Midwest Big Data Summer School

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2020 Midwest Big Data Summer School

To be held in May 2020.  More details will be available soon! 

2019 Midwest Big Data Summer School

The 2019 Midwest Big Data Summer School for Early Career Researchers will be held from May 20-23, 2019 in Ames, Iowa. This summer school is designed as an intensive curriculum aimed at practitioners and researchers to get them started in data-driven research and development. The school will include full-day lectures on topics ranging from: data acquisition, data preprocessing, exploratory data analysis, descriptive data analysis, data analysis tools and techniques, visualization and communication, ethical issues in data science, reproducibility and repeatability, and understanding of domain/context.

The last day of the summer school consists of tracks where each individual track focuses on a subarea of big data analysis. This year's tracks include Foundations of Data Science, Software Analytics, Digital Agriculture, Big Data Applications, and Data Science for Public Good. Each track consists of tutorials and invited lectures that highlight current research methodologies and challenges. 

Invited Speakers:

 

2018 Midwest Big Data Summer School

The 2018 Midwest Big Data Summer School for Early Career Researchers was held from May 14-17, 2018 in Ames, Iowa.  The school included full-day lectures on topics ranging from: data acquisition, data preprocessing, exploratory data analysis, descriptive data analysis, data analysis tools and techniques, visualization and communication, ethical issues in data science, reproducibility and repeatability, and understanding of domain/context.

The last day of the summer school consists of tracks where each individual track focuses on a subarea of big data analysis.  Foundations of Data Science, Software Analytics, Digital Agriculture, and Big Data Applications were different tracks in the 2018 Summer School.

Invited Speakers:

 

2017 Midwest Big Data Summer School

The 2017 Midwest Big Data Summer School for Early Career Researchers was held from July 10-14, 2017 in Ames, Iowa. This summer school was designed as a one week, intensive curriculum aimed at early career researchers to get them started in data-driven research. The school included full-day lectures on topics ranging from: data acquisition, data preprocessing, exploratory data analysis, descriptive data analysis, data analysis tools and techniques, visualization and communication, ethical issues in data science, reproducibility and repeatability, and understanding of domain/context.

The last two days of the summer school consists of tracks where each individual track focuses on a subarea of big data analysis. The Summer School years tracks included Foundations of Data Science, Software Analytics, and Digital Agriculture. Each track consists of tutorials and invited lectures that highlight current research methodologies and challenges. Participants can choose a track that they wish to attend.

Invited Speakers:

2016 Midwest Big Data Summer School

The first Midwest Big Data Summer School for Early Career Researchers was held from June 20-24, 2016 in Ames, Iowa. This summer school was designed as a one week, intensive curriculum aimed at early career researchers to get them started in data-driven research. The school included full-day lectures on topics ranging from: data acquisition, data preprocessing, exploratory data analysis, descriptive data analysis, data analysis tools and techniques, visualization and communication, ethical issues in data science, reproducibility and repeatability, and understanding of domain/context.

Invited Speakers:

 

 

 

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