Abstract: Why are we obsessed with impact evaluation (IE)? To address this question Elliot Stern will discuss contemporary thinking on IE, and how IE has evolved in recent years. He will also explore what IE could offer to the sustainable development goals ‘agenda’, as an example of the challenges evaluating any complex, unpredictable and interconnected system. In the last decade the evaluation debate has been dominated by the big what works question which addresses impact and effectiveness criteria. Are these the only purposes of evaluation? Surely IE also has to address key evaluation concepts/purposes like stakeholders’ engagement, relevance and importance of evaluation criteria. Should we take a step back and ask ourselves whose values we use to determine what works? Or should we ask how policy making would have to change if we are ever to move beyond the way IE is currently understood.
Bio: Elliot Stern is Emeritus Professor of Evaluation Research at Lancaster University, Editor of the journal Evaluation and past President of both the UK and European Evaluation Societies. In 2012 he led the team commissioned by DFID on the need for ‘a broader range of impact evaluation designs and methods’, ideas taken further in 2015 in a report on IE for commissioners and managers of evaluation published by BOND.
Registration is from 3.30pm. The main session starts at 4pm. Refreshments will be available. The event is £30 for UKES members (Fee £25, VAT £5 ) and £60 for non-members ( Fee £50.00 VAT £10,00( Fee payable by cheque to the UK Evaluation Society (or cash) at the door. To become a UKES member please click: http://www.evaluation.org.uk/about-us/membership In order to attend, please complete the registration form attached.
Registration: for the registration form please contact Annabelle Raza at:email@example.com and put in cc Madeleine Thornton Madeleine.Thornton@bigissueinvest.com
Provider - International Institute for Environment and Development (IIED)
Format - Face to Face
Cost - £30
Duration - 1 day
Focus areas - Data Analysis
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