Academic Research Team Project Paper

COVID-19 Open Research Dataset Challenge (CORD-19)

An AI challenge with AI2, CZI, MSR, Georgetown, NIH & The White House

(1) FULL-LENGTH PROJECT

Dataset Description

In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19, SARS-CoV-2, and related corona viruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.

Call to Action

We are issuing a call to action to the world’s artificial intelligence experts to develop text and data mining tools that can help the medical community develop answers to high priority scientific questions. The CORD-19 dataset represents the most extensive machine-readable coronavirus literature collection available for data mining to date. This allows the worldwide AI research community the opportunity to apply text and data mining approaches to find answers to questions within, and connect insights across, this content in support of the ongoing COVID-19 response efforts worldwide. There is a growing urgency for these approaches because of the rapid increase in coronavirus literature, making it difficult for the medical community to keep up.

A list of our initial key questions can be found under the Tasks section of this dataset. These key scientific questions are drawn from the NASEM’s SCIED (National Academies of Sciences, Engineering, and Medicine’s Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats) research topics and the World Health Organization’s R&D Blueprint for COVID-19.

Many of these questions are suitable for text mining, and we encourage researchers to develop text mining tools to provide insights on these questions.

In this project, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared in your presentation. You will use all the skills taught in this course to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking. You will then import that data into Tableau and prepare it for analysis. Next you will create a dashboard that will allow you to explore the data in depth and identify meaningful insights. You will then give structure to your data story by writing the story arc in narrative form. Finally, you will consult your design checklist to craft the final viz or data story in Tableau. This is your opportunity to show the world what you’re capable of – so think big, and have confidence in your skills!

Kaggle Website:

https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge

Assignment Length (word count): at least 15 pages.

References: At least 10 peer-reviewed, scholarly journal references.

Because Eileen Dover, the CEO of Good For You! Bakery, began her business with limited background in data architecture, some historical data that was saved in legacy systems is in bad shape. For example, sales date information was entered haphazardly, in different formats; sometimes sales amounts included a dollar sign and cents to the right of the decimal, and sometimes they didn’t; and the alphanumeric code she initially used to designate products is confusing to her new managers.

Ms. Dover wants to ensure that she can move data from her legacy system to SAS®. She had one of her new IT people produce a pipe-delimited data file in .txt format. He was not able to do much data validation/cleaning on his end, and Ms. Dover wants to know if this crucial step can be completed in SAS®. She wants you to do the following:

1. Import the legacy data file (Week 4 Assignment Data) into SAS®. (Note that if you look at the .txt file using a text editing program such as Notepad, you can see anomalies in the data; for example, dates and dollar amounts are represented in different formats.)
2. Create a report that:
3. Lists sales, by month, with subtotals and a grand total
4. Interprets all dates correctly and displays them in the same format
5. Interprets all dollar values correctly and displays them in the format $99
6. Add comments to the SAS® code to explain what each section of the code does, so that your team can apply similar to logic to cleaning/validating other data files.

Follow the instructions in the Week 4 Assignment Instructions document to complete this assignment. You will be using the Week 4 Assignment Data file to complete this assignment.

Submit your SAS® program.

Briefly respond to all the following questions. Make sure to explain and backup your responses with facts and examples. This assignment should be in APA format.

Since it is so dangerous, why would designers install software into the kernel at all (or make use of kernel software)? If you were an antivirus designer or maker, what other methods do you utilize to prevent virus?

 Discuss in 500 words or more the differences between and advantages of MAC, DAC, and RBAC.

Use at least three sources.  Include at least 3 quotes from your sources enclosed in quotation marks and cited in-line by reference to your reference list.  Example: “words you copied” (citation) These quotes should be one full sentence not altered or paraphrased. Cite your sources using APA format. Use the quotes in your paragraphs.  Stand-alone quotes will not count toward the 3 required quotes.

Write in essay format, not in bulleted, numbered, or other list formats. 

700 words discussion: Discuss the benefits of virtualization software, as described in the text. Do you agree/disagree with these benefits, or can you think of additional benefits not already presented?  Also discuss the security concerns highlighted by server sprawl and how you would propose to solve those in your (real or hypothetical) organization.

Answer the following question. Use facts and examples to support your answer. Use APA style for any references.

Due June 14, 11:59 p.m. EST

Using Figure 5.4 as the target architecture, who are the threat agents who will be most interested in attacking Web applications created through AppMaker?

Use the web or other resources to research at least two criminal or civil cases in which  recovered files played a significant role in how the case was resolved.

Use your own words and do not copy  the work of another student.

In discussion 5, we looked at networks in general; however, in this discussion we’re looking at wireless networks, mostly focusing on mobile networks.  Mobile networks in a global economy can be a challenge for multiple reasons.  First, governments in other countries control the mobile networks.  Second is the technology.  Mobile networks in other countries might not be as good as the mobile networks within the US.  As a global company, how can we deal with this?  With a big push for 5G, which has speeds well over 2Gbps, how does that change the way you do business?  What are some things you need to think about when it comes to doing business globally, using a wireless mobile network?

Please make your initial post and two response posts substantive. A substantive post will do at least TWO of the following:

• Ask an interesting, thoughtful question pertaining to the topic
• Answer a question (in detail) posted by another student or the instructor
• Provide extensive additional information on the topic
• Explain, define, or analyze the topic in detail
• Share an applicable personal experience
• Provide an outside source (for example, an article from the UC Library) that applies to the topic, along with additional information about the topic or the source (please cite properly in APA)
• Make an argument concerning the topic.

At least one scholarly source should be used in the initial discussion thread. Be sure to use information from your readings and other sources from the UC Library. Use proper citations and references in your post.

You will review both quantitative and qualitative research.  The topic is up to you as long as you choose a peer-reviewed, academic research piece.  I suggest choosing a topic that is at least in the same family as your expected dissertation topic so that you can start viewing what is out there.  There are no hard word counts or page requirements as long as you cover the basic guidelines.  You must submit original work, however,  and a paper that returns as a large percentage of copy/paste to other sources will not be accepted.  (Safe Assign will be used to track/monitor your submission for plagiarism. Submissions with a Safe Assign match of more than 25% will not be accepted.) 

Please use APA formatting and include the following information:

• Introduction/Background:  Provide context for the research article.  What led the author(s) to write the piece? What key concepts were explored? Were there weaknesses in prior research that led the author to the current hypothesis or research question?
• Methodology:  Describe how the data was gathered and analyzed.  What research questions or hypotheses were the researcher trying to explore? What statistical analysis was used?
• Study Findings and Results:  What were the major findings from the study? Were there any limitations?
• Conclusions:  Evaluate the article in terms of significance, research methods, readability and the implications of the results.  Does the piece lead into further study? Are there different methods you would have chosen based on what you read? What are the strengths and weaknesses of the article in terms of statistical analysis and application? (This is where a large part of the rubric is covered.) 
• References   

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 please Review  the submitted projects and comment on it (e.g., identify what you learned, note your disagreements with the project and/or provide supplemental information) . more than 150 words