Statisticians are increasingly becoming involved in data science and data analysis projects with organizations that address various "social good" causes, including public health and safety, social justice, criminal justice, and environmental issues.  

We've compiled a list of summer programs that involve statistics students with this work.  The deadlines for these programs are coming up soon, so be sure to take a look at these soon if you're interested!  These programs usually offer participants stipends that pay for room, board, and travel expenses.  Stat Alliance may also be able to help find CSU participants additional funds if needed.

The American Statistical Association (ASA) has published a large list of statistics internships that various government organizations, laboratories, and companies are offering in 2017.  Check it out! These are not all just summer internships, and not all just for undergraduate students.
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http://stattrak.amstat.org/2016/12/01/2017internships/

10:30-3:30 on 14 February 2017 in  the LSC Grand Ballroom.  https://career.colostate.edu/events#/?i=1

​Searching for jobs is hard, but this is a good way to see who is hiring statisticians and to meet people you could be working with.  This could help you personalize your job application or avoid applying to a job you're not going to enjoy.

Kaggle data analysis competition; entries due by 12 April 2017.  
​https://www.kaggle.com/c/data-science-bowl-2017#description

Kaggle lets businesses, governments, and organizations share their data with the public and ask for help answering real questions.  People organize into teams and submit answers.  Oftentimes, the team with the best answer receives (sometimes quite large) cash prizes.

The 2017 Data science bowl asks people to help develop algorithms that search for cancerous lesions in high-resolution lung scans.  The link above has more details about the project, competition rules, etc.  Various prizes for this competition range between $5,000 and $500,000.

6/5-7/17 at Colorado State University

(Copied from the CO-WY chapter of the ASA's conference announcement)

Statistical genomics and genetics have been growing remarkably fast and covering more and more topics in both fields. They are now essential parts of modern biological and medical research as well as important research topics within statistics. Exposure to and understanding of the motivating problems, newly-developed models and methods, and working protocols are extremely useful for researchers in the quantitative sciences, including bioinformatics, computer science and statistics. The goal of the conference is to provide an opportunity for quantitative scientists and practitioners in the biological sciences to generate and share ideas for new creative research in statistics and genomics or genetics; to exchange knowledge on frontier statistical methodologies for problems rising from genomics and genetics;  to stimulate professional networking opportunities; and to provide young researchers with exposure for their work.

​4 p.m. on 3/28/17. ​https://www.youtube.com/watch?v=Zf9ViSIOHfE

4 p.m. on 2/28/17.  ​https://www.youtube.com/watch?v=91o80BisGHQ

Companies are being flooded with tsunamis of data collected in a multichannel business environment, leaving an untapped potential for analytics to better understand, manage and strategically exploit the complex dynamics of customer behavior. In this webinar, we will start by providing a bird’s eye overview of the analytics process model and then illustrate how to fully unleash its power in some example settings. We will review data as the key ingredient of any analytical model and discuss how to measure its quality. We will zoom into the key requirements of good analytical models (e.g. statistical validity, interpretability, operational efficiency, regulatory compliance etc.) and discuss emerging applications. The webinar will provide a mix of both theoretical and technical insights, as well as practical implementation details. The presenter will also extensively report on his recent research insights about the topic. Various real-life case studies and examples will be used for further clarification.
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