Hello,
I had previously contacted this list to see if there was interest in collaborating on a PDW about data-driven assignments. While there were some expressions of interest, not enough to propose the PDW this year.
It would be great to caucus with some colleagues with similar interests this year to perhaps develop a PDW for 2016. If you are interested and willing to be listed as one of the 5 supporters of the caucus (which does not count in the "Rule of 3"), please get in touch.
The deadline is Jan 13th, tomorrow. If you are interested, don't delay.
A draft caucus proposal is below, which has been broadened a bit from the previous description of "data-driven assignments."
Yours,
Jennifer Miller
Assistant Professor (Teaching)
USC Sol Price School of Public Policy
University of Southern California
mill136@usc.edu
Teaching Opportunities from Open Data
Organizer: Jennifer M. Miller, University of Southern California,
mill136@usc.edu, 213-821-5799
Keywords: teaching, data
Technology makes it easier and less costly than ever before to access data. With this access has come an Open Data movement to promote fast, simple, and free access to data. While this particularly true of government data, including that resulting from publicly funded research, the spirit of open data is also seen in the private sector through tools such as Google Analytics. The frameworks for property rights to and managerial control of data are evolving rapidly to increase access. If tomorrow’s executives, managers, and entrepreneurs do not make effective use of newly open data, their competitors will. As management educators, we must prepare our students to work effectively with data.
This caucus provides an opportunity for faculty who teach (or would like to teach) students about data to share their successes, challenges, and opportunities. In particular, the caucus welcomes participation from faculty who teach students about data through such activities as data collection, data analysis, and communication of data-driven findings. Discussion topics will include data-related learning outcomes for undergraduate and graduate students, resources for teaching students about data, assessment of data-related competencies, and the use of technology to teach students about data.
Desired outcomes from this caucus include connections among management educators with an interest in the teaching opportunities that arise from open access to data and formation of a team of collaborators to develop a Professional Development Workshop proposal for the 2016 Annual Meeting. The caucus may be of particular interest to the MED and TIM interest groups. The caucus session will be structured in three parts: sharing of experiences related to teaching students about data, discussion of what would be most valuable to include in a PDW on this topics, and identification of any contributions attendees would be willing to make to the proposed PDW.