**CalgaryR** is looking for a **voluntary speaker** who would like to provide a tutorial, introduce an interesting problem, or build a partnership to work together. The examples are as below:

- Applications of statistical modelling, data mining, and machine learning techniques
- Anything that R cannot do or R is not efficient on your work
- Techniques needed for big data analysis, management, and data cleaning, etc
- Software engineerning needed for integrating R in other environment, objective-oriented programming, package development and documentation, debugging, and interfacing with other languages, etc.
- Advanced techniques in reproducible research, parallel computing, scientific computing, and operational research, etc.
- Viusalization method and communication

Please contact one of organizers to request a topic. We are searching for speakers

- Disease mapping
- Building a package
- Data management and preprocessing
- Outbreak detection
- Text-mining
- Time-series analysis
- Population size estimation
- Parallel computation
- Collaborative work using GitHub
- Interfacing C++ with R
- Machine learning topics
- Decision tree
- Naive Bayes
- Neural network
- Random Forest

- Social network analysis
- Practical implementation of model evaluation
- cross-validation

- Predictive modeling
- modern regression model techniques
- logistic regression

- Visualization techniques
- Quality control
- Latent class or mixture modeling
- model-based classification techniques
- latent class model / finite mixture model
- latent trajectory analysis / finite regression model

- Sports data analysis
- Probability models
- Imaging process
- Signal analysis
- Agreement between two measurement systems
- Advanced data cleaning and management techniques
- R on high performance computing environment
- Sample size calculation

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