Sandra Matz

So that could be your smartphone, for example, captures your GPS records pretty much continuously 24-7. And you're not intentionally sitting down to create a record of where you went and what you did there. But still, those traces exist.

Yeah, that was really, so the research by Youyou Wu, I would say was one of the pivotal studies in this field because it showed just how accurate the predictions that we can make about someone's psychology really are based on relatively little data. So she was studying the Facebook pages that people follow. So let's say CNN has a Facebook page, you can like it.

Yeah, that was really, so the research by Youyou Wu, I would say was one of the pivotal studies in this field because it showed just how accurate the predictions that we can make about someone's psychology really are based on relatively little data. So she was studying the Facebook pages that people follow. So let's say CNN has a Facebook page, you can like it.

Yeah, that was really, so the research by Youyou Wu, I would say was one of the pivotal studies in this field because it showed just how accurate the predictions that we can make about someone's psychology really are based on relatively little data. So she was studying the Facebook pages that people follow. So let's say CNN has a Facebook page, you can like it.

And what she showed is that just by looking at your Facebook pages, an algorithm can actually predict your personality more accurately. than our co-workers could, than our friends could, than our family members could. And mind you, those are people who know you pretty well, right? Those are your parents, those are your siblings, those are your kids.

And what she showed is that just by looking at your Facebook pages, an algorithm can actually predict your personality more accurately. than our co-workers could, than our friends could, than our family members could. And mind you, those are people who know you pretty well, right? Those are your parents, those are your siblings, those are your kids.

And what she showed is that just by looking at your Facebook pages, an algorithm can actually predict your personality more accurately. than our co-workers could, than our friends could, than our family members could. And mind you, those are people who know you pretty well, right? Those are your parents, those are your siblings, those are your kids.

They've spent a substantial amount of time with you. And it was slightly inferior to the judgments and the predictions of your significant other. Now, this was a study that was done in 2015. It was only based on Facebook likes. So you could imagine that if we get access to

They've spent a substantial amount of time with you. And it was slightly inferior to the judgments and the predictions of your significant other. Now, this was a study that was done in 2015. It was only based on Facebook likes. So you could imagine that if we get access to

They've spent a substantial amount of time with you. And it was slightly inferior to the judgments and the predictions of your significant other. Now, this was a study that was done in 2015. It was only based on Facebook likes. So you could imagine that if we get access to

all of your digital traces and apply slightly more sophisticated machine learning that we could probably outperform even your significant other.

all of your digital traces and apply slightly more sophisticated machine learning that we could probably outperform even your significant other.

all of your digital traces and apply slightly more sophisticated machine learning that we could probably outperform even your significant other.

Yeah. And I think what is astonishing to me, and I think a point that is important, those models aren't perfect, right? So I think any prediction always has a certain amount of error. And what we're talking about are averages. So on averages, these models are really accurate, as you just said, with a comparison. However, we still make mistakes at the individual level.

Yeah. And I think what is astonishing to me, and I think a point that is important, those models aren't perfect, right? So I think any prediction always has a certain amount of error. And what we're talking about are averages. So on averages, these models are really accurate, as you just said, with a comparison. However, we still make mistakes at the individual level.

Yeah. And I think what is astonishing to me, and I think a point that is important, those models aren't perfect, right? So I think any prediction always has a certain amount of error. And what we're talking about are averages. So on averages, these models are really accurate, as you just said, with a comparison. However, we still make mistakes at the individual level.

So one of the things when we kind of make these comparisons and predictions that I want to highlight is that don't take it as a truth, right? It's a prediction. It's a probability. It's pretty damn accurate on average, but we're still going to make mistakes at the individual level.

So one of the things when we kind of make these comparisons and predictions that I want to highlight is that don't take it as a truth, right? It's a prediction. It's a probability. It's pretty damn accurate on average, but we're still going to make mistakes at the individual level.

So one of the things when we kind of make these comparisons and predictions that I want to highlight is that don't take it as a truth, right? It's a prediction. It's a probability. It's pretty damn accurate on average, but we're still going to make mistakes at the individual level.

Yeah, I think of it as like this puzzle that we're putting together of a person. So you get a piece here that's their social media and then you get another piece that's their credit card spending and another piece that's their smartphone sensing data. And gradually you kind of see this person behind the data emerge. And what I think is fascinating about this combining data sources is essentially