Communication Toolkit for Transportation Partners to Inform Road Travelers , released by the U.S. Centers for Disease Control and Prevention

The Alcohol and Other Drugs Committee's Centennial Paper to review what it has accomplished since its inception in the early 1970s, how it has evolved along with the field, and what challenges and opportunities it confronts going forward. To learn more about the history of impaired driving and the Standing Technical Committee on Alcohol, Other Drugs, and Transportation (ANB50), check out the Committee's Centennial Paper. As part of TRB's Centennial Celebration, the Technical Activities Council invited al...

Bimonthly newsletter released by the Institute of Transport Studies at Monash University

Research problem statements are now being accepted for the FY 2021 Transit Cooperative Research Program (TCRP). To submit a problem statement, first review and follow  the format in this outline . Problem statements may be submitted electronically . Previously submitted proposals may be resubmitted. The deadline for consideration is June 19, 2020.   TCRP is managed by TRB and sponsored by the U.S. Federal Transit Administration (FTA). TCRP works in partnership with the American Public Transport...

TRB's “Tell Us ‘Our’ Story" challenge is now looking into the future. What impact do you hope to have on the world and how is the Transportation Research Board helping you make that impact? What is your vision for the Transportation Research Board 100 years from now? What are solutions that you have identified as a result of research you learned about through TRB? TRB welcomes all stories: small or large, profound or light-hearted, sobering or humorous. In addition to posting responses to these questions...

As all aspects of transportation deal with the unfolding effects of the COVID-19 pandemic, there are research needs, gaps, and potential ways to leverage innovation revealing themselves across all modes, systems, and disciplines in transportation. In keeping with the mission of the National Academies of Sciences, Engineering, and Medicine to provide trusted, timely, impartial, and evidence-based information exchange and research, TRB is issuing an urgent and directed call for Research Needs Statements sp...

In 2017, when leadership at Seattle–Tacoma International Airport (Sea-Tac) decided to build a new International Arrivals Facility (IAF), they knew they had to leverage airport resources in a cost-effective manner to enhance customer experience. At nearly 50 years old, the existing facility could no longer accommodate Sea-Tac’s demand for international travel, which grew 107 percent from 2007 to 2017. The latest issue of the  TRB Airport Cooperative Research Program's (ACRP) Impacts on Practice serie...

Airports must maintain a safe and efficient facility while considering environmental impacts. Though traditional environmental challenges such as noise and water quality remain, several new themes are emerging, including energy management, sustainability, resiliency, and wildlife management. Airports will need guidelines and practices to help them address these pressing issues, and the first step in the process is to identify knowledge gaps and research needs. The TRB Airport Cooperative Research Program...

In an update on Twitter, Wilson Cruz and Scott Gamzon, Discovery editor, provided an update on the progress of the third season...

Doug Jones will be participating in the InHouse-Con this weekend, and while doing promotion for that, he answered questions in an interview...

If you’re fortunate enough to still be working during the coronavirus (COVID-19) pandemic, you are likely to be doing so from home. Teleworking (or telecommuting) has been suddenly and widely adopted. For example, Arizona DOT reports doubling the number of employees who telework in multiple departments in just two weeks. In conjunction with Texas' disaster declaration related to COVID-19, TxDOT is also requiring its office-based employees to telework beginning March 16. Your workplace is likely making si...

TRB's “Tell Us ‘Our’ Story" challenge is now looking into the future. What impact do you hope to have on the world and how is the Transportation Research Board helping you make that impact? What is your vision for the Transportation Research Board 100 years from now? What are solutions that you have identified as a result of research you learned about through TRB? TRB welcomes all stories: small or large, profound or light-hearted, sobering or humorous. In addition to posting responses to these questions...

As all aspects of transportation deal with the unfolding effects of the COVID-19 pandemic, there are research needs, gaps, and potential ways to leverage innovation revealing themselves across all modes, systems, and disciplines in transportation. In keeping with the mission of the National Academies of Sciences, Engineering, and Medicine to provide trusted, timely, impartial, and evidence-based information exchange and research, TRB is issuing an urgent and directed call for Research Needs Statements sp...

The University of Texas at Austin is hosting Bridging Transportation Researchers (BTR) Online Conference  on August 11-12, 2020. TRB is pleased to cosponsor this event. This zero-carbon, zero-cost conference will host multiple Zoom-based tracks to virtually and globally unite transportation engineers, planners, and policymakers to discuss a wide range of transportation research topics and results, including: Multi-modal transportation network and systems Travel demand forecasting, including connecte...

The risk of disease transmission at airports and on aircraft is similar to the risks associated with other densely populated places. There are also unique factors related to the interaction of individuals from geographically diverse regions with differing immunity and endemic diseases. The TRB Airport Cooperative Research Program's ACRP Report 91: Infectious Disease Mitigation in Airports and on Aircraft offers guidance for mitigating the risk of disease spread via droplet, airborne, and contact at airpo...

Additional new series for the 2020-2021 season will be announced at a later date.

The show's final season kicks off Wednesday, May 20.

Season two will exclusively stream on Amazon Prime Video in more than 200 countries and territories worldwide.

The top real estate brokers at The Oppenheim Group are back and this season, the ladies deal with even more mind-blowing mansions, shocking new romances, and explosive truths that will change their lives, relationships and careers forever.

Initially, the new season was slated to premiere Wednesday, June 17.

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A University at Buffalo-led research team is studying the details of how enzymes perform their job. The focus of the project is on understanding the molecular interactions that enable enzymes to accelerate chemical reactions.

Given all we know about facial recognition tech, it is literally jaw-dropping that anyone could make this claim… especially without being vetted independently.

A group of Harrisburg University professors and a PhD student have developed an automated computer facial recognition software capable of predicting whether someone is likely to be a criminal.

The software is able to predict if someone is a criminal with 80% accuracy and with no racial bias. The prediction is calculated solely based on a picture of their face.

There's a whole lot of "what even the fuck" in CBS 21's reprint of a press release, but let's start with the claim about "no racial bias." That's a lot to swallow when the underlying research hasn't been released yet. Let's see what the National Institute of Standards and Technology has to say on the subject. This is the result of the NIST's examination of 189 facial recognition AI programs -- all far more established than whatever it is Harrisburg researchers have cooked up.

Asian and African American people were up to 100 times more likely to be misidentified than white men, depending on the particular algorithm and type of search. Native Americans had the highest false-positive rate of all ethnicities, according to the study, which found that systems varied widely in their accuracy.

The faces of African American women were falsely identified more often in the kinds of searches used by police investigators where an image is compared to thousands or millions of others in hopes of identifying a suspect.

Why is this acceptable? The report inadvertently supplies the answer:

Middle-aged white men generally benefited from the highest accuracy rates.

Yep. And guess who's making laws or running police departments or marketing AI to cops or telling people on Twitter not to break the law or etc. etc. etc.

To craft a terrible pun, the researchers' claim of "no racial bias" is absurd on its face. Per se stupid af to use legal terminology.

Moving on from that, there's the 80% accuracy, which is apparently good enough since it will only threaten the life and liberty of 20% of the people it's inflicted on. I guess if it's the FBI's gold standard, it's good enough for everyone.

Maybe this is just bad reporting. Maybe something got copy-pasted wrong from the spammed press release. Let's go to the source… one that somehow still doesn't include a link to any underlying research documents.

What does any of this mean? Are we ready to embrace a bit of pre-crime eugenics? Or is this just the most hamfisted phrasing Harrisburg researchers could come up with?

A group of Harrisburg University professors and a Ph.D. student have developed automated computer facial recognition software capable of predicting whether someone is likely going to be a criminal.

The most charitable interpretation of this statement is that the wrong-20%-of-the-time AI is going to be applied to the super-sketchy "predictive policing" field. Predictive policing -- a theory that says it's ok to treat people like criminals if they live and work in an area where criminals live -- is its own biased mess, relying on garbage data generated by biased policing to turn racist policing into an AI-blessed "work smarter not harder" LEO equivalent.

The question about "likely" is answered in the next paragraph, somewhat assuring readers the AI won't be applied to ultrasound images.

With 80 percent accuracy and with no racial bias, the software can predict if someone is a criminal based solely on a picture of their face. The software is intended to help law enforcement prevent crime.

There's a big difference between "going to be" and "is," and researchers using actual science should know better than to use both phrases to describe their AI efforts. One means scanning someone's face to determine whether they might eventually engage in criminal acts. The other means matching faces to images of known criminals. They are far from interchangeable terms.

If you think the above quotes are, at best, disjointed, brace yourself for this jargon-fest which clarifies nothing and suggests the AI itself wrote the pullquote:

“We already know machine learning techniques can outperform humans on a variety of tasks related to facial recognition and emotion detection,” Sadeghian said. “This research indicates just how powerful these tools are by showing they can extract minute features in an image that are highly predictive of criminality.”

"Minute features in an image that are highly predictive of criminality." And what, pray tell, are those "minute features?" Skin tone? "I AM A CRIMINAL IN THE MAKING" forehead tattoos? Bullshit on top of bullshit? Come on. This is word salad, but a salad pretending to be a law enforcement tool with actual utility. Nothing about this suggests Harrisburg has come up with anything better than the shitty "tools" already being inflicted on us by law enforcement's early adopters.

I wish we could dig deeper into this but we'll all have to wait until this excitable group of clueless researchers decide to publish their findings. According to this site, the research is being sealed inside a "research book," which means it will take a lot of money to actually prove this isn't any better than anything that's been offered before. This could be the next Clearview, but we won't know if it is until the research is published. If we're lucky, it will be before Harrisburg patents this awful product and starts selling it to all and sundry. Don't hold your breath.