 | Introductory note from The Development CAFE | 15 minutes | Valentine Gandhi |
| 09:15 – 09:30 | Introductory note from Pulse Lab Jakarta | 15 minutes | Diastika Rahwidiati |
| Session 1 | The data revolution and the implications for international development | 45 minutes | Michael Bamberger (Development and Evaluation Consultant) |
| 09:30 – 10:15 | Defining Big Data: Big data, Data Analytics, Data Science, New Information Technology [Big Data + ICT + Internet of Things] | ||
| Increasing Use of Big Data in Our Personal and Public Life | |||
| The Data Continuum | |||
| Example of The Use of Big Data in International Development | |||
| Session 2 | Case Studies Illustrating Potential Applications of Big Data in Development Evaluation | 45 minutes | Michael Bamberger (Development and Evaluation Consultant) |
| 10:15 – 10.30 | The Use of Satellite Images: Evaluation of the Impact of Forest Protection Programs | ||
| 10:30 – 11:00 | Coffee Break | 30 minutes | |
| 11:00 – 11.30 | Case Studies Illustrating Potential Applications of Big Data in Development Evaluation (continued) | Michael Bamberger (Development and Evaluation Consultant) | |
| Social Media Analysis | |||
| The Creation of Integrated Data Platforms [Combatting Modern Slavery in the Philippines] | |||
| Session 3 | Questions and Discussion | 45 minutes | Michael Bamberger (Development and Evaluation Consultant) |
| 11:30 – 12:00 | Questions & Answers, Participant share their experience | ||
| 12:00 – 13:00 | Lunch | 60 minutes | |
| 13:00 – 13:15 | Questions and Discussion (continued) | Michael Bamberger (Development and Evaluation Consultant) | |
| Session 4 | The promise of big data for monitoring and evaluation – and the challenges | 45 minutes | Michael Bamberger (Development and Evaluation Consultant) |
| 13:15 – 14:00 | The Challenges Facing Development Evaluation: Design Challenges, Data Collection Challenges, Data Analysis Challenges, Dissemination and Use. | ||
| How Big Data Can Address these Evaluation Challenges and Strengthen Evaluation | |||
| Session 5 | Managing Big Data Inclusive Evaluations and Understanding the Big Data Ecosystem | 45 minutes | Michael Bamberger (Development and Evaluation Consultant) |
| 14:00 – 14:45 | Understanding the Big Data Ecosystem | ||
| Why Evaluators Have Been Slow to Incorporate Big Data into Their Evaluators | |||
| Building Bridges Between Evaluators and Big Data Scientists | |||
| Session 6 | Discussion | 45 minutes | Michael Bamberger (Development and Evaluation Consultant) |
| 14:45 – 15:00 | Challenges and Opportunities for Integrating Big Data and Evaluation | ||
| 15:00 – 15:30 | Coffee Break | 30 minutes | |
| 15:30 – 16:00 | Discussion (continued) | ||
| Session 7 16:00 – 17:00 |
Case Study – Big Data in Agriculture | 60 minutes | Satish Nagaraj (ICRISAT) |
26th July – Thursday
Day 2: Choosing the right Technologies and Analytical Methods:
Theories of Change & The Development of Prediction Models
Day |
Themes |
Duration |
Presenter(s) |
| Session 1 | Designing Evaluable Theories Of Change | 90 minutes | Rick Davies (Monitoring and Evaluation Consultant) |
| Introduction to ToC and Evaluability | |||
| Diagnosis: 6 Common Problems | |||
| Treatment: 6 Solutions | |||
| Three Areas for Further Innovation | |||
| 10:30 – 11:00 | Coffee break | 30 minutes | |
| Session 2 | Predictive Modelling with Small Data | 210 minutes | Rick Davies (Monitoring and Evaluation Consultant) |
| 11:00 – 11:15 | Introduction to Predictive Modeling | ||
| 11:15 – 11:30 | Quick Walk Through EvalC3 Workflow | ||
| 11:30 – 12:00 | Step by Step Explanation in Detail | ||
| 12:00 – 13:00 | Lunch | 60 minutes | |
| 13:00 – 13:30 | Step by Step Explanation in Detail (continued) | ||
| 13:30 – 14:00 | Example Data Sets with Analysis | ||
| 14:00 – 15:00 | Participants Plan Their Own Predictive Modeling Exercise | ||
| 15:00 – 15:30 | Coffee break | 30 minutes | |
| 15:30 – 16:00 | Review | ||
| Session 3 | Case Study – Blockchain for International Development | 60 minutes | Valentine Gandhi (Development CAFÉ) |
| 16:00 – 17:00 |
27th July – Friday
Day 3: Applying in your projects:
Data Innovation Clinic: Integrating New Data Sources into Monitoring and Evaluating Development Initiatives
Day |
Themes |
Duration |
Presenter(s) |
| Session 1
09:00 – 10:00 |
Jakarta Smart City Project Case Study | 60 minutes | Setiaji (Jakarta Smart City) |
| Session 2 | Harnessing Non-Conventional Data Sources for Development (IA) | 30 minutes | Imaduddin Amin (Pulse Lab Jakarta) |
| 10:00 – 10:30 | Case Study 1: Social media data for commuting statistics | ||
| Session 3 | Exploring the Problem | 60 minutes | Diastika Rahwidiati (Pulse Lab Jakarta) |
| 11:00 – 12:00 | Problem Definition | ||
| 12:00 – 13:00 | Lunch | 90 minutes | |
| Session 4 | Mapping the Data Journey | 60 minutes | Maesy Angelina (Pulse Lab Jakarta) |
| 13:00 – 14:00 | What Kind of Data is being Generated, and by Whom? | ||
| Session 5 | Developing a Data Innovation Concept | 60 minutes | Pulse Lab Jakarta team |
| 14:00 – 15:00 | Recap of Problem Definition and Data Gaps | ||
| Refining Research Questions | |||
| 15:00 – 15:30 | Coffee break | 3o minutes | |
| Session 6 | Developing a Data Innovation Concept (continued) | 75 minutes | Pulse Lab Jakarta team |
| 15:30 – 16:45 | Refining Research Questions | ||
| Refining Hypotheses | |||
| 16:45 – 17:00 | Closing | 15 minutes |
