Harvard is looking for a Semantic Information Infrastructure Technical Lead in Cambridge, MA. According to the post, “The Knowledge and Library Services (KLS) group at Harvard Business School (HBS) is looking for a highly motivated and experienced technology architect who is devoted to continuous self-development and learning to join our team as a key player in the creation of the information infrastructures, databases, data structures and models necessary to deliver 21st century information services to HBS and beyond. Specifically, this person will work in a team-based environment to lead the creation, development and maintenance of a rich semantic entity-based information layer that will facilitate the use and discovery of HBS priority content in research, teaching and learning at HBS and will enable data integration and data alignment / coordination among siloed data sources at HBS.” Read more
Posts Tagged ‘Harvard’
It’s not only in June that we’ll see a new crop of graduates emerging from university and post-grad programs. Many students also don cap-and-gown for December ceremonies – a prelude to wearing regular or casual business attire, they hope.
Of course, matching up with the right job is always a challenging prospect. That’s true on many fronts – the slow economy, for one, but also just figuring out what the ideal career fit will be. Pymetrics is hoping to help solve that problem, with its recent announcement of a career assessment and recruiting platform that draws on neuroscience games-based assessment – a nice touch for the crowd that largely grew up with Playstations, Gameboys, iPods, Xboxes and the rest of the digital gaming gang – and machine learning.
Harvard is looking for a Senior Digital Library Software Engineer in Cambridge, MA. The post states, “Harvard University IT Library Technology Services is seeking a skilled software developer with experience in academic libraries to play a leading role in transitioning innovative prototypes of web-based library applications into a sustainable, robust production environment. Will collaborate with Harvard developers and teams around the university to transfer ownership of source code and working prototypes into the Library Technology Services infrastructure, work with product owners to define requirements for broader use (including creating open source projects), design and develop needed software enhancements and bug fixes, and collaborate with the LTS operations staff to deploy the software in a production environment. Will help define technical standards for ingest of new projects and must keep current on new tools and technologies.” Read more
Harvard Medical School is looking for a Programmer in Boston, MA. According to the post, “The Biomedical Cybernetics Laboratory (BCL) at the Center for Biomedical Informatics, Harvard Medical School (bcl.med.harvard.edu) at Harvard/MIT is seeking a programmer to apply novel research approaches and develop several medical applications using a new electronic health record (EHR)-agnostic application programming interface (SMART). BCL utilizes computational network approaches to develop predictive models for diseases. We are currently developing some new and exciting applications in the medical field that may help both doctors and patients by developing and applying novel translational research approaches.” Read more
The Semantic Technology and Business Conference is heading back to the Big Apple in October. The conference — which will take place October 15-17 in New York City — will feature keynote speeches from top movers and shakers in the fields of Semantic Web Technology, Big Data, Enterprise Semantics, and more. Registration for the event is now open.
Watson Goes Back to School – And what it tells us about the evolving role of semantic technology
by Christopher Welty, Research Scientist – IBM Research
In the traditional vision of AI, understanding flowed from perception through language to knowledge… This is the root of all semantic technology today. However, over time, the failure of the AI community to achieve this end-to-end vision made many, especially those in NLP, question the endpoint. In this talk, we show that it was the vision, not the technology, that deserved to be doubted. Semantic technology has significant value in accomplishing tasks that require understanding, but it is not the endpoint. Read more
The Harvard Boston Research Initiative [HBRI], in conjunction with the City of Boston, has announced that it is seeking applicants for a part-time graduate fellowship. The fellowship runs from February 1, 2012 through August 31, 2012 and applications are due January 1, 2012. The announcement states, “The fellowship is funded by the Radcliffe Institute for Advanced Study at Harvard University, but doctoral students from any school in the greater Boston area with strong skills in data management and analysis, and an interest in computational social science are encouraged to apply.”
“Fellows will work 15-25 hours/week, mainly at Boston City Hall, and will be paid $20/hour. While at City Hall, fellows will spend much of their time working closely with a team of policy makers and researchers interested in using new types of data to carry out analyses that can improve both public policy and scholarship about key urban issues. ” Read more
Stephen Wolfram, creator of Wolfram|Alpha and Mathematica, & Jonathan Zittrain, Professor of Law at Harvard Law School
There’s been great anticipation around Stephen Wolfram’s ambitious project to create a comprehensive "computational knowledge engine." The Berkman Center for Internet & Society at Harvard University will host a sneak preview of the Wolfram|Alpha system, and a discussion of its underlying technology and implications. Participants will include Wolfram|Alpha founder Stephen Wolfram and Jonathan Zittrain, Professor of Law.
The HCLS IG gave a tutorial at the C-SHALS Conference last week. It was very well attended and consisted of participants from pharma, payers, health care organizations, technology companies, and academia.
The first half of the tutorial began with a primer on the Semantic Web that was delivered by Lee Feigenbaum. He did an excellent job of introducing the technology, and answering a broad range of good questions from the participants.
The second half of the tutorial began with Eric Prud’hommeaux (W3C) introducing HCLS. He highlighted that the mission of the group is to develop, advocate for, and support the use of Semantic Web technologies for biological science, translational medicine, and health care; and described the strong need for interoperability within these domains. He highlighted that almost 100 individuals are now participating in the interest group.
The tutorial then provided an overview of the activities being undertaken by the different tasks within HCLS. Vipul Kashyap (Cigna) described how the Clinical Observations Interoperability task built a demo that enables querying across electronic health records that are in different formats. John Madden (Duke) presented on work within the Terminology task to represent SNOMED within Semantic Web representations, and compared benefits of SKOS to OWL. Susie Stephens (Lilly) presented on making publicly available data sets about drugs available within the Linked Data cloud, which is ongoing work within the Linking Open Drug Data task. She also briefly introduced the new Pharma Ontology task which has the goal of creating a high-level, patient-centric ontology for translational medicine. Tim Clark (Harvard) represented the Scientific Discourse task and described their approach for integrating knowledge relating to hypotheses derived from literature and experiments using SWAN, SIOC, and myExperiment ontologies. The tutorial concluded with Kei Cheung (Yale) providing a description of the accomplishments on aTags and federated query within the BioRDF task.
Slides are available from the tutorial on the HCLS Wiki.
Back when I was an industry analyst (VP, E-Business Strategies at the META Group, since acquired by Gartner), I often had to critique emerging markets. Unlike venture capitalists, industry analysts are privy to product roadmaps from publicly-traded companies, including the industry giants (Oracle, SAP, Microsoft, IBM). And unlike i-bankers, they are privy to product roadmaps from start-ups. And as a kicker, some analysts (actually, only those with the largest firms; back then, primarily limited to those analysts with Gartner, Forrester, META and Giga) get a lot of great feedback from CIOs and other end users.