Improving Mission Effectiveness with Artificial Intelligence and Data Science 

Data Society stands ready to work with our nation’s vital civil agencies that keep the country running.

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How We’re Transforming

Mission-Focused Training

Our data science educators train government employees on how to perform applied data analysis with real-world data sets specifically chosen and structured to reflect the issues and opportunities of individual students, to help federal agencies tackle important policy problems by using modern computational and data analysis methods and tools. 

Mission-Focused Solutions

Our skilled software developers, modelers, systems designers, data scientists have worked in many of the most demanding federal missions, including revenue, regulation, and homeland security. We bring the systems, tools, and techniques to help Federal Civil agencies make the best use of their data, increase mission effectiveness, and reduce costs.

Mission-Focused Training

Making Data Work for HHS

The Department of Health and Human Services wanted to ensure that employees had the ability to frame questions in a scientifically sound manner and use data analytics to answer them. Data Society assisted HHS and developed two sets of tailored 8-week programs (64 hours of instruction each) for HHS staff using R and Python.

Check out the HHS Data Science CoLab

 

IDB Text Mining

Mission-Focused Solutions

IDB Text Mining 

Through an iterative process and a joint effort with the IDB team, Data Society helped the IDB define 12 locations across Latin America with appropriate radii and language of tweets to demonstrate a proof of concept analysis.

A Support Vector Machine classifier was used to build a model that tagged ‘tweets’ as migration-related. We compared the model’s tweets to all tweets in our English-only sample and produced a table with cosine similarity scores assigned to each tweet. This engine was further trained by ingesting media source information, including blog posts, news articles, and comment sections.
The IDB has now successfully built a sentiment analysis tool to categorize and collect tweets related to specific migrant groups. The results from these sentiment findings have become a trusted means of understanding the variability of trust between citizens and various Latin American governments.

What kind of data could you be using?

What kind of data should you be taking advantage of within the Federal Government’s vast sources and repositories? Use this link to explore data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more from 14 different domains.

Explore the U.S. Government’s open data platform

Benefits of Becoming Data-driven

Strengthen efficiency

Strengthen operational efficiency through enhanced service delivery, effective resource utilization, and cost containment. 

Mitigate Risks

Manage risks and future uncertainty related to cybersecurity, fraud, and compliance.

Predict Needs

Allocate resources with greater precision, forecast contract needs more effectively, and bolster strategic plans with predictive analytics

Drive Insights

Quickly and easily analyze large quantities of data to drive deeper insights whether ensuring that vital supplies get to emergency responders, or finding ways to monitor development funds so that they are put to the best use.

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Automate Processes

Streamline and automate complex, time-consuming, and data-intensive tasks so that the agency operates as efficiently as possible.

Our Work Examples

NASA - Machine Learning Program

We designed a five-day hands-on, intensive machine learning program that turned NASA employees into savvy data scientists with a solid foundation to tackle data cleaning, visualization, and modeling.

Inter-American Development Bank- Data Literacy Program

We developed a tailored 2-day data science course for its executives that covered the applications of data science relevant to the IDB, and how to interpret the results of analyses and visualizations correctly.

International Monetary Fund - Data Mining Tools and Projects

We worked with the IMF team to analyze cross-border payments, daily cash receipts to forecast annual receipts, and Google Trends searches to infer key areas of economic activity on a timely basis. These analyses provided vastly improved situational awareness of financial flows and confidence.

 Not ready to talk to us yet?

We get it. A data-driven culture is tackled one step at a time. Because of that, we’ve created a toolkit to start a conversation around transforming the way organizations approach data transformation and data training — download it, and let us know if you have any questions. You can always find us at hello@datasociety.com