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Exercise #2. The RAD test is a way to explore your knowledge about what you figured in the excel . Apply the RAD test to

Exercise #2. The RAD test is a way to explore your knowledge about what you figured in the excel . Apply the RAD test to each spreadsheet entry to see what you really know about them! Ready? The RAD test follows:

  • Researchability
    • Do I think I can perform research regarding the entry? How do I know?
    • Have other researchers and organizations explored the entry? (This is important to think about because if there are no publications or explorations, then you may be considering something that no one has yet been able to explore! Or you are the first mover regarding the entry.)
    • Given the entry, what are the essences of their discussions in the professional and research arenas and publications? What are the foci of ongoing discussions?
    • Which peer-reviewed journals and trustworthy websites supply relevant information. (Make a list!) Can I access them?
    • Complete the blank: I need to collect data regarding the entry. I would need to contact __________.
    • Who will support me while I perform research?
  • Audience
    • Who cares? (Which individuals, groups, and organizations care about this entry?) Identify the stakeholders.
    • How are stakeholders positively and negatively influenced? How do I know?
    • Can my exploration of the entry generate a beneficial novel perspective (or other benefits) for stakeholders?
  • Difference
    • How would exploring the entry make a difference?
    • What would happen if no one researched the entry?
    • What are the needs (or deficiencies) driving a call to change regarding the entry?

Apply the RAD test to each entry in the spreadsheet and update it using your thoughts, reflections, and responses.

(please see below excel )

Topic Professional Interests Personal Values and Beliefs Career Benefits Skills Needed Research Ideas
Data Science Helping organizations identify areas of improvement and develop data-driven solutions Integrity and objectivity Improve data analysis skills and gain a better understanding of software engineering Mathematics and programming Analyzing and visualizing data to identify trends and correlations
AI Leveraging the latest technologies to help businesses automate and optimize processes Empathy and creativity Learn more about the potential implications of AI on the business landscape Programming and machine learning Developing AI-driven solutions to predict customer behavior and optimize marketing campaigns
Cybersecurity Safeguarding organizations from malicious actors and cyber threats Security and vigilance Develop an understanding of the best practices for protecting data and systems Network security and cryptography Investigating the latest security threats and developing strategies to mitigate and prevent them
Robotics Exploring the potential applications of robotics in industry and everyday life Open-mindedness and innovation Gain insights on the development of robotics technology and its implications Programming and engineering Researching how to create robots that are autonomous, reliable, and cost-effective
Cloud Computing Investigating the various opportunities and challenges of cloud computing Adaptability and resilience Learn how to design and implement cloud-based systems and applications Cloud architecture and database design Exploring the best practices for cloud security and data management

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