On June 13, 2017, in Ottawa, MIT Professor Daron Acemoglu, author of Why Nations Fail, gave the annual David Dodge Lecture on the subject of Robotics, Artificial Intelligence and the Future of Work. In his talk, Prof. Acemoglu made an important distinction between enabling technologies whose effects generate productivity gains and new jobs,
Karim Harji, Director of Research and Senior Associate at E.T. Jackson and Associates, facilitated a workshop on social impact measurement at the American Evaluation Association Summer Institute in Atlanta.
In the final blog in the AEA series on feminist evaluation, Donna Mertens and Julie Newton highlight innovative strategies for measuring the empowerment of women and girls, and the use of mixed methods for social justice.
The Global University Network for Innovation (GUNI), in association with Unesco and other partners, has published a major report entitled Towards s Socially Responsible University: Balancing the Global and the Local. International champions of engaged higher education, Budd Hall and Rajesh Tandon, served as co-editors of report.
The World Bank raised $173 million from the capital markets for the first United Nations Sustainable Development Bond. The bond is linked to an index of 50 companies.
In their AEA365 blog, Franesca D’Emidio and her colleagues report on their experiences in training women to analyze power shifts using participatory tools.
In their AEA365 blog, Peiyao Chen, Kelly Gannon and Lucy McDonald-Steward discuss an online assessment tool they have used with women’s rights movements.
On International Women’s Day, Oxfam’s Francesca Rhodes argues that decent work and fair wages, valuing unpaid work, and a louder voice for women in decision-making are long overdue.
In the latest in the AEA’s blog series on feminist evaluation, Julie Poncelet and Cathering Borgman-Arboleda report on their use of empathy maps and learning review guides in participatory action learning initiatives, with the aim of redistributing the power of knowledge production to women and girls themselves.
In one of a series of AEA blogs on feminist evaluation, Heather Krause writes: “Data points aren’t statistics in themselves, they’re statistics when you can apply meaning.”