Category: Academic Reportage

Source: The Conversation – USA – By Azarang Asadi, Data Scientist, Oklahoma State University

People often take walking for granted. We just move, one step after another, without ever thinking about what it takes to make that happen. Yet every single step is an extraordinary act of coordination, driven by precise timing between spinal cord, brain, nerves, muscles and joints.

Historically, people have used stopwatches, cameras or trained eyes to assess walking and its deficits. However, recent technological advances such as motion capture, wearable sensors and data science methods can record and quantify characteristics of step-by-step movement.

We are researchers who study biomechanics and human performance. We and other researchers are increasingly applying this data to improve human movement. These insights not only help athletes of all stripes push their performance boundaries, but they also support movement recovery for patients through personalized feedback. Ultimately, motion could become another vital sign.

From motion data to performance insights

Researchers around the world combine physiology, biomechanics and data science to decode human movement. This interdisciplinary approach sets the stage for a new era where machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that improve health.

It’s the same technology that powers your fitness tracker. For example, the inertial measurement unit in the Apple Watch records motion and derives metrics such as step count, stride length and cadence. Wearable sensors, such as inertial measurement units, record thousands of data points every second. The raw data reveals very little about a person’s movement. In fact, the data is so noisy and unstructured that it’s impossible to extract any meaningful insight.

That is where signal processing comes into play. A signal is simply a sequence of measurements tracked over time. Imagine putting an inertial measurement unit on your ankle. The device constantly tracks the ankle’s movement by measuring signals such as acceleration and rotation. These signals provide an overview of the motion and indicate how the body behaves. However, they often contain unwanted background noise that can blur the real picture.

With mathematical tools, researchers can filter out the noise and isolate the information that truly reflects how the body is performing. It’s like taking a blurry photo and using editing tools to make the picture clear. The process of cleaning and manipulating the signals is known as signal processing.

After processing the signals, researchers use machine learning techniques to transform them into interpretable metrics. Machine learning is a subfield of artificial intelligence that works by finding patterns and relationships in data. In the context of human movement, these tools can identify features of motion that correspond to key performance and health metrics.

For example, our team at the Human Performance and Nutrition Research Institute at Oklahoma State University estimated fitness capacity without requiring exhaustive physical tests or special equipment. Fitness capacity is how efficiently the body can perform physical activity. By combining biomechanics, signal processing and machine learning, we were able to estimate fitness capacity using data from just a few steps of our subjects’ walking.

Beyond fitness, walking data offers even deeper insights. Walking speed is a powerful indicator of longevity, and by tracking it, we could learn about people’s long-term health and life expectancy.

From performance to medicine

The impact of these algorithms extends far beyond tracking performance such as steps and miles walked. They can be applied to support rehabilitation and prevent injuries. Our team is developing a machine learning algorithm to detect when an athlete is at an elevated risk of injury just by analyzing their body movement and detecting subtle changes.

Other scientists have used similar approaches to monitor motor control impairments following a stroke by continuously assessing how a patient’s walking patterns evolve, determining whether motor control is improving, or if the patient is compensating in any way that could lead to future injury.

Similar tools can also be used to inform treatment plans based on each patient’s specific needs, moving us closer to true personalized medicine. In Parkinson’s disease, these methods have been used to diagnose the condition, monitor its severity and detect episodes of walking difficulties to prompt cues to the patients to resume walking.

Others have used these techniques to design and control wearable assistive devices such as exoskeletons that improve mobility for people with physical disabilities by generating power at precisely timed intervals. In addition, researchers have evaluated movement strategies in military service members and found that those with poor biomechanics had a higher risk of injury. Others have used wrist-worn wearables to detect overuse injuries in service members. At their core, these innovations all have one goal: to restore and improve human movement.

Motion as a vital sign

We believe that the future of personalized medicine lies in dynamic monitoring. Every step, jump or squat carries information about how the body functions, performs and recovers. With advances in wearable technology, AI and cloud computing, real-time movement monitoring and biofeedback are likely to become a routine part of everyday life.

Imagine an athlete’s shoe that warns them before an injury occurs, clothing for the elderly that detects and prevents a fall before it occurs, or a smartwatch that detects early signs of stroke based on walking patterns. Combining biomechanics, signal processing and data science turns motion into a vital sign, a real-time reflection of your health and well-being.

Matthew Bird has previously received funding from the Department of Defense. The views expressed in this manuscript are those of the author and do not necessarily reflect the views, opinions, or policies of Oklahoma State University.

Azarang Asadi and Collin D. Bowersock do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their academic appointment.

– ref. Turning motion into medicine: How AI, motion capture and wearables can improve your health – https://theconversation.com/turning-motion-into-medicine-how-ai-motion-capture-and-wearables-can-improve-your-health-266671

Source: The Conversation – USA – By Christina Nicholas, Associate Professor of Orthodontics and of Anthropology, University of Illinois Chicago

Curious Kids is a series for children of all ages. If you have a question you’d like an expert to answer, send it to curiouskidsus@theconversation.com.

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Why do people have two sets of teeth? – Ivy D., age 11, Hyde Park, New York

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Teeth help animals bite and chew food. Meat-eating carnivores tend to have sharp teeth to sink into their prey, while herbivores tend to have flatter teeth to grind down their plant-based meals.

Some animals also use their pearly whites for specialized purposes like digging or fighting. Tusks, like you see in elephants, walruses and warthogs, are one special kind of teeth – they grow continuously for as long as the animal is alive.

Over time, no matter what you use them for, teeth wear down. This is good news if you’re a rodent, such as a beaver or a rat. Because their teeth never stop growing, rodents rely on gnawing and chomping to grind their teeth down so they don’t grow so long that they cause problems.

Some animals deal with wear and tear by continuously developing new teeth as their old ones fall out. Sharks and crocodiles, for example, are what scientists call polyphyodont: They can grow nearly infinite sets of teeth.

Like most mammals, humans are diphyodont: We have two sets of teeth – baby teeth and adult teeth. The technical term for our baby teeth is deciduous teeth because they fall out, the same way deciduous leaves fall off trees in autumn.

We are a dentist who focuses on treating kids and an anthropologist who studies how humans’ teeth and faces grow. We are both passionate about teeth and oral health care, and love thinking and learning about teeth. How did two sets become standard for human beings?

How human teeth develop

Most people are born with no teeth showing in their mouths at all, even though your baby teeth start developing before you’re even born. Baby teeth usually start poking through the gums when you’re between 6 and 8 months old. Sometimes when dentists take X-rays to check for cavities or other problems, they can see adult teeth growing within the gums.

Baby teeth are relatively small because they need to fit in the small faces of babies and little kids. As you grow older and your face gets bigger, you have room in your mouth for more and larger teeth. Teeth have different sizes and shapes, depending on their purpose. Human front teeth are good at biting into things and tearing off a piece of food. Your back teeth are good at chewing foods into smaller bits before you swallow.

Most kids lose their first baby tooth when they’re between 5 and 6 years old, and the process slowly continues until you’re between 10 and 12 years old and all 20 of your original choppers have fallen out.

During that same time, your adult, or permanent, teeth gradually take their spots in your mouth. They’re bigger than your baby teeth and can help you chew more food at once. Eventually you have a set of 28, with the potential of four more wisdom teeth at the very back. Some people just naturally don’t ever grow wisdom teeth, some have wisdom teeth that don’t fit their jaws and need to be removed, and some have big, wide smiles with 32 teeth.

So, getting two sets of teeth means your teeth fit the size of your face as you grow, and helps make sure you can chew food your entire life.

Baby teeth deserve gentle care

You might be thinking that if baby teeth are just going to fall out, they can’t be that important. But that’s not true.

If you were a shark, every time you got a bunch of cavities or chipped a tooth, you’d just grow a new one and keep on chewing. But unlike sharks or crocodiles or even manatees, we humans only get two sets of teeth. By taking care of your baby teeth, you can keep them healthy and make sure they stay right where they belong until they’re ready to fall out.

If you don’t take care of your baby teeth, they can wind up with lots of cavities. If the cavities get too large or teeth become infected, they may need to be removed by the dentist. Not only is this process not fun, but taking out baby teeth too early can create problems for your adult teeth.

You can wind up with not enough space for your adult teeth to come in – that is, what dentists call “erupt” – into the right spots. This issue happens in part because the other teeth around where the baby tooth was will shift and may move into the space where your adult teeth are supposed to come in. Teeth can get stuck in the jaw and not erupt, or your teeth can be crowded in your mouth. If there is a mismatch between the size of your teeth and the size of your jaws, an orthodontist might attach braces to your teeth to reposition them so they all fit.

What is the future of teeth?

Because people can live long lives, 70 or 80 years or more, many outlive their teeth even if they do their best to take care of them. While there are lots of options for artificial teeth – like removable dentures or even dental implants, which are fake teeth that are screwed into your jaws – it’s not quite the same as having natural teeth.

If you break a bone, it heals because you can grow new bone to patch up the part that broke. Scientists call this process fracture healing. Human teeth aren’t bone and, unfortunately, do not heal themselves. Unlike your bones, which are mostly composed of a structural protein your body makes called collagen, your teeth are primarily made up of minerals such as calcium-rich hydroxyapatite. In some ways, teeth are closer to being like hard stones than living bones.

Regenerative dentistry is the study of how teeth grow and develop, with the goal of ultimately designing new ways to repair and replace our teeth. Scientists are working hard to figure out ways to grow new teeth or help existing teeth regenerate. They’re learning about the environment and materials needed to grow new teeth.

For now, the best thing you can do is take good care of the teeth you have and keep the gums and bones that support them healthy. Brush your teeth twice a day with toothpaste that contains fluoride, and floss once a day. Try to limit sugary, sticky foods and drinks – a good diet keeps your whole body healthy, not just your teeth. See a dentist regularly, and protect your teeth from injury.

Being kind to your teeth now can help your future self have a beautiful, healthy smile.

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Hello, curious kids! Do you have a question you’d like an expert to answer? Ask an adult to send your question to CuriousKidsUS@theconversation.com. Please tell us your name, age and the city where you live.

And since curiosity has no age limit – adults, let us know what you’re wondering, too. We won’t be able to answer every question, but we will do our best.

David Avenetti receives funding from the National Institutes of Health (National Institute of Dental and Craniofacial Research) and the Health Resources and Services Administration.

Christina Nicholas does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. Why do people have baby teeth and adult teeth? – https://theconversation.com/why-do-people-have-baby-teeth-and-adult-teeth-256198

Source: The Conversation – USA – By Robert A. Strong, Senior Fellow, Miller Center, University of Virginia

People trying to understand politics in the United States today often turn to history for precedents and perspective. Are our current divisions like the ones that preceded the American Revolution or the Civil War? Did the dramatic events of the 1960s generate the same kind of social and political forces seen today? Are there lessons from the past that show us how eras of intense political turmoil eventually subside?

As a scholar of American politics and the presidency, I believe one American historical period is especially worth revisiting in this turbulent moment in the U.S.: the 20 tumultuous years between the presidencies of Ulysses S. Grant and William McKinley in the second half of the 19th century.

The two decades between 1876 and 1896 are usually remembered as a time when the cities in the East grew rich and the West was wild – a “Gilded Age” in New York City and gunslingers on the frontier.

It was also a time when Americans struggled with immigration issues, racial injustice, tariff levels, technological change, economic volatility and political violence.

There was even a president, Grover Cleveland, who served two nonconsecutive terms in the White House – the only time that happened before Donald Trump.

In the elections between Grant and McKinley, the nation was closely divided. No president in those years – not Rutherford Hayes, James Garfield, Chester Arthur, Cleveland or Benjamin Harrison – served for two consecutive terms. No presidential candidate won more than 50% of the popular vote, except the Democrat Samuel Tilden. And Tilden, after winning 50.1% of the ballots cast in 1876, lost in the Electoral College. That happened again in 1888 when Cleveland, the first time he was seeking a second term, won the popular vote but failed in the Electoral College.

The narrow victories that characterized presidential politics in the 1870s and 1880s were matched by constant shifts on Capitol Hill. In the 20 years between Grant and McKinley, there were only six years of unified government, when one political party controlled the White House, the Senate and the House of Representatives. In the remaining 14 years, presidents encountered opposition in Congress.

The U.S. has the same kind of divided politics today.

Heating up partisanship and raising stakes

President Bill Clinton had two years of unified government; President George W. Bush had less than that. Barack Obama, Donald Trump in his first term and Joe Biden all came into office with party majorities in the House and Senate, and then, like Clinton, their parties lost the House two years later.

Divided politics, with close elections and neither party in power for very long, make partisanship more intense, campaigns harder fought and the stakes sky high whenever voters go to the polls. That’s part of what produced instability in the second half of the 19th century and part of what produces it today.

Divided government is, of course, one of the most powerful “checks” in the constitutional system of checks and balances. Intense competition between political parties can prevent the national government from making rash decisions and serious mistakes. It can sometimes generate compromise.

But there’s a cost. Political division can also allow critical problems to fester for far too long. The dramatic changes brought on by the Industrial Revolution after the Civil War were not seriously addressed in federal legislation until the Progressive Era early in the 20th century.

In the second half of the 19th century, Congress raised or lowered tariffs – depending on which party controlled the White House and Capitol Hill. The nation debated immigration but only once passed meaningful legislation, the Chinese Exclusion Act of 1882. A long list of issues connected to railroads, banks, currency, civil service, corruption and the implementation of the post-Civil War constitutional amendments were ignored or only partially addressed.

When major legislation was passed in 1883 to create a merit-based civil service – reforming the spoils system of political appointments – it passed because Garfield’s 1881 assassination by a disgruntled federal job seeker temporarily pushed the issue to the top of the national agenda.

Immigration, fake news and riots

Political violence accompanied the period of closely divided national elections in the 1870s and 1880s.

In the 1880 presidential campaign, both candidates – the Republican, Garfield, and the Democrat, Winfield Hancock – called for restrictions on Chinese immigration to the United States. Neither supported the complete ban that many Westerners wanted.

But just before Americans went to the polls, newspapers across the country printed a letter, allegedly written and signed by Garfield, that endorsed an open border to Chinese immigrants. Before anyone could learn that the letter was a fake, there was public uproar. In Denver, an angry mob burned down all the homes in Chinese neighborhoods.

There were more incidents of political violence: anti-Chinese riots in Los Angeles in 1871, in San Francisco in 1877 and in Seattle in 1886.

Throughout the 1880s, anti-immigrant nativists targeted immigrants from Italy and sometimes vandalized Catholic churches.

Political violence in the South successfully suppressed Black voting rights and reestablished white control of state and local politics.

Realignment

Political division in the second half of the 19th century produced more problems than solutions. How and when did it end, or become less intense?

The simple answer is what political scientists call a “realignment,” a major shift in national electoral patterns.

In 1893, the first year of Cleveland’s second term, the nation suffered a financial crisis followed by a severe economic depression. As a result, McKinley was able to win solid victories in 1896 and 1900 and build a Republican coalition that dominated presidential politics until the election in 1932 of Democrat Franklin Roosevelt.

It’s not hard to imagine how an economic disaster, or a crisis of some kind, could shake the country out of a period of closely divided politics. But that’s a painful way of building a higher level of national unity.

Can it happen when large numbers of voters get thoroughly frustrated by languishing issues, swings back and forth in Washington, nasty elections and rising political violence?

Perhaps.

But either way – responding to crisis or finding a public change of heart – is a reminder that voters are the ultimate arbiters in a functioning democracy. Today, as in late-19th-century America, elections make a difference. They can mark continued division or they can take the nation in a new, and perhaps more unified, direction.

Robert A. Strong does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. What America’s divided and tumultuous politics of the late-19th century can teach us – https://theconversation.com/what-americas-divided-and-tumultuous-politics-of-the-late-19th-century-can-teach-us-267292

Source: The Conversation – USA (2) – By Gabriel Guillén, Professor of Language Studies, Middlebury College

Your host in Osaka, Japan, slips on a pair of headphones and suddenly hears your words transformed into flawless Kansai Japanese. Even better, their reply in their native tongue comes through perfectly clear to you.

Thanks to artificial intelligence, neither of you is lost in translation. What once seemed like science fiction is now marketed as a quick fix for cross-cultural communication.

Such AI-powered tools will be useful for many people, especially for tourists or in any purely transactional situation, even if seamless automatic interpretation remains at an experimental stage.

Does this mean the process of learning another language will soon be a thing of the past?

As scholars of computer-assisted language learning and linguistics, we disagree and see language learning as vital in other ways. We have devoted our careers to this field because we deeply believe in the lasting and transformative value of learning and speaking languages beyond one’s mother tongue.

Lessons from past language ‘disruptions’

This isn’t the first time a new technology has promised massive disruption to learning languages.

In recent years, language learning startups such as Duolingo aimed to make acquiring a language easier than ever, in part by gamifying language. While these apps have certainly made learning more accessible to more people, our research shows most platforms and apps have failed to fully replicate the inherently social process of learning a language.

One thing’s clear: The massive popularity of language apps shows there’s still strong demand for language learning, despite a sharp decline in formal education settings. Duolingo alone had 113.1 million monthly active users around the world at the end of 2024, a 36% increase over the prior year. This is about 10 times more than the number of students who take languages other than English in U.S. schools.

The meaning of learning a language

Numbers aside, the gold standard of language learning is the ability to follow and contribute to a live group conversation.

Since World War II, government departments and education programs recognized that text-centered grammar-translation methods did little to support real interaction. Interpersonal conversational competence gradually became the main goal of language classes. While technologies you can put in your ear or wear on your face now promise to revolutionize interpersonal interaction, their usefulness in such conversations actually falls along a spectrum.

At one end, you have simple tasks you have to navigate while visiting a city where they speak a different language, like checking out of a hotel, buying a ticket at a kiosk or finding your way around town. That is, people from different backgrounds working together to achieve a goal – a successful checkout, a ticket purchase or getting to the famous museum you want to visit. Any mix of languages, gestures or tools – even AI tools – can help in this context. In such cases, where the goal is clear and both parties are patient, shared English or automated interpretation can get the job done while bypassing the hard work of language learning.

At the other end, identity matters as much as content. Meeting your in-laws, introducing yourself at work, welcoming a delegation or presenting to a skeptical audience all involve trust and social capital. Humor, idioms, levels of formality, tone, timing and body language shape not just what you say but who you are.

The effort of learning a language communicates respect, trust and a willingness to see the world through someone else’s eyes. We believe language learning is one of the most demanding and rewarding forms of deep work, building cognitive resilience, empathy, identity and community in ways technology struggles to replicate.

The 2003 movie “Lost in Translation,” which depicts an older American man falling in love with a much younger American woman, was not about getting lost in the language but delved into issues of interculturality and finding yourself while exposed to the other.

Indeed, accelerating mobility due to climate migration, remote work and retirement abroad all increase the need to learn languages – not just translate them. Even those staying in place often seek deeper connections through language as learners with familial and historical ties.

Where AI falls short

The latest AI technologies, such as those used by Apple’s newest AirPods to instantly interpret and translate, certainly are powerful tools that will help a lot of people interact with anyone who speaks a different language in ways previously only possible for someone who spent a year or two studying it. It’s like having your own personal interpreter.

Yet relying on interpretation carries hidden costs: distortion of meaning, loss of interactive nuance and diminished interpersonal trust.

An ethnography of American learners with strong motivation and near limitless support found that falling back on speaking English and using technology to aid translation may be easier in the short term, but this undercuts long-term language and integration goals. Language learners constantly face this choice between short-term ease and long-term impact.

Some AI tools help accomplish immediate tasks, and generative AI apps can support acquisition but can take away the negotiations of meaning from which durable skills emerge.

AI interpretation may suffice for one-on-one conversations, but learners usually aspire to join ongoing conversations already being had among speakers of another language. Long-term language learning, while necessarily friction-filled, is nevertheless beneficial on many fronts.

Interpersonally, using another’s language fosters both cultural and cognitive empathy.

In addition, the cognitive benefits of multilingualism are equally well documented: resistance to dementia, divergent thinking, flexibility in shifting attention, acceptance of multiple perspectives and explanations, and reduced bias in reasoning.

The very attributes companies seek in the AI age – resilience, lifelong learning, analytical and creative thinking, active listening – are all cultivated through language learning.

Rethinking language education in the age of AI

So why, in the increasingly multilingual U.K. and U.S., are fewer students choosing to learn another language in high school and at university?

The reasons are complex.

Too often, institutions have struggled to demonstrate the relevance of language studies. Yet innovative approaches abound, from integrating language in the contexts of other subjects and linking it to service and volunteering to connecting students with others through virtual exchanges or community partners via project-based language learning, all while developing intercultural skills.

So, again, what’s the value of learning another language when AI can handle tourism phrases, casual conversation and city navigation?

The answer, in our view, lies not in fleeting encounters but in cultivating enduring capacities: curiosity, empathy, deeper understanding of others, the reshaping of identity and the promise of lasting cognitive growth.

For educators, the call is clear. Generative AI can take on rote and transactional tasks while excelling at error correction, adapting input and vocabulary support. That frees classroom time for multiparty, culturally rich and nuanced conversation.

Teaching approaches grounded in interculturality, embodied communication, play and relationship building will thrive. Learning this way enables learners to critically evaluate what AI earbuds or chatbots create, to join authentic conversations and to experience the full benefits of long-term language learning.

Thor Sawin has received funding for teacher development projects through the State Department Fulbright Specialist and English Language Specialist program, as well as the US Air Force and LCC International University in Lithuania.

Gabriel Guillén does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. What AI earbuds can’t replace: The value of learning another language – https://theconversation.com/what-ai-earbuds-cant-replace-the-value-of-learning-another-language-264965

Source: The Conversation – USA (2) – By Suvrat Dhanorkar, Associate Professor, Georgia Institute of Technology

Imagine walking out of a Walmart, Target or Costco. As you push your large shopping cart to your car, you ask yourself: Did I really need all that stuff?

The answer is you probably didn’t.

In a recent study, my co-authors Lina Wang, Sungho Park and I found that the presence of supercenters – large retailers that sell groceries alongside general merchandise – results in a significant uptick in consumer waste due to overpurchasing.

These supercenters often sit on lots in excess of 150,000 square feet. But figuring out how all that real estate affects people’s shopping habits – if it does at all – is tricky. That’s because a lot of factors influence how much people buy on a single shopping trip.

To answer this question, we looked at the impact of the spread of Walmart supercenters across the U.S. over a decade, using a technique called difference-in-differences – an analytical method in which we compared consumer waste trends in counties that saw supercenter launches with “matched” counties that did not. This matching ensured that counties were otherwise closely comparable on socioeconomic factors such as housing, income and education.

Our analysis showed that the launch of a supercenter results in an increase in consumer waste of up to 7%. Furthermore, this increase in consumer waste is larger for new supercenter openings compared with conversions, when existing regular stores are expanded into large-format ones.

Why it matters

For decades, neighborhood stores across the U.S. were edged out by large-format retailers: department stores, supercenters and shopping malls. Although there is evidence that many of these big-name retailers are beginning to look toward smaller stores, the shopping landscape remains dotted by supercenters.

And these large stores stimulate mass consumption through gradual shifts in consumer behaviors. For example, in their attempt to generate more sales, large-format retailers often underprice smaller neighborhood stores.

Take, for example, Walmart’s “everyday low price” strategy, which is key to its business model. This pricing strategy offers shoppers a largely consistent year-round low price rather than relying on occasional sales and discounts.

Further contributing to overpurchasing is the supercenters’ typical location, which tends to be away from residential areas. Naturally, in their effort to avoid multiple trips, consumers tend to maximize the utility of each visit by making their basket sizes larger.

Unfortunately, this overpurchasing often leads to waste as more goods reach expiration date or sit unused in people’s homes.

While this may be a profitable strategy for retailers, it’s bad for society and the environment and creates billions of dollars in waste. To put this into context, the United States generates close to 300 million tons of consumer waste every year, and then spends billions of dollars managing this waste.

What still isn’t known

Now that we have measured the “supercenter effect,” we are keen to look at potential solutions to this problem. Some existing solutions are based on implementing policies that encourage behavioral shifts in consumers. For example, many cities have adopted a pay-as-you-throw policy that charges people based on the volume of waste generated.

Other solutions are more structural, such as bringing back neighborhood convenience stores and developing stronger circular economy channels. For example, neighborhood convenience stores can play an important role in mitigating the supercenter effect and could allow for smaller, more frequent shopping trips and significantly less waste.

In many cities, initiatives promoting local vendors and stores are gaining momentum. Such solutions would not only encourage sustainable consumption but also have benefits for local economic growth by promoting small businesses that have historically accounted for 62% of net new job creation.

A second solution entails leveraging the “reuse economy,” which can provide a back-end channel for circulating surplus and used goods. While both offline and online reuse channels exist – through the likes of thrift stores, food banks and Facebook Marketplace, for example – they currently remain vastly underused.

Identifying and aggressively implementing such solutions might turn out to be both economically meaningful and environmentally beneficial. But more work needs to be done to figure out which solutions are more effective, and why.

The Research Brief is a short take on interesting academic work.

Suvrat Dhanorkar does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. The ‘supercenter’ effect: How massive, one-stop retailers fuel overconsumption − and waste – https://theconversation.com/the-supercenter-effect-how-massive-one-stop-retailers-fuel-overconsumption-and-waste-267939

Source: The Conversation – USA (2) – By Jared Bahir Browsh, Assistant Teaching Professor of Critical Sports Studies, University of Colorado Boulder

It’s unusual for a professional sports franchise to plan a yearlong celebration for a team that didn’t win a championship.

But it is also rare that a group of players represents the vibe and culture of a city so accurately as the Philadelphia 76ers did back in 2001.

Throughout the 2025-2026 NBA season, the Sixers will honor the 25th anniversary of their legendary 2001 team. The celebration kicks off with the return of Hip-Hop, the muscle-bound rabbit mascot who debuted in 1998 and represented the team for 13 years. Throughout the year the team will wear jerseys and feature court designs from the 2001 season, and it will honor the team and its star player, Allen “The Answer” Iverson, during a reunion game on Jan. 31, 2026.

As a pop culture scholar and director of a program in critical sports studies, I regularly teach about the influence of Iverson, whom I was a big fan of during my elementary school, high school and college years in Philadelphia. I even named my pet guinea pig after the Hall of Fame player.

A new era

The City of Brotherly Love is known for its passionate sports fans. Although this passion has been interpreted by some as aggressive, if not barbaric, Philadelphians’ knowledge of and loyalty to their teams has never waned – even as they endured a 25-year championship drought across their four major professional teams.

Before the Philadelphia Phillies won the World Series in 2008, Philadelphia hadn’t had a championship sports team since 1983. In that year, the Sixers disrupted the dominance of the Boston Celtics and Los Angeles Lakers, who won every other championship from 1980 to 1988.

The Sixers remained competitive for a few more years before Moses Malone was traded in 1986 and Julius Erving – “Dr. J” – retired in 1987. In the decade that followed, a contentious relationship developed between fans and Sixers owner Harold Katz. It intensified when Katz traded fan favorite Charles Barkley in 1992.

In 1996, Comcast Spectacor, owner of the NHL’s Philadelphia Flyers, bought the Sixers from Katz and ushered in a new era for the franchise. The team moved to a new arena and hired their former trainer Pat Croce, who had a minority stake in the team, as team president.

That same year, the Sixers won the draft lottery for the first pick of the NBA draft, earning the rights to draft a 6-foot guard from Georgetown University. Iverson not only altered the fortunes of the franchise but became a cultural phenomenon while representing a city known for being brash and gritty.

Policing Black athletes

Black athletes, in particular, are often expected to engage in respectability politics – a strategy in which marginalized people are expected to abandon parts of their own culture to assimilate to the dominant, often white, culture’s expectations. Mostly white team owners and fans want them to act a certain way or avoid speaking out on societal issues such as race.

One of the earliest, and most visible, challenges to this in sports was Jack Johnson, a Black heavyweight boxing champion in 1908 who refused to adhere to social and economic expectations of African Americans in the early 20th century. Johnson taunted his opponents in the ring and flouted his wealth outside of it. Most controversially, he had romantic relationships with white women.

Later, boxing legend Muhammad Ali and Boston Celtics center Bill Russell also faced criticism for speaking out on civil rights issues.

Like Johnson, Ali and Russell were targeted by federal law enforcement. Ali was suspended from boxing for three years for his refusal to join the military and fight in the Vietnam War. Both Ali and Russell were also tracked by the FBI, and Russell found his house in the Boston area vandalized, though no one was charged.

Iverson, meanwhile, was targeted by the criminal justice system before he even reached the NBA. When he was in high school, he was a top college recruit in both basketball and football even as he navigated poverty and instability.

On Feb. 14, 1993, Iverson was at a bowling alley in his hometown of Hampton, Virginia, when a fight broke out. He and three friends were identified by witnesses, despite questionable evidence that they were involved in the altercation. Iverson was charged with “maiming by mob” – a crime that originally targeted lynching in Virginia. He was found guilty and sentenced to 15 years in prison.

After public outcry and a high profile interview with Tom Brokaw, Iverson was granted clemency and offered the opportunity to play for coach John Thompson at Georgetown University.

AI’s authenticity and style

In the late 1970s some fans and commentators complained the NBA was becoming “too Black,” so in the 1980s the league took a color-blind approach to marketing players such as Michael Jordan and Magic Johnson. Race took a back seat to money, as players of that era largely avoided discussing Black culture.

Once drafted into the NBA, Iverson conveyed an authenticity rarely seen in modern sports, where agents and public relation professionals manage their clients’ image and ensure they say the right things to the media.

He had visible tattoos and began wearing his hair in cornrows in his rookie year. He also embraced rap music and hip-hop culture and style.

His fearless play on the court reinforced this image. He had relentless energy, took challenging shots and put his body on the line.

In Philadelphia, sports fans also appreciated his loyalty to friends and family along with his willingness to speak his mind.

Much like its star player, the Sixers franchise also embraced hip-hop culture, represented in its new rabbit mascot in 1998. Although basketball has had a connection with hip-hop since the 1970s, the NBA’s corporate sponsors were uneasy about this relationship. The Sixers’ decision to lean into this culture was notable.

There was concern, particularly from league commissioner David Stern, that Iverson’s and the Sixers’ embrace of hip-hop culture would alienate certain stakeholders. Stern clashed with Iverson and implemented a league-wide dress code that barred T-shirts, shorts, chain necklaces, sunglasses and even headphones in public appearances. The ban seemed to target the NBA’s young Black players.

Nevertheless, the Sixers attracted new fans and built their team around Iverson’s unique offensive skills, surrounding him with unselfish, defense-focused teammates. They hired Larry Brown as head coach and acquired Philadelphia native and Temple graduate Aaron McKie, who became one of Iverson’s closest teammates.

The 2001 Finals

The Sixers started the 2000-2001 season with a 10-game winning streak and later, after a win against the New York Knicks on Feb. 1, 2001, had a 35-11 record. In a loss on Feb. 7 to the Houston Rockets, center Theo Ratliff injured his wrist and had to undergo season-ending surgery. Over the next two weeks the team won six straight games and Iverson was named the MVP of the 2001 NBA All-Star Game.

Recognizing the need for a big man, however, the Sixers traded four players for top defender and future Hall-of-Fame center Dikembe Mutombo.

As the team adjusted to its roster changes, they stumbled to a 15-11 record in the last 26 games of the regular season, but were still able to earn the top seed in the Eastern Conference. The playoffs consumed the city with Sixers fever.

Despite its top seed, the team consistently felt like an underdog, reflecting the overall reputation of Philadelphia. Each series was a fight, and the Sixers had to play 18 out of the possible 19 games on their way to the NBA Finals against the Lakers. They escaped elimination games twice.

Game 1 of the Finals was the defining game of the season. The Sixers battled to an overtime upset, a game known for the “step-over” after Iverson hit a shot and then took an exaggerated step over the Lakers’ Tyronn Lue, who had fallen down while trying to defend the Sixers guard.

The team lost the next two highly competitive games before injuries and the Lakers’ talent proved too difficult to overcome.

A Philly legend

The Sixers have not returned to the Finals since 2001, while both the Phillies and Eagles have since won the World Series and Super Bowl on behalf of the city.

Although Iverson never brought home a championship, and he continued to be polarizing – marked by moments such as his infamous “practice” rant – he still ranks as one of the most popular Philadelphia athletes of all time.

Sixers fans like myself are excited for the opportunity to look back at this team that brought the city together at the start of the new millennium. It’s also a chance to celebrate the future of a team led by an exciting group of guards – Tyrese Maxey, V.J. Edgecombe and Jared McCain – who look to recapture the city and revitalize the legacy of Iverson and the 2001 Sixers.

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Jared Bahir Browsh does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. Allen Iverson’s 2001 Sixers embodied Philly’s brash, gritty soul − and changed basketball culture forever – https://theconversation.com/allen-iversons-2001-sixers-embodied-phillys-brash-gritty-soul-and-changed-basketball-culture-forever-268170