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Advances in information and communications technology and the “datafication” of broadening fields of human endeavor are generating unparalleled quantities and kinds of data about individual and group behavior, much of which is now being deployed to assess risk by governments worldwide. For example, law enforcement personnel are expected to prevent terrorism through data-informed policing aimed at curbing extremism before it expresses itself as violence. And police are deployed to predicted “hot spots” based on data related to past crime. Judges are turning to data-driven metrics to help them assess the risk that an individual will act violently and should be detained before trial. Where some analysts celebrate these developments as advancing “evidence-based” policing and objective decision-making, others decry the discriminatory impact of reliance on data sets tainted by disproportionate policing in communities of color. Still others insist on a bright line between policing for community safety in countries with democratic traditions and credible institutions, and policing for social control in authoritarian settings. The 2016 annual conference will leverage the interdisciplinary strengths of the Robert L. Bernstein Institute to consider the human rights implications of the varied uses of predictive analytics by state actors. As a core part of this endeavor, the conference will examine—and seek to advance—the capacity of human rights practitioners to access, evaluate, and challenge risk assessments made through predictive analytics by governments worldwide.
The Tow Center for Digital Journalism at Columbia Journalism School is excited to present the launch event for Curious Journalist’s Guide to Data – a research project led by Tow Fellow Jonathan Stray.
Data journalism relies on deep principles from statistics, cognitive science, ethnography and more. But none of this is traditionally taught to journalists, and these ideas can be hard to learn because they seldom appear together in the same textbook! This report brings together many fields to explore where data comes from, how to analyze it, and how to communicate your results. It uses examples from journalism to explain everything from Bayesian statistics to the neurobiology of data visualization, all in plain language with lots of illustrations. Some of these ideas are thousands of years old, some were developed only a decade ago, and all of them have come together to create the 21st century practice of data journalism.
Please join Intellectual Publics for Reconciliation Projects: Ancestry and DNA in Black Political Culture, an evening event which features Alondra Nelson (Columbia University), author of The Social Life of DNA: Race, Reparations, and Reconciliation After the Genome (2016) in conversation with Jacqueline N. Brown (Hunter College) on March 28, 2016 at The Graduate Center.
We Robot is the most exciting interdisciplinary conference on the legal and policy questions relating to robots. The increasing sophistication of robots and their widespread deployment everywhere—from the home, to hospitals, to public spaces, and even to the battlefield—disrupts existing legal regimes and requires new thinking on policy issues.
If you are on the front lines of robot theory, design, or development, we hope to see you. Come join the conversations between the people designing, building, and deploying robots, and the people who design or influence the legal and social structures in which robots will operate.
Join the Center on Privacy & Technology for a roundtable discussion with Chris Wolf, a pioneer of private sector privacy law practice who is today widely considered one of the world’s top privacy lawyers.
The increasing power of big data and algorithmic decision-making—in commercial, government, and even non-profit contexts—has raised concerns among academics, activists, journalists and legal experts. Three characteristics of algorithmic ordering have made the problem particularly difficult to address: the data used may be inaccurate or inappropriate, algorithmic modeling may be biased or limited, and the uses of algorithms are still opaque in many critical sectors – See more at: http://isp.yale.edu/event/unlocking-black-box-promise-and-limits-algorithmic-accountability-professions#sthash.Ptqyi1ab.dpuf
The world’s premier privacy conference, the Global Privacy Summit is your go-to for innovative, world-class education, fantastic networking and privacy training and certification. Training and workshops will take place April 3-4, and the conference will follow on April 5-6.
For more information, including submitting proposals to speak at the Summit, please click here.
Join CDT April 6, 2016, at the Marriott Marquis for CDT’s Annual Dinner. The evening, fondly known as Tech Prom, will feature the most influential minds of today’s tech policy world, and will highlight the most pressing issues in the field. It will also provide many opportunities to mingle, connect, and exchange views with a variety of attendees from all sectors.
Designing for Digital is a two-day conference packed with intensive, hands-on workshops and informative sessions meant to bring together colleagues working on user experience, discovery, design and usability projects inside and outside of libraries, drawing expertise from the tech and education communities, as well as from peers. Learn more about who we are and what we’re doing.
Join us for demos and lightning talks by Columbia researchers presenting their latest work in data science. The event is designed to foster collaboration between innovators in academia and industry.