Viral respiratory illnesses can be particularly challenging for people with asthma. A cold or flu can lead to acute respiratory complications or even death in asthmatics. Elder Research developed a predictive algorithm to define asthma, and identify asthma sufferers who are ill and at risk for major respiratory complications, allowing for intervention prior to onset of acute asthma symptoms, thereby potentiallypreventing hospital stays and even loss of life....

Viral respiratory illnesses can be particularly challenging for people with asthma. A cold or flu can lead to acute respiratory complications or even death in asthmatics. Elder Research developed a predictive algorithm to define asthma, and identify asthma sufferers who are ill and at risk for major respiratory complications, allowing for intervention prior to onset of acute asthma symptoms, thereby potentially
preventing hospital stays and even loss of life.

Algorithmic bias is a popular topic; see for example this article describing how Microsoft is working on a dashboard product to detect unfair bias in algorithms. When a typical person (not a statistician) uses the term "bias" they usually have in mind unfair prejudgment, or stacking of the deck, against a person based on some aspect of that person's identity (race, gender, ethnic background, religion, nationality, etc.). Until recently, "bias" meant something very different to...

Algorithmic bias is a popular topic; see for example this article describing how Microsoft is working on a dashboard product to detect unfair bias in algorithms. When a typical person (not a statistician) uses the term "bias" they usually have in mind unfair prejudgment, or stacking of the deck, against a person based on some aspect of that person's identity (race, gender, ethnic background, religion, nationality, etc.). Until recently, "bias" meant something very different to statisticians.

Since its founding more than twenty years ago Elder Research has been involved in hundreds of data mining projects. Most of those projects employ numerical data, but for about a decade now we have been called on increasingly to extract information from unstructured or semi-structured text.  Though Gartner recently classified Text Analytics as just exiting the “Trough of Disillusionment” on their famous “Hype Cycle”,[1] we have found that every text mining project we have worked...

Since its founding more than twenty years ago Elder Research has been involved in hundreds of data mining projects. Most of those projects employ numerical data, but for about a decade now we have been called on increasingly to extract information from unstructured or semi-structured text.  Though Gartner recently classified Text Analytics as just exiting the “Trough of Disillusionment” on their famous “Hype Cycle”,[1] we have found that every text mining project we have worked on has been a success.

Data can appear lifeless and dull on the surface—especially government data—but the thought of it should actually get you excited. Data is the very most interesting and powerful thing. First off, data is exactly the stuff we bother to write down—and for good reason. But its potential far transcends functions like tracking and bookkeeping: Data encodes great quantities of experience, and computers can learn from that experience to make everything work better....

Data can appear lifeless and dull on the surface—especially government data—but the thought of it should actually get you excited. Data is the very most interesting and powerful thing. First off, data is exactly the stuff we bother to write down—and for good reason. But its potential far transcends functions like tracking and bookkeeping: Data encodes great quantities of experience, and computers can learn from that experience to make everything work better.

According to Women in Tech: The Facts, a report by the National Center for Women & Information Technology (NCWIT), “In 2015, women held 57% of all professional occupations, yet they held only 25% of all computing occupations.”  The NCWIT report authors believe that this pattern is “especially troubling given ample evidence of the critical benefits diversity brings to innovation, problem-solving, and creativity. Indeed, a solid body of research in computing and in...

According to Women in Tech: The Facts, a report by the National Center for Women & Information Technology (NCWIT), “In 2015, women held 57% of all professional occupations, yet they held only 25% of all computing occupations.”  The NCWIT report authors believe that this pattern is “especially troubling given ample evidence of the critical benefits diversity brings to innovation, problem-solving, and creativity. Indeed, a solid body of research in computing and in other fields documents the enhanced performance outcomes and benefits brought about by diverse work teams.”

The only conference of its kind, Predictive Analytics World for Government advances the deployment of analytics within federal, state and local government -- to drive smarter decisions, automate manual processes, and reduce fraud, waste, and abuse -- by extracting actionable insights from vast quantities of data. Are you interested in sharing your case studies, lessons learned, or best practices for using analytics to further your mission? ...

The only conference of its kind, Predictive Analytics World for Government advances the deployment of analytics within federal, state and local government -- to drive smarter decisions, automate manual processes, and reduce fraud, waste, and abuse -- by extracting actionable insights from vast quantities of data. Are you interested in sharing your case studies, lessons learned, or best practices for using analytics to further your mission?