Expert Q&A

The emerging “data winter” signifies an alarming trend where access to vital data for research, policy-making, and innovation faces severe constraints, reminiscent of the AI winters that historically slowed progress in artificial intelligence. To counteract this, Social Impact Organizations (SIOs) and other stakeholders must proactively ensure data’s availability and utility…

It’s essential we shift the conversation from too much hype or fear to actually working through the operationalization of people-centered approaches to data and AI, including the design principles of deep learning and strategies for managing rapid change in an ever-changing technological landscape. We must also find a way to balance…

In my experience, the most important way to balance the desire to innovate with being responsible is to have a safe space in which to experiment. Organizations are often interested in potentially using new technologies but are afraid of causing harm or distracting their staff in the process.  The good…

Most SIOs face the same challenge plaguing the larger data ecosystem: they’ve managed to amass a lot of data but cannot extract valuable insights from it in a timely manner to drive their decision-making. Navigating this challenge requires a shift in strategy from mere data collection to prioritizing engagement with…

Gender and climate data is essential for understanding how climate risks and vulnerabilities affect women and LGBTIQ+ people differently. To monitor SDG 5, 52 percent of the data needed is missing. How can we measure true progress without the numbers? Exploring this landscape and providing potential strategies for improving data…

I would suggest that teams make sure they are collecting data that is going to help them solve an important strategic question.  There is no shortage of interesting questions to ask.  With limited resources, we must use our data, time, and energy that will provide us the ability to better…