The Education Committee of the Computing Research Association (CRA-E) is proud to announce two recipients of the 2018 CRA-E Undergraduate Research Faculty Mentoring Award: Michael Ernst from the University of Washington in Seattle and Catherine Putonti from Loyola University in Chicago.
Posts categorized under: People
My research focuses on empowering individuals through computing technologies that more effectively match their knowledge, experience, abilities, and goals. The majority of my recent research has focused on accessibility-related issues. Working with my students, our research employs a broad definition of accessibility, seeking to empower individuals with disabilities as well as individuals who may experience challenges due to the environment in which they are using computing technologies.
CRA Executive Director Andrew Bernat, board member H.V. Jagadish and former board member M. Tamer Özsu have been named Fellows of the American Association for the Advancement of Science (AAAS).
What does it take to produce application code that performs as close as possible to a parallel architecture’s compute or memory peak performance? This question is one that programmers of high-performance architectures contemplate regularly since using such systems efficiently can solve problems faster, or solve larger or more complex problems.
This question fundamentally changes the approach to programming.
Recently, CRA board member Kim Hazelwood (Facebook) and Natalie Enright Jerger (University of Toronto) published an article in Computer Architecture Today that analyzed gender diversity in the sub-discipline. CRA’s Jane Stout provides her commentary.
This year, CRA Board Chair Susan Davidson received the IEEE TCDE Impact Award for “expanding the reach of data engineering within scientific disciplines.” In this interview, Davidson reveals how her interest in bioinformatics came about and how her career led to this award. Two of her favorite problems have been data integration and data provenance.
Two years ago, the leadership of the House Science, Space and Technology Committee looked to our organization, the Computing Research Association, to endorse an approach to reauthorize funding at a number of key Federal science agencies. The proposed legislation would provide increases for computing research funding at the National Science Foundation while keeping the overall agency budget essentially flat by bolstering computing — along with mathematics, physics, biology, and engineering — at the expense of the social, behavioral, and economic sciences (and the geosciences). The committee Chair hoped that CRA, which represents nearly 200 academic computing departments and industrial research labs — including computing research labs at IBM, Google, Facebook, and Microsoft — would support the approach, given the direct and indirect benefits increased investment in computing research at NSF would have to our member institutions.
I study how data and people interact. For more than a decade, I have been studying how to help humans access and manage information. While there is a lot of good work on human-computer interaction and on data visualization, much less work exists on “human-data interaction.” Why can anyone use Google to get information of interest while it is so difficult to get useful information from a structured database? The difference lies in the specificity of the request. A web search engine receives your request and tries to guess your intention. You know that it has a limited understanding of your need, and are happy to have it get you into “the zone,” from where you can explore for yourself. On the other hand, a traditional database query engine can give you complete answers to complex questions but requires that you precisely specify your query. If you make a small mistake, you are out of luck. Wouldn’t it be helpful to devise database query mechanisms that you can actually use and get reasonable results from even if you don’t ask it totally correctly? Complementarily, can the system help you ask a better question in the first place? Similar concerns also apply to the creation of a database, and helping users manage their data.
After serving the CRA-W community as a Program Associate for two and a half years, Melissa Borts has left CRA to return to school. Melissa is returning to her alma mater, the University of Maryland, to pursue her MBA.
On June 30, Laura Haas, former CRA vice chair, will retire from IBM research after 36 years in order to tackle a new challenge. In August, she will become dean of the new College of Information and Computer Sciences at the University of Massachusetts Amherst.
She reflects on her time at IBM a blog post – “Laura Haas: 36 years of making IBM Research ‘Famous for our science, vital to the world.'”