Zero : A Theoretical Overview

Zero : A Theoretical Overview

Abstract

This term paper looks at work done by different eminent researchers towards the understanding of zero – as a price and as a probability, along with our perception of zero. The concept is looked at both from an economic point of view and from a psychological angle. Theories proposed to adjust the standard economic model to better reflect human behaviour and bounded rationality, found experimentally, are also discussed. The mentioned experiments can be repeated on different demographic sections with interesting results, and remain a point of further study. The emergence of neuroeconomics to fill gaps in standard economics theory has also been explored.

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Predictably Irrational - Book Review

Predictably Irrational - Book Review

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Book    : Predictably Irrational
Author : Dan Ariely
DoP : 2008
Genre : Non-Fiction
Tags : Behavioural Economics, Neuroeconomics, Decision Making
Rating : 9/10
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Seeing Like A Feminist - Book Review
2018 : Year End Review and 2019 Trends

2018 : Year End Review and 2019 Trends

This article was written while working for T-Hub

We are now at the end of 2018, and it has been an extraordinary year for technology entrepreneurs, and of course, the Indian ecosystem has much to rejoice about. Sure, there were some lows, but the highs outweighed them as the startups made some big moves. Whether it be cutting-edge developments in Artificial Intelligence and IoT, or bureaucratic and industrial standards for data privacy and security, 2018 had it all. Plenty of technologies that were primarily 'buzzwords' in 2017, matured in 2018, with greater stability and broader appeal.

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Winning Customers Online - The Hyperlocal Approach

Winning Customers Online - The Hyperlocal Approach

This article was written while working for T-Hub

The Indian e-commerce space is touted to be worth $200 Billion by 2026. With an immense market potential, it's not a surprise that an unproportionally large number of Indian startups are in the e-commerce sphere. Though a much more dismal fact is that a significant proportion of these startups shut shop within the first few years of starting out. Common reasons cited for these failures include:

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A Psychological Crisis of Extremes

A Psychological Crisis of Extremes

Millennials are amongst the most depressed generations in recorded human history. Don’t take my word for it, search for yourself, but the fact largely stands. Reports published in the BBC, Psychology Today, Vogue and various other sources hold consensus. In this article, I discuss a theory that attempts to explain this rather unfortunate and curious phenomenon. Its called a crisis of extremes.

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The Indian Banking Crisis

The Indian Banking Crisis

This article was written while working for T-Hub

Abstract

This article aims to analyse the current Indian Banking Crisis due to non-performing assets of corporate defaulters, identify the motivation and cause for the gradual increase in the number of defaulters for NPAs in India, and suggest possible remedies and changes to alleviate the present situation.

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An Overview of the AgriTech Sector

An Overview of the AgriTech Sector

This article was written while working for T-Hub

An Introduction to the Agricultural Scene of India

Agriculture has been a very crucial and huge operational space that directly affects more than 250 million cultivators and agricultural labourers. More than 58% of rural population depend solely on agriculture as their means of livelihood. It plays a very important role in India’ economy.

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10 Takeaways from the UK

10 Takeaways from the UK

A generation has grown up with ‘Wanderlust’ posters on their wall, ‘Carpe Diem’ wallpapers and a shallow love for YOLO. I am no exception. So when the opportunity presented itself to publish a paper in a summer conference at the University of York, I put my heart and soul into making it happen. I thank my lucky stars that it did.

I sincerely do not want to make this read a bore, so here are 10 pictures that sum it all up:

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Subtle Art of De-MOSS-ing

Ever since it’s introduction in 1994, Stanford’s MOSS, or Measure of Software Similarity, has been an integral part of programming classes worldwide to detect plagiarism in coding assignments. It’s an effective measure, a good system, but, it’s not perfect.

Stanford’s MOSS is beatable.

In this article, I aim to accumulate all knows techniques of beating MOSS, summarise knowledge from various sources, and bring it all together in one place. Though I would like to clarify that (most) assignments are an integral part of learning and this article has been written solely to satiate academic curiosity.

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