Palm Springs, California
May 6, 2016 - May 8, 2016
Early-bird Deadline: Sun, March 6th, 2016
Wed, April 6th, 2016
Extended Submission Deadline: Fri, April 29th, 2016
While intentionally interdisciplinary, this conference likely is of most interest to those with interests in:
Business | Management | Marketing | Finance | Accounting | Operations | Human Resources | Industry
The practice of managing an organization sometimes seems more a science, with decisions and strategies developed through reliance upon general principles and rigorously designed models. Other times it seems more an art, relying upon personal characteristics such as intuition, imagination or personality to achieve specific goals. Moreover, both the science and the art often are concentrated in one functional area of business, such as marketing or finance or logistics, without sufficient consideration of the interplay across functional areas. We welcome presentations on any aspect of business or organizational management, especially those that provide insights that cut across functional boundaries, based upon theories, empirical analyses or case studies.
As with all events offered by The Sisu Advantage, this event is run in parallel with another conference. The intent is to break down traditional discipline silos and foster interdisciplinary collaboration. Registration to this event allows attendance to all sessions and events of both The Pacific Conference on Statistical Computing and Data Mining
and The Pacific Conference on The Science and Art of Business
, at no additional cost.
A California Connection:
Whatever else they may think about the United States, people around the world view this country as exemplary, for better or for worse, in the opportunities it provides for success in business. Often overlooked from afar, there are substantial differences in the eco-political climate for big businesses versus small businesses, as well as disparities in the eco-political climate across states within the U.S. As the map below indicates, California (as well as Hawaii, Illinois, Maine, Rhode Island and Vermont) recently received a grade of “F” for small business climate, using a metric that considers tax code, regulations, and licensing requirements. In particular, California is graded “D” in tax code, and “F” in both its regulatory environment and its licensing requirements. Unfortunately for California, the thrust of evidence is that businesses care more about making it easy to do their job (less regulations, less licensing) than paying more in taxes.
Each conference weekend, a specialty workshop is offered that exposes attendees to open-source productivity tools that are freely available, such as "R Packages", that are specifically designed for teaching and research in the discipline(s) and topics that are the focus of that weekend.
The R Statistical Computing Environment is a free, downloadable software system for both basic and state-of-the-art data visualizations and analyses.
It is the leading programming language for newly introduced algorithms, and more than 7,000 “R Packages” are available for download to save you from needing to “reinvent the wheel” in your own work. We solicit requests from attending delegates and select one or two to present at each workshop. No prior experience with R or programming is expected.
Following are a sample of “R Packages” representative of those we cover:
- Pre-K through K-12 Education // Language Learning
→ “shiny Package”: for building interactive web data visualizations
- Community College and University Ed// Distance and Lifelong Learning
→ “knitr Package”: for presentation and publication of reproducible work
- Social/Mass Media and Communication // Fine Arts and Humanities
→ “tm Package”: a comprehensive framework for text mining and web-mining
- Psychology and the Behavioral Sciences // Economics and Social Sciences
→ “vegan Package”: for ordination methods like multidimensional scaling
- Statistical Computing and Data Mining // The Science and Art of Business
→ “rattle Package”: A GUI for classical and tree models and data mining
- Energy, Climate Change and the Environment // Technology and Public Policy
→ “EnvStats Package”: for environmental statistics and EPA guidance