Category Archives: Computer Science
I Teach Computer Science and I Need to Apologise Less About Having So Much Maths – Analytics India Magazine
If you consider the evolution of the computer science (CS) field, or the way it has been taught in colleges and universities, theoretical mathematics seems to be the de facto subject that most students learn in order to make any kind of advancement in the field.
Every year I teach CS theory, I find that I need to apologise less and less about having so much maths content, said professor Boaz Barak, in a twitter post, explaining that CS practice is getting more and more mathy.
Further, he asked if students wanted to learn to read theoretical texts or directly get into coding, and the application aspect of mathematics.
Citing a diffusion paper written by Stanford University researchers, Barak said: This undergrad intro theory, and I teach neither, but the course does teach them not to be afraid of maths.
In other words, Barak pointed out at the research paper being theoretically maths heavy. He said that being able to digest new maths is becoming more practically relevant in computer science with time.
Harvard professor Yannai A. Gonczarowski believes otherwise. He said that framing non-mathy as swapping icons in HTML is detrimental in two waysfirstly, it presents things such as human-computer interaction (HCI) and large-scale software engineering/design as trivial, and secondly, it teaches students to think some fields are superior to others.
Further, he said that it is also incredibly easy to make the polar opposite comparison, albeit unfair: very abstract out there maths versus potentially providing countless, differently-abled users access they never have before. If you must compare, do so within a field. Cross-field comparisons are mostly a bad idea, added Gonczarowski.
I am not framing non mathy fields as swapping icons in HTML, said Barak, clarifying that he is framing swapping icons in HTML as swapping icons in HTML. He believes that HCI is about so much more than that. What I am saying to students is that the ability to not fear maths will open many options to them, emphasised Barak.
Associate professor at NYU, Julian Togelius said that you can indeed be successful in CS, including in machine learning, while knowing next to nothing of this maths. Just look at me, I barely passed those required theory courses, still made it here, he added.
However, Barak disagrees. He explained that you can be successful in computer science with little knowledge of maths, and can also be successful without knowing how to programme. He however suggested that it is better to know things than not to know. Which is why, even though our theory students grumble about the programming requirements. I support it, he added.
With the advent of software tools, say training neural networks, the technical barriers to entry have been lowered. To this, Barak partially agreed, and said: barriers to training NNs are lowered, but training NNs becomes more practically relevant. Citing deep learning, he said that the time between paper and product is shrinking, which makes the ability to read paper more important.
Furthering the discussion, Oskar Ojala elaborated on the practical application of maths in solving real life problems while giving an example of the success of Facebook. Disagreeing with Oskar, Alex Eisenmann said that CS without maths could give you Facebook but CS with maths has the potential to provide frameworks like AI, ML, quantum computing, and blockchain.
This stands true for some data scientists who write complex algorithms from scratch but there are others who use the pre-existing libraries in frameworks like Python that already have models that are ready to be deployed.
Discrete mathematics fields like graph theory are useful for compilers and operating systems, probability theory is used in AI, ML, and set theory is used in databases and engineering but the tools already present in the library can do the job for most CS engineers.
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Symposium on the Future of Computing Research – USC Viterbi | School of Engineering – USC Viterbi School of Engineering
Photo credit: iStock
With this symposium we ask a single, yet sweeping, question: how will, and how must, the field of computing research evolve over the next twenty years?
Forces as disparate as the increasing centrality of computing to modern society, the intellectual and technical maturing of the discipline itself, changing conceptions of the meaning of research success and the role of research in the larger national landscape, and the emergence of rich, multidisciplinary explorations as fundamental tools for progress all drive us to ask how our field will grow and change in response.Taken together, these forces are motivating a dramatic, qualitative shift in viewpoint about the expectations and demands placed on computing research in upcoming years.
With this symposium, we aim to snapshot a moment in time in this transformation, capture and clarify the fundamental forces driving it, and discuss key strategies and approaches available to the computing research community to shape both its own and societys future. Our symposium brings together informed, thought-provoking computing researchers, research policy setters and research sponsors from academia, industry, and government for a series of open discussions, explorations, and roundtables on topics of importance to future computing research, each with the opportunity for symposium participants to join and guide the conversation.
The symposium will be uniquely interactive. Options are available to participate online, or from an in-person pod in of several locations. Before, during, and after the symposium, we provide opportunities for you to shape the discussion, contribute directly to the program, and meet other participants that share your specific interests. At the conclusion of the symposium, we plan to create a sequence of reports and ongoing discussion opportunities addressing different audiences the technical community, research policy professionals, and the general public addressing the symposiums discussions and conclusions.
Keynote Address by Dr. Sethuraman Panchanathan, Director of the US National Science FoundationDr. Panchanathan will discuss the NSFs vision for the future of computing research, emerging efforts to encourage and enable interdisciplinary and multidisciplinary research that drives understanding of the interplay between computing, science, and society, and the mission and objectives of the NSFs new Directorate for Technology, Innovation, and Partnerships, which aims to drive progress by reshaping and expanding the range of research models, collaborations, and partnerships supported by the Foundation.
Fireside Chat with Dr. Eric Horvitz, Chief Scientific Officer of MicrosoftDr. Horvitz will discuss his vision of computing research as a powerful vehicle and path to enhance the quality of peoples lives. Speaking from his perspective as the Microsofts CSO, his prior role as director at Microsoft Research, and his service with key external advisory groups and organizations including the Presidents Council of Advisors on Science and Technology and the National Academies Computer Science and Telecommunications Board, Eric will examine the future of computing research in a conversation shaped by questions from colleagues and symposium participants.
Participant/Speaker Discussion Sessions covering three topics central to the future of computing researchEach of these sessions will feature three framing presentations from research community members with deep expertise in the area of interest, followed by an open discussion among the speakers and symposium participants, guided by a discussant. Symposium participants will have the opportunity to pose questions for the speakers to consider both before and during the session.
Discussion Session 1 Identifying and Emphasizing Emerging Technical Directions will examine the process of how the computing research community chooses its research directions, and how this might change to meet our communitys and societys future.
The session will consider such questions as:
Discussion Session 2 Recruiting Talent and Fostering Research Careers will examine the nature of future computing research careers, new strategies for drawing talented people to computing research, and new concepts and approaches for preparing for a computing research career.
The session will consider such questions as:
Discussion Session 3 New Models for Research and Research Support will examine the rapidly changing landscape of both research strategies and models and research funding and support.
This session will consider such questions as:
Student Roundtable Conversation with students planning to pursue a computing research careerYour chance to probe and understand this groups desires, ambitions, hopes, and concerns about their place in the future computing research landscape. An in-depth conversation with a group that is the future of computing research.
Roundtable participants will be early career researchers new PhD graduates or near-graduates considering a career in computing research. The group will be selected to represent a range of perspectives and experiences, and a discussant will be available to drive and draw out conversation. Symposium participants will have the opportunity to pose questions and suggest discussion topics both before and during the session.
Small Group Discussion TimeAn opportunity to meet informally with other symposium participants that share your interests, concerns, or challenges. Prior to the opening of the symposium, and continuing until the start of this session, the symposiums meeting platform will provide a mechanism for you to express your interests, raise questions, or otherwise indicate topics youd like to discuss, and will help you match with others that share these interests to join a discussion.
Do you want to discuss the Future of Computing Research? USCs Information Sciences Institute has a symposium for that on Sept. 12-13, 2022.Register here for freeto attend online or in person in Los Angeles, Boston, and Arlington.
Published on August 23rd, 2022
Last updated on August 23rd, 2022
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Verific’s Rick Carlson Appointed Advisory Board Member for the College of Computing at Illinois Institute of Technology – Design and Reuse
Illinois Tech Alumnus Will Serve as Advocate to Reinforce Colleges Position as Leading Creator of Computation Talent in Chicago and Beyond
ALAMEDA, CALIF. August 24, 2022 Illinois Institute of Technology (Illinois Tech) alumnus Rick Carlson (MATH 70), vice president of sales for Verific Design Automation, a leading provider of SystemVerilog, Verilog, VHDL, and UPF Parser Platforms, has been elected to the College of Computing Board of Advisors.
Carlson graduated from Chicagos comprehensive tech-focused university with a Bachelor of Science in Mathematics and was also a member of the Illinois Tech mens basketball team. Im exceptionally proud to join the College of Computings Board of Advisors, he says. Illinois Tech and the College of Computing provide students of all backgrounds with the best-in-class computational and data science platform to excel in their respective fields.
With more than 40 years of experience in the electronic design automation (EDA) industry, Carlson will help the College of Computing promote its collective power of difference to advance technology and progress for all. He will serve as an advocate to reinforce the colleges position as the leading creator of computational talent, knowledge and innovation for Chicago and beyond.
Carlson is a Lanza techVentures Investment Partner and an adviser to many EDA startups in his role as vice president of sales for Verific. He was one of the co-founders of the ESD Alliance (formerly the EDA Consortium), an industry trade association that is a SEMI Technology Community. While at Highland Software (now Flexera Software), Carlson helped launch FLEXlm, a software license manager intended for corporate environments to provide floating licenses to multiple computer software end users.
About Illinois Institute of Technologys College of Computing
Illinois Tech created the College of Computing in 2020 as part of an effort to drive Chicagos thriving tech ecosystem by educating a future diverse workforce that is rigorously trained in data and computation. Illinois Tech is home to the Midwests only Bachelor of Science in Artificial Intelligence degree, and the numerous cybersecurity and intelligence pathways at Illinois Tech explore not only the deep foundations of fast-growing fields of computer science, but also emphasize societal ethics in developing this technology. The United States Department of Homeland Security and the National Security Agency have designated Illinois Institute of Technology (Illinois Tech) as a National Center of Academic Excellence in Cyber Defense Education. The universitys Center for Cyber Security and Forensics Education (C2SAFE) is at the core of Illinois Techs designation. Additionally, the center is a member of the United States Strategic Command (USSTRATCOM) Academic Alliance and North American Defense and Security Academic Alliance (NADSAA).
About Verific Design Automation
Verific Design Automation is the leading provider of SystemVerilog, Verilog, VHDL and UPF Parser Platforms that enable project groups to develop advanced electronic design automation (EDA) products quickly and cost effective worldwide. With offices in Alameda, Calif., and Kolkata, India, Verific has shipped more than 60,000 copies of its software used worldwide by the EDA and semiconductor industry since it was founded in 1999.
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Paltry pay, poor working conditions: TN is finding it hard to get teachers for Computer Science Engg courses – EdexLive
The huge demand for Computer Science Engineering and allied courses has led tocolleges increasingseats in these subjects. They, however, claim that finding qualified teachers was hard. Several colleges have started a combination of courses in Computer Science Engineering along with Artificial Intelligence (AI), Machine Learning (ML) and Data Science (DS) to cater to the rising demand, as stated in a report by The New Indian Express.
Moreover, Anna University, the affiliating university of Engineering colleges in Tamil Nadu, has introduced a new curriculum this year, which includes the latest technology-based courses in different subjects such as Deep Learning and ML, which can be taught only by qualified teachers.
Many academicians feel that the quality of education will be compromised if an adequate number of quality teachers are not appointed by the colleges to teach these subjects. According to experts, there are several factors responsible for the scenario such as paltry pay packages and poor working conditions in private Engineering colleges across the State and lucrative jobs in the IT sector.
It's a tough taskGetting a qualified teacher to teach courses like Computer Science Engineering, AI, and ML is a huge problem. Experienced teachers are not ready to work for the salary we are paying, said the principal of a private Engineering college. The same was the case with five other private engineering colleges that TNIE visited.
KM Karthik, coordinator of All India Private Colleges Employees Union (AIPCEU), feared that students would ultimately suffer as no action would be initiated against the colleges for not hiring adequate and quality teachers.
There is, however, no dearth of quality faculty members, but the Engineering colleges are not ready to pay them what they deserve. And neither AICTE nor the State government is bothered about the problems faced by these teachers due to work pressure and poor working conditions. So, why would someone leave their high paying IT job and become a teacher, asked Karthik.
He further pointed out that recently, 225 Engineering colleges were issued show-cause notices after Anna University found lacunae in the number and quality of the faculty members, but within 15 days a majority of the colleges were granted affiliation. If everything is fine on paper, authorities are not worried if there are actually enough teachers for the students, he said.
Career guidance expert Jayaprakash Gandhi feels the motive of introducing these latest courses will be of no use if the colleges fail to hire quality faculty. We cannot make our students employable if we don't teach them AI and ML properly. We need to train our teachers in the latest updates in CSE, AI, and ML courses, said Gandhi.
Measures have been chalked outVice-Chancellor of Anna University R Velraj said he was aware of the problem and had chalked out measures to deal with it. A new curriculum has been introduced and we know it will be difficult for teachers. So, we have decided to organise training programmes for faculty members. We will call industry experts to train our faculty and will also ask affiliated colleges to do so, said Velraj. Compared with the 27,006 Computer Science and Engineering seats in 2021, this year, the number increased to 42,000.
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Researchers using artificial intelligence to assist with early detection of autism spectrum disorder – EurekAlert
image:Han-Seok Seo view more
Credit: University Relations
Could artificial intelligence be used to assist with the early detection of autism spectrum disorder? Thats a question researchers at the University of Arkansas are trying to answer. But theyre taking an unusual tack.
Han-Seok Seo, an associate professor with a joint appointment in food science and the UA System Division of Agriculture, and Khoa Luu, an assistant professor in computer science and computer engineering, will identify sensory cues from various foods in both neurotypical children and those known to be on the spectrum. Machine learning technology will then be used to analyze biometric data and behavioral responses to those smells and tastes as a way of detecting indicators of autism.
There are a number of behaviors associated with ASD, including difficulties with communication, social interaction or repetitive behaviors. People with ASD are also known to exhibit some abnormal eating behaviors, such as avoidance of some if not many foods, specific mealtime requirements and non-social eating. Food avoidance is particularly concerning, because it can lead to poor nutrition, including vitamin and mineral deficiencies. With that in mind, the duo intend to identify sensory cues from food items that trigger atypical perceptions or behaviors during ingestion. For instance, odors like peppermint, lemons and cloves are known to evoke stronger reactions from those with ASD than those without, possibly triggering increased levels of anger, surprise or disgust.
Seo is an expert in the areas of sensory science, behavioral neuroscience, biometric data and eating behavior. He is organizing and leading this project, including screening and identifying specific sensory cues that can differentiate autistic children from non-autistic children with respect to perception and behavior. Luu isan expert in artificial intelligence with specialties in biometric signal processing, machine learning, deep learning and computer vision. He will develop machine learning algorithms for detecting ASD in children based on unique patterns of perception and behavior in response to specific test-samples.
The duo are in the second year of a three-year, $150,000 grant from the Arkansas Biosciences Institute.
Their ultimate goalis to create an algorithm that exhibits equal or better performance in the early detection of autism in children when compared to traditional diagnostic methods, which require trained healthcare and psychological professionals doing evaluations, longer assessment durations, caregiver-submitted questionnaires and additional medical costs. Ideally, they will be able to validate a lower-cost mechanism to assist with the diagnosis of autism. While their system would not likely be the final word in a diagnosis, it could provide parents with an initial screening tool, ideally eliminating children who are not candidates for ASD while ensuring the most likely candidates pursue a more comprehensive screening process.
Seo said that he became interested in the possibility of using multi-sensory processing to evaluate ASD when two things happened: he began working with a graduate student, Asmita Singh, who had background in working with autistic students, and the birth of his daughter. Like many first-time parents, Seo paid close attention to his newborn baby, anxious that she be healthy. When he noticed she wouldnt make eye contact, he did what most nervous parents do: turned to the internet for an explanation. He learned that avoidance of eye contact was a known characteristic of ASD.
While his child did not end up having ASD, his curiosity was piqued, particularly about the role sensitivities to smell and taste play in ASD. Further conversations with Singh led him to believe fellow anxious parents might benefit from an early detection tool perhaps inexpensively alleviating concerns at the outset. Later conversations with Luu led the pair to believe that if machine learning, developed by his graduate student Xuan-Bac Nguyen, could be used to identify normal reactions to food, it could be taught to recognize atypical responses, as well.
Seo is seeking volunteers 5-14 years old to participate in the study. Both neurotypical children and children already diagnosed with ASD are needed for the study. Participants receive a $150 eGift card for participating and are encouraged to contact Seo athanseok@uark.edu.
Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.
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Finding the magic that powers the brain usi – EurekAlert
After building a unique supercomputer to model parts of the brain, its creatorProfessor Steve Furber,says were still a long way from fully understanding the complex mysteries of the human mind.
Professor Furber, based at The University of Manchester, is leading one the worlds most ambitious neuromorphic computer projects and his ambitious study could, one day, mean new medicines to repair brain dysfunction are possible.
However, he adds, that those working on brain exploration are not sure if any modelling based on classical scientific principles, no matter how sophisticated, will ever properly recreate human consciousness because a biological magic may be the missing ingredient.
Intriguingly, the process of using next generation AI-tools to give robots greater brain-like functionality is developing at pace.
Professor Furber and his team at The University of Manchester recently achieved early breakthroughs from theSpiNNaker (Spiking Neural Network Architecture), a supercomputer developed for brain modelling.
The SpiNNaker group has created a real-time cortical microcircuit model and other cerebellum models using the giant device based on campus, and is part of the EU-fundedHuman Brain Project. The cortex is responsible for many higher-level brain functions such as memory recall and natural language, as well as acting as host to sensory and motor areas.
Professor Furber says that despite significant breakthroughs already achieved by SpiNNaker built from a million processors more patience is needed. This, in fact, is just the beginning of the journey.
He says: We do not fully understand the function of the basic cortical microcircuit even though we can now model it and those models reproduce biologically verifiable data.
What we now need is theories of what the circuit is doing, and how it does it, that we can use the models to test.
With such theories in place it might then be possible to construct models of brain subsystems and to explore, for example, what structural disturbances may be behind various forms of brain malfunction.
Then perhaps we could see what pharmacological interventions might help to restore normal brain function, he continues.
There is still room for philosophical debate as to whether or not such a Newtonian model [ie classic rules of science based on rational and understandable laws] is sufficient to explain higher brain functions for example, would a sufficiently accurate and detailed model of the cortex itself become conscious?
Or, must some other biological magic be invoked to explain the mysteries of consciousness. We dont know.
In parallel to scientists exploring the labyrinthine mysteries of the human mind, other pioneers at The University of Manchester, such as Professor of AI Sami Kaski, are looking to further develop artificial intelligence for autonomous systems and robots.
Professor Furber reflected on the crossover from his research with this work: Could we use an understanding of the cortical microcircuit to endow robots with greater awareness of their environments and a greater ability to interact with that environment?
I think that is very likely and on a shorter timescale than the higher level mysteries!
Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.
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IIT Patna is Offering New Courses in Computer Science, Business Management Mapped With Industry Demand – News18
IIT Patna is all set to start six new academic programs compliant to National Education Policy (NEP-2020).The new programs are starting with three academic programs in computer science stream and three academic programs in business management stream.
The three-year UG program is designed for aspirations of school (10+2) pass outs who have dreamt of IIT quality education but have missed the bus through JEE(Advance). There is multiple channel for entry to these new programs of studies, i.e.; valid score of JEE Main, CUCET, SAT(US), NTSE, KVPY, INSPIRE, State level entrance and IITP-SAT.Each of the three year UG programs are designed to impart skill in demand by industry and employers worldwide, reads the press release issued by IIT Patna.
The later course structure is aligned at par with professional body framework course structure requirement like ICAI, ICSE, CIMA, ACCA, CPA, NSE etc. The hybrid mode of instruction is another unique feature to enable the day scholars of any other program (say B.Tech.) with an alternative avenue to enhance their skill simultaneously without hassle, added the release.
Each program of both the streams will have an intake of 250 students taking total intake to 1500. The semester fee for computer science program and management program will be Rs 40,000 and 50,000 respectively.
On successful completion of the three-year degree program, the candidates will be awarded IITP alumni status. However, the opportunity of entry and exit scope exists at each year with an opportunity to re-enter later with credit bank facility.
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Disrupting Data Science in Neuroscience Research and AI – PR Web
Dimitri Yatsenko
TAMPA BAY, Fla. (PRWEB) August 23, 2022
In 2013, then-President Obama launched the brain initiative, which allocated funding to map every neuron in the brain. Understanding how the brain works can revolutionize the lives of many Americans, solving the complex problems of Alzheimers and Parkinsons disease, depression, and traumatic brain injury (1). However, mapping the brain alone does not reveal how it functions. Different parts of the brain appear similar but function differently, and each person has unique brain anatomy (2).
Neuroscientists have historically worked alone on individual projects, but as technology and data advance, they have to team up to achieve meaningful results. The need for data analysis has allocated neuroscience graduate students to solving complex computer science problems. This presents two significant problems. First, the number of years to achieve a neuroscience Ph.D. is increasing. Second, each graduate student solves the problems presented to them in isolation, which fails to create continuity either after they leave or between research teams. The result is a vast amount of available data failing to achieve its potential. Enter stabilizing disruptor Dimitri Yatsenko, CEO of DataJoint, who explains to Karla Jo Helms, host of the Disruption Interruption podcast, that to be used effectively for the greater good, the vast data recorded about the brain has to be analyzed with continuity between universities, laboratories, and research teams.
Dimitri Yatsenkos background in computer science gave him a unique perspective when his fascination with the human brain led him to neuroscience. He saw independent labs repeatedly reinventing ways of doing data analysis, weighing grad students down with data analysis that had little to do with their passions, and falling short of their collaborative potential. Dimitri said to himself, THATS IT IM DONE WITH THE STATUS QUO and began to develop a computational framework to create continuity across projects, teams, and applications. He made it cloud compatible, containerized, and web-accessible so it can be quickly deployed for multi-lab collaborations, and DataJoint was born.
Dimitri explains:
We have more data gathered about the brain and its circuits than at any other time in history. We need to combine molecular, genetic, and electrophysiology data, which is beyond the scope of any single neuroscientist. Understanding the brain requires a systematic approach to data and modeling.
Progress is limited by the tsunami of data and the systems required to model and analyze it.Up to half of the time spent on any neuroscience project is software engineering and systems engineering.
Neuroscientists are fundamentally curious about how the brain, its circuits, our interaction with the environment, and our genetic programming work to produce intelligence. However, the next level of understanding relates to how molecules, genes, and stimuli interact to shape circuits and how circuit systems produce adaptive behavior.
The brain is complex but has patterns to it. You can make the same circuits of the neocortex (the outer portion of the mammalian brain) solve very different problems. The more we understand the principles of how this works, the more effectively we can apply machine learning to understand how circuits and populations of neurons work together in the living brain.
What neuroscience teams want to achieve logically and computationally requires infrastructure, communication, and organization across departments. They havent had the tools to support this requirement, and its adding to the overhead costs of research.Commercial companies can help execute things more effectively and provide computation as a service rather than having each lab reproduce the same computation with graduate students.
DataJoint provides a systematic framework to work with data and computation and bridge communication gaps in one unified framework.
Disruption Interruption is the podcast where youll hear from todays biggest Industry Disruptors. Learn what motivated them to bring about change and how they overcome opposition to adoption.
Disruption Interruption can be listened to via the Podbean app, and is available on Apples App Store and Google Play.
About Disruption Interruption:Disruption is happening on an unprecedented scale, impacting all manner of industries MedTech, Finance, IT, eCommerce, shipping and logistics, and more and COVID has moved their timelines up a full decade or more. But WHO are these disruptors, and when did they say, THATS IT! IVE HAD IT!? Time to Disrupt and Interrupt with host Karla Jo KJ Helms, veteran communications disruptor. KJ interviews bad a**es who are disrupting their industries and altering economic networks that have become antiquated with an establishment resistant to progress. She delves into uncovering secrets from industry rebels and quiet revolutionaries that uncover common traits and not-so-common that are changing our economic markets and lives. Visit the worlds key pioneers that persist to success, despite arrows in their backs at http://www.disruptioninterruption.com.
About Karla Jo Helms:Karla Jo Helms is the Chief Evangelist and Anti-PR Strategist for JOTO PR Disruptors.
Karla Jo learned firsthand how unforgiving business can be when millions of dollars are on the line and how the control of public opinion often determines whether one company is happily chosen or another is brutally rejected. Being an alumnus of crisis management, Karla Jo has worked with litigation attorneys, private investigators, and the media to help restore companies of goodwill back into the good graces of public opinion Karla Jo operates on the ethic of getting it right the first time, not relying on second chances and doing what it takes to excel. Helms speaks globally on public relations, how the PR industry itself has lost its way, and how, in the right hands, corporations can harness the power of Anti-PR to drive markets and impact market perception.
About DataJoint:Dimitri Yatsenko is the Chief Executive Office at DataJoint, which is the leading data analysis platform and toolkit for neurophysiology researchers. They develop data science frameworks, platforms, and services for collaborative research, focusing on neuroscience and AI.
With a Ph.D. in Neuroscience (Baylor College of Medicine) and M.S. in Computational Engineering and Science (University of Utah), Dimitri holds an extensive record of projects in academia and industry in areas of signal analysis and image processing, machine learning, medical imaging, data science, and neurophysiology. While engaged in neuroscience research at Baylor College of Medicine, Dimitri started the DataJoint framework as an open source framework https://datajoint.org. Researchers turned to the project to organize a computational data pipeline spanning multiple labs. After receiving his Ph.D., Dimitri co-founded DataJoint to develop solutions and services for data-driven team science to bridge both social and technical gaps. For more information, visit https://www.datajoint.com
Sources:1.Obama White House Archives; THE BRAIN INITIATIVE. Brain Research through Advancing Innovative Neurotechnologies. Retrieved 11 August 2022, obamawhitehouse.archives.gov/BRAIN.2.University of Zurich. "Every person has a unique brain anatomy." ScienceDaily. ScienceDaily, 10 July 2018.
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Disrupting Data Science in Neuroscience Research and AI - PR Web
UCI-led study identifies social media strategies to educate young adults on vaccine effectiveness and accessibility – Newswise
Newswise Public health researchers from the University of California, Irvine identified several social media messaging strategies to educate young adults and their parents about evidence-based interventions around the human papillomaviruses (HPV). Their findings could help inform future health information social media campaigns, beyond the HPV vaccine, on the benefits of lifesaving interventions.
Roughly 14 million Americans are infected with new HPV cases annually as the most common sexually transmitted infection in the U.S. Yet, despite the robust safety profile of HPV vaccination that has reduced HPV morbidity by 64% among vaccinated 14- to 19-year-olds, low vaccination rates (roughly 55%) persist particularly among young adults aged 1826 and have dropped drastically during the pandemic.
Despite the broad use of social media 330 million unique users in the United States alone effectively disseminating evidence-based vaccine interventions in the competitive social media messaging environment has posed a challenge for healthcare agencies, such as the National Cancer Institute.
Led by Suellen Hopfer, Ph.D., assistant professor of health, society, and behavior at the UCI Program in Public Health, a team of researchers conducted a 4-month observational study to determine effective social media strategies for broadcasting narrative HPV vaccine intervention videos across three platforms: Instagram, TikTok, and Twitter.
Study findings are published in the journal Frontiers in Digital Health.
Social media is a powerful tool that has the potential to revolutionize health interventions if used correctly, with social media being dubbed the new vital sign, said Hopfer, who also has affiliations with the UCI Department of Pediatrics and the UCI Center for Virus Research.
Adapting evidence-based videos for social media, the team used a push-pull framework to push or disseminate HPV vaccine messages and anticipated pull or engagement from social media users. One of the biggest challenges in the competitive social media environment is engagement. Twelve strategies were implemented and tested over four months to increase engagement, by building a following.
The teams evaluation of the social media HPV vaccine intervention campaign showed that engagement with the online profile @RealHotGirlShot and its content increased across all three platforms, but Instagram and TikTok outperformed Twitter on impressions, followers, engagement, and reach. Among the most effective strategies were segmenting videos and emphasizing specific vaccine messaging with captions or questions, using more hashtags including COVID-19 hashtags, posting frequently during certain times of the day and on certain days of the week, and using tag-and-follow influencer strategies.
Our findings provide valuable insight to help with engagement and future vaccine messaging campaigns, and, in the case of the HPV vaccination, cancer-saving public health messages, Hopfer added.
The study is among the first of its kind to implement vaccine intervention information in a real-time scenario in the competitive social media messaging environment versus a controlled setting. The study also contributes to the body of research around digital interventions and steps needed to adapt health behavior change interventions for a social media setting.
Co-authors include Kalani Kieu-Diem Phillips, MPH, a UCI public health doctoral student; Hannah Vasquez, MPH, and Sarah Alkhatib, MPH, both UCI graduates from the Program in Public Health; Sanda M. Harabagiu, a professor of computer science and computational linguist and Maxwell Weinzierl, a computer science doctoral student, both from the University of Texas at Dallas.
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Research Fellow in Applied Cryptography And Data Security job with UNIVERSITY OF SURREY | 306274 – Times Higher Education
Computer Science
Location: GuildfordSalary: 33,314 to 42,155 per annumFixed TermPost Type: Full TimeClosing Date: 23.59 hours BST on Tuesday 20 September 2022Reference: 058222
The Department of Computer Science at the University of Surrey is seeking to recruit an outstanding Research Fellow in the field of applied cryptography and data security for a full-time position. This is a fixed-term appointment for 36 months. The expected start is October 2022 or as soon as possible thereafter.
The post holder will be contributing to two EU-funded research projects Continuous and Efficient Cooperative Trust Management for Resilient CCAM (the project short name is CONNECT) and Rewiring the Compositional Security Verification and Assurance of Systems of Systems Lifecycle (the project short name is REWIRE).
The main responsibility of the post holder will be in the design and development of new cryptographic protocols for trusted computing and secure systems, including attribute-based encryption and signatures, anonymous signatures, remote attestation, and distributed ledger technologies.
The Department of Computer Science within the Faculty of Engineering and Physical Sciences has an international reputation for research and teaching. Research in the department is focused on three main areas - Nature Inspired Computing and Engineering (NICE), Distributed and Networked Systems, and Secure Systems, with Surrey hosting UK Academic Centres of Excellence both in Research and in Education, both recognised by GCHQ.
The position offers the platform for the research fellow to develop skills to become an independent researcher. The successful candidate will work under the direction of Professor Liqun Chen and Dr Catalin Dragan. The research fellow will also work with the other colleagues of the Surrey Centre for Cyber Security and collaborate with the other partners of the CONNECT project consortium and the REWIRE project consortium.
We are looking for applicants that demonstrate strong research and protocol design skills, have strong communication skills, and have enthusiasm for developing their own research ideas. Applicants should have knowledge and experience in the design of cryptographic protocols for trusted computing and secure systems, and a good understanding of distributed ledger technologies. Skills in software engineering would be an advantage but being willing to learn how to develop a software prototype for demonstration is acceptable.
Applicants should have a PhD (or close to completing a PhD degree) in a relevant subject or equivalent professional experience.
For informal enquiries please contact Professor Liqun Chen atliqun.chen@surrey.ac.uk.
Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (33,314) to successful applicants who have been awarded, but are yet to receive, their PhD certificate. Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (34,308).
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In return we offer a generous pension, relocation assistance where appropriate, flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.
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The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.
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