Search

Search results

    How to Hire with Algorithms

    How to Hire with Algorithms

    October 17, 2016

    Harvard Business Review |  By Oren Danieli (Ph.D. candidate in Business Economics), Andrew Hillis, and Michael Luca (Assistant Professor of Business Administration). Algorithms have the potential to improve hiring and promotion decisions, the authors argue, but need to be managed.

    "We explored that potential in a recent study (American Economic Review, May 2016) on selecting teachers and policemen. We used machine learning algorithms to transform data about teacher and police characteristics – for example, educational background, surveys, and test performance – into predictions about their likely performance in the future. Our results demonstrate that students and communities alike could benefit from a more data-driven selection process. Algorithms can help with some of the nation’s most challenging personnel issues. For example, the data suggest that police departments can predict, at the time of hire, which officers are most likely to be involved in a shooting or accused of abuse."
    View the research

    Sentencing Reform in an Era of Racialized Mass Incarceration

    Sentencing Reform in an Era of Racialized Mass Incarceration

    November 3, 2016

    Doctoral fellow Alix Winter, Ph.D. candidate in Sociology & Social Policy, and Matthew Clair, a Ph.D. candidate in Sociology, respond to the Massachusetts Sentencing Commission's invitation to comment on issues relating to sentencing policies and practices for the Commonwealth of Massachusetts. Winter and Clair provide "a brief overview of sociological research on mass incarceration, sentencing practices, and racial/ethnic minorities’ disproportionate contact with criminal justice institutions," drawing the Commission's attention to "empirical research pertaining to potential sentencing practices, policies, and principles that may assist the Commonwealth in reducing racial/ethnic sentencing disparities". They then draw on this research to make specific recommendations.

    Clair and Winter co-authored a related academic article, “How Judges Think about Racial Disparities: Situational Decision-Making in the Criminal Justice System," published in Criminology earlier this year. Learn more about their work at their homepages:
    scholar.harvard.edu/alixwinter
    scholar.harvard.edu/matthewclair

    Seeing Red in Trump's America

    Seeing Red in Trump's America

    November 10, 2016

    Radio OpenSource | Among this week's guests, Nathan J. Robinson, Ph.D. student in Sociology & Social Policy.

    Is the American Dream Fading?

    Is the American Dream Fading?

    December 9, 2016

    Pacific Standard | A conversation with Robert Manduca (Ph.D. student in Sociology & Social Policy), one of the authors of the economic mobility study making waves this week. Learn more about Robert Manduca's work: robertmanduca.com

    Monica Bell guests on Undisclosed

    Monica Bell guests on Undisclosed

    December 22, 2016

    Undisclosed (S2, Addendum 21) | Monica Bell, Ph.D. candidate in Sociology & Social Policy, talks class, race, and geography and how these shape trust/distrust in the criminal justice system. On the criminal justice podcast Undisclosed. Learn more about Monica Bell's research at her homepage: scholar.harvard.edu/bell 

    When Do Renters Behave Like Homeowners? High Rent, Price Anxiety, and NIMBYism

    When Do Renters Behave Like Homeowners? High Rent, Price Anxiety, and NIMBYism

    February 7, 2017

    JCHS Housing Perspectives | By Michael Hankinson, Ph.D. candidate in Government & Social Policy. Hankinson's findings, "based on new national-level experimental data and city-specific behavioral data....help explain why it is so hard to build new housing in expensive cities even when there is citywide support for that housing."  Read the full paper in the Joint Center for Housing Studies Working Paper series, and learn more about Hankinson's work at his website.
    mhankinson.com

Pages