Know Show: Article Writing Competition by NMIMS, Hyderabad
About the Event
About:iQ’oniQ, the Quant, Logic and Analytics Club of NMIMS Hyderabad is organizing an inter-college article writing competition – “Know Show” in collaboration with Analytics Vidhya.
Topics To be Included:
- Relevance of people/workforce analytics in an organization (HR)
- Use of micro-segmentation for better decision-making (Marketing)
- Big data and its role in eliminating the Bullwhip Effect in supply chain (Operations)
- A machine learning approach to venture capital (Finance)
Jury & evaluation:
NMIMS Hyderabad will nominate jury & evaluate the entries.
Prizes:
Cash Prizes and a chance to publish articles iniQ’oniQ or Analytics Vidhya.
Submission Guidelines:
- Right to publish articles and winning entries rests with Analytics Vidhya.
- Analytics Vidhya will only publish entries that adhere to the highest blogging standards in terms of providing content that is accurate, well-written, informative, and entertaining.
- Analytics Vidhya will only publish entries whose sole purpose behind writing and publishing an article is to add value to the community. The community should get something unique and value addition after reading the article.
- Remember the old saying “A picture speaks a thousand word”. Same applies to blogging. Visuals, charts and diagrams make your article more readable.
- Content cannot contain obscene, indecent, or profane material or links to such material.
- Plagiarism will not be tolerated. If short excerpts of copyrighted material are used, the original source and author must be cited.
- The purpose of an article cannot be to expressively sell merchandise or promote a business that sells merchandise.
- The tone of voice on Analytics Vidhya is polite, down to earth and informative. Please keep the same in your article.
- Analytics Vidhya encourages interactive articles. Invite comments at places, ask questions and take opinions wherever possible.
- Word limit is restricted to1000 wordsfor articles.
- Implementation using R and Excel will fetch brownie points and this can be written in a separate appendix. Word limit for this Appendix is 500 words.
- The cover page of the article should only contain theTitle of the article, Authors’ Name and Designation and Institution’s Name.
- References must be includedat the end of the article (Also include references of Photos and Graphs, if any).
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Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Depending on the type of competition, you can participate individually or in a team.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
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