D-Lab is seeking a new graduate student team member to implement our qualitative data analysis vision for a spectrum of services, including workshops, consulting and the Qualitative Methods Group (QMG).
This semester, the D-Lab plans to expand our qualtiative data analysis offerings in response to the high demand for our workshops and the Qualitative Methods Group (QMG) activities. The expansion includes new workshop leaders and additional workshops, which will also add to the available qualitative consultants. Over the course of this semester, we hope to achieve a new level of resources for qualitative social scientists across campus!
The Vision for D-Lab's Expansion of Qualitative Data Analysis Offerings
If you feel inspired to help fellow researchers and students learn about and work with research methods and tools, we're interested in hiring you. The D-Lab supports quantitative, qualitative, and mixed-methods research at each stage of the process—from research design to data analysis. We have an open, inclusive culture that values diversity and open exchange. At D-Lab, you will have the opportunity to develop leadership while working collaboratively with other students and staff.
On December 3, 2015 the U.S. Census Bureau released the 2010-2014 5 year ACS (American Community Survey) data. You can read all about it on the Census website. This fantastic five-year statistical database provides aggregate social and economic characteristics about American individuals and families down to the block group level. A number of online tools provide access to the ACS 2010-2014 data using graphical user interfaces (GUIs).
The D-Lab is hiring R instructors for the Spring semester to teach beginning and intermediate classes in data visualization and analysis! Requirements: you must be competent in R and you must be available on campus the week before classes start (i.e. 11-15 Jan 2016), and familiarity with git is desired. If interested, please contact Dillon Niederhut email@example.com
At the D-Lab, we work hard to provide the campus community with access to the learning resources they need. We consult and teach workshops on research design, data analysis, coding, and much more. We also like to have fun.
D-Lab is the Social Sciences Data Laboratory – A place on campus that trains people to work with data, data analysis methods, programming languages and tools, and software. We have an active, inclusive culture that values diversity, collaboration and open exchange.
If you feel inspired to help fellow researchers and students learn about and work with research methods and tools, we're interested in hiring you. The D-Lab supports quantitative, qualitative, and mixed-methods research at each stage of the process—from research design to data analysis. We have an open, inclusive culture that values diversity and open exchange. At D-Lab, you will have the opportunity to develop leadership in a particular area while working collaboratively with other students and staff. Our needs tend to fall into three categories, described below.
The career evening and datathon with Cornerstone was a huge hit.
On the evening of April 30th, several staff from Cornerstone came to D-Lab to talk about work as an economic consultant: a practical application of rigorous quantitative research and analysis. The culture at Cornerstone - a mixture of rigor and collegiality, of suits and jeans, of financial district and tech industry - is a great fit for D-Lab!
At the DataEDGE conference today, Quentin Hardy interviewed Michael Chui, senior fellow of the McKinsey Global Institute, about the Internet of Things (IoT). Representing a management consulting firm, Chui emphasized the business potential of IoT. He maintains that this sector hold great promise.