I am a government professional with leadership, open data external engagement, website content, project management, editing/writing and patent examination experience. In the spring of 2016, I began a Masters of Science in Data Science from Indiana University and plan to graduate in May 2018. This blog covers a wide range of data topics presented with a non-technical audience in mind.

Laura H. Kahn

lkahn@indiana.edu | @LauraHKahn  | GitHub


Indiana University, M.S. Data Science Candidate, January 2016 – present
North Carolina State University, B.S. Textile Engineering and B.A. Spanish, August 1999 – May 2004
Universidad de Santander – Study Abroad, Spanish, September – December 2003
Universidad Technológica del Perú – Study Abroad, Spanish, June – August 2001


Use of Artificial Neural Networks to Predict Poverty Indicators
Predicting country-level poverty indicators with results ranking in the top 20% of the crowd-sourced competition

Algorithmic Trading of Coffee Futures with Machine Learning
Predicting daily coffee futures prices with prediction error six times more accurate than existing research

Morning Joe: Visualizing Coffee Rust, Production and Futures
New research to quantify and visualize the relationship between coffee rust, production and futures prices.

Show me the Money: Forecasting Economic Aid with Machine Learning
Predicting economic aid disbursements with machine learning; Poster presented at the O’Reilly Media Jupyter Conference in August 2017.

Spatiotemporal Twitter Analysis of the Venezuelan Food Crisis
Predicting lexicon at the municipality level from Spanish Tweets with machine learning; Abstract presented at Second International Food Security and Sustainability Conference in June 2017.

Energy Use in the Middle East
Data munging, interpretation and visualization of energy consumption.

Data Science in 90 Seconds – YouTube monthly series that explains key data science principles in plain language for a general audience.


Python, Machine learning, Data manipulation (scikit-learn, Pandas) and mining; R; Natural Language Processing; Univariate Statistics; D3 JavaScript Library; Tableau


Kahn, L. Spatiotemporal twitter analysis of the Venezuelan food crisis. Journal of Food Processing Technology, 8:5. DOI: 10.4172/2157-7110-C1-062, p. 51. Abstract presented at the 2nd International Conference on Food Security and Sustainability. https://www.omicsonline.org/conference-proceedings/2157-7110-C1-062-011.pdf


Lead for developing a white paper on data quality; Web content editing using Google Analytics and Drupal, translating technical subject matter into plain language for customers; managing information as a resource; conducting research as a biomedical patent examiner at the United States Patent & Trademark Office (2004-present).


The findings, interpretations and conclusions expressed herein are those of the author. All content provided on this blog is for informational purposes only.

The author does not make representations as to the completeness of any information on this site or found by following any link on this site. The author will not be liable for any errors or omissions in this information nor for the availability of this information.

Many of the links on this blog will take you to sites operated by third parties. The author does not endorse these sites, their opinions, or any products they may offer. These third party links are offered to stimulate discussion and thinking on topics related to open governance, including, transparency, accountability, citizen participation and technology and innovation.

All of the content on this blog is intended for the personal, non-commercial use of our users.


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