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National Security Agency and Department of Homeland Security designate St. Marys as a National Center of Academic Excellence in Cyber Defense – St….

March 10, 2022

St. Marys Universityhas received designation as a National Center for Academic Excellence in Cyber Defense from the National Security Agency and the Department of Homeland Security.

The St. Marys Master of Science in Cybersecurity is also the first in the city to receive such validation from these agencies, said Ayad Barsoum, Ph.D., Associate Professor of Computer Science and Graduate Program Director of Cybersecurity.

Graduates coming from a program designated by NSA and DHS must know specific sets of knowledge and must have hands-on lab experience in some areas, Barsoum said.

Though there are other designated centers for excellence in the city, St. Marys University is the first to gain the prestigious validation for its Master of Science in Cybersecurity.

To receive this elite designation from NSA and DHS will open doors for the students and graduates of St. Marys University in this high-growth industry, said Ian Martines, Ph.D., Interim Dean of the St. Marys University School of Science, Engineering and Technology.

After a multi-year process, the agencies apply the designation to validate institutions with a comprehensive and robust cybersecurity program. To receive the institution-wide designation as a National Center of Academic Excellence in Cyber Defense, St. Marys demonstrated having a cybersecurity program with full-time faculty contributing research and working collaboratively across disciplines; enrolling students who master specific sets of knowledge, gain real-world experience and participate in extracurricular cybersecurity challenges; creating cooperative agreements to accept students from two-year institutions; and implementing a university-wide security plan that includes training for all employees.

Gary Bevans, a student in the Master of Science in Cybersecurity, said his career goal is to become a cybersecurity analyst and thathaving the NSA validate the masters degree is an important designation.

Its a huge thing for the NSA to give that stamp of approval, Bevans said. St. Marys working together with them is really big. Its going to help the program move forward in positive ways.

Cybersecurity experts are in demand. There is a global shortage of 2.72 million cybersecurity professionals, according to the (ISC) 2021 Cybersecurity Workforce Study. The U.S. Bureau of Labor Statistics expects the job outlook for an information security analystto increase by 33% between 2020 and 2030. The median annual pay for this role was $103,590 in 2020.

The designation is great for our students as they are entering the workforce because they have been studying a curriculum that meets a national standard, said Mitra Bokaei Hosseini, Ph.D., Assistant Professor of Computer Science. It puts our graduate students in a competitive level withthe very best.

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National Security Agency and Department of Homeland Security designate St. Marys as a National Center of Academic Excellence in Cyber Defense - St....

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Can Computers – and People Learn To Think From the Bottom Up? – Walter Bradley Center for Natural and Artificial Intelligence

Tufts University biologist Michael Levin and Columbia University neuroscientist Rafael Yuste have an ambitious project in hand: To explain how evolution hacked its way to intelligence from the bottom up, that is, from nothing. They base their thesis on computer science:

This is intelligence in action: the ability to reach a particular goal or solve a problem by undertaking new steps in the face of changing circumstances. Its evident not just in intelligent people and mammals and birds and cephalopods, but also cells and tissues, individual neurons and networks of neurons, viruses, ribosomes and RNA fragments, down to motor proteins and molecular networks. Across all these scales, living things solve problems and achieve goals by flexibly navigating different spaces metabolic, physiological, genetic, cognitive, behavioural.

But how did intelligence emerge in biology? The question has preoccupied scientists since Charles Darwin, but it remains unanswered. The processes of intelligence are so intricate, so multilayered and baroque, no wonder some people might be tempted by stories about a top-down Creator. But we know evolution must have been able to come up with intelligence on its own, from the bottom up.

Can that really work? The big problem for evolution is assembling a lot of components in a particular pattern. The probability of correct assembly drops exponentially as the pattern grows. Richard Dawkins proposed in his book The Blind Watchmaker: Why the Evidence of Evolution Reveals a Universe Without Design (1986) that maybe evolution can produce things that look intelligently designed if, instead of assembling all components in one fell swoop, they can be assembled piecemeal.

Piecemeal assembly reduces the problem to a series of linear choices. Ever since the early pre-Socratic philosophers proposed materialism and the evolution of modern organisms through variation and selection, thinkers have puzzled over how variation and selection alone could produce highly complex and specified organisms that include independent problem-solving intelligence.

The only realm in which we see complex specified artifacts such as the James Webb Space Telescope created on a regular basis is intelligent design by humans. That has led many thinkers throughout the millennia to conclude that organisms are also the product of intelligent design.

But, in Modular cognition, Levin and Juste disagree. They take the same approach as Dawkins. They claim that, if evolution can proceed by piecemeal variation on individual modules, the plasticity observed in stem cells, tadpoles, and mental cognition will arise.

They go one step further and propose that the higher order modules can emerge from the lower level variations of modules. The process envisioned is similar to the way in which words can vary and form sentences that can in turn vary to form paragraphs, and so on. They call this process modular cognition.

In doing so, they make a very important implicit assumption. They assume that, as we move to higher and higher levels of modularity, intermediary steps do not become dramatically harder, or even impossible, to find. That is a key assumption, and worth keeping in mind as we proceed.

Lets try out the authors idea with word ladder puzzles. In word ladder puzzles, one word is transformed into another word by varying one letter at a time. The catch is that each intermediary step must also be a valid word. This rule is analogous to the common sense assumption in evolutionary biology that if one type of creature is to evolve into another type of creature, each intermediary typoe must survive and reproduce.

So lets try to turn a cat into a dog with modular variation.

Pretty easy, huh? That makes the idea that modular cognition can explain the origin of creative intelligence from monad to man plausible.

But things get wobbly when we must tackle longer words equivalent, perhaps, to more complex organisms. For example, there is no word ladder from electrical to transcends.

We run into the same problem with sentences. Turning The cat chases the dog. into The dog chases the cat. by modifying one letter at a time, while maintaining a meaningful sentence (which is equivalent in biology to keeping the organism alive) becomes much more difficult. What does the cot chases the cog mean? Beats me.

How about if we can swap out whole words in a sentence? This does result in a direct path:

Unfortunately, the solution of swapping words creates new problems. One problem is that, to swap out words, we now need a variation mechanism that uses a dictionary to store and look up words that actually mean something in the context, as opposed to mere strings of letters.

Another problem is that the number of options for swapping each word now grows exponentially. Thus the probability of hitting coherent sentences likewise drops exponentially. So, weve solved one problem only at the expense of introducing two new and much more difficult problems.

What weve just seen that new problems are introduced by trying to solve the original problem at a higher level is known as the vertical no free lunch theorem (VNFLT). The VNFLT was first invented by Dr. William Dembski and Dr. Robert J. Marks,

They prove in The Search for a Search that, as we try to solve a problem at higher and higher levels as the Modular cognition authors propose the difficulty increases exponentially instead of decreasing. So we see that the key assumption made by the authors is false.

Modular cognition will not work as a theory of intelligent design. It is yet one more proposalthat is unable to climb the steep ladder of the VNFLT.

You may also wish to read:

To what extent does life simply invent itself as it goes along? The evidence may surprise us. It does not seem that all life arose simply by common descent. But maybe it cant just invent itself without an inventor either. Human inventions illustrate the point. (Eric Holloway)

and

Can AI really evolve into superintelligence all by itself? We cant just turn a big computer over to evolution and go away and hope for great things. Perpetual Innovation Machines tend to wind down because there is no universally good search. Computers are powerful because they have limitations.

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M.I.T. Computer Program Predicts in 1973 That Civilization Will End by 2040 – Open Culture

In 1704, Isaac Newton predicted the end of the world sometime around (or after, but not before) the year 2060, using a strange series of mathematical calculations. Rather than study what he called the book of nature, he took as his source the supposed prophecies of the book of Revelation. While such predictions have always been central to Christianity, it is startling for modern people to look back and see the famed astronomer and physicist indulging them. For Newton, however, as Matthew Stanley writes at Science, laying the foundation of modern physics and astronomy was a bit of a sideshow. He believed that his truly important work was deciphering ancient scriptures and uncovering the nature of the Christian religion.

Over three hundred years later, we still have plenty of religious doomsayers predicting the end of the world with Bible codes. But in recent times, their ranks have seemingly been joined by scientists whose only professed aim is interpreting data from climate research and sustainability estimates given population growth and dwindling resources. The scientific predictions do not draw on ancient texts or theology, nor involve final battles between good and evil. Though there may be plagues and other horrible reckonings, these are predictably causal outcomes of over-production and consumption rather than divine wrath. Yet by some strange fluke, the science has arrived at the same apocalyptic date as Newton, plus or minus a decade or two.

The end of the world in these scenarios means the end of modern life as we know it: the collapse of industrialized societies, large-scale agricultural production, supply chains, stable climates, nation states. Since the late sixties, an elite society of wealthy industrialists and scientists known as the Club of Rome (a frequent player in many conspiracy theories) has foreseen these disasters in the early 21st century. One of the sources of their vision is a computer program developed at MIT by computing pioneer and systems theorist Jay Forrester, whose model of global sustainability, one of the first of its kind, predicted civilizational collapse in 2040. What the computer envisioned in the 1970s has by and large been coming true, claims Paul Ratner at Big Think.

Those predictions include population growth and pollution levels, worsening quality of life, and dwindling natural resources. In the video at the top, see Australias ABC explain the computers calculations, an electronic guided tour of our global behavior since 1900, and where that behavior will lead us, says the presenter. The graph spans the years 1900 to 2060. Quality of life begins to sharply decline after 1940, and by 2020, the model predicts, the metric contracts to turn-of-the-century levels, meeting the sharp increase of the Zed Curve that charts pollution levels. (ABC revisited this reporting in 1999 with Club of Rome member Keith Suter.)

You can probably guess the restor you can read all about it in the 1972 Club of Rome-published report Limits to Growth, which drew wide popular attention to Jay Forresters books Urban Dynamics (1969)and World Dynamics(1971).Forrester, a figure of Newtonian stature in the worlds of computer science and management and systems theorythough not, like Newton, a Biblical prophecy enthusiastmore or less endorsed his conclusions to the end of his life in 2016. In one of his last interviews, at the age of 98, he told the MIT Technology Review, I think the books stand all right. But he also cautioned against acting without systematic thinking in the face of the globally interrelated issues the Club of Rome ominously calls the problematic:

Time after time youll find people are reacting to a problem, they think they know what to do, and they dont realize that what theyre doing is making a problem. This is a vicious [cycle], because as things get worse, there is more incentive to do things, and it gets worse and worse.

Where this vague warning is supposed to leave us is uncertain. If the current course is dire, unsystematic solutions may be worse? This theory also seems to leave powerfully vested human agents (like Exxons executives) wholly unaccountable for the coming collapse. Limits to Growthscoffed at and disparagingly called neo-Malthusian by a host of libertarian criticsstands on far surer evidentiary footing than Newtons weird predictions, and its climate forecasts, notes Christian Parenti, were alarmingly prescient. But for all this doom and gloom its worth bearing in mind that models of the future are not, in fact, the future. There are hard times ahead, but no theory, no matter how sophisticated, can account for every variable.

Note: An earlier version of this post appeared on our site in 2018.

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Josh Jonesis a writer and musician based in Durham, NC. Follow him at@jdmagness

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Artificial Intelligence: Avant-Garde Innovations and its Uses – Analytics Insight

Artificial intelligence is at the core of industrial and societal transformation

Technology is changing the world is an emerging phrase that has an impact on human society. From Siri or Alexa to self-driving cars, Artificial Intelligence (AI) is progressing rapidly, outperforming humans at a variety of tasks. Digital life is augmenting humans everyday routine for good. As humans saw the positive impact of artificial intelligence in the world, they keep trying to make the technology smarter. People enabled computers to ingest data, process it, provide an outcome, then learn from additional new data and provide an improved outcome. In generic terms, the influence of AI and further innovations bring cognition to human life.

Artificial intelligence has many different definitions. Some see technology as a created source that allows computers and machines to function intelligently. Some others envision it as a machine that replaces human labour to work for people in a rapid and effective manner. Still, the common definition of AI is that it is associated with machines and computers to help humankind solve problems and facilitate working processes. In technical terms, artificial intelligence is a branch of computer science that proves the possibility of simulating human intelligence into a machine. Artificial intelligence comprises the elements of science and technology such as computer science, neuron science, human psychology, Maths, engineering, etc.

The footprint of artificial intelligence is seen in the ancient historic stance. The idea of inanimate objects coming to life as intelligent beings have been around for a long time. The ancient Greeks had myths about robots, and Chinese and Egyptian engineers built automatons. However, the beginning of modern AI and its evolution was traced to classical philosophers attempts to describe human thinking as a symbolic system. Fortunately, John McCarthy, an American computer and cognitive scientist coined the term Artificial Intelligence at the Dartmouth conference in 1956. McCarthy was later called the Father of AI. Initially, researchers and scientists thought that developing an AI system would be simple. As years passed, they came to face the consequences of their lenient thought. Governments that primarily funded and supported AI also saw flak in the development. After several reports criticized the progress of AI, government funding in the field dropped off between 1974 and 1980 that later got the name AI winter. The industry got back on its heels once the British government started funding it again in part to compete with efforts by the Japanese. Since then, technology has exponentially evolved. Innovations have considerably reduced human efforts and helped in increasing efficiency and speed with respect to time and money. Even though artificial intelligence is only taking up the job to assist humans, the machines are literally surrogating people as they understand, think, learn and behave like us.

Now, the question of where are we headed might pop into our minds. Remember the sci-fi movies that you have watched so far? Humanoid robots or a certain technology is portrayed to be doing all the works that humans do including thinking. Does it lead us to a bad ending like robots taking over humankind? Maybe or maybe not. The only thing that scientists can say for now is that we are far away from the future portrayed in sci-fi movies. Technology emergence might take us to the cliff or push us down from there.

Artificial intelligence has many positive impacts on human society. Technology acts as a savior at certain critical places. Artificial intelligence takes over the dangerous jobs at manufacturing units, factories and industries saving humans from falling victims to unexpected events. It can also improve the efficiencies of the workplace and augment the work humans do. Artificial intelligence is a gift to the healthcare industry. The technology helps improve diagnostic capabilities and monitors patients health conditions. Remarkably, AI-powered robots are also being trained to perform critical surgeries for patients. One of the widely talked benefits of artificial intelligence is its ability to gain countless hours of productivity with just the introduction of autonomous transportation. AI is also directly influencing society as a whole through smart city initiatives with smart homes and the Internet of Things (IoT) at its centre. Biometric technologies like facial, Iris, voice recognition, etc are ensuring peoples safety. They also help uncover criminal activities and solve crimes. Collaborative robots or cobots are also invading humans space. Collaborative robots are a form of robotic automation built to work safely alongside human workers in a shared, collaborative workspace. In most applications, a collaborative robot is responsible for repetitive, menial tasks while a human worker completes more complex and thought-intensive tasks. Cobots are further complementing human skills through their accuracy, uptime, and repeatability.

Unfortunately, in some phases, technology stands as a threat to humans. One of the major concerns that artificial intelligence poses are the dragging of bias into digital forums. Artificial intelligence, as trained by humans has a huge setback when it comes to tackling discriminatory issues. The world has people of diverse genders, races, religions, etc. Humans tend to discriminate against others. But a machine discriminating against a certain kind of people takes bias to another level of trouble. As technology is invading critical sectors like crime and recruitment, it is important to mitigate these emerging challenges. Technology opens the door to a lack of privacy in most cases. Private data of people are being circulated on tech platforms for the benefit of certain people. This wedges a wall over peoples trust in artificial intelligence. At its core, AI is about imitating a human. The ability of technology could outperform human skills at a certain point and might take over human jobs. However, scientists and researchers are acknowledging the AI issues and consistently working on bending the curve.

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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‘Hope that the war will end’: Ukrainian, Russian students in Czech Republic speak on worries, hopes – NSM.today

Protests take place in Czech Republic to support Ukrainians after Russia invaded it. Junior computer science major Emily Hannon said that she has seen the community in Prague come together to support Ukrainians through protests and by giving humanitarian aid.

Oleksandr Korotetskyis brother and mother caught a train to evacuate from Ukraine on Saturday morning, but his father stayed in the country.

Korotetskyis brother will meet him in Czech Republic, where he is studying, while his mother wants to go back to her husband. Korotetskyi said that his mother does not want to leave his father alone in a warzone.

I think it is a high probability that I will never be able to hear him again because he will die, Korotetskyi said. So he is at the private house, our private house, with cat, and he feels scared because cat will die without care.

After Russia launched an invasion on Ukraine Feb. 24, Ukrainian cities have been shelled, and civilians have evacuated. Ukrainian and Russian students in Czech Republic, which has Poland and Slovakia between it and Ukraine, worry for their families, civilians and international relations, but some also have hope.

Korotetskyi said that a few days before, his family went out to find food, and apartments blew up next to them. He said that every day, Western countries provide Ukraine with military support such as ammunition or weapons.

But firstly, we must take care about people, civil people, people that do not want war, people that are victims of this war like my brother. He is 14 years old, and he had almost died three times, Korotetskyi said.

He has to work to provide the necessities for himself and his brother. He said that in Czech Republic, he is surprised by the support Ukraine is receiving. He said the university has provided students with support such as offering some financial support for those in need and some free food.

More than 2 million Ukrainians have left the country since Russia's invasion, according to a U.N. refugee agency tracker. These people represent about 5% of Ukraine's population.

Junior computer science major Emily Hannon, who is studying abroad in Czech Technical University, attends a protest in front of the Russian embassy to show support for Ukraine after Russia invaded the country. She said that she has also seen vandalism on parts of the embassy.

UCF junior computer science major Emily Hannon, who is studying abroad in Czech Technical University, said she has seen the community in Prague come together to support Ukrainians. For example, Hannon said that the owners of a wine store collected items and rented a truck to take aid to refugees themselves.

"Like, the whole community of Prague was giving them stuff. Their whole store was full of things to send to Ukraine, then outside there were piles of bags, Hannon said. There was a line out the door when we were there."

Hannon is also helping organize humanitarian aidand said that as an American, she is doing everything in her power to help people.

I think a lot of people in the U.S. don't exactly realize the reality of like what's happening because it's so far away, Hannon said.

Hannon said that she has attended protests, seen graffiti, seen some vandalism at the Russian embassy and also gave a speech herself. She said that at the first protest she attended, the group moved from Vclavsk Nmstto (Wenceslas Square) to the Russian embassy.

There was a moment of silence there was a moment of unsilence, Hannon said. So, they basically decided to make as much noise as possible so that the people in the embassy would be really bothered by us.

Pavlo is also studying in Czech Republic and has family in Crimea, an autonomous republic right south of Ukraine. Pavlo will only be referred to by his first name for the safety of his family.

Pavlo said that he has been depressed and devastated about the war with civilians being exterminated and cities being destroyed. He said that he contacts his family every day but cant really say that they are safe.

Nobody is safe now in Ukraine because of whats going on, Pavlo said.

Pavlo said that his family is staying in Crimea because that is their home, but he wanted them to leave. He said that it is not possible to give anything to his family because they are in an uncontrolled territory, so he sent money to charity and donated plasma to be used in Ukraine. He said it is what he can do because they are suffering while he is safe in Prague.

I hope that the war will end, and I will be able to meet my family and hug them, he said. As more people talk about, the more it makes - it affects the government to do something against.

Russian families are also financially suffering from sanctions from Western countries, said Alexey Ivanov, who requested a pseudonym for his and his familys safety in Russia. He said his family has a business whose target audience is other businesses in Russia, so they have not been affected yet.

As soon as other businesses will suffer the consequences, ours will, I guess, die because its impossible to survive in this economical sphere anymore, Ivanov said.

Ivanov said he does not know how to help his family except possibly encourage them to leave the country, but he said that his university is also supporting Russian students because they are cut off from supplies from Russia.

I am looking for a job here so I can send them money, but the main problem is that the international bank transfers are banned, Ivanov said.

He said that he thinks the majority of Russian society doesnt care about politics. He said that older generations tend to be indifferent if they are told that everything is OK while younger generations are against current policies.

Ivanov said that Russia needs time to grow in its understanding of international politics and said that it is important for more Russians to understand politics because the current regime is based on the support of the society.

Despite this, Ivanov said he is optimistic that the government will change.

We are running out, not only of Western goods, but we are also running out of food, Ivanov said. So as long as people starving, as long as they hate the government, I guess we still have a chance to change and hope for the best.

Junior computer science major Emily Hannon, who is studying abroad at Czech Technical University, attends a benefit concert atVclavsk Nmstto (Wenceslas Square) to support Ukrainians after Russia invaded Ukraine.

Korotetskyi said that both his mother and father lost their jobs, so there is no family income. He said he thinks that some western countries could prevent wars, but the problem is that the United Nations does not work.

I feel sorry that in the 21st century, the only way to solve conflicts is the war, Korotetskyi said. But I think it is a problem of the world that the United Nations does not work, that no global mechanisms of security work. I even don't know what to think about.

"Im just really disappointed about the whole world security system."

Korotetskyi said that people must provide humanitarian aid while victims of war must evacuate to a safe place. He said he thinks that Russia will not stop until the end.

I just want people to stay in love and dont kill each one because of some stupid ideas, some of geopolitics and of some history. We have to build history, but by ourselves, and stay in peace, Korotetskyi said. I never really understood the true meaning of the word peace until it touched my family, so I wish everyone merely the peace."

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Three Watson faculty promoted to distinguished ranks | Binghamton News – Binghamton

Three Binghamton University faculty all from the Thomas J. Watson College of Engineering and Applied Science have been promoted to the ranks of distinguished faculty, including two to distinguished professor and one to distinguished service professor.

Promotion to distinguished professor is the highest faculty rank that SUNY awards, and it is reserved for those who have achieved national or international prominence and an exemplary reputation within their discipline. Distinguished service professors are recognized for their distinctive contributions and outstanding service to the University community, department and school in support of the Universitys multi-faceted teaching, research and service mission.

The three professors join 35 other active Binghamton faculty holding the distinguished, distinguished teaching or distinguished service titles.

We are immensely proud of what these professors have accomplished, said Watson College Dean and Distinguished Professor Krishnaswami Hari Srihari. The appointment to distinguished rank is bestowed upon faculty who epitomize the excellence of SUNY. This achievement recognizes their significant contributions to Binghamton University, Watson College and the wider academic community. They are leaders on our campus for students, faculty and staff, and they inspire all of us to shape our world for the better. I am honored to serve our college alongside them.

Here are brief synopses of their careers, their thoughts about achieving distinguished rank and thoughts from President Harvey Stenger on their promotions.

Mohammad T. Khasawneh

Khasawnehs research is focused on the novel application of systems engineering to transform healthcare systems into high-performance environments that produce better patient outcomes at lower costs. His work is applied in ways that lead to optimal healthcare, including more efficient use of hospital resources; better outpatient scheduling; streamlined patient flow; improved patient satisfaction; reduced hospital-acquired conditions (e.g., infections and patient falls) through predictive analytics; and improved clinical, operational and financial performance using advanced data science methods.

His scholarly activities have been published in peer-reviewed journals, presented at leading conferences and yielded patents. His excellence as an academician in health systems engineering has resulted in many invited presentations and keynote addresses. He has published over 65 high-impact journal articles, 119 fully refereed conference publications, 101 conference abstracts and presentations, and 51 technical reports and white papers.

Through research partnerships with more than 15 hospital systems and healthcare organizations, he has generated over $15 million in external funding and over $40 million in in-kind software/equipment grants to improve teaching and instructional laboratories.

Working with experts across the globe, his research continues to address the growing societal need both nationally and globally for transformed healthcare systems that embrace patient-centered care, optimized operations, quality, safety and equity at lower costs.

He is a recipient of the SUNY Chancellors Award for Excellence in Scholarship and Creative Activities, the SUNY Chancellors Award for Excellence in Teaching, the University Award for Excellence in International Education and the University Award for Outstanding Graduate Director.

I am truly very honored and humbled to have received this promotion to the highest faculty rank in SUNY, Khasawneh said. I owe this significant milestone to my amazing family, the inspirational leaders that I know and work with, our world-class faculty and staff team, my incredibly dedicated students and alumni, and my collaborators here and around the world. In my view, being in academia is one of the most noble lines of work in todays world, not only because it gives you the opportunity to impact others, but also to literally change their lives. To me, this promotion is the ultimate badge of responsibility to continue my journey of making an impact on the lives of our students. Again, working with such great teams and colleagues at the department, college, university levels, and beyond has definitely made this a humbling experience and I am deeply grateful to have received this promotion.

Stenger hailed Khasawneh as a path-breaking scholar in the areas of healthcare systems engineering, operations management and data science who has changed the face of healthcare systems, and thus the quality of life for those both providing and accessing healthcare. He has pioneered the way society thinks of healthcare systems, making them more efficient and effective.

Weiyi Meng

Meng has an extraordinary record as a teacher, researcher, scholar and leader in academia. Over the years, his service to his profession; colleagues in academia, on-campus and across the SUNY system; and to the field of computer science is remarkable.

Mengs service-focused philosophy is based on being a good citizen and making a positive impact. Building on his intellectual capital as an outstanding academician, he has helped to organize and run over 100 conferences all over the globe. In addition, he serves on the editorial boards of prestigious archival/peer reviewed publications.

Over the past few decades, Meng has served his profession by reviewing research proposals for national and international organizations, he has given more than 60 invited talks and he has served as the program chair or the general chair for many conferences.

In addition to growing and leading one of the largest academic departments on campus, Mengs commitment to service includes mentoring, strategic planning to building consensus, team-building and recognizing the excellence of his colleagues. As an excellent supportive and proactive leader, he has restructured his department and works effectively with all stakeholders, including graduate and undergraduate students, staff and faculty.

Meng has been at the vanguard of establishing and growing partnerships with leading institutions in other countries, and he was the pioneer in instituting collaborative academic programs with international universities.

Professor Mengs service crosses a variety of dimensions through his scholarship, his conference participation, as department chair and as an international ambassador, Stenger said. His service has benefited all whom he comes into contact with, and, in fulfilling our mission, positively impacts students.

Meng said he is honored and humbled to receive this SUNY recognition: It has been a great pleasure being part of Binghamton University and contributing to the betterment of this organization for the past 30 years. Whatever accomplishments I have achieved are also the result of tremendous support I received from my colleagues in the Computer Science Department, Watson College and the campus community.

Kaiming Ye

Ye is one of the worlds leading scientists in advanced biomanufacturing. He is a fellow of American Institute for Medical and Biological Engineering, a fellow of the Biomedical Engineering Society and a senior member of the Institute of Electrical and Electronics Engineers (IEEE). He is chair-elect of the Council of Chairs of Biomedical Engineering.

Ye pioneered human islet organoid development from pluripotent stem cells (PSCs). His group is the first one that demonstrated the feasibility of generating functional human islets from PSCs. His work in 3D tissue bioprinting was featured in the February 2015 issue of Prism (ASEE). He also is one of the pioneers who designed fluorescence resonance energy transfer nanosensors for continuous glucose monitoring. His recent work on cancer immunotherapy led to the development of a new cancer immunotherapeutic vaccine. Ye has secured more than $42.67 million in grants (as PI or co-PI).

He has published one book as well as more than 90 high-impact, peer-reviewed research articles, book chapters and reports. He has chaired and co-chaired more than 10 international and national conferences and delivered more than 45 keynote, plenary and invited speeches in international and national conferences, and graduate seminars at more than 50 universities. As chair of the Biomedical Engineering Department at Binghamton, he has led its growth in rankings, research expenditures, and undergraduate and graduate programs.

This is an honor to the University, Watson and our department, Ye said. I am lucky to be a professor surrounded by talented students and excellent staff, faculty and visionary academic leaders here at Binghamton.

Stenger noted that the breadth of Professor Yes research is impressive, and its innovative nature has earned for him an international reputation in not one but several areas. He has made important discoveries that have elevated the standards of scholarship in his field and made important contributions to other areas as well, notably medicine.

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Building an Organization to Win With Data – CDOTrends

What type of skills should organizations strengthen to enhance their data analysis capabilities? As organizations in Asia and elsewhere turn to data insights and build strong data cultures to gain an edge over their competitors, training has emerged as an increasingly pertinent topic.

And as we noted last year, citizen scientists working on scores of projects can achieve a cumulative victory on a massive front, allowing organizations to win big at data by starting small. But which skills should organizations train their employees in or hire for: Programming, business analytics, or statistics?

A matter of practical knowledge

For at least one practising data scientist with a Bachelor of Science on Reddit, proper training in statistics trumps computer science, or so he believed. Until he took up a Master of Science in Statistics and had his worldview completely flipped around.

Much of what we're learning is completely useless for private sector data science, from my experience. So much pointless math for the sake of math. Incredibly tedious computations. Complicated proofs of irrelevant theorems what's the point?

There's basically no working with data. How can you train in statistics without working with real data? There's no real-world value to any of this. My skills as a data scientist [and] applied statistician are not improving, the poster wrote.

The post attracted close to 200 comments, with many adding thoughtful comments and sharing their own experiences. Defending the role of statistics, some respondents argued that training in statistics offers intellectual enrichment and laid a deep foundation that helped them understand the nitty-gritty of machine learning.

Ultimately, courses that favor practical knowledge over theory are probably the most desirable for citizen data scientists. Viewed that way, then perhaps an introductory workshop that leverages data from the organization might have a far bigger impact than sending them away for week-long courses on deeply theoretical topics.

People skills matter

Effective communication is vital, too. Apart from analyzing the data, the findings and insights must be clearly and fluently communicated across the organization to make an impact. Doing this well entails getting both technical and non-technical audiences to understand the implications. Crucially, they must then coax disparate employees into taking collective action.

On the ground, this means identifying and empowering employees with strong people skills and good data execution expertise. The former might also mean being able to say no to ideas that just dont make sense, or which are destined to fail.

The gripe of a poster on another Reddit thread summed this up perfectly: I don't care if you have 300 million data points recording people's eye color and favorite ice cream flavor, you still can't use eye color to predict ice cream flavor with any good accuracy because the inputs are fundamentally not very predictive of the outputs.

Finding success with data

For organizations to succeed with data, there is also no shying away from the need to build organization-wide competency with data.

The Harvard Business Review (HBR) noted that leading companies ensure that as many stakeholders as possible have the data-centric skills and resources they need, instead of keeping this expertise within the domain of specialists.

What type of skills should organizations strengthen to enhance their data analysis capabilities? As organizations in Asia and elsewhere turn to data insights and build strong data cultures to gain an edge over their competitors, training has emerged as an increasingly pertinent topic.

And as we noted last year, citizen scientists working on scores of projects can achieve a cumulative victory on a massive front, allowing organizations to win big at data by starting small. But which skills should organizations train their employees in or hire for: Programming, business analytics, or statistics?

A matter of practical knowledge

For at least one practising data scientist with a Bachelor of Science on Reddit, proper training in statistics trumps computer science, or so he believed. Until he took up a Master of Science in Statistics and had his worldview completely flipped around.

Much of what we're learning is completely useless for private sector data science, from my experience. So much pointless math for the sake of math. Incredibly tedious computations. Complicated proofs of irrelevant theorems what's the point?

There's basically no working with data. How can you train in statistics without working with real data? There's no real-world value to any of this. My skills as a data scientist [and] applied statistician are not improving, the poster wrote.

The post attracted close to 200 comments, with many adding thoughtful comments and sharing their own experiences. Defending the role of statistics, some respondents argued that training in statistics offers intellectual enrichment and laid a deep foundation that helped them understand the nitty-gritty of machine learning.

Ultimately, courses that favor practical knowledge over theory are probably the most desirable for citizen data scientists. Viewed that way, then perhaps an introductory workshop that leverages data from the organization might have a far bigger impact than sending them away for week-long courses on deeply theoretical topics.

People skills matter

Effective communication is vital, too. Apart from analyzing the data, the findings and insights must be clearly and fluently communicated across the organization to make an impact. Doing this well entails getting both technical and non-technical audiences to understand the implications. Crucially, they must then coax disparate employees into taking collective action.

On the ground, this means identifying and empowering employees with strong people skills and good data execution expertise. The former might also mean being able to say no to ideas that just dont make sense, or which are destined to fail.

The gripe of a poster on another Reddit thread summed this up perfectly: I don't care if you have 300 million data points recording people's eye color and favorite ice cream flavor, you still can't use eye color to predict ice cream flavor with any good accuracy because the inputs are fundamentally not very predictive of the outputs.

Finding success with data

For organizations to succeed with data, there is no shying away from the need to build organization-wide competency with data.

The Harvard Business Review (HBR) noted that leading companies ensure that as many stakeholders as possible have the data-centric skills and resources they need, instead of keeping this expertise within the domain of specialists.

[The] leaders view the use of data and analytics as deeply embedded to how they operate, rather than keeping it siloed and restricted to a few employees, it said.

This means making data accessible to not just citizen data scientists and business leaders, but also the frontline staff. They also acquire data from customers and suppliers, with almost nine out of 10 (89%) sharing their data back.

As part of their data democratization efforts, the leaders are also twice as likely to enable remote access to data and store a significant fraction of their data in the cloud, noted the HBR report.

There you have it. Apart from equipping workers with relevant, practical skills to manage data and appointing the right leaders to push the organizations data initiatives, data democratization and a cloud-centric approach to data are vital foundations to succeeding with data.

The rewards are worth it. According to the report, top performers in machine learning can have more than twice the impact in half the time compared to the average company. And one suspects that this gap will only grow larger, not smaller, over time.

Paul Mah is the editor of DSAITrends. A former system administrator, programmer, and IT lecturer, he enjoys writing both code and prose. You can reach him at [emailprotected].

Image credit: iStockphoto/Christian Horz

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From Introvert to IEEE Influencer – IEEE Spectrum

There are currently about 440 fission reactors operating worldwide, which together can generate about 400 gigawatts of power with zero carbon emissions. Yet these fission plants, for all their value, have considerable downsides. The enriched uranium fuel they use must be kept secure. Devastating accidents, like the one at Fukushima in Japan, can leave areas uninhabitable. Fission waste by-products need to be disposed of safely, and they remain radioactive for thousands of years. Consequently, governments, universities, and companies have long looked to fusion to remedy these ills.

Among those interested parties is NASA. The space agency has significant energy needs for deep-space travel, including probes and crewed missions to the moon and Mars. For more than 60 years, photovoltaic cells, fuel cells, or radioisotope thermoelectric generators (RTGs) have provided power to spacecraft. RTGs, which rely on the heat produced when nonfissile plutonium-238 decays, have demonstrated excellent longevityboth Voyager probes use such generators and remain operational nearly 45 years after their launch, for example. But these generators convert heat to electricity at roughly 7.5 percent efficiency. And modern spacecraft need more power than an RTG of reasonable size can provide.

One promising alternative is lattice confinement fusion (LCF), a type of fusion in which the nuclear fuel is bound in a metal lattice. The confinement encourages positively charged nuclei to fuse because the high electron density of the conductive metal reduces the likelihood that two nuclei will repel each other as they get closer together.

The deuterated erbium (chemical symbol ErD3) is placed into thumb-size vials, as shown in this set of samples from a 20 June 2018 experiment. Here, the vials are arrayed pre-experiment, with wipes on top of the metal to keep the metal in position during the experiment. The metal has begun to crack and break apart, indicating it is fully saturated.NASA

The vials are placed upside down to align the metal with the gamma ray beam. Gamma rays have turned the clear glass amber.NASA

We and other scientists and engineers at NASA Glenn Research Center, in Cleveland, are investigating whether this approach could one day provide enough power to operate small robotic probes on the surface of Mars, for example. LCF would eliminate the need for fissile materials such as enriched uranium, which can be costly to obtain and difficult to handle safely. LCF promises to be less expensive, smaller, and safer than other strategies for harnessing nuclear fusion. And as the technology matures, it could also find uses here on Earth, such as for small power plants for individual buildings, which would reduce fossil-fuel dependency and increase grid resiliency.

Physicists have long thought that fusion should be able to provide clean nuclear power. After all, the sun generates power this way. But the sun has a tremendous size advantage. At nearly 1.4 million kilometers in diameter, with a plasma core 150 times as dense as liquid water and heated to 15 million C, the sun uses heat and gravity to force particles together and keep its fusion furnace stoked.

On Earth, we lack the ability to produce energy this way. A fusion reactor needs to reach a critical level of fuel-particle density, confinement time, and plasma temperature (called the Lawson Criteria after creator John Lawson) to achieve a net-positive energy output. And so far, nobody has done that.

Fusion reactors commonly utilize two different hydrogen isotopes: deuterium (one proton and one neutron) and tritium (one proton and two neutrons). These are fused into helium nuclei (two protons and two neutrons)also called alpha particleswith an unbound neutron left over.

Existing fusion reactors rely on the resulting alpha particlesand the energy released in the process of their creationto further heat the plasma. The plasma will then drive more nuclear reactions with the end goal of providing a net power gain. But there are limits. Even in the hottest plasmas that reactors can create, alpha particles will mostly skip past additional deuterium nuclei without transferring much energy. For a fusion reactor to be successful, it needs to create as many direct hits between alpha particles and deuterium nuclei as possible.

In the 1950s, scientists created various magnetic-confinement fusion devices, the most well known of which were Andrei Sakharovs tokamak and Lyman Spitzers stellarator. Setting aside differences in design particulars, each attempts the near-impossible: Heat a gas enough for it to become a plasma and magnetically squeeze it enough to ignite fusionall without letting the plasma escape.

Inertial-confinement fusion devices followed in the 1970s. They used lasers and ion beams either to compress the surface of a target in a direct-drive implosion or to energize an interior target container in an indirect-drive implosion. Unlike magnetically confined reactions, which can last for seconds or even minutes (and perhaps one day, indefinitely), inertial-confinement fusion reactions last less than a microsecond before the target disassembles, thus ending the reaction.

Both types of devices can create fusion, but so far they are incapable of generating enough energy to offset whats needed to initiate and maintain the nuclear reactions. In other words, more energy goes in than comes out. Hybrid approaches, collectively called magneto-inertial fusion, face the same issues.

Current fusion reactors also require copious amounts of tritium as one part of their fuel mixture. The most reliable source of tritium is a fission reactor, which somewhat defeats the purpose of using fusion.

The fundamental problem of these techniques is that the atomic nuclei in the reactor need to be energetic enoughmeaning hot enoughto overcome the Coulomb barrier, the natural tendency for the positively charged nuclei to repel one another. Because of the Coulomb barrier, fusing atomic nuclei have a very small fusion cross section, meaning the probability that two particles will fuse is low. You can increase the cross section by raising the plasma temperature to 100 million C, but that requires increasingly heroic efforts to confine the plasma. As it stands, after billions of dollars of investment and decades of research, these approaches, which well call hot fusion, still have a long way to go.

The barriers to hot fusion here on Earth are indeed tremendous. As you can imagine, theyd be even more overwhelming on a spacecraft, which cant carry a tokamak or stellarator onboard. Fission reactors are being considered as an alternativeNASA successfully tested the Kilopower fission reactor at the Nevada National Security Site in 2018 using a uranium-235 core about the size of a paper towel roll. The Kilopower reactor could produce up to 10 kilowatts of electric power. The downside is that it required highly enriched uranium, which would have brought additional launch safety and security concerns. This fuel also costs a lot.

But fusion could still work, even if the conventional hot-fusion approaches are nonstarters. LCF technology could be compact enough, light enough, and simple enough to serve for spacecraft.

How does LCF work? Remember that we earlier mentioned deuterium, the isotope of hydrogen with one proton and one neutron in its nucleus. Deuterided metalserbium and titanium, in our experimentshave been saturated with either deuterium or deuterium atoms stripped of their electrons (deuterons). This is possible because the metal naturally exists in a regularly spaced lattice structure, which creates equally regular slots in between the metal atoms for deuterons to nest.

In a tokamak or a stellarator, the hot plasma is limited to a density of 1014 deuterons per cubic centimeter. Inertial-confinement fusion devices can momentarily reach densities of 1026 deuterons per cubic centimeter. It turns out that metals like erbium can indefinitely hold deuterons at a density of nearly 1023 per cubic centimeterfar higher than the density that can be attained in a magnetic-confinement device, and only three orders of magnitude below that attained in an inertial-confinement device. Crucially, these metals can hold that many ions at room temperature.

The deuteron-saturated metal forms a plasma with neutral charge. The metal lattice confines and electron-screens the deuterons, keeping each of them from seeing adjacent deuterons (which are all positively charged). This screening increases the chances of more direct hits, which further promotes the fusion reaction. Without the electron screening, two deuterons would be much more likely to repel each other.

Using a metal lattice that has screened a dense, cold plasma of deuterons, we can jump-start the fusion process using what is called a Dynamitron electron-beam accelerator. The electron beam hits a tantalum target and produces gamma rays, which then irradiate thumb-size vials containing titanium deuteride or erbium deuteride.

When a gamma ray of sufficient energyabout 2.2 megaelectron volts (MeV)strikes one of the deuterons in the metal lattice, the deuteron breaks apart into its constituent proton and neutron. The released neutron may collide with another deuteron, accelerating it much as a pool cue accelerates a ball when striking it. This second, energetic deuteron then goes through one of two processes: screened fusion or a stripping reaction.

In screened fusion, which we have observed in our experiments, the energetic deuteron fuses with another deuteron in the lattice. The fusion reaction will result in either a helium-3 nucleus and a leftover neutron or a hydrogen-3 nucleus and a leftover proton. These fusion products may fuse with other deuterons, creating an alpha particle, or with another helium-3 or hydrogen-3 nucleus. Each of these nuclear reactions releases energy, helping to drive more instances of fusion.

In a stripping reaction, an atom like the titanium or erbium in our experiments strips the proton or neutron from the deuteron and captures that proton or neutron. Erbium, titanium, and other heavier atoms preferentially absorb the neutron because the proton is repulsed by the positively charged nucleus (called an Oppenheimer-Phillips reaction). It is theoretically possible, although we havent observed it, that the electron screening might allow the proton to be captured, transforming erbium into thulium or titanium into vanadium. Both kinds of stripping reactions would produce useful energy.

As it stands, after billions of dollars of investment and decades of research, these approaches, which well call hot fusion, still have a long way to go.

To be sure that we were actually producing fusion in our vials of erbium deuteride and titanium deuteride, we used neutron spectroscopy. This technique detects the neutrons that result from fusion reactions. When deuteron-deuteron fusion produces a helium-3 nucleus and a neutron, that neutron has an energy of 2.45 MeV. So when we detected 2.45 MeV neutrons, we knew fusion had occurred. Thats when we published our initial results in Physical Review C.

Electron screening makes it seem as though the deuterons are fusing at a temperature of 11 million C. In reality, the metal lattice remains much cooler than that, although it heats up somewhat from room temperature as the deuterons fuse.

Rich Martin [left], a research engineer, and coauthor Bruce Steinetz, principal investigator for the LCF projects precursor experiment, examine samples after a run. NASA

Overall, in LCF, most of the heating occurs in regions just tens of micrometers across. This is far more efficient than in magnetic- or inertial-confinement fusion reactors, which heat up the entire fuel amount to very high temperatures. LCF isnt cold fusionit still requires energetic deuterons and can use neutrons to heat them. However, LCF also removes many of the technologic and engineering barriers that have prevented other fusion schemes from being successful.

Although the neutron recoil technique weve been using is the most efficient means to transfer energy to cold deuterons, producing neutrons from a Dynamitron is energy intensive. There are other, lower energy methods of producing neutrons including using an isotopic neutron source, like americium-beryllium or californium-252, to initiate the reactions. We also need to make the reaction self-sustaining, which may be possible using neutron reflectors to bounce neutrons back into the latticecarbon and beryllium are examples of common neutron reflectors. Another option is to couple a fusion neutron source with fission fuel to take advantage of the best of both worlds. Regardless, theres more development of the process required to increase the efficiency of these lattice-confined nuclear reactions.

Weve also triggered nuclear reactions by pumping deuterium gas through a thin wall of a palladium-silver alloy tubing, and by electrolytically loading palladium with deuterium. In the latter experiment, weve detected fast neutrons. The electrolytic setup is now using the same neutron-spectroscopy detection method we mentioned above to measure the energy of those neutrons. The energy measurements we get will inform us about the kinds of nuclear reaction that produce them.

Were not alone in these endeavors. Researchers at Lawrence Berkeley National Laboratory, in California, with funding from Google Research, achieved favorable results with a similar electron-screened fusion setup. Researchers at the U.S. Naval Surface Warfare Center, Indian Head Division, in Maryland have likewise gotten promising initial results using an electrochemical approach to LCF. There are also upcoming conferences: the American Nuclear Societys Nuclear and Emerging Technologies for Space conference in Cleveland in May and the International Conference on Cold Fusion 24, focused on solid-state energy, in Mountain View, Calif., in July.

Any practical application of LCF will require efficient, self-sustaining reactions. Our work represents just the first step toward realizing that goal. If the reaction rates can be significantly boosted, LCF may open an entirely new door for generating clean nuclear energy, both for space missions and for the many people who could use it here on Earth.

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End of the office? 1 in 3 wont consider a new job unless they can work remotely – Study Finds

NEW YORK The pandemic has fundamentally changed the American workweek, a new study reveals. In fact, only one in 15 remote workers expects to be back in an office for five days a week.

In a recent survey of 2,000 fully remote or hybrid-remote employees, more than a third (35%) say they wouldnt even consider a new job unless it includes the option to work remotely.

More than three-quarters have found simple pleasures in working from the comfort of their home. That includes more frequent coffee or snack breaks (54%), extra time with family (51%), the casual dress code (50%), and more comfortable seating (50%).

Conducted by OnePoll on behalf of Rippling, the survey also finds that more workers still prefer some time in an office. In all, 39 percent preferring a hybrid work environment, compared to 24 percent who prefer working completely remote.

While employees in tech or computer science are the most excited for a hybrid role (50%) however, arts and entertainment employees would rather be completely in-office (54%).

Despite the benefits and comforts of remote work that many respondents cited, it does come with challenges. The remote environment has made it more challenging for people to communicate with their co-workers and manager (48%), have their work recognized by their peers (44%), and maintain a work-life balance (44%).

These challenges can be particularly apparent when workers leave or start new roles remotely. This is important for employers in a tight market to consider, because eight in 10 remote workers believe they can predict whether theyll like a new job based on the onboarding process.

Respondents identified some problems theyve faced while starting and onboarding with a new job from afar. Seven in 10 find it a hassle to obtain the necessary software and office equipment, and the same amount say getting to know their co-workers and manager is now more difficult.

Employees whove transitioned to a new team within the same company have also faced difficulties, including staying in touch with their former colleagues and manager (70%).

For the foreseeable future, companies will need to find ways to support a distributed workforce, but its still a heavy lift for many organizations. For example, oftentimes companies struggle to onboard a remote employee, whether its sending them a computer or enrolling them in the proper benefits, says Ripplings VP of Human Resources Christine Maxwell in a statement. This survey makes clear that companies need to adapt and find modern solutions to support their workforce.

The Great Resignation has brought on great expectations for people in the workforce, with seven in 10 employees revealing they expect reimbursement for certain expenses. More than a third expect to be reimbursed for office furniture, and half would expect the company to pay for additional software that facilitates remote working.

Companies must continue to adjust to this new normal and catch up to the new needs within a business. Its a struggle for companies to simply collect a laptop when a remote employee departs the company. That didnt exist when everyone was in the office five days a week, adds Maxwell.

Today businesses can automatically store, ship and retrieve employee computers with a click of a button. There are dozens of different problems that you can easily automate, and taken together, improve the experience for your employees and make a significant impact on the business.

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Expert: Amplify voices of women in science to inspire the next generation – Conservation International

Editors note: After a decade at Conservation International, Shyla Raghav will be leaving the organization this month to join the founding team of CO2 a climate-focused unit at TIME.

History is full of women who changed the world through science, technology, engineering and math from the chemist who helped discover the double helix structure of DNA to the computer scientist who snapped the first picture of a black hole.

Trouble is, we often dont know their names (by the way, that was Rosalind Franklin and Katie Bouman, respectively).

But a movement is building to make women in STEM more visible literally. Last week,the Smithsonian Institution in Washington, DC, kicked off their #IfThenSheCan exhibit, displaying more than 120 bright orange, life-sized sculptures of prominent women in STEM throughout the citys National Mall. And Conservation Internationals climate lead Shyla Raghav was among them.

Conservation News spoke to Raghav about her passion for protecting the planet, how she stays optimistic about Earths future and her advice for the next generation of women scientists.

Question: How did you get your start in science?

Answer: There was a very distinct moment when I decided there was nothing I would rather do than protect the environment. I remember watching nature shows as a child while living in Australia. Images of the rainforest being destroyedas animals scurried away brought tears to my eyes. It seemed such a gross injustice to harm nature in that way. I couldnt imagine dedicating my life to anything other than trying to confront this issue.

Eventually, I decided to pursue a dual degree in ecology and international relations at the University of California-Irvine. During my time there, I found ways to apply what I was learning to real world problems by engaging in campus advocacy. Withhelp from the Green Campus program, we convinced the university to create a fully sustainable dorm with energy saving appliance and use sustainable biogas for university buses. These experiences showed me that you dont need to wait to startmaking a difference for the environment.

Q: Clearly you managed to stay busy in college what did you do after graduating?

A: After college, I got my masters degree in environmental management at Yales School of Forestry. That sparked my interest in taking a global approach to conservation by understanding the different ways countries aretrying to address climate change. After graduating, I moved to the Caribbean to manage a World Bank project aimed at helping small island nations adapt to climate impacts.

Living in Belize and Dominica changed my life; I was no longer just reading about the devastating impacts of climate change from wildfires to hurricanes I was witnessing them firsthand. Under threat from rising sea levels and increasinglyfrequent storms, Caribbean coastal communities are forced to consider that many ways climate change will affect their futures. For example, how can fishers make a living if the fish they depend on migrate to warmer waters? Where will island residentslive if the sea reaches their homes? How will they honor their ancestors if their burial grounds are submerged? Growing up in the United States, I had never felt these issues so viscerally.

Q: How do you stay hopeful when youre surrounded by this type of devastation on a regular basis?

A: It can be tough, but I ground myself in meditation. Being mindful is what allows me to work on climate change by balancing acceptance for that which I cannot control, with persistence to create a better and more just future. Itshow I draw strength to continue to show up for the planet.

I also find it invigorating to surround myself with other women who are working to change the field of science. In 2019, I was chosen as an ambassador for the If/Then program a group of 125 women in STEM who aim to serve as role models for young girls, helping them imagine the ways they can change the world. Currently, women are underrepresented in science, though weve made gains from 8 percentof women STEM workers in 1970 to 27 percent in 2019 in the U.S.

It can be really helpful to have representation in all sorts of industries from astronauts to geologists to computer scientists. For me, it was Christiana Figueres, the Costa Rican diplomat who has led national and international climate negotiations,including efforts that culminated in the landmark 2015 Paris agreement.

Q: What other advice do you have for aspiring women scientists?

A: Find trusted mentors, whether they be teachers or professionals in the field youre interested in. Many women in the sciences including myself suffer from imposter syndrome, which means we doubt our own abilitiesor feel like frauds despite our accomplishments. Fortunately, my mentors saw potential where I didnt see it myself. However, mentors rarely fall into your lap. My advice is dont be afraid to ask for help and always approach yourwork with curiosity and an open mindset.

For anyone pursuing a career in the climate world, I would highly recommend living abroad. It gave me a much deeper understanding of the injustices inherent in the climate crisis and a greater confidence to speak with authority as well asthe commitment to raise my voice for communities that are on the frontlines of climate change. And lastly, dont be afraid to fail in fact, failure is a gateway to growth.

Kiley Price is the staff writer and news editor at Conservation International. Want to read more stories like this? Sign up for email updateshere.Donate to Conservation Internationalhere.

Cover image:A few Conservation International staff membersat the IF/THEN exhibit, celebrating Shyla Raghav t in Washington, DC. Left to right: Blanca Gonzalez, Kyle Innes, Emily Welp, Alexa Mehos, Shyla Raghav, Anna Hedlund, Olivia Reed ( Olivia Reed)

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