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Can Decentralized Finance Replace Traditional Payments – The Daily Hodl

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Theres a lot of talk about DeFi (decentralized finance) these days.

If one were to believe all the hype, it would seem that DeFi is a foregone conclusion its not a matter of if complete decentralization will happen, but rather a matter of when.

Admittedly, it does appear that things are heading in that direction. The potential, the market need and the technology are all there.

While some infer that we could make the switch right now, thats beyond optimistic.

Its true that decentralization is dependent on blockchain technology, and youd be hard-pressed to find people who will argue that blockchain doesnt work.

Even naysayers, when pushed, will concede that the technology itself is solid and has the potential to disrupt finance as we know it.

But just because blockchain technology has proven itself doesnt mean that DeFi is a necessary inevitability.

DeFi will almost certainly play a role in the future of finance. But I can see at least three major roadblocks that need to be overcome before DeFi has a chance of overcoming traditional payments.

Consumer buy-in and trust

Our current centralized systems have been in place for a long time. Theyre accepted because theyre familiar and for the most part, they work very well.

People are resistant to change, particularly when they dont see a clear benefit.

Even when shown the upsides, many will distrust a new way of doing things, taking refuge behind an if it aint broke, dont fix it mentality.

One of the chief arguments for DeFi is that it removes the middleman. But that doesnt take into account that some people would rather pay a third party to perform a service.

We generally accept that like attorneys or CPAs financial professionals know more than we do about their specialty and will do a better job.

More importantly, when professionals provide a service, they also take on the accompanying risk.

Consumers will be even more hesitant to accept a new system if it also means losing protection and accepting liability.

This was effectively proven at the dawn of the credit card age. Payment card usage did not gain wide-scale acceptance until 1974, when stronger consumer protection mechanisms were put in place.

Acceptance increased once consumers knew they had a safety net if they were scammed or defrauded.

Even then, though, it still took decades for credit cards to become a dominant payment preference.

People needed formalized assurance that card payments worked across the board. That required at least some degree of centralization, as would any consumer protections used with DeFi.

Banks and financial institution acceptance

Financial organizations are understandably dragging their feet over a move to DeFi.

Our existing banking model is deeply rooted in the most basic tenet of capitalism being paid to perform a service. In this case, arranging financial transactions on behalf of the customer.

As weve seen, decentralization empowers users to do the work without a go-between, and consumers may not go for that. For the financial industry, however, DeFi could be devastatingly disruptive.

Services that are currently integral to their business could become obsolete, meaning banks stand to lose the biggest revenue source they have.

DeFi could also potentially expose financial institutions to increased fraud risk.

Currently, US banks are legally required to use KYC (know your customer) protocols to identify the individual attached to a transaction.

That wont work with blockchain in a completely decentralized blockchain system, users can remain strictly anonymous.

If actual names and other personal information arent used, its exponentially more difficult to determine if people or organizations are engaged in illegal activity.

Money laundering, market manipulation and bank fraud are serious concerns.

Thats something that could impact the institutions in question, as well as the account holders and merchants they work with.

Lack of clarity regarding government oversight

While proponents of DeFi like to emphasize the absence of government regulations, thats actually one of the challenges in achieving wide acceptance.

Without a centralized system, legislation like the aforementioned KYC rules would be nearly impossible to enact. To some, that may sound like a feature, rather than a bug.

However, legislators are not going to see the situation in the same light.

The same goes for any government mandates and agencies that protect consumers, including the FDIC (Federal Deposit Insurance Corporation) and even the government itself could be a target.

Since transactions are extremely difficult to trace to an individual, it would theoretically be simple for a person to understate the amount of taxes owed or avoid paying them altogether.

Faced with the likely increase in criminal activity and an associated drop in government revenue, oversight legislation is almost inevitable. That means at least some centralization will be mandated.

So, finance can only really be as decentralized as lawmakers will allow it to be, and its unclear how they will respond.

DeFi and CeFi (centralized finance) can this be a yes, and? situation

None of this means DeFi isnt viable. Rather, it means that some amount of centralization is probably necessary to make it work on a wide scale.

And in fact, were already seeing de facto centralization popping up, even in arenas considered fully decentralized.

Stable coins, for example, remain stable by requiring a centralized issuer who backs sales by legal tender.

CBDCs (central bank digital currencies), while controversial, are still in the works. Even Bitcoin mining is seeing centralization become a point of contention in the community.

That may be splitting hairs, as far as what we call centralization, but the crypto market is growing. The bigger it gets, the more likely well see centralized regulation from FIs, the government or both.

Well also see combined efforts to sell the benefits of crypto to the public.

Individual brands will promote themselves, naturally, but advertisers, marketers and even lobbyists will recognize that selling the entire concept will also be necessary.

It would be hard to do that effectively without centralization. Again, that doesnt make DeFi a complete impossibility.

The two systems are in competition, to some extent, but they are not mutually exclusive.

DeFi and CeFi striking a balance

As convenient as it may be, trying to characterize this issue as a good guys versus bad guys battle isnt in our best interest.

Neither centralization nor DeFi are inherently bad.

One could argue that it would be easier to stick with the traditional way of doing things, but that genie is already out of the bottle.

Going backwards isnt really an option, even if fully realized DeFi is unlikely to materialize.

The next generation of development, DeFi 2.0, is already addressing some of the challenges of decentralization, including scalability and seamless cross-chain interoperability.

But widespread acceptance is still a ways away.

There are multiple layer two solutions, and as with any decentralized service, that raises questions as to how well they work and how safely any given code performs.

Can we have two competing ecosystems existing side-by-side? Probably not indefinitely one or the other would eventually triumph.

But a better question might be why would we want to?

DeFi is going to continue to evolve in parallel to traditional payments. It would make sense to eventually work toward a single, fully realized solution that combines the best elements of both models.

A payments ecosystem that benefits from the speed, privacy and egalitarian ethos of DeFi, with the security and institutional legitimacy of TradFi (traditional finance).

The trick is to pull this off without losing sight of the main goal safe, secure transactions, high efficiency and enhanced customer experience.

The future of DeFi will depend on how we strike that balance between maximizing benefits and still enjoying the protections of centralization.

Monica Eaton is the founder and CEO of Chargebacks911. This risk mitigation firm protects more than two billion transactions annually to help online merchants optimize profitability through dispute management. Monica is a globally recognized speaker who has shared her insights on technology, finance and entrepreneurship with audiences around the world.

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Gary Gensler Says Bitcoin Is Token of Choice for Ransomware and Not That Decentralized – The Daily Hodl

The Chair of the U.S. The Securities and Exchange Commission (SEC) says Bitcoin (BTC) isnt as decentralized as the public believes.

In a new interview on CNBC, Gensler says the top crypto asset by market cap is not that decentralized, partially due to the prominence of centralized crypto exchanges.

[Bitcoin] is not that decentralizedlook at how finance tends toward centralization since antiquity. What do we have? We have a handful of three to six core so-called crypto exchanges.

Bitcoin is sold on crypto exchanges around the world, and its not clear how that has anything to do with Bitcoins decentralization.

The networks decentralization stems from Bitcoins underlying blockchain technology, which is a distributed ledger managed by a network of computers (nodes) spread across the globe, with no single entity in control.

Backing up JPMorgan CEO Jamie Dimon, who said last month that Bitcoin was a pet rock with a main use case of helping criminals perpetrate illicit schemes, Gensler also says BTC is the token of choice for ransomware.

[Bitcoin] is the leading market share in ransomware, and thats publicly known. Its the token of choice for ransomware.

The US dollar, the euro, the yen you have the whole [of] society using [them] as a medium of exchange, we buy our cups of coffee, we get paid in dollars or yen or euro and you have a whole central bank and support for one currency, generally, per economic region.

That, we dont have here, so there is a very real economic difference

According to Gensler, Bitcoins transparent ledger gives off the impression that its more decentralized than it actually is, and should not be cited as a reason to invest in BTC.

How many times do you have people on this show that say Im going to invest in something because of how the books and records are kept Its just an accounting ledger. A clever [one].

Bitcoin is trading for $51,699 at time of writing, a 6.5% gain during the last 24 hours.

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The Advantages of DAOs over centralised Organisations | by Genesis DAO | Feb, 2024 – Medium

If youre considering founding an organization, youre likely facing a myriad of challenges. From decision-making bottlenecks to concerns about transparency and inclusivity, the traditional centralized organizational model often presents more hurdles than solutions. However, theres a transformative alternative on the horizon: Decentralized Autonomous Organizations (DAOs). In this blog post, well explore the advantages of decentralized organization and why embracing decentralization through DAOs can revolutionize how we collaborate and innovate.

Empowering Participation In a centralized organization, decision-making power is concentrated in the hands of a few individuals or a single entity. This can lead to limited input from stakeholders and a lack of representation for diverse perspectives. In contrast, DAOs empower every participant to have a voice in decision-making processes. For example, in a DAO governing a community garden project, members can use tokens to vote on which crops to plant, ensuring that decisions reflect the collective preferences and expertise of the entire community.

Enhancing Transparency and Trust Centralized organizations often struggle with transparency, leading to distrust among stakeholders. DAOs leverage blockchain technology to create transparent, immutable records of all transactions and decisions. This transparency builds trust among participants, as they can verify the integrity of the organizations operations in real-time. For instance, in a DAO funding environmental conservation efforts, donors can track how their contributions are being allocated and the impact theyre making, fostering greater confidence and accountability.

Reducing Single Points of Failure Centralized organizations are vulnerable to single points of failure, where a disruption or failure at the top can cascade down and disrupt the entire organization. DAOs distribute decision-making authority across a network of participants, reducing the risk of catastrophic failures. For example, in a DAO managing a decentralized ride-sharing platform, no single entity controls the platform, mitigating the risk of regulatory crackdowns or corporate malfeasance.

Fostering Innovation and Adaptability Centralized organizations often struggle to innovate and adapt to changing circumstances due to bureaucratic processes and hierarchies. DAOs enable rapid experimentation and innovation by providing a flexible framework for decision-making and resource allocation. For instance, in a DAO supporting open-source software development, contributors can propose and vote on new features or enhancements, allowing the project to evolve organically in response to user feedback and technological advancements.

Aragon: Aragon is a decentralized platform that facilitates governance for organizations. It enables individuals worldwide to participate in decision-making processes without traditional hierarchies. Through Aragon, organizations can govern themselves autonomously, ensuring inclusivity and transparency in their operations.

MakerDAO: MakerDAO is a decentralized lending platform built on blockchain technology. It allows users to borrow and lend digital assets without the need for intermediaries. MakerDAOs transparent governance and smart contracts ensure trust and accountability, making it a trusted platform for decentralized finance (DeFi).

Ethereum: Ethereum, often referred to as a decentralized autonomous organization itself, is a blockchain platform that enables developers to build decentralized applications (DApps) and smart contracts. Its decentralized network of nodes ensures that no single entity has control over the platform, fostering innovation and resilience in the blockchain ecosystem.

Augur: Augur is a decentralized prediction market platform that allows users to create and participate in prediction markets on various outcomes. By leveraging the wisdom of the crowd, Augur enables decentralized decision-making in forecasting and betting without relying on a central authority.

These examples demonstrate the real-world success of decentralized organizations in reshaping industries and empowering individuals to collaborate and innovate in unprecedented ways. Through decentralization, these organizations overcome the limitations of centralized models, fostering transparency, inclusivity, and resilience in their operations. Decentralized Autonomous Organizations offer a compelling alternative to traditional centralized organizational models, empowering participants, enhancing transparency, and fostering innovation. By embracing decentralization through DAOs, we can unlock new possibilities for collaboration, governance, and value creation, ushering in a future where organizations are truly decentralized, transparent, and resilient.

We at the Genesis DAO project not only want to continue sharing knowledge about DAOs and decentralisation in general, but also offer users a platform that allows them to easily build their DAO. If you want to stay tuned, feel free to follow @GenesisDAO_org on Twitter, YouTube or TikTok, where we now also share our blog post topics as informative videos!

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Two UWMadison researchers receive prestigious Sloan Fellowships – University of Wisconsin-Madison

Ke Fang, assistant professor of physics, and Xiangyao Yu, assistant professor of computer sciences have been named 2024 Sloan Fellows.

Two members of the University of WisconsinMadison faculty are among 126 scientists across the United States and Canada selected as Sloan Research Fellows.

The fellowships, awarded annually since 1955, honor exceptional scientists whose creativity, innovation and research accomplishments make them stand out as future leaders in their fields.

UWMadisons 2024 Sloan Fellows are Ke Fang, assistant professor of physics, and Xiangyao Yu, assistant professor of computer sciences.

Using data from the IceCube Neutrino Observatory and Fermi Large Area Telescope along with numerical simulations, Ke Fang studies the origin of subatomic particles like neutrinos that reach Earth from across the universe.

Xiangyao Yu works on database systems, focusing on database hardware, databases built to be used by cloud-based applications and streamlining combined processes of updating and analyzing data in large databases.

Sloan Research Fellowships are extraordinarily competitive awards involving the nominations of the most inventive and impactful early-career scientists across the U.S. and Canada, says Adam F. Falk, president of the Alfred P. Sloan Foundation. We look forward to seeing how fellows take leading roles shaping the research agenda within their respective fields.

Founded in 1934, the Sloan Foundation is a not-for-profit institution dedicated to improving the welfare of all through the advancement of scientific knowledge.

Sloan Fellows are chosen in seven fields chemistry, computer science, Earth system science, economics, mathematics, neuroscience and physics based on nomination and consideration by fellow scientists. The 2024 cohort comes from 53 institutions and a field that included more than 1,000 nominees. Winners receive a two-year, $75,000 fellowship that can be used flexibly to advance their research.

Among current and former Sloan Fellows, 57 have won a Nobel Prize, 71 have been awarded the National Medal of Science, 17 have won the Fields Medal in mathematics and 23 have won the John Bates Clark Medal in economics.

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How AI could bring a scientific renaissance: The SOS+CD lab – University of Colorado Boulder

The Science of Science and Computational Discovery (SOS+CD) lab focuses on the innovative use of AI and computational methods to advance scientific research and discovery.

When we think of scientific research, said Daniel Acuna, the head of the SOS+CD lab, "it can be hard to remember that scientists are people too."

The science of science, he explained, seeks to unravel the complexities and imperfections of who gets to make scientific discoveries, what those discoveries are and how those discoveries are credited and amplified. Computational discovery, on the other hand, seeks to help scientists discover new knowledge through AI and other computational methods.

From detecting altered images in research papers to improving information retrieval and fairness in AI systems, each member of the SOS+CD lab is engaged in projects that aim to solve complex problems in scientific research.

Let's learn from members of the lab about what their research entails.

Tyler Gorman is working to see if he can detect digitally altered images using AI. This is valuable because the pressure to publish can lead people to edit images, which can have large real-world consequences, such as the case of potentially doctored Alzheimer's research stretching across two decades.

Gorman sees a goal of the SOS+CD lab as automating the impossible task of large-scale review.

"At the end of the day, you just can't go through tens of thousands to hundreds of thousands of papers. But we could apply this tool to research papers and see if a percentage are photoshopped," he said.

When asked what he sees as the common thread of the lab, Gorman said, "We're all trying to take a hammer and microscope and look at different parts of the science of science."

Gorman said he believes that this variety of experience in the lab is a valuable part of research in a university.

"Everyone has their own expertise, and no one is smart enough to know everything. If they were, you wouldn't need grad school," Gorman said.

Carolina Chavez-Ruelas is working on a project examining whether the socioeconomic status of academic faculty influences their research interests. She is advised by Acuna and fellow computer science professor Aaron Clauset, who also investigates the science of science.

Chavez-Ruelas sees the SOS+CD lab as a place where the power of AI can be used for something beyond private industry.

"I think this lab is about how those tools can be used for science in general, be it discovery of unexplored gaps or maybe just helping researchers perform better and automatizing tasks that are tedious," she said.

Chavez-Ruelas said that having a strong research interest is the most important part of deciding whether to pursue a PhD.

She also acknowledges that the process of getting a PhD is complex.

"I think I was a bit lost when I first started my PhD, and I feel very fortunate that both Daniel and Aaron have been my advisors. It's been nice to have that guidance," she said.

Pawin Taechoyotin is working on several projects related to representation learning, a machine-learning technique that breaks down complex data into simpler representations so that its relationship to other data can be seen more easily.

Taechoyotin said this is similar to how humans learn to simplify the complex entity of an apple into an image of an apple or the word apple.

"A limitation of AI currently is that it cannot learn something beyond the data it is given, but if we could apply the way that humans learn back to the AI, we could potentially have AI that can identify or create new concepts," Taechoyotin said.

Among other projects, Taechoyotin is working on representation learning for the images and text of research papers. His goal is to enable researchers to retrieve papers that are similar to their own, but not the same, in the hopes of sparking creative thinking.

Taechoyotin said that he enjoys the collaborative space the lab brings, saying that you never truly work alone in academia because it limits your ideas.

"Also, humans are social animals, we need to talk to one another. You cannot help humanity if you can't communicate your work."

Shubham Sati is working on building a recommender system for citations in research papers.

The system will use a dataset of 100 million research papers to provide accurate and context-based recommendations for citations.

"Let's say you write a sentence and you know you read it somewhere but you're not able to cite it properly; you can't remember where you read it, Sati said. Take that sentence and feed it into my system, and it'll give you recommendations for citation."

This work can help ensure people don't plagiarize unintentionally, and could help uncover similar scientific literature that improves their work.

Sati was inspired to pursue this research after taking a class with Acuna and working as a backend engineer at Amazon.

Sati plans to continue working on systems engineering, working with computer science Professor Shivakant Mishra to reduce the amount of data duplication in databases by exploiting shared memory channels for edge computing systems.

He said that graduate school offers a valuable opportunity to delve deeper into research and expand one's knowledge and expertise.

MeysamVarasteh is working on the fairness of recommender systems toward women and Black people. He's working both with Acuna and Department of Information Science Chair and Professor Robyn Burke.

"I think society in general isn't always fair, and I think that I cannot change the world, but maybe I can change the AI that people use every day, like Netflix, YouTube, Google, and other applications," Varasteh said.

All of these applications and many others use what are called recommender systems, which recommend what you might want to watch next by what you've watched previously, and they can easily be biased.

During his master's degree, Varasteh read a research paper every day, and he said it helped him greatly. He became inspired to pursue this research after reading one of Burke's papers on recommender systems. He said he also deeply appreciates Acuna's guidance.

"He's a really supportive advisor," Varasteh said.

Varasteh, like Chavez-Ruelas, said he believes that you have to be committed to research to find a PhD useful.

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Mathematician Matthew Harrison-Trainor receives Sloan Research Fellowship | UIC today – UIC Today

Matthew Harrison-Trainor, a mathematician at the University of Illinois Chicago, has been awarded the Sloan Research Fellowship, one of the most prestigious awards for early-career researchers.

Harrison-Trainor, an assistant professor in the Department of Mathematics, Statistics and Computer Science, was one of 126 researchers chosen for the 2024 class of Sloan Research Fellows announced Tuesday, Feb. 20. He is the 21st UIC faculty member and the 16th from mathematics to receive the honor.

The fellowship gives Harrison-Trainor a two-year, $75,000 award to advance his research. It also inducts him into a select group that includes 57 Nobel Prize recipients and 17 winners of the Fields Medal in mathematics.

Harrison-Trainors work sits at the intersection of mathematics and computer science. It draws on mathematical logic and computability theory, a field that early computing pioneer Alan Turing originated.

A lot of computer science is about how efficiently things can be done. What I do is ask, Can you do it at all?, Harrison-Trainor said. We can imagine that in the future we will make better computers. But there are still problems that, no matter how good our computers are, were still not going to be able to do. Computability theory is about finding those boundaries.

In theoretical computer science, mathematicians study the complexity of computational problems, determining if they would be solvable in a reasonable length of time. Harrison-Trainors work goes a step further to determine if those problems are solvable at all.

In mathematics, researchers try to break complex phenomena into simple components to explain how they work, such as proving whether two complex geometric spaces are identical based on only a small set of observations. But sometimes they hit boundaries where the components cant be simplified any further. Harrison-Trainors work can help people pursuing these problems determine if theyve arrived at the limit of explainability.

Its like trying to explain the functions of the human brain by observing the activity of every individual neuron, Harrison-Trainor said. Such a model would not only be computationally intensive or impossible it would fail to improve our understanding of how the brain works. That isnt an explanation; it doesnt simplify whats going on, Harrison-Trainor said.

For certain mathematical problems, you can actually prove that theres no simple understanding, Harrison-Trainor said. Its not just that we havent come up with one yet, you can show that were never going to be able to.

Harrison-Trainor credited the UIC mathematics community and its historical strength in mathematical logic with supporting his Sloan fellowship application. Hes also a part of the mathematical computer science group, which brings together faculty and students working on problems at the intersection of mathematics and computer science.

Theres a strong community in the study of logic in the Midwest, and UIC is part of that, Harrison-Trainor said. Its a strong department, and when you have strong people, more good people and students come in.

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Mercer advances computer science education in rural Georgia – Mercer University

In an attempt to accelerate K-12 computer science education in a state where its exceedingly rare, in 2019 the Georgia Legislature passed a law mandating all high schools in the state must teach computer science by 2024. The bill was a direct response to the immense demand for technology talent in the private sector.

Preparing effective computer science education can take time and, of course, money. Thats where a team from Mercer Universitys College of Education, Department of Computer Science and School of Engineering came up with a plan.

We needed to make a difference, and this is a way we could do it, said Dr. Thomas Koballa, dean of the College of Education. He serves as principal investigator on a five-year National Science Foundation grant that aims to develop highly effective computer science teacher-leaders who are prepared, specifically, to help rural school systems provide high-quality instruction for all students.

Fewer than 20% of middle and high school students enrolled in computer science courses during the 2020-21 school year were in rural school systems, according to Georgia Department of Education data. Additionally, of the 309 certified computer science teachers, only 86 taught in rural schools.

The legislation was requiring all schools to include computer science in their curriculum, Dr. Koballa said. In metro school systems like Gwinnett (County), they have more computer science teachers than you can imagine. But in these (rural) school systems that were working with, it was just a dream for some of them.

The nearly $1.5 million grant is administered through the NSFs Division of Undergraduate Education and Robert Noyce Teacher Scholarship Program. It focuses on rural, high-need school districts in Clinch, Coffee, Evans, Jeff Davis, Tattnall, Treutlen and Wheeler counties, as well as Dublin City Schools.

Dr. Koballas team includes co-principal investigators Dr. Susie Morrissey, assistant professor of mathematics education in the College of Education; Dr. Bob Allen, professor and chair of computer science in the College of Liberal Arts and Sciences; and Dr. Anthony Choi, professor of electrical and computer engineering in the School of Engineering.

Consistent with Mercers ongoing efforts to not only transform communities but also create new models, the team knew they had to start with the teachers.

They worked with school administrators to recruit 16 certified computer science Master Teacher Fellows, including middle or high school teachers from each of the eight partner districts. The Master Teacher Fellows received tuition and a stipend to complete a 14-month online Educational Specialist (Ed.S.) in Teacher Leadership degree program that included computer science and instructional coaching endorsements. That was followed by online computer science mini-courses and in-person computer science leadership assemblies. The pair of teachers from each of the eight school districts are now constructing computer science system-level planning to guide computer science education in grades K-12.

As professors at a university, how many students can we directly touch? Very few, said Dr. Choi. But if we can actually help the teachers that are currently in those rural areas to become master computer science teachers, then be trained to a level where they are going to cultivate not only their own students but other teachers to become technologically advanced, thats the main goal of this project.

Dr. Koballa estimates that by educating 16 teachers, the project will impact more than 1,500 rural students. Nearly two years after Mercers College of Education received the grant to develop computer science master teachers for schools in rural Georgia, grant leaders are starting to see success.

The knowledge base and experience gained through my specialist program at Mercer has been huge in learning from some of the brightest minds currently in education.

Paige Denmark has spent the last eight years at Clinch County Elementary-Middle School as a sixth grade science teacher, a K-7 gifted resource and 4-7 STEM teacher. Shes one of the 16 Master Teacher Fellows participating in the project and said this partnership has not only enriched her teaching experience but created a platform for driving positive change in the community.

Teaching students and guiding them to discover the significance of computer science in their everyday lives, as well as its potential in shaping their future career pathways, is a driving force behind my involvement in the NSF grant, she said.

Master Teacher Fellow Andrew Harvey has been an educator for 15 years and currently teaches elementary STEAM, middle grades engineering, eighth grade science and high school mechatronics for Dublin City Schools. He said the NSF grant enabled him to work at the district level to expand computer science education across his district and build teacher capacity.

This network has helped to collaboratively solve common issues, share ideas and help create solutions for our districts, he said. The knowledge base and experience gained through my specialist program at Mercer has been huge in learning from some of the brightest minds currently in education.

Harvey added that his students have responded well to the revamped curriculum and lessons and have shown great aptitude for computer science.

Its tempting, because were an agricultural community, to think that technology isnt really being used, he explained. But if you work with any farmer around, youd be amazed how much technology they use every day, from their ground monitoring systems to the satellite systems that work with their tractors, the plows, even sprayer drones, everything. But people dont realize that, so the same opportunities are usually not given to rural districts.

Two years into the five-year grant, the project boasts a 100% retention rate. All 16 of the teachers who initially joined have remained with the program.

It was a tremendous amount of effort, tremendous amount of dedication that the fellows brought to the table, Dr. Choi said. They had to navigate through these courses that were all taught at night, while still teaching their regular classes. I think thats what made this so successful. We could not have done it without their dedication to what we were trying to do.

The project also includes partnerships with Wiregrass Georgia Technical College and the Computer Science for Georgia Academic Partners Network. Nonprofit partners that will provide the Master Teacher Fellows with career-focused computer science links within rural communities include Georgia Rural Health Innovation Center, University of Georgia Agricultural Extension Service and the Software Engineering Group at Warner Robins Air Logistics Complex.

Dr. Morris Leis, superintendent of Coffee County Schools, said his district is thankful to Mercer for this opportunity, and he believes computer science is a pathway that can lead to careers for many of his students.

The opportunities in Georgia have never been greater with a growing economy and the economic development across our state, he said. Our students must be prepared in the area of computer science, and this grant will create capacity in our classrooms. This grant will allow us to grow our own computer science instructors and will pay dividends for years to come.

A report recently released by Code.org, a nonprofit dedicated to expanding access to computer science, stated the number of students taking computer science education courses continues to rise at just a modest pace, and stubborn gaps in access to courses persist.

Dr. Koballa described this project as a homegrown approach but said there already have been discussions about how to expand it in the future.

What well be attempting to do is use the teachers and the momentum that we have to develop pathways in the school systems to address the continuing need for computer science teachers, he said.

All stakeholders agreed expanding computer science education in schools is critical for preparing todays students for tomorrows careers. And developing highly effective computer science teacher-leaders who are prepared to help rural school systems provide high-quality instruction is key.

Thanks to a team of solution-focused educators who saw a need and a way to help, more than 1,500 rural Georgia students are closer than theyve ever been to a brighter future.

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Computer science team uses AR to treat Parkinson’s | UNC-Chapel Hill – The University of North Carolina at Chapel Hill

There is no known cure for Parkinsons disease, but studies show that consistent, clinician-guided physical therapy can improve a patients range of outcomes and quality of life.

But what happens to a patient whose insurance coverage for physical therapy has run out? Or to rural patients without access to facilities? Or to those struggling to stand or walk at home, with no clinician to guide them?

A UNC-Chapel Hill computer science research team is addressing those issues with a cutting-edge solution: augmented reality.

Since September 2022, Henry Fuchs, Danielle Szafir and others have collaborated with medical researchers at Carolina on the multifaceted Parkinsons Project. Their PD-Insighter software combines graphics and data visualization to allow clinicians treating Parkinsons disease to watch and analyze patient movement in real-world home scenarios.

AR headsets and motion sensors track patient movements and interactions with their surroundings to provide the data.

We could only capture this data with technology that youre wearing every day, said Fuchs, the Federico Gil Distinguished Professor of Computer Science. So what is it that youll wear every day 10 years from now? We think itll be your glasses, which will have some cameras that could look out, look down and look in, so that they could capture your facial expression and capture your body and so on.

The metaverse is the next big leap in tech, says Fuchs, who believes AR glasses will eventually replace phones the same way phones replaced laptops.

AR glasses differ from virtual reality headsets, like the ones used in gaming, because the wearer can still see the world around them, augmented with graphics. AR headsets let Parkinsons patients live their daily lives with minimal disruption, while also collecting data for clinicians to study.

However, its not enough just to collect data points.

What do you do when you have all that data? said Szafir, an assistant professor of computer science. How do you make it intuitive? How do you help people leverage their own expertise so that you dont have to be professional data scientists to make sense of all this information thats flowing in?

Doctoral research assistant Jade Kandel played a lead role fleshing out the PD-Insighter software and its desktop-based overview dashboard, which labels the patients actions throughout the day and highlights freezes or motor deficits that clinicians can sort through in minutes instead of hours.

The team also worked on an immersive replay component, which allows clinicians through their own AR headsets to replay a patients activities. The replay allows clinicians to view a 3D body skeleton of their patients and even see digital recreations of the patients environment, such as furniture the patient may use for support.

The more the Parkinsons Project team develops these tools and collaborates with medical researchers, the more they see the potential to serve not just Parkinsons patients but provide support for a wide variety of medical ailments, like stroke patients or people rehabilitating from surgery.

I love thinking about that. Yes, this is great for Parkinsons but it can also be applied to so many different conditions for rehabilitation, Kandel said.

These are the principal investigators of the Parkinsons Project:

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Computer science team uses AR to treat Parkinson's | UNC-Chapel Hill - The University of North Carolina at Chapel Hill

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Chancellor’s Summer Research Excellence Fund Focuses on AI – Stony Brook News

State University of New York Chancellor John B. King, Jr. has announced the second year of the Chancellors Summer Research Excellence Fund, which will provide over 150 undergraduates with paid internships this summer at eight campuses, including Stony Brook University.

As part of the 2024 State of the State agenda, Governor Kathy Hochul has proposed the Empire AI initiative, which will provide SUNYs four university centers and other leading New York research institutions with the opportunity to conduct groundbreaking research and lead the nation in artificial intelligence research and economic development, with an emphasis on the use of AI to advance the public good.

To help support Empire AI and the nation leading work New York is doing around artificial intelligence, at least 22 of the 2024 Chancellors Summer Research Excellence Fund paid internship experiences will focus on roles in AI and the need to increase diversity, equity, and inclusion in AI research and development.

Like the invention of the printing press, the radio, or the internet, once every generation, a technological wave comes along that changes how we live, said King. That is why it is critical we provide internship experiences to students in the growing field of Artificial Intelligence to apply AI to solve problems, to learn about AI ethics, and to increase diversity in STEM fields researching and innovating in this emerging technology. Internships are absolutely vital to student success, as they offer experiences students would not otherwise get in the classroom alone.

The internship program will expand research opportunities to students with financial need, first-generation students, and others who may face barriers to securing research experiences. Participating campuses include Stony Brook, University at Albany, Binghamton University, University at Buffalo, Downstate Health Sciences University, SUNY College of Environmental Science and Forestry, SUNY Polytechnic Institute, and Upstate Medical University.

The Summer Research Excellence Fund, which is supported by SUNYs Empire Innovation Program, covers all student costs for the internship including, but not limited to, student stipend/salary, tuition/fees, housing, meal plans, childcare, and transportation.

These internships will be in fields including biology, artificial intelligence, machine learning, cybersecurity, physics, astronomy, engineering, medicine, life sciences, chemistry, computer science, and clean energy.

As Stony Brook prepares its bright and talented students to lead the next generation of scientific research, ensuring the future of STEM education and innovation is inclusive, equitable, diverse and collaborative is a top priority, said Stony Brook University President Maurie McInnis. The generous and visionary support of the Chancellors Summer Research Excellence Fund makes it possible for our students to excel at the highest levels by obtaining hands-on research opportunities in critical fields, such as artificial intelligence, climate science, and clean energy.

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Chancellor's Summer Research Excellence Fund Focuses on AI - Stony Brook News

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21 UC faculty named 2024 Sloan Research fellows – University of California

Twenty-one University of California faculty have been named 2024 Sloan Research fellows, a prestigious award that recognizes rising stars among early-career scientists and scholars, the Alfred P. Sloan Foundationannounced today(Feb. 20).

More Sloan fellows are affiliated with UC than any other institution granted the awards this year. UCs fellowship-winning faculty are spread across 7 campuses, as shown in the table below.

Winners receive a two-year, $75,000 award which can be used flexibly to advance their research.

Bestowed this year to 126 of the brightest young scientists across the U.S. and Canada, Sloan Research fellowships are some of the most competitive and prestigious awards available to early-career researchers, honoring their creativity, innovation and research accomplishments. They are also often seen as a marker of the quality of an institutions science faculty and proof of an institutions success in attracting the most promising junior researchers to its ranks.

Sloan Research fellowships are extraordinarily competitive awards involving the nominations of the most inventive and impactful early-career scientists across the U.S. and Canada, said Adam F. Falk, president of the Alfred P. Sloan Foundation. We look forward to seeing how fellows take leading roles shaping the research agenda within their respective fields.

Counting this years awardees, 753 faculty from the University of California have received a Sloan Research fellowship since the awards inception in 1955. The award is prestigious in part because so many past fellows have gone on to become distinguished figures in science. To date, 57 fellows have received a Nobel Prize, 71 have won the National Medal of Science, 17 have won the Fields Medal in mathematics, and 23 have won the John Bates Clark Medal in economics.

The awards are open to scholars in seven different scientific and technical fields chemistry, computer science, Earth system science, economics, mathematics, neuroscience, and physics and nominations are made by fellow scientists. Winners are selected by independent panels of senior scholars on the basis of a candidates research accomplishments, creativity and potential to become a scientific pathbreaker.

This years UC Sloan fellows are:

University of California, Berkeley

Kwabena Bediako, chemistry Meng-meng Fu, neuroscience Nika Haghtalab, computer science Michael Lindsey, mathematics Dipti Nayak, Earth system science Geoff Penington, physics Penny Wieser, Earth system science Preeya Khanna, neuroscience Yakun Sophia Shao, computer science

University of California, Davis

Theanne N. Griffith, neuroscience

University of California, Merced

Shahar Sukenik, chemistry

University of California, San Diego

Vineet Augustine, neuroscience Abdoulaye Ndao, physics Monique L. Smith, neuroscience

University of California, San Francisco

Vijay Mohan K Namboodiri, neuroscience

University of California, Santa Barbara

Chenhao Jin, physics Xiao Luo, physics Vojtech Vlcek, chemistry Yang Yang, chemistry

University of California, Santa Cruz

Roxanne Beltran, Earth system science Jacqueline M. Kimmey, neuroscience

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21 UC faculty named 2024 Sloan Research fellows - University of California

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