Advanced analytics root out COVID-19 relief fraud

With machine learning, risk scoring and automation, agencies can effectively identify fraud, waste and abuse in pandemic relief.

What's your data maturity? Assessment tool benchmarks data practices, suggests next steps

Data.org's free assessment survey measures data practices across 10 areas, including infrastructure, security and strategy.

Revamping Mobility With a Renewed Focus on Communities

COMMENTARY | As cities move back to pre-pandemic lifestyles, government and industry must come together and drive mobility toward a more sustainable and equitable future.

3 Edge Computing Models for Integrated, Responsive Smart Cities

Edge computing will first be in private 5G deployments where massive amounts of data need low-latency processing, experts say.

This State Plans to Invest $68M in Highway-centric Broadband Program

Arizona's expansion of the middle-mile network will make it easier to extend high-speed access to communities along the interstates.

Agencies Shouldn't Use Facial Recognition for ID Verification, Group Says

More than 45 organizations signed a letter asking government agencies, including in states, to stop their use of ID.me or any facial recognition for identity verification.

Why data-driven decision making is harder than it looks

Producing digestible data to drive more effective decision-making means getting both technology and policies on the same page, a new study shows.

Democratic Senators Call for $5B in Federal Funds for Election Security

The money would go to cities and counties to modernize outdated equipment and upgrade cybersecurity.

Missouri maps COVID in wastewater

The Sewershed Surveillance Program gets samples from more than 100 locations – covering more than half the state's population – to create maps that help decision-makers monitor trends in the spread of the virus.

Report: Broadband Expansion Depends on Reliable Data

A new report highlights the importance of baseline data with case studies of cities and states bridging the digital divide.

Think Twice Before Scanning That QR Code

“Cybercriminals always look for disruption to cause disruption.”

Cybersecurity Primer for Local Leaders

The Center for Technology in Government has created a basic, no-nonsense guide to help governments identify, respond to and recover from security breaches.

Rooting out fraud in government programs

Machine-learning helps spot fraud, waste and abuse because it can not only automatically check massive amounts of data for signs of sketchy activity but also improve over time.

Seattle takes on double parking with curbside data

An open-source specification that shares curbside data on loading zones will help the city reduce congestion and make it easier for delivery drivers to find usable spaces.

Paper Shortage for Ballots Could Pose Difficulties for Elections

Ballots and other materials require special high-quality paper that some communities may find in short supply, experts warn.

Technology is revolutionizing how intelligence is gathered and analyzed – and opening a window onto Russian military activity around Ukraine

Government analysts are filling the need for intelligence assessments using information sourced from across the internet instead of primarily relying on classified systems or expensive sensors high in the sky or arrayed on the planet.

FBI: Ransomware Attackers Have Code to Halt Critical Infrastructure

Monitoring remote access technology will be especially important for limiting the reach of malicious actors, allied cybersecurity agencies said in a report on trends they’ve observed over the last year in a booming ransomware industry.

Evidence-based policing platform boosts state police effectiveness

A SAS platform aggregates and analyzes data from multiple sources and enables role-based access to organizational data, traffic citations, criminal incidents and statewide calls for law enforcement service.

Sensor, satellite data help map, predict heat islands

A community project to map urban heat in North Carolina sent volunteers out to collect sensor data, which was then used – in combination with satellite imagery and machine learning -- to create predictive surface temperature maps.

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