✪ Themed Session ■ Applied Session ◆ Presenter 262 Section on Bayesian Statistical 264 Section on Physical and Science A.M. Roundtable Discussion (fee Engineering Sciences A.M. Roundtable event) Discussion (fee event) Section on Bayesian Statistical Science Section on Physical and Engineering Sciences Tuesday, August 2, 7:00 a.m.–8:15 a.m. Tuesday, August 2, 7:00 a.m.–8:15 a.m. Gender Issues in Academia and How to Balance Engaging Stochastic Spatiotemporal Work and Life Methodologies in Renewable Energy Research FFrancesca Dominici, Harvard School of Public Health, Boston, FAlexander Kolovos, SAS Institute, Inc., 100 SAS Campus Dr., 02115, [email protected] S3042, Cary, NC 27513 USA, [email protected] Key Words: gender issue, balancing work and life Key Words: spatiotemporal, stochastic modeling, renewable energy, energy research, solar, wind Despite interventions by leaders in higher education, women are still under-represented in academic leadership positions. This dearth of This roundtable builds on a discussion initialized at JSM2010. Last women leaders is no longer a pipeline issue, raising questions as to the year the panel explored the interest in connecting statistical methodol- root causes for the persistence of this pattern. We have identified four ogies with research in the fields of renewable energy and sustainability. themes as the root causes for the under-representation of women in In particular, stochastic spatiotemporal analysis can provide a plethora leadership positions from focus group interviews of senior women fac- of tools for fundamental aspects in the modeling of attributes related ulty leaders at Johns Hopkins. These causes are found in routine prac- to renewable energy resources such as solar radiation, wind fields, tidal tices surrounding leadership selection as well as in cultural assumptions waves. In alignment with this year’s JSM all-encompassing theme, the about leadership potential and effectiveness. As part of this roundtable, goal now is to take a further step forward and engage energy-related I will discuss these findings and I will facilitate an informal discussion disciplines in the industry and the academia to benefit their research on how to balance work and life. from the availability of advanced methodologies in space-time analysis. Ideally, the session looks into enabling a communication core between statisticians and specialists in renewable energy and sustainability to bring forward the potential and benefits of shared research in these 263 Section on Health Policy Statistics disciplines. A.M. Roundtable Discussion (fee event) Section on Health Policy Statistics Tuesday, August 2, 7:00 a.m.–8:15 a.m. 265 Section on Quality and Productivity A.M. Roundtable Discussion (fee event) Do You Want To Visit Australasia? Section on Quality and Productivity FLouise Ryan, CSIRO, Australia, North Ryde, Sydney, _ 1670 Tuesday, August 2, 7:00 a.m.–8:15 a.m. Australia, [email protected] Key Words: Australia, New Zealand, Australasia Effective Statistical Training in Industry Have you ever thought about visiting the Australasian region for a FWillis Jensen, W. L. Gore & Associates, Inc., 3750 West Kiltie short research visit or sabattical, to attend a conference, or to take up Lane, Flagstaff, AZ 86003, [email protected] short-term or long-term employment? During this session we will ex- Key Words: Training Objectives, Training Myths, Teaching Tech- plore what it’s like living and working in Australasia, the differences niques, Socratic Method in statistical projects between the American and Australasian regions, and what job opportunities are currently available. This session will Many statisticians in industry have responsibilities to develop and be led by Louise Ryan, Chief of Mathematics, Informatics and Statis- deliver statistical training to different audiences, including engineers, tics at CSIRO. The Commonwealth Scientific and Industrial Research scientists and business leaders. We’ll talk about how we can make this Organisation is Australia’s national science agency and one of the larg- training more effective including some common training myths to rec- est and most diverse research agencies in the world (housing approxi- ognize. Some key questions that we’ll discuss are: 1 - What are appro- mately 6500 employees). priate objectives for training? 2 - Based on the objectives, what training topics should be covered in an industrial training? 3 - What are good training techniques/methods/ approaches? 4 - How do you evaluate the effectiveness of training? ✪ Themed Session ■ Applied Session ◆ Presenter 266 Section on Statistical Computing 268 Section on Statistical Education A.M. Roundtable Discussion (fee event) (fee event) Section on Statistical Computing Section on Statistical Education Tuesday, August 2, 7:00 a.m.–8:15 a.m. Tuesday, August 2, 7:00 a.m.–8:15 a.m. Introductory Data Analysis Courses With (And Teach Statistical Literacy With Epidemiology! Without) R FDaniel T Kaplan, Macalester College, 1600 Grand Ave., Saint FJohn Emerson, Yale University, P.O. Box 208290, New Haven, Paul, MN 55105 USA, [email protected] CT 06520-8290 USA, [email protected] Key Words: statistical literacy, epidemiology, education, undergradu- Key Words: introductory statistics, data analysis, computing, soft- ate ware, education For the last two years, I have been teaching an undergraduate epidemi- This roundtable focuses on introductory data analysis courses intended ology course at Macalester College. It has no pre-requisites and, from primarily for undergraduate students. Such a course can be an alterna- the very beginning, was popular with students. Epidemiology provides tive to a traditional introductory statistics course, but is more likely a wonderful setting for teaching many important concepts relating to to serve as a second course in statistics. The roundtable will provide a statistical literacy. The setting is very compelling to students and helps forum for discussion of existing or planned courses in this area, includ- to inform both their professional choices and future personal health- ing the choice of computing platforms. care choices. Most of the issues that arise in statistical literacy courses are important in epidemiology, but it has a much more grounded no- tion of causation. In this round-table, I’ll present the outline of the course, some of the quantitative and statistical activities we do, and Section on Statistical Consulting the “Epidemiology 101” recommendations in the CCAS “Consensus 267 Report on Public Health and Undergraduate Education.” Then we can A.M. Roundtable Discussion (fee event) discuss how epidemiology might fit in at your own institution. Section on Statistical Consulting Tuesday, August 2, 7:00 a.m.–8:15 a.m. Using R In Introductory Statistics Courses FAmy Wagaman, Amherst College, 01002, awagaman@amherst. Statistical Consulting As A Career Path edu FCarlos Alzola, Data Insights Inc., , [email protected]; FAnamaria Segnini Kazanis, ASKSTATS Consulting LLC, 24284 Key Words: R, introductory statistics Woodham Rd., Novi, MI 48374 USA, [email protected] This roundtable will discuss the benefits and challenges of using R as Key Words: Statistical Consulting, Statistical Career, Statistical Ca- the statistical computing software in introductory statistics courses. reer Path, Statistical Apprenticeship, Statistical Internships Examples of user-friendly GUIs including R Commander and Rattle will be discussed as well as activities for students and student reac- Statistics is a field rife with opportunity. Statistics professionals and tions to the software in classroom environments with and without the expertise are needed in all sorts of fields and industries. Statisticians GUIs. are hired by government agencies (Census Bureau, Federal Reserve, FDA, NIH, NIST to name a few), pharmaceuticals, financial, mar- ket research companies among other. They work in fields as diverse as economics, survey research, quality control in industrial processes and Section on Statistics and the even study human rights violations. A statistical consultant is expected 269 to be an expert in his field and also to be intimately familiar with the Environment A.M. Roundtable Discussion industry in which he/she is consulting. For that reason, entry level posi- (fee event) tions are hard to come by. Initial apprenticeship usually starts during Section on Statistics and the Environment graduate school in university sponsored centers for statistical consul- tation and/or college internships. An aspiring consulting statistician Tuesday, August 2, 7:00 a.m.–8:15 a.m. needs to develop an area of expertise in addition to his/her statistical training that will be of interest to a potential client. This round table Statistics For Wind Energy will discuss opportunities and options for the young (and and not so FMarc G. Genton, Texas A&M University, Department of young)statistics professional in consulting. Statistics, TAMU, College Station, TX 77843-3143 USA, genton@ stat.tamu.edu Key Words: Energy, Forecast, Spatial statistics, Time series, Wind Global large scale penetration of wind energy is accompanied by signif- icant challenges due to the intermittent and unstable nature of wind. High quality short-term wind speed forecasting is critical to reliable ✪ Themed Session ■ Applied Session ◆ Presenter and secure power system operations. We will discuss how statistical and interactive graphics will be used. Emphasis will be placed on the techniques can enable wind energy