Learning from Evaluation

ADB conducts evaluation work to ensure accountability, promote learning, and maximize development effectiveness. This presentation examines how ADB can better integrate artificial intelligence in its operations. It also explores Watson, a technology that can help ADB ingest thousands of documents and unstructured data, e.g., ADB project completion reports.

2016 Development Effectiveness Review: Is ADB Really Set Up to Deliver Results?

ADB’s Bernard Woods examines if ADB was really set up to deliver results by looking at its progress toward the interim targets of the institution's Strategy 2020, and its midterm performance review using the Development Effectiveness Review 2016 results.

This video covers the full session of Insight Thursday, ADB’s in-house knowledge sharing series.

2016 Development Effectiveness Review: Is ADB Really Set Up to Deliver Results?

ADB’s Bernard Woods discussed the Development Effectiveness Review 2016 and how ADB reviews its performance against its own indicators and targets, takes stock of its achievements, and identifies areas to strengthen its approach. The Development Effectiveness Review 2016 is the culminating report that reflects on the last four years of achievements under ADB's current results framework, and progress towards the interim targets of Strategy 2020 and its Midterm Review.

This event is part of ADB's in-house Insight Thursday lecture series.​

Video - Conference Summary - Sub-Regional Conference - Going Beyond the Meter: Inclusive Energy Solutions in South Asia

This video provides a summary of the two-day conference. It explains that in addition to the conference goals of sharing and learning, the discussion reflected the participants’ actual work on the ground based on the Asian Development Bank’s portfolio. The event served as a jumping point from where to start the assessment process of the experiences shared, and to think about ways in moving forward.

Communities of Practice 101

Communities of Practice (CoPs) gather people who share a common passion for something they do and who interact regularly to learn how to do it better. They are peer-to-peer collaborative networks driven by the willingness of their members to share work-related knowledge, further develop expertise, and solve problems in a specific domain.