acm - an acm publication

Richard T. Snodgrass Collection

  • Mixing computation with people: an interview with Marianne Winslett

    In this interview, we learn about five fascinating subjects: security in manufacturing, negotiating trust in the web, updating logical databases, differential privacy, and scientific computing (including its security issues). This is a confluence that has, at its roots, the thorny problems that arise when you mix computation with people. Some beautiful technical results, many originated by Marianne Winslett, now address those challenges, but some surprises crop up along the way.

  • Ubiquity symposium: The science in computer science: broadening CS enrollments: an interview with Jan Cuny

    Until 2000, computer science enrollments were steadily increasing. Then suddenly students started turning to other fields; by 2008, enrollments had dropped by 50 percent. To that end, Jan Cuny has been leading a program at the National Science Foundation to increase both the number and diversity of students in computing. In this interview with Ubiquity, she discusses the magnitude of the problem and the initiatives underway to turn it around.

  • On experimental algorithmics: an interview with Catherine McGeoch and Bernard Moret

    Computer science is often divided into two camps, systems and theory, but of course the reality is more complicated and more interesting than that. One example is the area of "experimental algorithmics," also termed "empirical algorithmics." This fascinating discipline marries algorithm analysis, which is often done with mathematical proofs, with experimentation with real programs running on real machines.

  • An interview with Melanie Mitchell: On complexity

    Melanie Mitchell, a Professor of Computer Science at Portland State University and an External Professor at the Santa Fe Institute, has written a compelling and engaging book entitled Complexity: A Guided Tour, published just last year by Oxford University Press. This book was named by as one of the 10 best science books of 2009. Her research interests include artificial intelligence, machine learning, biologically inspired computing, cognitive science, and complex systems.