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Calling for papers for Data Science Summit, Kolkata, India, 2015


Data Science Summit 2015 is the 2nd Annual International Summit on Data Science being organized by DSF and NASSCOM. This event is a platform for exchange of ideas and facilitate interaction between corporate and academia. We are inviting papers from institutes and universities as a part of this initiative. The guidelines and topics are given below.


  • Team size – 2 to 4 (for one topic)
  • The content needs to be original (plagiarism check will be conducted before review)
  • The entry should be authorized by one of the faculties of the institute (with signature and seal)
  • The softcopy entry should be sent to from an official email id of the institute.
  • Any topic can be selected from the options given below. An institute can send multiple entries with multiple topics.
  • For clarifications and questions, emails can be sent to

Title: Construct a consistent Bayesian alternative to Null Hypothesis Significance Testing


Background: Null Hypothesis Significance Testing (NHST) has been the foundation of frequentist statistical tests, widely used in the scientific, medical and social science literature. Frequent conceptual misunderstanding has rendered a large body of such research unreliable and irreproachable. Recent developments have led to a strong distrust of literature relying on NHST derived p-value supported conclusions, some journals even banning the use of the method. The challenge is to figure out a consistent and correct alternative that provides what the scientific method demands. Bayesian methods are perfectly capable of such an alternative.

Assignment: Write a paper, four pages or less, containing the following

(1) Define and describe Null Hypothesis Significance Testing, its mathematical inconsistency and its common misunderstanding.

(2) Illustrate your point by an example showing an obvious example of its fallacy (you may refer to XKCD, for ideas).

(3) Construct a Bayesian alternative, complete with its derivation from first principles, illustrating how it overcomes the pitfalls of NHST. Make sure your construction addresses the prior from a minimum information prior and describe (but not necessarily derive how prior information might be incorporated)

(4) Illustrate how your method correctly addresses the issue in part 2.

Topics: Bayes Theorem, Information Theory, Scientific Method

Required Reading:

Scientific method: Statistical errors,

Nature 506, 150–152 (13 February 2014) doi :10.1038/506150a

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Title: Use of Analytics to evaluate the “Value” of an employee.


Background: Evaluating productivity often does not grade an employee’s existence in an organization. This is due to various reasons. Productivity is measured through how much monetary gain an employee directly tenders. However in an organization employees have many other reasons of importance that are not so tangible, when an employee leaves for under-recognition the organization realizes the loss but that is too late: One technique that has gained importance these days is what is known as the “value” of a human resource.

AssignmentPlease elucidate the evaluation of “Value” of an employee within the organization in the given set up of his/her working. You might find a suggestive guideline for your essay- you might want to provide comprehensive comments on this guideline. You are free to use your own guidelines even; however we would be interested to hear from you on these suggested points. Write a paper, four pages or less, containing the following

(1) How would a company evaluate the “value” of an employee?

(2) What will be the appropriate definition of “value”?

(3) What are the cases [cite examples] where the productivity of the employee runs counter with their “values”?

(4) If different “value measures” are found to be appropriate, how would the evaluator calculate a “grand value” for the employee needed to be ascribed to the employee?

(5) How would an analytic tool measure this “value”? Suggest some formulae/equation/structure for the right data to be captured and relevant algorithm.

(6) What is your take on a generalized KPI like value/productivity? And can we have this type of

KPI further classified by other dimensions?

 Please give a comprehensive [may not be exhaustive] idea on “Value” of the employee. Please elucidate the various ways and means of “value judgement” and comment on their relative importance in present working conditions. You might add your innovative ideas in the concluding portion.

[Please note “facts” mean the numeric measured values and “dimensions” mean qualifiers]

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Title: Quantitative evaluation of Brand & Brand Equity


Background: Brand is the newest and most lucrative virtual commodity in present day Business. Products & Services have given way to Brand Equity & Brand Value in many successful enterprises. Brand has also become a commodity that can and may be shared, exchanged, built-up and shattered… all at some price. This immediately takes us to measure Brand in quantitative terms.

AssignmentPlease deal in detail the concept of Brand, Branding, Brand Equity & Brand Value from your empirical observations and perspective. You might follow certain points provided as suggestions. You might also elaborate some existing theories and comment on their triumphs and shortcomings as

Industry or Business finds in their journey. You are not restricted to use these guidelines, if you so choose. However a theoretical and practical exposition is sought from the respondents. Write a paper, four pages or less, containing the following

(1) What are the different approaches of measuring brand equity quantitatively?

(2) What would you think the shape of brand equity curve [with respect to time and product/service] of a company?

(3) What should be done when the brand equity curve of a company reaches a plateau?

(4) Does the epithet “moments of brand journey” mean anything to you?

(5) Can you apportion [give reasons] brand to the products/services of any multi-product company?

(6) Could there be a brand-production possibility curve that the industry may aim at? If so then where could be the points of inflexion in that curve that might require deeper investigation towards building up a framework?

Please have meaningful paraphrasing for every new point. Use your discretion in formatting numerical examples [if you may so chose] and depictions [optional]. You might want to provide a brief literature review [Annotate properly in that case]. Please indicate how analytic tools can help you in these investigations. Conclude your essay with suggestive innovative techniques or methods.

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Title: Quantitative management of After-Sales-Service


Background: Some manufacturing companies of products make meager profit or even may be incurring deliberate and calculative loss while selling their product. Their core business lies in the after-sales‐service of the product. This brings us to the case of managing after-sales-service, planning it, guiding it and programming services throughout the entire life-cycle of the product. A quantitative evaluation of the entire after-sales-service quantum is the key measure of the health of that industry. There are methods and methods and are varies across different industries, different products and different firms. More than the question of creating a standardized framework, it is more exigent to know the “anatomy” of “after-sales‐service”, ratifying the value‐measurement with monetary expressions and beyond that from various viewpoints. This topic is extensive and expanding. We have provided certain questions that bug the Business-world or the Industry, there are many more.

AssignmentWe are looking forward to responses that are innovative, creative and practical. The respondents might want to follow a brief guideline provided or for a better approach use their own formats with citing problems and having thoughtful appropriate addressing of those issues. Write a paper, four pages or less, containing the following

(1) What are the quantifiable factors of after sales service revenue?

(2) Would any kind of KPI be thought relating ‘sales-value’ & ‘after-sales-service-revenue’ for the life cycle of the product/service?

(3) When would you consider a re-orientation of the product/service studying such a KPI?

(4) Can you really think of some industry standard KPI on such a case?

(5) How will you incorporate the different modifications into the model of such a KPI on after-sales-service?

(6) How and when can an after-sales‐service‐revenue suggest for a change in approach or for an introduction for an advanced product?

A stepwise methodical structure from the definition of the concept, with literature review [in brief], mention of success stories, innovative thoughts with a future possible road-map will be highly appreciated.

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Title: Analytical insight of Social interactions on Company’s Growth


BackgroundHuman Resource function is integral in any business operation. The challenge is to have a balanced measurement of employee contributions in relation to and with respect to contribution of the working group. This group is again hierarchical that goes up from the immediate working group [or project group] to department–‐group, to firm within the group of companies. The external conditions that affect this evaluation are the market variables [which are many e.g economic, ecological, social and demographic etc]. HR function and HR science is perennially challenged by newer factors that are creeping in.

AssignmentWrite a paper, four pages or less, containing the following

(1) How will you bring the group contribution and the individual contribution with respect to the overall growth of a company and how will you depict the rate on a time scale or on other factor input scales?

(2) Do you think the social behavior of the employees in social networks might have any effect on the brand value or quantitative growth rate of any company?

(3) Should there be an ethical code for social network behaviour? Should different social behaviours of an individual clash on the social network plan, what kind of guidelines should or should not the companies suggest for their employees?

Please write a white paper on the challenges faced on this topic and indicate other uncharted issues that often show up in Business. Ignite your imagination to fathom ways and means of social-professional behavior even outside the ambit of mere professional duties and suggest how analytic tools can and/or should provide help. Please suggest your recommendations with proper weight and priorities. Conclude your statement with a directional note.

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