NCIPC Data Science Training Fellowship
The NCIPC Data Science Training Fellowship is a training opportunity for masters- and PhD-level candidates. Fellows are appointed for a 1-year period, with renewal up to a maximum of 4 additional years.
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Train under the direction of CDC mentors from the Data Science Team and Office of Strategy and Innovation and have the opportunity to gain experience with data innovation projects in the center focused on priority topics such as suicide prevention, opioid overdose, and adverse childhood experiences.
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Use large-scale data sources and apply novel methods in machine learning, predictive modeling, natural language processing, network analysis, and data visualization, among others.The PHIFP is a 2-year program that provides on-the-job training in information science, computer science, and information technology.
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Have the opportunity to translate data science work into products for stakeholders, partners, and public audiences, including scientific publications and public-facing data visualizations.
The Injury Center also provides opportunities for individuals with a doctoral degree (MD, PhD, etc.) to gain experience in applied public health research and data science. The focus and nature of each training opportunity is unique. Please email firstname.lastname@example.org with any questions.
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Epidemic Intelligence Service (EIS):CDC’s 2-year EIS program is a training program for doctoral-level public health professionals. The Injury Center will offer data science focused EIS positions as part of EIS recruitment.
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Public Health Informatics Fellowship Program (PHIFP):The PHIFP is a 2-year program that provides on-the-job training in information science, computer science, and information technology.
- Sumner SA, Burke M, Kooti F. Adherence to suicide reporting guidelines by news shared on a social networking platform. Proc Natl Acad Sci USA. 2020
- Sumner SA, Bowen DA, Bartholow B. Factors Associated with Increased Dissemination of Positive Mental Health Messaging on Social Media. Crisis. 2019.
- Sumner SA, Haegerich TM, Jones CM. Temporal trends in online posts about vaping of cannabis products. Journal of Addiction Medicine. 2020.
- Sumner SA, Galik S, Mathieu J, Ward M, Kiley T, Bartholow B, Dingwall A, Mork P. Temporal and Geographic Patterns of Social Media Posts about an Emerging Suicide Game: Understanding Opportunities for Early Detection. Journal of Adolescent Health. 2019.
- Bowen DA, O’Donnell JK, Sumner SA. Increases in Online Posts About Synthetic Opioids Preceding Increases in Synthetic Opioid Death Rates: a Retrospective Observational Study. Journal of General Internal Medicine. 2019.
- Bowen DA, Wang J, Holland K, Bartholow B, Sumner SA. Conversational topics of social media messages associated with state-level mental distress rates. Journal of Mental Health. 2020;29(2):234-241.
- Nataraj N, Zhang K, Guy Jr GP, Losby JL. Identifying opioid prescribing patterns for high-volume prescribers via cluster analysis. Drug and alcohol dependence. 2019 Apr 1;197:250-4.
- Bowen DA, Mercer-Kollar LM, Wu DT, Fraser DA, Flood CE, Moore JC, Mays EW, Sumner SA. Ability of Crime, Demographic, and Business Data to Forecast Areas of Increased Violence. International Journal of Injury Control and Safety Promotion. 2018 Dec;25(4):443-448.
- Goldstick J, Carter PM, Walton MA, Dahlberg LL, Sumner SA, Zimmerman MA, Cunningham RM. Development of the SAFETY Score: A Machine Learning Approach to Identifying a Clinical Screening Tool For Future Firearm Violence Risk. Annals of Internal Medicine. 2017 May 16;166(10):707-714.
- Wu DT, Moore JC, Bowen DA, Mercer-Kollar LM, Mays EW, Simon TR, Sumner SA. Proportion of violent injuries unreported to law enforcement. JAMA Internal Medicine. 2018 Nov 12.