The lasting effects of stop-and-frisk in Bloomberg’s New York The New York Times The lasting effects of stop-and-frisk in Bloomberg’s New York John MacDonald of the School of Arts and Sciences discussed the unproductive majority of street stops made by police under stop-and-frisk. “Who’s being affected by that?” he asked. “It’s going to be people who, for example, may be likely voters, who are trying to go to school, who are afraid because they normally wouldn’t have interactions with police that are intrusive. That’s not your average offender. That’s your average citizen.” Democratic debate: Mike Bloomberg's record on crime in New York fact-checked BBC Democratic debate: Mike Bloomberg's record on crime in New York fact-checked Research by John MacDonald of the School of Arts and Science was cited in an article fact-checking the most recent Democratic debate. The study found that stop and frisk “made almost no difference” to New York City’s crime rates. Bloomberg stop and frisk comments resurface, said he put ‘all the cops’ in minority neighborhoods ‘where all the crime is’ Newsweek Bloomberg stop and frisk comments resurface, said he put ‘all the cops’ in minority neighborhoods ‘where all the crime is’ John MacDonald of the School of Arts and Sciences was cited for his analysis of the reduction in New York City crime rates, which has been attributed to stop and frisk policies. “Saturating high crime neighborhoods with extra police helped reduce crime in New York, but the bulk of investigative stops did not play a meaningful role in the crime reduction,” he wrote. An algorithm that grants freedom, or takes it away The New York Times An algorithm that grants freedom, or takes it away An algorithm created for the Philadelphia Adult Probation and Parole Department by Richard Berk of the School of Arts and Sciences tries to improve on human judgement by excluding data that could be a proxy for race. “All machine-learning algorithms are black boxes, but the human brain is also a black box,” he said. Trump wants law and order front and center The New York Times Trump wants law and order front and center Research by Aurélie Ouss of the School of Arts and Sciences on the consequences of Philadelphia’s “no cash bail” policies was cited. Using science to make cities safer and healthier Penn Medicine’s Eugenia South, seen here with John MacDonald of the Department of Criminology, studies the effect of chronic stress and neighborhood environment on health outcomes. South’s latest pilot, Nurtured in Nature, follows work from the pair showing that cleaning up vacant lots leads to a signifiant decrease in gun violence and less stress for local residents. (Pre-pandemic photo) Q&A Using science to make cities safer and healthier In a Q&A, criminologist John MacDonald discusses his new book, grounded in years of research on the positive effects of remediation like fixing up abandoned lots and houses. Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated The Washington Post Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated Aurélie Ouss of the School of Arts and Sciences praised a study that proved that algorithms are imperfect tools when it comes to predicting crime. She said that, ultimately, the usefulness of algorithms in criminal justice comes down to implementation: “It may be a case that a different tool that’s designed differently—that judges use differently—would yield different results.” Childhood exposure to trauma costs society $458 billion annually Childhood exposure to trauma costs society $458 billion annually Bureaucratic hurdles block access to treatment services, so they tend to go unused. This leads to adverse outcomes that put stress on public systems like social services and law enforcement. These prosecutors won office vowing to fight the system. Now, the system is fighting back The Washington Post These prosecutors won office vowing to fight the system. Now, the system is fighting back Richard Berk of the School of Arts and Sciences said it’s too early to know how the policies of progressive prosecutors like Larry Krasner in Philadelphia will affect crime rates. “There’s a natural variation in things like homicide, natural in the sense that we don’t know what causes it,” Berk said. “And we basically try to treat it as noise and don’t try to tell a story until we have that nailed down.” Removing human bias from predictive modeling Removing human bias from predictive modeling Predictive modeling is supposed to be neutral, a way to help remove personal prejudices from decision-making. But the algorithms are packed with the same biases that are built into the real-world data used to create them. Load More
Democratic debate: Mike Bloomberg's record on crime in New York fact-checked BBC Democratic debate: Mike Bloomberg's record on crime in New York fact-checked Research by John MacDonald of the School of Arts and Science was cited in an article fact-checking the most recent Democratic debate. The study found that stop and frisk “made almost no difference” to New York City’s crime rates. Bloomberg stop and frisk comments resurface, said he put ‘all the cops’ in minority neighborhoods ‘where all the crime is’ Newsweek Bloomberg stop and frisk comments resurface, said he put ‘all the cops’ in minority neighborhoods ‘where all the crime is’ John MacDonald of the School of Arts and Sciences was cited for his analysis of the reduction in New York City crime rates, which has been attributed to stop and frisk policies. “Saturating high crime neighborhoods with extra police helped reduce crime in New York, but the bulk of investigative stops did not play a meaningful role in the crime reduction,” he wrote. An algorithm that grants freedom, or takes it away The New York Times An algorithm that grants freedom, or takes it away An algorithm created for the Philadelphia Adult Probation and Parole Department by Richard Berk of the School of Arts and Sciences tries to improve on human judgement by excluding data that could be a proxy for race. “All machine-learning algorithms are black boxes, but the human brain is also a black box,” he said. Trump wants law and order front and center The New York Times Trump wants law and order front and center Research by Aurélie Ouss of the School of Arts and Sciences on the consequences of Philadelphia’s “no cash bail” policies was cited. Using science to make cities safer and healthier Penn Medicine’s Eugenia South, seen here with John MacDonald of the Department of Criminology, studies the effect of chronic stress and neighborhood environment on health outcomes. South’s latest pilot, Nurtured in Nature, follows work from the pair showing that cleaning up vacant lots leads to a signifiant decrease in gun violence and less stress for local residents. (Pre-pandemic photo) Q&A Using science to make cities safer and healthier In a Q&A, criminologist John MacDonald discusses his new book, grounded in years of research on the positive effects of remediation like fixing up abandoned lots and houses. Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated The Washington Post Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated Aurélie Ouss of the School of Arts and Sciences praised a study that proved that algorithms are imperfect tools when it comes to predicting crime. She said that, ultimately, the usefulness of algorithms in criminal justice comes down to implementation: “It may be a case that a different tool that’s designed differently—that judges use differently—would yield different results.” Childhood exposure to trauma costs society $458 billion annually Childhood exposure to trauma costs society $458 billion annually Bureaucratic hurdles block access to treatment services, so they tend to go unused. This leads to adverse outcomes that put stress on public systems like social services and law enforcement. These prosecutors won office vowing to fight the system. Now, the system is fighting back The Washington Post These prosecutors won office vowing to fight the system. Now, the system is fighting back Richard Berk of the School of Arts and Sciences said it’s too early to know how the policies of progressive prosecutors like Larry Krasner in Philadelphia will affect crime rates. “There’s a natural variation in things like homicide, natural in the sense that we don’t know what causes it,” Berk said. “And we basically try to treat it as noise and don’t try to tell a story until we have that nailed down.” Removing human bias from predictive modeling Removing human bias from predictive modeling Predictive modeling is supposed to be neutral, a way to help remove personal prejudices from decision-making. But the algorithms are packed with the same biases that are built into the real-world data used to create them. Load More
Bloomberg stop and frisk comments resurface, said he put ‘all the cops’ in minority neighborhoods ‘where all the crime is’ Newsweek Bloomberg stop and frisk comments resurface, said he put ‘all the cops’ in minority neighborhoods ‘where all the crime is’ John MacDonald of the School of Arts and Sciences was cited for his analysis of the reduction in New York City crime rates, which has been attributed to stop and frisk policies. “Saturating high crime neighborhoods with extra police helped reduce crime in New York, but the bulk of investigative stops did not play a meaningful role in the crime reduction,” he wrote. An algorithm that grants freedom, or takes it away The New York Times An algorithm that grants freedom, or takes it away An algorithm created for the Philadelphia Adult Probation and Parole Department by Richard Berk of the School of Arts and Sciences tries to improve on human judgement by excluding data that could be a proxy for race. “All machine-learning algorithms are black boxes, but the human brain is also a black box,” he said. Trump wants law and order front and center The New York Times Trump wants law and order front and center Research by Aurélie Ouss of the School of Arts and Sciences on the consequences of Philadelphia’s “no cash bail” policies was cited. Using science to make cities safer and healthier Penn Medicine’s Eugenia South, seen here with John MacDonald of the Department of Criminology, studies the effect of chronic stress and neighborhood environment on health outcomes. South’s latest pilot, Nurtured in Nature, follows work from the pair showing that cleaning up vacant lots leads to a signifiant decrease in gun violence and less stress for local residents. (Pre-pandemic photo) Q&A Using science to make cities safer and healthier In a Q&A, criminologist John MacDonald discusses his new book, grounded in years of research on the positive effects of remediation like fixing up abandoned lots and houses. Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated The Washington Post Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated Aurélie Ouss of the School of Arts and Sciences praised a study that proved that algorithms are imperfect tools when it comes to predicting crime. She said that, ultimately, the usefulness of algorithms in criminal justice comes down to implementation: “It may be a case that a different tool that’s designed differently—that judges use differently—would yield different results.” Childhood exposure to trauma costs society $458 billion annually Childhood exposure to trauma costs society $458 billion annually Bureaucratic hurdles block access to treatment services, so they tend to go unused. This leads to adverse outcomes that put stress on public systems like social services and law enforcement. These prosecutors won office vowing to fight the system. Now, the system is fighting back The Washington Post These prosecutors won office vowing to fight the system. Now, the system is fighting back Richard Berk of the School of Arts and Sciences said it’s too early to know how the policies of progressive prosecutors like Larry Krasner in Philadelphia will affect crime rates. “There’s a natural variation in things like homicide, natural in the sense that we don’t know what causes it,” Berk said. “And we basically try to treat it as noise and don’t try to tell a story until we have that nailed down.” Removing human bias from predictive modeling Removing human bias from predictive modeling Predictive modeling is supposed to be neutral, a way to help remove personal prejudices from decision-making. But the algorithms are packed with the same biases that are built into the real-world data used to create them. Load More
An algorithm that grants freedom, or takes it away The New York Times An algorithm that grants freedom, or takes it away An algorithm created for the Philadelphia Adult Probation and Parole Department by Richard Berk of the School of Arts and Sciences tries to improve on human judgement by excluding data that could be a proxy for race. “All machine-learning algorithms are black boxes, but the human brain is also a black box,” he said. Trump wants law and order front and center The New York Times Trump wants law and order front and center Research by Aurélie Ouss of the School of Arts and Sciences on the consequences of Philadelphia’s “no cash bail” policies was cited. Using science to make cities safer and healthier Penn Medicine’s Eugenia South, seen here with John MacDonald of the Department of Criminology, studies the effect of chronic stress and neighborhood environment on health outcomes. South’s latest pilot, Nurtured in Nature, follows work from the pair showing that cleaning up vacant lots leads to a signifiant decrease in gun violence and less stress for local residents. (Pre-pandemic photo) Q&A Using science to make cities safer and healthier In a Q&A, criminologist John MacDonald discusses his new book, grounded in years of research on the positive effects of remediation like fixing up abandoned lots and houses. Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated The Washington Post Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated Aurélie Ouss of the School of Arts and Sciences praised a study that proved that algorithms are imperfect tools when it comes to predicting crime. She said that, ultimately, the usefulness of algorithms in criminal justice comes down to implementation: “It may be a case that a different tool that’s designed differently—that judges use differently—would yield different results.” Childhood exposure to trauma costs society $458 billion annually Childhood exposure to trauma costs society $458 billion annually Bureaucratic hurdles block access to treatment services, so they tend to go unused. This leads to adverse outcomes that put stress on public systems like social services and law enforcement. These prosecutors won office vowing to fight the system. Now, the system is fighting back The Washington Post These prosecutors won office vowing to fight the system. Now, the system is fighting back Richard Berk of the School of Arts and Sciences said it’s too early to know how the policies of progressive prosecutors like Larry Krasner in Philadelphia will affect crime rates. “There’s a natural variation in things like homicide, natural in the sense that we don’t know what causes it,” Berk said. “And we basically try to treat it as noise and don’t try to tell a story until we have that nailed down.” Removing human bias from predictive modeling Removing human bias from predictive modeling Predictive modeling is supposed to be neutral, a way to help remove personal prejudices from decision-making. But the algorithms are packed with the same biases that are built into the real-world data used to create them. Load More
Trump wants law and order front and center The New York Times Trump wants law and order front and center Research by Aurélie Ouss of the School of Arts and Sciences on the consequences of Philadelphia’s “no cash bail” policies was cited. Using science to make cities safer and healthier Penn Medicine’s Eugenia South, seen here with John MacDonald of the Department of Criminology, studies the effect of chronic stress and neighborhood environment on health outcomes. South’s latest pilot, Nurtured in Nature, follows work from the pair showing that cleaning up vacant lots leads to a signifiant decrease in gun violence and less stress for local residents. (Pre-pandemic photo) Q&A Using science to make cities safer and healthier In a Q&A, criminologist John MacDonald discusses his new book, grounded in years of research on the positive effects of remediation like fixing up abandoned lots and houses. Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated The Washington Post Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated Aurélie Ouss of the School of Arts and Sciences praised a study that proved that algorithms are imperfect tools when it comes to predicting crime. She said that, ultimately, the usefulness of algorithms in criminal justice comes down to implementation: “It may be a case that a different tool that’s designed differently—that judges use differently—would yield different results.” Childhood exposure to trauma costs society $458 billion annually Childhood exposure to trauma costs society $458 billion annually Bureaucratic hurdles block access to treatment services, so they tend to go unused. This leads to adverse outcomes that put stress on public systems like social services and law enforcement. These prosecutors won office vowing to fight the system. Now, the system is fighting back The Washington Post These prosecutors won office vowing to fight the system. Now, the system is fighting back Richard Berk of the School of Arts and Sciences said it’s too early to know how the policies of progressive prosecutors like Larry Krasner in Philadelphia will affect crime rates. “There’s a natural variation in things like homicide, natural in the sense that we don’t know what causes it,” Berk said. “And we basically try to treat it as noise and don’t try to tell a story until we have that nailed down.” Removing human bias from predictive modeling Removing human bias from predictive modeling Predictive modeling is supposed to be neutral, a way to help remove personal prejudices from decision-making. But the algorithms are packed with the same biases that are built into the real-world data used to create them. Load More
Using science to make cities safer and healthier Penn Medicine’s Eugenia South, seen here with John MacDonald of the Department of Criminology, studies the effect of chronic stress and neighborhood environment on health outcomes. South’s latest pilot, Nurtured in Nature, follows work from the pair showing that cleaning up vacant lots leads to a signifiant decrease in gun violence and less stress for local residents. (Pre-pandemic photo) Q&A Using science to make cities safer and healthier In a Q&A, criminologist John MacDonald discusses his new book, grounded in years of research on the positive effects of remediation like fixing up abandoned lots and houses.
Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated The Washington Post Algorithms were supposed to make Virginia judges fairer. What actually happened was far more complicated Aurélie Ouss of the School of Arts and Sciences praised a study that proved that algorithms are imperfect tools when it comes to predicting crime. She said that, ultimately, the usefulness of algorithms in criminal justice comes down to implementation: “It may be a case that a different tool that’s designed differently—that judges use differently—would yield different results.” Childhood exposure to trauma costs society $458 billion annually Childhood exposure to trauma costs society $458 billion annually Bureaucratic hurdles block access to treatment services, so they tend to go unused. This leads to adverse outcomes that put stress on public systems like social services and law enforcement. These prosecutors won office vowing to fight the system. Now, the system is fighting back The Washington Post These prosecutors won office vowing to fight the system. Now, the system is fighting back Richard Berk of the School of Arts and Sciences said it’s too early to know how the policies of progressive prosecutors like Larry Krasner in Philadelphia will affect crime rates. “There’s a natural variation in things like homicide, natural in the sense that we don’t know what causes it,” Berk said. “And we basically try to treat it as noise and don’t try to tell a story until we have that nailed down.” Removing human bias from predictive modeling Removing human bias from predictive modeling Predictive modeling is supposed to be neutral, a way to help remove personal prejudices from decision-making. But the algorithms are packed with the same biases that are built into the real-world data used to create them. Load More
Childhood exposure to trauma costs society $458 billion annually Childhood exposure to trauma costs society $458 billion annually Bureaucratic hurdles block access to treatment services, so they tend to go unused. This leads to adverse outcomes that put stress on public systems like social services and law enforcement.
These prosecutors won office vowing to fight the system. Now, the system is fighting back The Washington Post These prosecutors won office vowing to fight the system. Now, the system is fighting back Richard Berk of the School of Arts and Sciences said it’s too early to know how the policies of progressive prosecutors like Larry Krasner in Philadelphia will affect crime rates. “There’s a natural variation in things like homicide, natural in the sense that we don’t know what causes it,” Berk said. “And we basically try to treat it as noise and don’t try to tell a story until we have that nailed down.” Removing human bias from predictive modeling Removing human bias from predictive modeling Predictive modeling is supposed to be neutral, a way to help remove personal prejudices from decision-making. But the algorithms are packed with the same biases that are built into the real-world data used to create them.
Removing human bias from predictive modeling Removing human bias from predictive modeling Predictive modeling is supposed to be neutral, a way to help remove personal prejudices from decision-making. But the algorithms are packed with the same biases that are built into the real-world data used to create them.