Data Science

The US Government is looking into banning TikTok. Will it happen? Shelly Palmer talks with with Kerry Drew and Bianca Peters about social media addiction, data privacy and how the Chinese government is involved on Fox 5's Good Day New York. Original airdate: July 14, 2020 Continue Reading →

As a follow on to this week’s “I believe in science” theme, I will ask you to do three things today. I need you to watch a short video that explains Exponential growth and epidemics, another entitled, Simulating an epidemic, and then read an advance release copy of a CDC research paper entitled, “High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2.” It will officially be published in Volume 26, Number 7—July 2020. Continue Reading →

Good luck finding name-brand hand sanitizer in a store or online. The good news: you can easily make it at home. Here’s a low-tech hack. Continue Reading →

After speaking to numerous infectious disease experts over the past few days, I'm starting to wonder: is our reaction to COVID-19 the exact reaction an adversary in an information war would hope for? Said differently: is the COVID-19 story the Information Age Pearl Harbor we've been expecting? Continue Reading →

Facebook has cancelled F8 and is banning ads that mention coronavirus if they attempt to "create a sense of urgency" around the virus or promise to cure it. Continue Reading →

There have been calls to break up big tech. People are scared that without regulation, we are destined to live in a “surveillance state.” But people are also scared of coronavirus (COVID-19). Is this the moment that big tech proves that big data can be used for the greater good? What is big tech’s role in the fight against coronavirus? What should it be? Continue Reading →

The Attorney General of the United States announced that the government had confirmed that the Equifax hack was the work of the Chinese military. As we enter the age of AI-assisted warfare, it’s important to unpack some of the underlying issues. Continue Reading →

Everyone wants to work for your company. You receive hundreds of resumes every day. There are simply too many for humans to read. So, like many companies, you use a service that ingests the resumes and uses AI to score potential candidates against job descriptions. From your perspective it is the perfect use case. It’s fast. It’s efficient. And the candidates who make it through the system are pretty high level. This sounds awesome – but what happens to the candidates who don’t make it through the system? Continue Reading →

If data-driven storytelling were only about data, then every original show on Netflix or Prime Video should be a smash hit. But Netflix, Prime Video, and every other original production done by the “data rich” tech organizations have about the same production-to-hit ratio as professionally programmed old-fashioned, “data poor” networks. How can this be? Shouldn’t the data-driven programmers be better at predicting what stories will best fit an audience? What actor or actress will resonate? What music will work better? What story arc? Or at least knowing what an audience might be more likely to want? Continue Reading →

Weather forecasting is tough. Very tough. It requires immense amounts of data and it is computationally intensive. But Google has published a paper that suggests that AI can use simple radar data to "nowcast" the weather with remarkable short-term accuracy. Continue Reading →