

Can Data Scientists Produce Fair and Accurate Recidivism Forecasts?

The U.S. National Institute of Justice’s (NIJ) “Recidivism Forecasting Challenge” (the Challenge) aims to increase public safety and improve the fair administration of justice across the United States. The Challenge offers an opportunity for contestants to win prize money totaling over $700,000 for their development of a recidivism forecasting model using data provided by NIJ. The winning Challenge forecasts will be used to help improve recidivism rates, the likelihood of a past criminal offender to reoffend, and inform policies and practices.

Using Analytics to Minimize Serious Injuries and Fatalities

In this special guest feature, Dag Yemenu, Executive Vice President of Products at ISN, discusses the rise of data analytics in contractor management and safety, and how this technology can help employers better understand the events related to SIFs, where they’re happening, the type of contractor that is typically affected and how to use this information to better train workers and reduce SIFs.

Why Defense Needs to Tap into Big Data

In this special guest feature, Jim Tootell, Chief Software Architect at PMAT, discusses the importance for the defense industry to tap into big data technology. Since Big Data, AI, and ML are already impacting the Defense industry’s future, the potential for delivering true “All Source” intelligence in a timely manner is within grasp. This transition means the future of Defense is finally starting to catch up to the rest of today’s data-driven world.

Preventing Police Brutality with Body Cam Footage and Early Warning Systems

In this special guest feature, Dr. Anirudh Ruhil, Leadership and Public Affairs Director and Professor in the online Master of Public Administration program at Ohio University, discusses how data can be better utilized for public safety, and how it might be used to combat police brutality. Certainly, eradicating police brutality will require a long-term, comprehensive approach in which education, awareness, and training must all play central roles. But in the meantime early intervention systems that incorporate body cam footage, with third party monitoring, can go a long way towards reducing incidents of police misconduct.

The Data Governments are Using AI to Fight COVID-19 in Africa and Asia

Fraym is using artificial intelligence and machine learning to help aid organizations in Africa and South Asia identify populations at risk due to Covid-19 using new geospatial visualizations.

COVID-19: The Great Artificial Intelligence Accelerator

In this contributed article, Ramayya Krishnan, Ph.D., the W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at Heinz College and the Department of Engineering and Public Policy at Carnegie Mellon University, discusses how history shows, COVID-19 is likely to further reinforce the profound impact technology and AI have on our daily life. As long as we can collectively prepare for and embrace this reality – all indicators point to a promising future.



A Computational Analysis of Constitutional Polarization

A new paper, “A Computational Analysis of Constitutional Polarization” by Columbia Law School’s David Pozen and Eric Talley found that the U.S. Constitution has come to enable, or even exacerbate, partisan strife. The researchers recently examined the evolution of constitutional rhetoric on the floor of Congress from 1873 to 2016.

How Compliance Officers Can Get Some Much-Needed Rest

In this special guest feature, Peter Duthie, Co-CEO and Chief Architect for Ground Labs, discusses how to address data security at the c-suite level and why data discovery initiatives are the best way to combat security challenges and remain compliant.

How AI Is Being Used to Assist U.S. Veterans

In this contributed article, tech blogger Caleb Danziger outlines how AI can be used in every sector, including in the government and even Veterans Affairs, or the VA. With the limitless uses of AI, the United States VA is turning it into a tool to help the country’s veterans in many different ways. The VA didn’t have to change how AI worked to make it useful though. Instead, they embraced the AI we use in our everyday lives and shaped it into something a little more specific.