The 2024 Conference on Statistical Practice will take place in New Orleans, Louisiana, from February 27–29. The presentations, short courses, tutorials, and plenary presentations will provide an opportunity to learn about the latest statistical techniques, methodologies, and best practices. Additionally, sessions are tailored to all skill levels and interests.
With its focus on the application of statistics to solve real-world problems, CSP brings together hundreds of statisticians, data analysts, researchers, and scientists each year to focus on the following four key themes relevant to those working in the application of statistics and data science in their daily work:
- Career, Professional, and Leadership Development
- Effective Communication
- Implementation and Analysis
- Study Design and Data Management
In addition to sessions, CSP offers free practical computing demonstrations and short courses and tutorials (for an additional fee). Interested in mentoring or being mentored? CSP also offers a mentor-matching system.
Cynthia Rudin will give the keynote presentation, “Simpler Machine Learning Models for a Complicated World.” Rudin is the Earl D. McLean Jr. Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, Biostatistics, and Bioinformatics at Duke University. She directs the Interpretable Machine Learning Lab with the goal of designing predictive models people can understand. Her lab applies machine learning in areas such as health care, criminal justice, and energy reliability.
Ji-Hyun Lee, ASA president-elect, will moderate the closing session and—with the help of the audience—consider the possibility of establishing a journal devoted to practicing statisticians.
Gain knowledge, connect, collaborate, and experience the “Big Easy” at CSP.
Email questions to meetings@amstat.org.
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