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George Mason researcher is using AI to identify human trafficking hot spots

Katelynn C Hipolito — Mon, 29 Sep 2025 18:20:46 +0000

George Mason researcher is using AI to identify human trafficking hot spots Katelynn C Hipolito Mon, 09/29/2025 - 14:20

Illicit massage businesses (IMBs) run by human trafficking rings are rampant in the United States. A �� professor has helped build what may be the best artificial intelligence (AI)-driven tool to root them out.

Human trafficking rings are at their most dangerous when they masquerade as legitimate commercial activity. IMBs are one of the most common ways in which exploitive networks operate in plain sight.

The Network, an anti-trafficking nonprofit, estimates that there are more than 13,000 IMBs active in the United States, raking in annual total revenue of more than $5 billion.

Abhishek Ray

“You are stuck in a massage business. You’re not allowed to go out,” says Abhishek Ray, assistant professor of information systems and operations management at the Donald G. Costello College of Business at George Mason, describing the plight of IMB workers. “Your passports are taken away, and you’re supposed to do a certain amount of business every day and give the money to the trafficker. It’s a really abhorrent form of abuse.”

Ray is one of a growing group of researchers exploring how various forms of AI could help resource-constrained law enforcement agencies differentiate between IMBs and the legitimate enterprises they try to mimic. His ongoing research using graph neural networks has yielded more promising results than rival approaches, when put to the test in a recent experiment.

His co-researchers on the IMB project are Lumina Albert and Swetha Varadarajan of Colorado State University.

According to Ray, “Graph neural networks are just a fancy way of saying that if I get a graph of a city or locality at one point in time, and I add data to it, can I predict future patterns on this graph if I know the past?”

This approach made sense for detecting IMBs, because try as they might to appear above board, they have geographical needs that conventional businesses don’t. “IMBs don’t allow their trafficked employees to go out of the parlor,” Ray says. “But since they’re humans, they need sustenance. They have to be near groceries, gas stations, where they can get stuff and come back.”

The researchers combined several graph neural networks into a framework called IMBWatch. The training data-set for IMBWatch comprised publicly available information such as online customer reviews, arrest and raid data for known IMBs, and advertisements from websites promoting illicit activities (e.g., the infamous Backpage). The result, in essence, was a series of snapshots mapping the evolution of the IMB network in a given city or county over a period of time. This could then be overlaid on geographical maps to tease out hidden patterns.

To gauge IMBWatch’s relative performance, the researchers let it loose on a testing data-set alongside four other AI models, which were not as sensitive to the nuanced interplay of spatial and temporal factors. Of the five models, IMBWatch provided the most accurate, precise and informative predictions. In other words, it outperformed the others at spotting IMBs among a larger mass of local businesses.

While encouraging, these outcomes require further confirmation with a larger data-set. “IMBWatch was trained on data from Georgia and Louisiana, not the entire United States,” Ray says. “These were small, manageable data-sets, but we will now scale up to major states such as New York and California.”

The researchers are also looking at enhancing IMBWatch with data related to how workers end up wandering into trafficking webs. These might include “proximity to hospitals, religious places, etc. because a lot of times people are coerced by religious compulsions, or because they’re pregnant and need some care,” Ray says.

This is not Ray’s first foray into the field of AI-fueled anti-trafficking. Previously, Ray co-developed a model for improving machine learning-based detection of human trafficking activity at transit stations and on fishing vessels.

However, law enforcement agencies and other pertinent stakeholders (e.g., business owners) are often wary of adopting AI-based solutions, due to a lack of trust in the technology. Ray and his co-researchers are currently devising a framework that will clarify how these stakeholders can work together with tech experts and, perhaps most importantly, human trafficking survivors to make the best possible use of AI.

“This qualitative piece is required to make sure that people who are on the sidelines, on the fences about using this actually start using it, because that’s the need right now,” Ray says.

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“Doing well by doing good”? There’s a framework for that

Jennifer Anzaldi — Wed, 02 Jul 2025 15:38:03 +0000

“Doing well by doing good”? There’s a framework for that Jennifer Anzaldi Wed, 07/02/2025 - 11:38

Today’s customers don’t just buy products—they buy into what a company stands for. It is no longer just low prices or flashy marketing that target the latest trends. Stakeholders are asking harder questions: Does this company treat its workers fairly? Are they harming the environment?

In a recent study published in the Journal of Brand Management, Russell Abratt, a marketing professor at the Costello College of Business at ��, tackles a key strategic challenge: How companies can move beyond shallow social and environmental messaging to meaningfully shift consumer perceptions. Joining Abratt on this research team are co-authors Emmanuel Silva Quaye of University of Witwatersrand and Nicola Kleyn of University of Pretoria.

Russell Abratt

When a brand is described as being true to themselves, holding values of fairness, a concern for society, and an obligation to goodness, it becomes what they call a conscientious corporate brand. These are brands who are trusted to do the right thing consistently and authentically.

But trust alone is not enough. Companies want to know: Does being conscientious also deliver better business outcomes?

Building on their 2023 work, which introduced a framework for developing conscientious corporate brands, the research team now offers empirical evidence that this framework not only enhances brand trust but also leads to the response companies are hoping for—responsible branding can drive tangible value.

“Firms in order to succeed these days really need to go beyond profits,” says Abratt. “You’ve got to be ethical in whatever you do. You’ve got to be socially aware. And you’ve also got to be very, very conscientious about what you are doing.”

To further investigate Abratt’s 2023 framework and understand what changes stakeholder perceptions, the researchers conducted two experiments with South African participants. Each participant was shown a scenario involving a fictional construction company: the control group highlighted traditional business goals such as efficiency and profitability, and the experimental group emphasized ethical leadership, social impact, and environmental sustainability. The results were striking.

“We saw very clearly the differences between the control group and the experimental group,” Abratt explains. Participants viewed the purpose-driven, socially engaged version of the company as significantly more conscientious, responsible, and authentic than the version focused purely on business efficiency.

Their research identified four elements in a chronological sequence that contribute to conscientious corporate branding: organizational purpose, brand authenticity, corporate social responsibility (CSR), and ethical organizational culture. These are not separate strategies; they reinforce each other.

The first element of this sequence is organizational purpose. A company must begin by defining why it exists beyond just profits. Next is authenticity. “Authenticity leads to trust,” says Abratt. “The more authentic that an organization is perceived to be, the more positive perceptions the stakeholders have.” The paper finds that authenticity acts as a bridge that connects an organization’s purpose to stakeholders’ perceptions of conscientious corporate branding.

Next is the third element: corporate social responsibility. This must be integrated, not performative. “Developing a corporate social responsibility strategy should be part of the organization’s overall strategy,” says Abratt. “It should not be seen as greenwashing, as added on and fake.”

Lastly, an ethical organizational culture is created by top leadership through example and prioritizing ethical values across the organization.

According to Abratt, “In order for a firm to say this is our purpose beyond profits, they’ve got to have a top leadership that says these are our values. This is what we stand for. Then that needs to be typicalized throughout the organization.”

So what does this mean for business leaders? It means that building a conscientious brand is no longer just a marketing strategy—it’s a business imperative. But the real challenge lies in making sure those sustainable actions resonate with consumers to ultimately result in success. Can companies do well by doing good?

Looking ahead, Abratt and his colleagues hope to expand their research to other industries and other countries or regions to test whether their results are generalizable to other contexts.

“Brands that have a purpose beyond profit are the ones that are going to be seen by stakeholders in a more positive light. And if they are seen in a more positive light, those stakeholders, especially customers, are likely to support that particular organization,” Abratt concludes.

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Nonprofits are in trouble. Could more sensitive chatbots be the answer?

Jennifer Anzaldi — Tue, 18 Mar 2025 14:48:25 +0000

Nonprofits are in trouble. Could more sensitive chatbots be the answer? Jennifer Anzaldi Tue, 03/18/2025 - 10:48

In today’s attention economy, impact-driven organizations are arguably at a disadvantage. Since they have no tangible product to sell, the core of their appeal is emotional rather than practical—the “warm glow” of contributing to a cause you care about. But emotional appeals call for more delicacy and precision than standardized marketing tools, such as mass email campaigns, can sustain. Emotional states vary from person to person—even from moment to moment within the same person.

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Siddharth Bhattacharya and Pallab Sanyal, professors of information systems and operations management at the Donald G. Costello College of Business at ��, believe that artificial intelligence (AI) can help solve this problem. A well-designed chatbot could be programmed to calibrate persuasive appeals in real time, delivering messaging more likely to motivate someone to take a desired next step, whether that’s donating money, volunteering time or simply pledging support. Automated solutions, such as chatbots, can be especially rewarding for nonprofits, which tend to be cash-conscious and resource-constrained.

“We completed a project in Minneapolis and are working with other organizations, in Boston, New Jersey and elsewhere, but the focus is always the same,” Sanyal says. “How can we leverage AI to enhance efficiency, reduce costs, and improve service quality in nonprofit organizations?”

Siddarth Bhattacharya. Photo provided

Sanyal and Bhattacharya’s working paper (coauthored by Scott Schanke of University of Wisconsin Milwaukee) describes their recent randomized field experiment with a Minneapolis-based women’s health organization. The researchers designed a custom chatbot to interact with prospective patrons through the organization’s Facebook Messenger app. The bot was programmed to adjust, at random, its responses to be more or less emotional, as well as more or less anthropomorphic (human-like).

“For the anthropomorphic condition, we introduced visual cues such as typing bubbles and slightly delayed response to mimic the experience of messaging with another human,” Sanyal says.

The chatbot’s “emotional” mode featured more subjective, generalizing statements with liberal use of provocative words such as “unfair,” “discrimination” and “unjust.” The “informational” modes leaned more heavily on facts and statistics.

Over the course of hundreds of real Facebook interactions, the moderately emotional chatbot achieved deepest user engagement, as defined by a completed conversation. (Completion rate was critical because after the last interaction, users were redirected to a contact/donation form.) But when the emotional level went from moderate to extreme, more users bailed out on the interaction.

The takeaway may be that “there is a sweet spot where some emotion is important, but beyond that emotions can be bad,” as Bhattacharya explains.

Pallab Sanyal. Photo provided

When human-like features were layered on top of emotionalism, that sweet spot got even smaller. Anthropomorphism lowered completion rates and reduced the organization’s ability to use emotional engagement as a motivational tool.

“In the retail space, studies have shown anthropomorphism to be useful,” Bhattacharya says. “But in a nonprofit context, it’s totally empathy-driven and less transactional. If that is the case, maybe these human cues coming from a bot make people feel creepy, and they back off.”

Sanyal and Bhattacharya say that more customized-chatbot experiments with other nonprofits are in the works. They are taking into careful consideration the success metrics and unique needs of each partner organization.

“Most of the time, we researchers sit in our offices and work on these problems,” Sanyal says. “But one aspect of these projects that I really like is that we are learning so much from talking to these people.”

In collaboration with the organizations concerned, they are designing chatbots that can cater their persuasive appeals more closely to each context and individual interlocutor. If successful, this method would prove that chatbots could become more than a second-best substitute for a salaried human being. They could serve as interactive workshops for crafting and refining an organization’s messaging to a much more granular level than previously possible.

And this would improve the effectiveness of organizational outreach across the board—a consummate example of AI enhancing, rather than displacing, human labor. “This AI is augmenting human functions,” says Sanyal. “It’s not replacing. Sometimes it’s complementing, sometimes it’s supplementing. But at the end of the day, it is just augmenting.”

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George Mason professor furthers impact of telemedicine in Ukraine

Jennifer Anzaldi — Tue, 14 Jan 2025 22:39:16 +0000

George Mason professor furthers impact of telemedicine in Ukraine Jennifer Anzaldi Tue, 01/14/2025 - 17:39

Ukraine’s health care system has been hit hard amid the ongoing war. Power outages, staffing shortages, and the destruction of hospitals have added up to a drastic reduction in available care for the already-vulnerable population. In a desperate attempt to bridge the gap, Ukraine’s Ministry of Health opened the country to telehealth solutions from overseas. But will these prove to be a successful substitute for at least some necessary services, or turn out to be no better than a tech Band-Aid?

Answering that question is where Mariia Petryk, assistant professor of information systems and operations management at the Costello College of Business at ��, comes in. In her spare time, she works as volunteer director of analytics for TeleHelp Ukraine (THU).

Mariia Petryk

Founded by a cross-disciplinary group of Stanford students shortly after the war’s inception, THU was designed to succeed where other telemedicine initiatives in crisis-affected areas have failed. The founders worked tirelessly to assemble an international volunteer network comprising medical professionals, translators, interpreters and administrative “health navigators.” Aware that medical consultations were only part of the patient journey, THU’s founders sought to address the entire continuum of care.

Petryk stresses that while the project originated at Stanford, the technical team included “people from Chicago, Boston, other California schools…some very active volunteers were in Australia, South Korea, Canada and other countries.”

Petryk, herself of Ukrainian descent, was honored to lend her data science expertise to this worthy project. As analytics director, she manages a dozen or so number-crunching volunteers who measured and documented THU’s impact upon Ukraine’s displaced population during the initiative’s first full year.

As Petryk explains, “The Russian invasion created a humanitarian crisis where a lot of people were internally displaced. And when people relocate to a new place, they don’t know where to go for health care. They also are at higher risk for many issues, including mental health problems. And they don’t know where to turn to treat chronic diseases they may have.”

THU’s primary focus during its first year was delivering much-needed services to this population of war-ravaged internal exiles.

Petryk’s analytical work gave rise to a recent case study of THU published in Journal of Global Health. The paper’s other lead author was Aditya Narayan, a Stanford medical student and THU’s director of implementation and evaluation.

Their findings describe some impressive early successes. THU facilitated more than 1,200 virtual patient appointments from May 2022 to May 2023 alone. Despite often-chaotic conditions, patient attendance rates were above 70 percent for nine of the 13 months studied. As the first year wore on, the THU team found ways to prevent no-shows—for example, employing the popular texting platform Viber to communicate with patients and assigning an individual health navigator to each patient.

Even more impressively, 96 percent of patients reported that their health complaints were at least partially resolved during their visit.

The paper argues that aspects of THU’s model could be adapted for use in other humanitarian contexts. In its initial growth phase, THU had access to advanced technological infrastructure and a wide network of medical providers, by dint of its academic origins. This implies that partnerships with academia could be critical to replicating THU’s success outside Ukraine.

Petryk remains proud of THU’s impact and her role in helping define it. “Based on actual appointments and how much that amount of care would cost at a hospital, THU delivered an estimated $1 million worth of services in its first 13 months,” she says.

Looking ahead to THU’s future, she says, “I can only wish to see this ‘start-up,’ as it were, go for the IPO.”

For more information and to explore volunteering opportunities, visit THU’s website.

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Are U.S. ‘news deserts’ hothouses of corruption?

Jennifer Anzaldi — Tue, 19 Nov 2024 16:35:27 +0000

Are U.S. ‘news deserts’ hothouses of corruption? Jennifer Anzaldi Tue, 11/19/2024 - 11:35

The March 24, 2021 edition of neighborhood newspaper Northeast News, out of Kansas City, Missouri, contained a surprise for its 9,000 subscribers. Where the front-page news should have been, there was a big, blank white space. This was no printer’s error, but a last-ditch cry for help. After 89 years in operation, Northeast News had found itself on the brink of insolvency due to the loss of key advertisers amid the COVID pandemic. The empty front page was designed to remind the community of what it would lose if its only local paper went under.

The gambit went viral, prompting a flood of online donations that is keeping the paper afloat, for now. Ironically, Northeast News owes its existence to the very force that has fueled the more general decline of local journalism in America—the internet.

Brad Greenwood

As advertiser dollars migrated to Facebook and Google, the business model that supported local newspapers for generations came to the edge of collapse. Since 2004, more than 2,500 American newspapers have ceased publication—around one-quarter of the total. Overall newspaper circulation has declined by more than half since 1990.

To be sure, digital alternatives have rushed in to fill the gap, such as citizen-journalist websites, nonprofit news organs, partisan blogs, etc. So, the question represented by the blank front page of Northeast News resonates: What do communities lose when newspapers fold that online journalism startups haven’t (so far, at least) been able to replace?

In the past, industry observers and researchers have linked community newspaper closure to diminished civic trust and political participation, among other negative effects. New research from Brad Greenwood, the Maximus Corporate Partner Professor of Business at the Costello College of Business at ��, builds on this discourse, finding evidence that when local papers topple, political corruption springs up in their wake.

Greenwood’s paper, coauthored by Ted Matherly of Tulane University, was published in MIS Quarterly.

The researchers focused on U.S. federal districts that lost a major daily newspaper during the years 1996 to 2019. They compared the number of corruption charges (bribery, embezzlement, fraud, etc.), defendants, and cases filed in district court before and after the newspaper closure. The results were striking: Overall, the disappearance of a newspaper delivered a 6.9% increase in charges, a 6.8% increase in the number of indicted defendants and a 7.4% increase in cases filed.

“We looked at federal charges for three reasons. First, the overwhelming amount of statutory enforcement occurs federally. Second, it gives us a uniform definition of what constitutes corruption across every domestic jurisdiction. Finally, and most importantly, federal conviction rates are over 90%,” Greenwood says. “They don’t charge people unless they have a good-faith belief they will prevail at trial.”

Moreover, post-newspaper corruption cases were more likely to go to trial as opposed to resolving in a plea deal, thus incurring greater public costs.

“In an age of misinformation, the solution is not rejecting the professional press, it is embracing it, and ensuring that well-trained and hard-working men and women have both the ability and venue to hold those in power to account."

Greenwood and Matherly also examined whether digital-era upstarts were adequate substitutes for newspapers, in terms of curtailing corruption. They tracked 352 such websites, and found they had no impact on the number of charges, defendants or cases in the districts concerned.

“While it’s hard to say precisely why we don’t see an effect from online news, there are several candidate explanations. Not only do citizen journalists lack the standing and training to tackle questions of public corruption and elevate discourse in the public square, but many of these sites aren’t even legitimate news vendors,” says Greenwood, referencing what are commonly referred to as “pink slime websites.”

Greenwood goes on to suggest that the corruption-preventing power of the defunct papers came not necessarily from journalistic acumen, but rather from the ability to elevate the actions bad actors had taken in public discourse, a process journalism researchers refer to as agenda setting.

Whatever the cause, the ramifications for society are very real. In the Northern District of Illinois alone, corruption-related cases involving more than 1,700 officials cost taxpayers a staggering $550 million per year from 1976 to 2012. The coffers of communities that lose newspapers may suffer more than most, since these cases tend to end up in expensive courtroom proceedings rather than plea deals.

Further, the study only looks at corrupt officials who got caught. Presumably, there are many more whose corruption went unpunished.

All told, these findings suggest that community newspapers should not be regarded as just another business model ill-adapted to digital disruption that should be allowed to fail. Their demise comes at significant public cost, financial and otherwise. “In an age of misinformation, the solution is not rejecting the professional press, it is embracing it, and ensuring that well-trained and hard-working men and women have both the ability and venue to hold those in power to account,” Greenwood says.

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How this summer’s heat waves may impact the economy

Greg Johnson — Tue, 06 Aug 2024 13:39:44 +0000

How this summer’s heat waves may impact the economy Greg Johnson Tue, 08/06/2024 - 09:39

This sweltering summer has brought record-breaking high temperatures to 63 countries, all but cementing 2024’s status as the world’s hottest year on record (even though we’re barely past the halfway point). Such extreme weather trends are bound to have serious implications for the environment, public health, and the economy.

Joseph (Han) Stice

Why, then, aren’t economic indicators flashing bright red? Joseph (Han) Stice, assistant professor of accounting at the Donald G. Costello College of Business at ��, has run the numbers on business and climate change. His recent working paper, co-authored by Marcus Kirk of University of Florida and Derrald Stice of University of Hong Kong, paints a picture of profound climate-related disruption underneath the placid-seeming surface of the economy.

For the years 1990 to 2020, the researchers compared quarterly sales performance from a large sample of U.S. firms to the temperature data at their base of operations. In this way, they constructed a measure of weather sensitivity, which they termed “weather beta,” for each company in the initial sample. Specifically, they were looking at whether sales either benefited or suffered when local temperatures were higher or lower than the “ideal” of 65 degrees Fahrenheit.

“What they—they being the people who examine temperature—say is that if it’s above 65, you turn on your air conditioning. If it’s below 65, you turn on your heater,” says Stice.

After restricting the sample to only those firms with discernible weather beta, they ended up with a data-set comprising 66,795 firm-quarters.

Across the sample as a whole, the results were a misleading nonstarter. Weather fluctuations did not seem to have an impact on economy-wide sales, one way or the other.

This was no surprise to Stice. Citing past research, he points out that “the overall economic effect is that colder weather is, on average, better. But that’s not true in every single instance. Some industries (i.e., agriculture) benefit from hot weather. And it also depends on what region you’re in, what time of year it is, etc.”

“We need to have a national discussion and a global discussion,” Stice says. “But the people who really matter are the local leaders, as far as climate is concerned. The people you elect on the local level are going to have a much greater impact on how you respond and how your companies can adjust, than whether or not your candidate is in the White House.”

To gauge actual impact, the researchers split the sample by size and geographic concentration, presuming that larger firms with a wider geographic footprint would be less affected by temperature changes at home base. These differences between firms proved to be critical. For the smallest, most localized firms, a swing from the 75th to the 25th percentile in terms of nonideal temperature meant 8.8-15.9% lower sales. The biggest and most sprawling firms saw sales declines of just 4.3-5.6% from an equivalent shift.

Stice clarifies that “we are talking about very small deviations, like percentages of degrees on average per day over an entire quarter. If it were one degree hotter than 65 degrees every day, that would come up in our measure as a 90. The biggest number we have is like a 25 or a 30.”

Also, sales impact tells only part of the story. The sheer size of the data-set allowed Stice and his co-authors to predict quarterly sales performance for individual firms, based on the weather and firm characteristics. On average, actual sales declines were about half as severe as predicted. The researchers speculate that firms were able to soften the blow of immoderate temperatures by adjusting their business practices. The time and resources spent on these adaptations are part of the hidden economic costs of climate volatility.

If firm managers can anticipate how the weather can impact business outcomes, you would expect financial analysts to be at least as attentive to climate effects. However, the researchers found that sales forecasts made shortly before earnings announcements were thrown off by abnormal temperatures in the previous quarter, with 7.4% inaccuracy in the mean. Similarly, the researchers found that weather impact was positively correlated with announcement-period stock market returns. Apparently, even professional investors are being caught off guard by the subtle but costly interactions between climate and economic activity.

For more accurate appraisals, Stice suggests we should turn to the local level. He notes that his measures of firm-specific weather sensitivity happen to line up fairly neatly with municipal self-assessments made by local governments as part of the Carbon Disclosure Project.

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The NYPD gave officers iPhones. Here’s what we learned about race and policing

Jennifer Anzaldi — Tue, 04 Jun 2024 16:50:43 +0000

The NYPD gave officers iPhones. Here’s what we learned about race and policing Jennifer Anzaldi Tue, 06/04/2024 - 12:50

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The controversy about biased policing seems to draw endless fuel from race-based differences in public perception. Simply put, the vast majority of White citizens in the United States believe the police are doing a good job, including on issues of racial equality, while a similar percentage of Black citizens hold the opposite opinion. And while a growing number of studies have indicated persistent patterns of racial discrimination in policing, an emergent concern among scholars is that the data these papers rely on are also subject to baked-in biases, since they often derive from officers’ self-reports of their own behavior.

Brad Greenwood

Enter Brad Greenwood, professor of information systems and operations management at the Donald G. Costello College of Business at ��. One of his research interests lies in how digital technologies are bringing unprecedented transparency to police practices. For example, Greenwood’s 2022 paper documented how the introduction of body-worn cameras for the New York Police Department (NYPD) resulted in a significant reduction in abuse-of-authority complaints.

His latest work on policing is forthcoming in Proceedings of the National Academy of Sciences. Along with Gordon Burtch from Boston University and Jeremy Watson from the University of Minnesota, Greenwood examined the recent rollout of iPhones across the NYPD, which included a series of digital tools designed to replace the handwritten memo books officers previously relied on. Instead of scribbling in the physical books, which NYPD officers were required to hang onto even into retirement, officers could log their activities directly into a centralized database maintained by the NYPD. These detailed digital records shed fresh light on how cops spend their time—and attention—on the beat.

The researchers tracked data on NYPD stops and complaints in 2017 and 2018, the period when iPhones were being rolled out across precincts in New York City. A curious pattern emerged. There was an 18% increase in reported stops after a precinct received iPhones, which would be consistent with the digital tools making it easier for officers to report a citizen interaction. Further, the researchers discovered that this increase resulted in neither more arrests nor more complaints from the public. It wasn’t, therefore, that the phones were somehow causing the police to stop people more often, but rather that so-called “unproductive stops”—those leading to no further action—were being reported more often.

However, when breaking the results down across White and non-White citizens, the researchers found that unproductive stops involving non-White citizens were entirely responsible for the increase. In other words, the observed changes were based on police encounters with non-White members of the public, that would likely have gone unreported in the days of pen and paper. More specifically, after switching to the smartphone system, officers logged 22% more stops involving non-White citizens, while the number of reported stops of White citizens remained unchanged. These are statistical averages—the pattern was more marked in high-crime neighborhoods and those with a greater proportion of non-White residents.

Greenwood offered an interpretation of the finding: “The concern here is that we have an underreporting, which is concentrated in certain groups and means that we need to be cautious when interpreting prior work. On the one hand, it opens the door to bias in police interactions with civilians being worse than initially anticipated, at least based on the frequency of stops. On the other hand, it could mean that older data doesn’t accurately reflect the likelihood of an arrest once a stop occurs. And we need to be doubly cautious, because we don’t know if officers are reporting stops more frequently just because it is easier, or for some other reason.”

Greenwood cautions against making sweeping conclusions based on the study. “The only thing we know for sure is that more and deeper work is needed by scholars and policy makers to ensure transparency between law enforcement and the people they are charged to protect,” he said.

On the whole, however, the study raises the possibility that race-based disparities in policing are not only very real, but may have been underestimated thus far because of reporting gaps.

As police officers are not obligated to document all civilian interactions, their decisions regarding what—and what not—to report can be biased. The introduction of new technology, as in the case of the NYPD, can help counter such biases, but is not the only avenue worth pursuing. The researchers recommend that police departments “investigate the appropriate organizational complements (i.e., policies and procedures) necessary to uncover and eliminate such biases.”

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