RIWI’s Danielle Goldfarb spoke to attendees at the Toronto Machine Learning Summit (TMLS) Annual Conference about the importance of including the disengaged in data sets. Danielle explains that to reliably predict elections, correctly anticipate consumer demand or to accurately predict the trajectory of a pandemic, leaders need to ask themselves who is (and isn’t) included in their dataset.