Data Science

  • Computing empowers immune cells to kill cancer

    Monday, Nov 30, 2020
    by Steven Schultz, School of Engineering and Applied Science

    One of the most promising new cancer therapies involves engineering cells from the body's own immune system to attack tumors, but tuning those attackers to spare healthy tissues has been challenging. Now a collaboration of computer scientists and bioengineers has produced a way to select targets with the same kind of logic that drives computers, promising treatments that are both safer and more broadly effective.

  • New radar allows cars to spot hazards around corners

    Thursday, Jun 25, 2020
    by John Sullivan, Office of Engineering Communications

    Using radar commonly deployed to track speeders and fastballs, researchers have developed an automated system that will allow cars to peer around corners and spot oncoming traffic and pedestrians.

  • COVID-19's silent spread: Princeton researchers explore how symptomless transmission helps pathogens thrive

    Tuesday, May 12, 2020
    by Catherine Zandonella, Office of the Dean for Research

    COVID-19's rapid spread throughout the world has been fueled in part by the virus' ability to be transmitted by people who are not showing symptoms of infection.

    Now, a study by researchers at Princeton has found that this silent phase of transmission can be a successful evolutionary strategy for pathogens such as viruses like the one that causes COVID-19. The study was published May 8 in the journal Proceedings of the National Academy of Sciences.

  • Multi-year datasets suggest projecting outcomes of people’s lives with AI isn't so simple

    Tuesday, Mar 31, 2020
    by B. Rose Huber, Woodrow Wilson School of Public and International Affairs

    The machine learning techniques scientists use to predict outcomes from large datasets may fall short when it comes to projecting the outcomes of people’s lives, according to a mass collaborative study led by researchers at Princeton.

    Published by 112 co-authors in the Proceedings of the National Academy of Sciences, the results suggest that sociologists and data scientists should use caution in predictive modeling, especially in the criminal justice system and social programs.

  • New mathematical model can more effectively track epidemics

    Wednesday, Mar 25, 2020
    by John Sullivan, Office of Engineering Communications

    As COVID-19 spreads worldwide, leaders are relying on mathematical models to make public health and economic decisions.

    A new model developed by Princeton and Carnegie Mellon researchers improves tracking of epidemics by accounting for mutations in diseases. Now, the researchers are working to apply their model to allow leaders to evaluate the effects of countermeasures to epidemics before they deploy them.

  • Food systems are fodder for curbing cities’ environmental impacts

    Tuesday, Mar 24, 2020
    by Molly Sharlach, Office of Engineering Communications

    Focusing on urbanization as a key driver of environmental change in the 21st century, researchers at Princeton have created a framework to understand and compare cities’ food systems and their effects on climate change, water use and land use. The research will allow planners to estimate the impact of a city’s food system and evaluate policy actions.

  • Internet security borne out of collaboration between Princeton and Let's Encrypt

    Friday, Feb 21, 2020
    by Adam Hadhazy for the Office of Engineering Communications

    An innovative protection against website counterfeiting developed by Princeton researchers went live on the internet Feb. 19, boosting security for hundreds of millions of websites. The rollout was the culmination of over two years of close collaboration between research groups at Princeton and Let's Encrypt, the world's largest certificate authority serving 200 million websites.

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