Category Archives: Data Science
What Is An IoT Ecosystem: Examples And Diagram – Dataconomy
The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. However, to unlock the full potential of IoT data, organizations need to leverage the power of data science. Data science can help organizations derive valuable insights from IoT data and make data-driven decisions to optimize their operations.
Coherence between IoT and data science is critical to ensure that organizations can maximize the value of their IoT ecosystems. It requires a deep understanding of the interplay between IoT devices, sensors, networks, and data science tools and techniques. Organizations that can effectively integrate IoT and data science can derive significant benefits, such as improved efficiency, reduced costs, and enhanced customer experiences.
An IoT (Internet of Things) ecosystem refers to a network of interconnected devices, sensors, and software applications that work together to collect, analyze, and share data. The ecosystem consists of various components, including devices, communication networks, data storage, and analytics tools, that work together to create an intelligent system that enables automation, monitoring, and control of various processes.
IoT protocols 101: The essential guide to choosing the right option
Some key characteristics of an IoT ecosystem include the following:
An IoT ecosystem diagram is a visual representation of the components and relationships that make up an IoT ecosystem. It typically includes devices, communication networks, data storage, and analytics tools that work together to create an intelligent system.
The diagram provides a high-level overview of the ecosystem and helps to visualize the various components and how they are interconnected. It can also be used to identify potential areas for improvement and optimization within the system.
IoT ecosystem architecture refers to the design and structure of an IoT system, including the various components and how they are connected.
There are several layers to an IoT ecosystem architecture, including:
IoT ecosystems play an important role in data science, as they generate vast amounts of data that can be used to drive insights and optimize processes.
Some ways that IoT ecosystems contribute to data science include:
IoT ecosystems provide a rich source of data that can be used to drive insights and optimize processes, making them a valuable tool in the data science toolkit.
IoT ecosystems are composed of various components that work together to collect, process, and transmit data.
IoT ecosystems consist of both hardware and software components that work together to enable automation, monitoring, and control of various processes. Some of the key hardware and software components of IoT ecosystems include:
Each component in an IoT ecosystem plays a critical role in enabling the system to function effectively. Understanding the role of each component is essential in designing and optimizing IoT ecosystems. Some of the key roles of each component in IoT ecosystems include:
Choosing the right components for IoT ecosystems is essential in ensuring that the system functions effectively and efficiently. Some of the key reasons why choosing the right components is important to include:
Designing and implementing IoT ecosystems can be challenging due to various factors, such as the complexity of the system, the diversity of devices, and the need for interoperability. Some of the common challenges in designing and implementing IoT ecosystems include the following:
Overcoming the challenges of designing and implementing IoT ecosystems requires a combination of technical expertise, strategic planning, and effective execution. Some of the solutions for overcoming IoT ecosystem design and implementation challenges include:
Designing IoT ecosystems for data science requires careful planning and execution. Some of the best practices for designing IoT ecosystems for data science include:
Designing IoT ecosystems for data science requires a combination of technical expertise, strategic planning, and effective execution, and organizations need to adopt best practices to ensure success.
IoT and machine learning: Walking hand in hand towards smarter future
Data science plays a critical role in optimizing IoT ecosystems by enabling organizations to derive insights from the vast amounts of data generated by IoT devices and sensors. Data science can help organizations identify trends and patterns, predict future events, and optimize processes.
Some of the key ways that data science can be used to optimize IoT ecosystems include:
Leveraging data science to optimize IoT ecosystem performance requires a combination of technical expertise, strategic planning, and effective execution. Some of the key steps involved in leveraging data science to optimize IoT ecosystem performance include:
There are several examples of data science applications in IoT ecosystems. Some of the key examples include:
IoT ecosystems pose significant security and privacy challenges due to the sheer volume of data generated by numerous devices and sensors. The data can include highly sensitive information, such as biometric data, personal information, and financial details, making it critical to ensure that it is secured and protected.
One of the significant concerns is device security, where the devices are vulnerable to hacking, compromising their integrity and privacy. Network security is also a concern, where the data transmitted over the networks may be intercepted and compromised. Data privacy is another critical concern where there is a risk of unauthorized access to the vast amounts of sensitive data generated by IoT devices.
Devices and sensors are vulnerable to various types of attacks, including malware, distributed denial-of-service (DDoS) attacks, and phishing scams. These attacks can compromise the security of the devices and data generated, leading to devastating consequences.
Data breaches are another concern where the vast amounts of data generated by IoT devices need to be stored and transmitted securely. Any breach of the data can expose sensitive information, leading to privacy violations, identity theft, and other serious consequences.
Security and privacy concerns can have a significant impact on data science in IoT ecosystems. Data quality can be compromised due to security and privacy concerns, leading to incomplete or inaccurate data that can affect the effectiveness of data science. The volume of data that is available for analysis may also be limited due to security and privacy concerns. Furthermore, security and privacy concerns can make it challenging to store and transmit data securely, increasing the risk of unauthorized access and misuse.
Building trust in IoT ecosystems: A privacy-enhancing approach to cybersecurity
Ensuring security and privacy in IoT ecosystems requires a combination of technical expertise, strategic planning, and effective execution. Some of the best practices for ensuring security and privacy in IoT ecosystems include:
Ensuring security and privacy in IoT ecosystems are essential in enabling organizations to leverage data science to optimize their systems. Implementing best practices can help organizations minimize security and privacy risks and derive maximum value from their IoT ecosystems.
In closing, the combination of IoT and data science offers a world of endless possibilities for organizations looking to optimize their systems and processes. However, it also presents significant challenges, particularly around security and privacy.
To ensure the coherence of IoT and data science, organizations must take a comprehensive approach to data management and security, adopting best practices and adhering to industry standards. By doing so, they can unlock the full potential of their IoT ecosystems, derive valuable insights from their data, and make data-driven decisions that drive growth and success.
As IoT continues to evolve and expand, organizations that can effectively leverage data science to analyze IoT data will be well-positioned to thrive in the digital age.
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Tip of the Iceberg podcast: Kroger’s data science company on … – The Packer
You know the saying, "It's not all about you?"
Well, it is when it comes to what consumers want from their fresh fruit and vegetable shopping experience. They want personalization.
Retailers can use this knowledge to answer these questions: How can retailers use their produce-shopper data to sell more produce, to gain and retain consumer loyalty and to keep shoppers engaged?
Kroger's retail-data science,insights and media company, called84.51, has been studying these questions. Becky Eldredge, vice president of commercial customer media and loyalty at84.51, has some answers.
Listen to this episode of the "Tip of the Iceberg" podcastfor a chat with Eldredge about the company's research and findings. And learn what retailers and produce marketers can do with this knowledge.
Expect to take away from this podcast:
Another episode to try: The Fresh Market's Gerrick Polinsky on training personal shoppers
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Tip of the Iceberg podcast: Kroger's data science company on ... - The Packer
Aware March Madness Collaboration Study Finds Office Picks on … – PR Newswire
Employee Collective Proves Highly Accurate Based on Collaboration Data
COLUMBUS, Ohio, April 3, 2023 /PRNewswire/ -- Aware, a leader in collaboration intelligence, has analyzed over 400 million anonymized employee conversations in online collaboration environments between February 1 and March 31 to provide insights on the NCAA March Madness tournament. The study is part of ongoing research to evaluate conversational data for broader insights into employee sentiment and the crossover between organizational intelligence and business impact.
The Aware Data Science team analyzed employee sentiment surrounding each NCAA team, comparing it against Vegas bookmaker odds to determine if there was a correlation. The research was conducted using the Aware collaboration intelligence platform and proprietary Natural Language Processing (NLP) models which identify, analyze and deliver contextual intelligence sourced directly from the authentic voice of the employee in real time collaboration environments including Slack and Teams.
Key findingsinclude:
"The data surprised us with unexpectedly high correlations between workplace sentiments and the actual outcomes of the NCAA tournament," said Jason Morgan, PhD, and Head of Data Science at Aware. "When compared against the Vegas odds and other predictors, our models found a high degree of accuracy coming from the collective voice of the employee across collaboration channels where people where highly engaged, talking, sharing, and emoting about their March Madness predictions."
"Look at the information gleaned from the employee voice on March Madness and imagine applying the same degree of accuracy to understanding business-critical insights," said Jeff Schumann, CEO and founder of Aware. "Collaboration channels are a trove of highly accurate organizational intelligence if businesses can leverage the data, listen, analyze, and apply their workplace intelligence to inform their operations. But too often companies can't get their ear to the ground and are fixated on generating content, rather than listening."
For more information about Aware and its solutions, please visit: https://www.awarehq.com.
About AwareFounded in 2017 and headquartered in Columbus, Ohio, Awareis a global leader in contextual intelligence that identifies and reduces risk, maintains compliance, and uncovers new business insights from conversations at scale. Consolidate, enrich, search, and manage data across tools like Slack, WorkJam, Teams and Zoom for immediate visibility across the organization. Aware's comprehensive platform empowers executives with organizational insights, while also helping legal, compliance, information security, and IT professionals to address the modern challenges of enterprise collaboration: archiving, monitoring, DLP, eDiscovery, retention and legal holds. Aware is a strategic platform integration partner to Microsoft, Slack, and Workplace from Meta. AstraZeneca, Memorial Health System, Sun Life Financial, BT Group, Farmers Insurance and Mercado Libre are among the global business leaders that trust Aware for contextual intelligence. Aware is consistently recognized by Gartner analysts as a market leading vendor, distinguished in 2022 reports: Magic Quadrant for Enterprise Information Archiving; Market Guide for Insider Risk Management Solutions; Market Guide for Voice of the Employee Solutions; Vendor Identification for Data Loss Prevention Toolkit. Learn more at http://www.awarehq.com.
Media ContactLee RegalLumina Communications for Aware[emailprotected]
SOURCE Aware
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Aware March Madness Collaboration Study Finds Office Picks on ... - PR Newswire
What Delivery Apps Reveal About Food Disparities in Los Angeles … – USC Viterbi School of Engineering
A map of the LA food environment shows more nutritious options clustered in more affluent areas. Image/Abigail Horn
Its midweek, and the fridge is bare. How do you stave off the gnawing hunger? Perhaps you turn straight to your favorite local takeout or a trusty delivery app to get that food fix.
For one researcher at USC Viterbi School of Engineering, delivery apps and online menus are an even more valuable resource. The digital menu information offered by online ordering sites represents a big-data goldmine that can give us a detailed map of the nutrition of Angelenoswhere disparities in food access exist and how we can address them.
Abigail Horn, research assistant professor in the Daniel J. Epstein Department of Industrial and Systems Engineering and the USC Information Sciences Institute, studies how data can increase our understanding of eating behavior, diet and health. Her latest work aims to build a map of the nutritional quality of the urban foodscape in Los Angeles, using machine learning to analyze information on digital menus for all restaurants, from top-100 chains to small mom-and-pop operations.
The results will help inform public health research, which generally relies on overly simplistic measures of food environment nutritional quality. The work will ultimately inform decisions with the potential to improve zoning policies to increase access to healthy, nutritional options in disadvantaged communities.
The NIH National Institute of Minority Health recently awarded the project the Top Poster award at the inaugural workshop of the Health Equity in Action Annual Workshop.
The research is centered on identifying where healthy and unhealthy food outlets are located. The work has a particular focus on where unhealthy outlets are clustered in the city, and where there is low access to healthy food. These areas are often known as food swamps neighborhoods with a high concentration of low-quality fast-food outlets, liquor stores and convenience stores and a lower concentration of fresh food outlets and grocery stores.
A cyclist delivers for Uber Eats. Image/Robert Anasch.
Existing public health research frequently characterizes food environment nutritional quality by focusing on the number of food outlets in a neighborhood within each business listing category, for example, using the North American Industry Classification System (NAICS)categorization of food outlets which differentiates limited service from full service restaurants and grocery. outlets. Limited service restaurants are often used as a proxy for fast-food outlets, which are in turn considered an indicator of poor nutritional options. It does not consider a newer generation of limited service restaurants that offer menu alternatives such as salads, grain bowls, and wrapsthink Sweetgreen, Veggie Grill or Chipotle. Harnessing this classification system, a neighborhoods proximity to a grocery store would be the only positive indicator of nutritional outcomes.
Horn said that these types of categorizations make it difficult to gain an accurate overview of the nutrition of the city and which residents faced disparities in access to healthy food.
If its fast food, its unhealthy, Horn said, or if its a grocery store, its healthy, because there is some fresh food there. Were really missing the diversity of nutritional quality within these categories and across categories. There is so much digital menu data available, and so the idea of the project was to use that data to create a more refined indicator of the nutritional quality of the food on offer.
The key hurdle the project faced was that restaurants are not required to publish their nutrient information, aside from chain brands with 20 or more outlets. For non-chains, the available information is limited to how these businesses describe individual dishes on their menus.
In work together with Computer Scientist at the USC Information Sciences Institute Keith Burghardt, Andrs Abeliuk from the University of Chile and USC Viterbi Master of Science in Applied Data Science student Alex Seo, Horn developed a model that estimated the nutritional value of menu items across a broad cross-section of restaurants. The teamhas partnered withEdamam, a food database and provider of nutrition data and analytics, which is sharing data to power the model.
Thats where the machine learning comes in. Edamam has created an impressive database of what we call generic food items, which they developed through their own proprietary analysis of over 50 million recipes online. So we use that to train a neural network to predict the nutrient distribution of a food item, Horn said.
The neural network was also refined with the help of a fastText language embedding model, a simple pre-trained text-based model. Horn said when the model is used together with data from the recipe databases, this gives additional context to food words on menus and how the terms are used together, thereby improving the predictions.
Horn also used data from another company, Nutritionix, to gather detailed nutrition and ingredient content data from large chain restaurant menus.
Abigail Horn Research Assistant Professor in the Daniel J. Epstein Department of Industrial and Systems Engineering and the USC Information Sciences Institute
We are also accessing data from websites like Yelp, Horn said. In addition, Edamam, the nutrition data company that shared the generic meal data with us, had previously done some scraping of restaurant menus from across the country. Next we will be applying the algorithm to restaurants in this database and use it to investigate disparities in the urban foodscape in LA.
The project is funded by the Southern California Center for Latino Health, and Horn said a key focus is to better understand and capture the types of restaurants and food options available in areas with predominantly Latino residents.
Initial findings examined around 1000 restaurants in the region, all within the limited service NAICS category and found a wide distribution in the nutritional quality of the menus.
Within that one category of limited service restaurants, we see a huge diversity of nutritional scores. When we plot those on the map you see there are some pretty clear geographical patterns in where the healthier outlets within that category are located, Horn said. What we see is that the unhealthiest outlets are almost uniformly distributed across the map. They are everywhere. The healthiest outlets are clustered only in the more affluent neighborhoods.
It may seem like theres a food swamp in Venice because there are still a lot of unhealthy outlets but when you examine it, there are also a lot of salad joints there. Thats something we dont see in East or South LA, she said.
As the project expands, Horn said that she hoped it could be a tool for public health researchers to paint a more accurate nutritional picture of the city.
It would be wonderful if it could help inform policy around rezoning in neighborhoods, Horn said, and help to create quantified metrics of where we have disparities and the true nutritional quality of food outlets.
Horn said there are federal food financing initiatives that invest money into improving food environments and incentivizing new healthy outlet options and grocery stores.
In those kinds of financing schemes, that could be a scenario where we can help identify neighborhoods that truly have extreme disparities, instead of relying on business listing categories to tell us what might be unhealthy and needs reforming, she said.
Published on April 3rd, 2023
Last updated on April 3rd, 2023
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The renewable energy industry cannot find enough data scientists to … – Current News
A survey by the Energy Systems Catapult has revealed that 40% of businesses in the energy sector found it very difficult to hire data scientists with the right skills.
The survey also found that 68% of data science teams had been created within the last 5 years, and that 39% of teams had four members or less.
The results show that as the renewable energy sector increases capacity, it is likely to encounter problems in hiring staff to meet demands, particularly in data analysis roles.
Dr Stephen Haben, digital and data consultant at Energy Systems Catapult, noted that, We expect that as the opportunities from the energy sector become more evident, there will be a rapid uptick in organisations trying to build their data capabilities. We have already witnessed the gradual occurrence of this over the last five years, and as this is ramped up, it will put further stress on recruitment and training.
According to the Energy Systems Catapult, domain knowledge and coding skills are two of the most prominent weaknesses and are hindering efforts to produce operational implementation of the algorithms data scientists develop.
As well as the ability to code in Python and use Excel, skills which are largely already present in the sector, more diverse skills are required such as natural language processing and data engineering.
If we do not demonstrate the exciting challenges facing the industry or provide the necessary upskilling to the next generation of data scientists, then the energy industry risks losing out to other sectors such as social media and FinTech, Dr Stephen Haben said.
The findings were presented by the Energy Systems Catapult in a useful infographic.
Earlier this month, the New Economics Foundation reported that the UK was unprepared to upskill the number of people required to create a low carbon economy. Public spending on both higher education and on adult education has fallen dramatically since 2010.
The energy industry more widely is experiencing a period of flux, as transition to a decarbonised system is leading to a surge in demand for those in clean energy profession. A report by the Global Energy Talent Index in February suggested a number of measures to hire and retain managers in the renewable energy sector.
Fundamentally, demand from the green energy sector is outstripping supply, with a report from PwC showing that green jobs are currently growing at four times the rate of the overall UK employment market with the number of jobs advertised in 2022 growing by around 300% to 336,000 positions.
A similar increase can be seen in the demand for solar installers, with positions growing by 315%, according to data from hiring platform Indeed.
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The renewable energy industry cannot find enough data scientists to ... - Current News
Charlotte research expenditures among top third in U.S., led by … – Inside UNC Charlotte
UNC Charlottes upward trajectory toward top-tier research university status is supported by a recent national report of research expenditures for U.S. colleges and universities.
In the latest National Science Foundation Higher Education Research and Development Survey, Charlotte moved into the top third of all U.S. colleges and universities for fiscal research expenditures.
During the past decade, UNC Charlotte was among the fastest-growing universities in the nation, and with increased investment from federal and state sources, our research has flourished exponentially, said Chancellor Sharon L. Gaber.
According to the report, Charlottes research expenditures have risen 87% since 2012.The Universitys number of doctoral graduates has grown 62%, too, according to the NSF Earned Doctorate rankings.
CCI faculty conducting innovative research
Leading the Universitys efforts is the College of Computing and Informatics, which, according to the recently released 2021 NSF HERD report, now ranks 39th in the U.S. for research expenditures in the area of computer and information sciences and second among North Carolina universities.
CCI Dean Bojan Cukic said the college has seen considerable growth in research funding during the past decade.
Our faculty expertise in cybersecurity, bioinformatics and genomics, and artificial intelligence is attracting higher levels of federal funding, he noted. For the college, it aids in attracting new faculty in these areas of research excellence, and for students, it ensures they are receiving a high-quality education that will prepare them to excel in their professional careers or advanced studies.
Charlotte is the No. 1 producer of computer science bachelors degrees in North Carolina, and the Queen City has become a top city for startups and a top 10 Tech Town, according to CompTIA. CCI is providing the talented, diverse tech workforce that will drive continued economic development for the region.
Key focus areas: CIPHER, cybersecurity and AI
Through investment from the General Assemblys Engineering a Smart and Secure Future for North Carolina, Charlotte will grow enrollments in computer science, data science and engineering by more than 2,000 students during the next five years. The Universitys School of Data Science was the first of its kind in the Carolinas.
Special state legislative funding for the Center for Computational Intelligence to Predict Health and Environmental Risks is powering its efforts to understand, prevent and combat future outbreaks of known and unknown infectious diseases. CIPHER, as it is known, features 20-plus experts from bioinformatics, engineering and data science to biology, mathematics and computer science, and more who are combining forces to identify vital connections among the worlds natural environment, interactions with animals and human health.
Cybersecurity is an area in which Charlotte has been a national leader for more than 20 years. CCI houses a Center of Academic Excellence in Cyber Defense Education and Research as designated by the National Security Agency and Department of Homeland Security. Researchers are leading the investigation not only into how to keep governments and industries safe from unwarranted electronic intrusion but private homes as well.
Artificial intelligence, increasingly in the news, has wide-ranging applications from autonomous modes of transportation to affecting the boundaries of machine intelligence and human creativity. CCI faculty and students have created unmanned aerial vehicles that can survey and report a scene of a road accident, developed automated chatbots and conversational agents, and designed computer vision and analytics applications that improve customer experience at major retail stores.
Shaping What's Next, UNC Charlotte's 10-year strategic plan, lays out a new vision as an emerging top-tier global research university to support the fast-growing Charlotte region.
UNC Charlottes upward trajectory is a win-win for the region, said Gaber. As we have seen in cities across the U.S., top-tier public research universities drive innovation and supercharge businesses, helping to advance economic mobility in their regions.
Commercializing research
Charlotte is among national leaders in commercializing its research. Since 2018, University researchers have been awarded 87 new patents. According to the Association of University Technology Managers, Charlotte ranks in the top 10 nationally per research dollar spent for the number of new patents filed, new patents approved and new startup ventures formed.
Gaber noted greater support for Charlottes burgeoning research enterprise will enable the region to better compete against other metropolitan areas when it comes to attracting new industry jobs and business relocations and other investments.
About the NSF Higher Education Research and Development Survey
The Higher Education Research and Development Survey is the primary source of information on research and development expenditures at U.S. colleges and universities. The survey collects information on R&D expenditures by field of research and source of funds and also gathers information on types of research, expenses, and headcounts of R&D personnel. The survey is an annual census of institutions that spent at least $150,000 in separately accounted for R&D in the fiscal year.
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Charlotte research expenditures among top third in U.S., led by ... - Inside UNC Charlotte
10,000 AI and Data Science Conversion Masters Scholarships – University of Birmingham
The AI and Data Science Conversion Masters Scholarships will be awarded to more than 120 candidates beginning Masters study in 2023.
In addition to having either an unconditional or conditional offer for a place on a University of Birmingham Data Science or AI related Masters course, applicants will need to demonstrate that they are categorised under at least one of the 9 underrepresented groups as identified by the OfS.
Applications for scholarships will initially be reviewed using a points-based system. Priority for these awards will be given to applicants in the following categories:
Consideration will also be given to applicants who meet other underrepresented criteria in the following secondary categories:
All applications will be assessed and priority will be given to criteria 1-3. Applicants who do not meet any of the criteria above will not be considered for a scholarship.
Students must have not studied a STEM or a far-STEM degree subject before. You must be either:
You must not have studied:
The awards will be allocated on the basis of merit simply meeting the eligibility criteria will not guarantee that an application is successful. We will adopt a gathered field approach where decisions on the allocation of all 100 awards will be considered by a single scholarship selection panel.
Selection will be determined by a University scholarship panel based on the following criteria:
All applications will be assessed and priority scoring will be given to criteria 1-3.
Scoring will prioritise:
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10,000 AI and Data Science Conversion Masters Scholarships - University of Birmingham
Faculty Researchers to Explore Privacy Issues in Honors Forum – University of Arkansas Newswire
Photo by Zabou
Graffiti in Shoreditch, London, UK.
The data-driven products on our devices claim to personalize user experience and improve our time online. But what are the potential risks of this data gathering, and where does our personal information go? Moreover, what rights do we hold over our information today? What does privacy mean in 2023?
These questions will be examined in the U of A Honors College course Privacy, a daily online forum that will be offered May 15-26. The forum is organized by Honors Arkansas, an alliance of colleges across the state committed to enhancing student excellence.
Privacy represents an interdisciplinary collaboration among honors colleges and programs, notes Honors College Dean Lynda Coon. The goal is to take a deep dive into pressing subjects of great interest to this generation of students.
Privacy will bring together faculty experts across disciplines to examine current controversies related to privacy. Perspectives will span anthropological readings of privacy, data science and the ethics of privacy, cybersecurity, legal and constitutional definitions of privacy, philosophies of privacy, medical readings of privacy, archival secrets, state surveillance and individual privacy, architectures of privacy as well as privacy and the supply chain system.
Honors students may enroll in the course, and members of the community are invited to sit in. All who wish to view the course sessions online shouldfill out the interest form.
Through its interdisciplinary investigation of privacies, the forum will prepare students to tackle contemporary problems related to privacy with historical and cultural competencies.
One of those sessions will be led by Micah Hester, professor and chair of the Medical Humanities and Bioethics Department at the University of Arkansas for Medical Science, and will focus on privacy in healthcare.
It is a fundamental obligation of medicine to keep patient information confidential, but is that really even possible? Hester asked.
Hester will explore the debates around protecting ones personal information amid public health considerations, including threats of pandemics, sanitation, bioterrorism and the more daily threat of spreading disease.
Simon Hawkins, a professor of anthropology at University of Arkansas at Little Rock, will lead another session examining cultural conceptions of private and public life.
As we look to struggles over privacy in the future, we need to be aware of its history and the various ways cultures have grappled with the relationship of the individual and the society, he said. Our thoughts about privacy are not separatefrom our larger social structures but have been intertwined throughout history.
Over two weeks, honors instructors across Arkansas will present on additional topics ranging from cybersecurity to the design of private spaces.
Presenters include:
Recordings of each class will be posted online after each session to theHonors College website.
About Honors Arkansas:Honors Arkansasis an alliance of honors colleges and programs from across the state collectively working to enhance the scholarly, professional and social experiences of high-achieving students. Each May Intersession, Honors Arkansas partners honors scholars with faculty from multiple institutions with the goal of diving into pressing subjects of great interest to the current generation of students.
About the U of A Honors College:Established in 2002, the University of Arkansas Honors College helps the universitys top undergraduate students excel academically, flourish personally and experience a world of opportunities. Each year the Honors College awards up to 90 freshman fellowships that provide $72,000 over four years, and more than $1 million in undergraduate research and study abroad grants. The Honors College is nationally recognized for the high caliber of students it admits and graduates. Honors students enjoy small, in-depth classes, and programs are offered in all disciplines, tailored to students academic interests, with interdisciplinary collaborations encouraged. Fifty percent of Honors College graduates have studied abroad and 100 percent of them have engaged in mentored research.
About the University of Arkansas, Fayetteville:As Arkansas' flagship institution, the U of A provides an internationally competitive education in more than 200 academic programs. Founded in 1871, the U of A contributes more than$2.2 billion to Arkansas economythrough the teaching of new knowledge and skills, entrepreneurship and job development, discovery through research and creative activity while also providing training for professional disciplines. The Carnegie Foundation classifies the U of A among the top 3% of U.S. colleges and universities with the highest level of research activity.U.S. News & World Reportranks the U of A among the top public universities in the nation. See how the U of A works to build a better world atArkansas Research News.
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Faculty Researchers to Explore Privacy Issues in Honors Forum - University of Arkansas Newswire
What’s the key to living longer? New study suggests a hidden secret – USA TODAY
Could living underwater slow aging? One scientist aims to find out.
Joseph Dituri, a U.S. Navy diver for 28 years, will be 30 feet underwater at Jules Undersea Lodge in Key Largo, Florida, to conduct aging research.
Scott L. Hall, USA TODAY
Throughout history, brilliant minds have tried to figure out the secret behind living longer. Much of the research has credited diet and exercise, but a group of scientists expanded on previous datato suggest another theory.
Researchersfrom Boston University and Tufts Medical Center found people who live to be 100 years old or older called centenarians may have a unique composition of immune cells thats highly protective against illnesses, according to a study published Friday in the peer-reviewed journal Lancet eBiomedicine.
Our data support the hypothesis that centenarians have protective factors that enable (them) to recover from disease and reach extreme old ages, said lead author Tanya Karagiannis, a senior bioinformatician at the Center for Quantitative Methods and Data Science, and Institute for Clinical Research and Health Policy Studies at Tufts Medical Center.
People with normal immune systems are exposed to infections, recover from them, and learnto adapt from future infections. While the immune systems ability to respond to infections declines with age, scientists hypothesized this may be different for centenarians.
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Researchers analyzed immune cells circulating in the blood taken from seven centenarian participants in North America and identified immune-specific patterns of aging and extreme human longevity.
They compared this information with other publicly available data that looked at immune cells from people ranging across the human lifespan and found centenarians immune profile did not follow trends associated with natural aging.
The findings provide support to the hypothesis that centenarians are enriched with protective factors that increase their ability to recover from infections, said senior author Paola Sebastiani,director of the Center for Quantitative Methods and Data Science, and Institute for Clinical Research and Health Policy Studies at Tufts Medical Center.
Clues to escaping Alzheimer's
Doug Whitney inherited the same gene mutation that gave Alzheimers disease to generations of relatives by the average age of 50. Yet at 73, his mind is sharp. To scientists he offers a chance to learn how the body may resist Alzheimers. (March 16) (AP video: Shelby Lum)
AP
It's unclear if this unique immunological ability is genetic, naturally occurring, or a confluence of outside factors, said senior author Stefano Monti,associate professor of medicine, biostatistics, and bioinformaticsat Boston University's school of medicine.
"The answerto what makes you live longer is a very complex one," he said. "There's multiplefactors, there's the genetics what you inherit from a parent, there's lifestyle, there's luck."
Study authors hopethe report'sfindings build on existing research that could help develop therapeutics for the worlds aging population.
Centenarians, and their exceptional longevity, provide a blueprint for how we might live more productive, healthful lives, said senior author George J. Murphy, associate professor of medicine at Boston Universitys school of medicine.
Follow Adrianna Rodriguez on Twitter: @AdriannaUSAT.
Health and patient safety coverage at USA TODAY is made possible in part by a grant from the Masimo Foundation for Ethics, Innovation and Competition in Healthcare. The Masimo Foundation does not provide editorial input.
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What's the key to living longer? New study suggests a hidden secret - USA TODAY
dunnhumby appoints Prithvesh Katoch as new Head of dunnhumby … – PR Newswire
Known for his values-driven leadership,Prithveshbrings more than a decade of rich experience withdunnhumbyin key positions across the company's data business.
GURUGRAM, India, April 3, 2023 /PRNewswire/ -- dunnhumby, a world leader in Customer Data Science, has appointed PrithveshKatochasits new Head of dunnhumby India.
In addition to his current role as Global Head of Client Data Services, Prithvesh will be responsible for the management of operations, compliance, governance, and providing country leadership to dunnhumby India. Prithvesh joineddunnhumby a decade ago and has played a pivotal leadership role in managing clients' data.
Under his leadership, the teamhave evolvedas data andproduct specialists, ensuring compliance with all regulations while providing the flexibility for data scientists and products to add value for dunnhumby customers. Prithvesh has played a key role inbuilding a highly motivated global teamof big data engineers and data consultants.
"The India office has been successfully operating as a key strategic location for dunnhumby for the past 15 years. I am excited to work more closely with our talented and passionate team to not only generate value for dunnhumby and our clients, but also accelerate our plans for global growth," addsPrithvesh.
dunnhumby is one of the fastest-growing customer data science companies in India and has a workforce of over 730 professionals with plans to grow further in the coming years. The team in India is at the forefront of developing the best products and science using a variety of techniques and tools including highly scalable cloud-hosted models, Machine Learning and Artificial Intelligence.
About dunnhumby India
Established in 2008, dunnhumby Indiais a hub ofData Engineering, Data Science,and Product Development with deepexpertisein Price & Promotions, Category Management, Customer Strategy & Insights, Customer Engagement,and Media delivery. The teams in India play a key role for clientsspread globallyatdistinct stagesof their journey with dunnhumby.
With a long history of Data Science and software developmentandthe ability to attract exceptional talentthrough encouraginga culture of innovation, agility and flexibility, the India office sits at the heartof global dunnhumby, influencing the success of our entire client network.It is at the forefront of developing the best products and science using a variety of techniques and tools including highly scalable cloud hosted models, Machine Learning and Artificial Intelligence.
Learn more atwww.dunnhumby.com
Contact:
Archana V, [emailprotected]
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SOURCE dunnhumby
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dunnhumby appoints Prithvesh Katoch as new Head of dunnhumby ... - PR Newswire