US Urges Schools to Adopt and Teach Cybersecurity Best Practices

US Urges Schools to Adopt and Teach Cybersecurity Best Practices

Empowering the Next Generation: Cybersecurity Skills at K-12 Levels in the National Cybersecurity Strategy, Insights from Cyber.org Executive Director

teaching cybersecurity kids

“Cybersecurity Education for K-12 Schools: Insights from Cyber.org Executive Director on the Importance of National Cybersecurity Strategy”. Learn from Laurie Salvail how Cyber.org is helping schools build a stronger cybersecurity workforce and how students can acquire the necessary cybersafety skills as early as kindergarten, in response to the recent federal attention paid to online security.

What impact is the National Cybersecurity Strategy having on K–12 schools?

The National Cybersecurity Strategy is providing clear approaches and guidelines for schools to follow to protect student data. IT directors must balance convenience and security by implementing best practices like regular password updates. By teaching students to protect themselves, we can create a culture of cybersecurity awareness that will benefit them as they move between schools and states.

Why is it so important to teach these cybersecurity skills at the K–12 level?

To use technology safely and become active citizens, students need to learn cybersecurity skills, even if their future job title does not include “cybersecurity”. These skills are important for protecting the US and ourselves, so it’s a real-life skill for students. By integrating cybersecurity into every classroom in small ways, such as 10-minute discussions periodically, we can help students develop this skill.

Teaching cybersecurity kids warning

As teachers integrate these skills into every classroom, how can they teach cybersecurity to very young elementary students?

Even kindergarteners are using devices now, so it’s important to teach them age-appropriate cybersecurity skills to protect them from malware attacks and phishing scams. As they interact with avatars and cartoon characters, they often see them as computers or friends from their games, so we need to help them understand what information they should or should not share. By teaching these skills in a way that gets them excited about technology, we can prepare them to become our future cybersecurity workforce.

How can schools maintain this excitement about cybersecurity with older students and teach them age-appropriate skills?

Salvail explains that cybersecurity topics are very concrete and students can practice these skills safely through virtual environments like Cyber.org Range. By analyzing what makes a good password and running password strength testers, students can see how easy it is for malicious actors to get access to their personal information. Schools can also allow students to earn industry certifications at an early age, giving them a head start in their future careers.

Secure kids from hackers
Secure kids from hackers

Will the National Cybersecurity Strategy lead to more funding for K–12 cybersecurity training and solutions?

SALVAIL explains that by raising awareness about cybersecurity, we can prioritize its importance and provide funding for it. However, the cost of implementing cybersecurity education can be a barrier for some school systems. Luckily, Cyber.org offers grants to schools so that they can provide professional development and resources for cybersecurity education at no cost. This removes the cost barrier and helps diversify the future cybersecurity workforce.

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Fully Funded Postgraduate Research Scholarship in Computational Chemistry – Australia

Fully Funded Postgraduate Research Scholarship in Computational Chemistry – Australia

Fully Funded Postgraduate Research Scholarship in Computational Chemistry – University of Sydney Australia

Postgraduate Research Scholarship in Computational Chemistry

What is Scholarship Project About?

The University of Sydney in Australia is offering a PhD scholarship in computational chemistry, led by Associate Professor Asaph Widmer-Cooper. The scholarship is part of the ARC Centre of Excellence in Exciton Science, with the goal of creating nanomaterials for solar energy, lighting, and security systems.

Nanoparticles have unique properties, but organizing them into structures that can revolutionize technology remains a challenge. This project will use computer simulations to understand how to control the arrangement of nanoparticles into structures that can be used for solar energy capture, lighting, and security systems.

As a PhD candidate, you will use computational methods to study the interactions between nanoparticles and how they assemble into ordered structures. This includes exploring how molecules on the surface of nanoparticles affect their interaction, how nanoparticles interact with interfaces and external fields, and how these interactions can be manipulated to create complex ordered structures. You will work closely with experimental partners in Australia and other members of the research group at the University of Sydney.

If you are interested in this opportunity, please contact Assoc Prof Widmer-Cooper at asaph.widmer-cooper@sydney.edu.au. Please note that due to a high volume of applications, those who do not meet the required profile may not receive a reply.

Additional information

The Australian Research Council funds the Centre of Excellence in Exciton Science, which connects the University of Sydney, the University of Melbourne, Monash University, RMIT, UNSW, and other national and international partners.

By pursuing a PhD within the Centre, you will join a community of over 100 scientists and students, and have access to various training programs and scientific meetings.

For more information on the Centre, please visit their website at https://excitonscience.com.

Eligibility:

You must:

  • have an unconditional offer of admission or being currently enrolled to study full-time in a PhD within the School of Chemistry, Faculty of Science at the University of Sydney
  • be willing to conduct research in computational chemistry
  • hold at least an Honours degree (First Class) or equivalent in a relevant discipline, or Master’s degree with a substantial research component. 

Please Note: An applicant without an unconditional offer of admission may apply and be selected, however, no scholarship offer will be sent until the applicant has an unconditional offer of admission. 

Your Profile

We are seeking individuals who are curious, creative, enthusiastic, and highly motivated to join our team. If you have an Honours or Masters degree in chemistry, physics or a related field, are confident in mathematics, have strong analytical skills, and an interest in coding, we encourage you to apply. Excellent communication skills, both written and verbal, are essential, and you must be able to work independently and in a team environment.

Fluency in English is a must (minimum IELTS or equivalent overall score of 6.5, with no score below 6). Although previous experience with molecular dynamics simulations or statistical mechanics is desirable, it is not mandatory.

Funding Notes

The selected candidate will be awarded a complete scholarship, which will cover course fees and living expenses, and include an annual stipend of $29,863 AUD for a maximum period of 3.5 years.

DeadLine:

Closing date for Application :  June 4

Application

Please include:

Personal statement outlining your motivation for pursuing a PhD in this topic and addressing your ability to contribute to computational chemistry research. (max 3,000 characters). Provide evidence of your confidence in mathematics, strong analytical skills, and interest in coding. If applicable, mention any previous experience with molecular dynamics simulations or statistical mechanics.

·     Academic transcript

·     Reports from 2 academic referees

·     CV, including research experience

Note: it is not necessary to apply for admission before applying for this scholarship. If you have not applied for admission, please enter ‘000000000’ as your Student Identification Number in the application form. 

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More information is available here:

Unmatched and Indispensable: 7 Skills That AI Can Never Replace

Unmatched and Indispensable: 7 Skills That AI Can Never Replace

Unmatched and Indispensable: 7 Skills That AI Can Never Replace

Artificial intelligence (AI) is advancing rapidly and its impact can be seen in our daily lives. A recent study predicts that AI will take over most human jobs by 2025. Despite this, there are certain professions and competencies that AI will never be able to replace. This article highlights some of the skills that are difficult for AI to emulate.

1. Creativity

While artificial intelligence (AI) excels at analyzing data and developing solutions based on it, generating truly unique ideas is not its strong suit. As a result, creativity remains one of the most challenging skills for AI to replicate. In this article, we explore why AI struggles to produce original ideas and why human creativity is irreplaceable.

2. Critical Thinking

Artificial intelligence cannot replace the skill of critical thinking, which is essential in various fields such as business, law, and medicine. While robots excel at analyzing data, they cannot think critically like humans.

3. Emotional Intelligence

Artificial intelligence can’t replace the ability to understand and manage emotions. This is because machines can’t feel human emotions or empathy when dealing with others. This skill is important in various fields such as psychology and social work.

4. Management

Management is a skill that involves using intelligence, creativity, and emotional intelligence to lead and motivate others towards a common goal. Humans are better than machines at this because they have the ability to inspire and guide others. Leadership is important in various fields, such as business, education, and politics.

5. Time Management

Time management is an important skill that machines cannot replace because it involves practical thinking and understanding time. While machines can do tasks quickly and efficiently, they lack the ability to prioritize activities and manage time effectively like humans. Time management is essential in various fields such as project management, education, and healthcare.

6. Analytical Skills

Artificial intelligence cannot replace analytical skills which are vital in many fields such as science, engineering, and finance. Though machines can analyse data and suggest solutions, they are incapable of interpreting it or drawing conclusions as humans do.

7. Entrepreneurship

Entrepreneurship is a crucial skill that cannot be replaced by artificial intelligence or any other technology. The enthusiasm and commitment that are required to start and run a successful business cannot be mimicked by machines. Entrepreneurship is essential in a variety of fields, such as technology, finance, and entertainment.

Conclusion

It is not certain whether all jobs will be taken over by machine learning and automation, but some may be. Although machines can automate certain tasks and processes, there are still many that require human abilities such as creativity, judgement, and social skills that machines cannot replicate.

As a result, companies and organizations are seeking individuals with the expertise to create, manage, and maintain these technologies. The implementation of new technologies often leads to the creation of new job opportunities.

What do you think and share about it ? Please share in comment.

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