Year 2016-17

PLAN BUDGET PROPOSALS FOR THE YEAR 2016-2017

Revised Final Copy As on 14th August 2015

Social Sciences Division

Indian Statistical Institute 203, Barrackpore Trunk Road

Kolkata 700 108

Social ScienceS DiviSion, iSi

Prepared By: S. Malakar, Social Sciences Divisions Office

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Plan BuDget ProPoSalS 2016-17, SSD


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Plan New Projects

Srl Unit Project No. and Name of the Project Project Leader(s) Page

New, Noth East Project 1 LRU 2.1 Advanced Academic Programs for North Eastern States (Northeast, New) (2016-

2017) Niladri Sekhar Dash

and Probal Dasgupta 8

2 SOSU 6.1 North-East Training Programme (Northeast, New) (2016-2019) Head, SOSU 11 New, General Project

3 ERU 1.1 Bayesian Incentive Compatible Mechanism Design (General, New) (2016-2019) Souvik Roy 13 4 PRU 4.1 Safe school survey (General, New) (2016-2019) Debdulal Dutta Roy 20 5 PRU 4.2 Orientation training program on Psychological Data Analytics: Summer/Winter school

(General, New) (2016-2017) Debdulal Dutta Roy 25

6 SRU 5.1 Small-marginal landholders Farming and Livelihood Issues: A Study in Jharkhand (General, New) (2016-2018)

Hari Charan Behera 29

7 SOSU 6.2 Measuring the Untapped Human Resource Potential of the 60+ Population in India (General, New) (2015-2018)

NachiketaChattopadhyay

32

Plan 0n-Going Projects


On-Going, Noth East Project 1 LRU 2.2 The Biaxial Syntax of Inflected Clauses in Assamese and Bangla (Northeast, On-

Going) (2014-2017) Probal Dasgupta 36

2

SOSU 6.3 North East Official Statistics Workshop (Northeast, On-Going)

Prasanta Pathak 38

3 EAU 8.1 Livelihoods, homestead farming and human development in Tripura (Northeast, On-going) (2015-2017)

Madhura Swaminathan

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On-Going, General Project 4 ERU 1.2 Annual Research Workshop for Doctoral Students in Economics in Collaboration with

Indira Gandhi Institute for Development Research (IGIDR): Supplementary Proposal (General, On-Going)

Priyodorshi Banerjee and Indraneel Dasgupta

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5 LRU 2.3 Bengali Pronunciation Dictionary (General, On-Going) (2015-2018) Niladri Sekhar Dash 44 6 PRU 5.2 Gender and Labour: A Study of Coffee Industry of Karnataka (General, On-going)

(2015-2018) Molly Chattopadhyay 48

7 PRU 5.3 The contribution of unpaid family workers in the handloom sector of textile industry. (General, On-going) (2015-2017)

Sonali Chakraborty 53

8 EPU 7.1 Annual Conference (General, On-going) Faculty of EPU 57

New Plan Projects start from page no. 7 On-Going Plan Projects start from page no. 35 Plan Non-Projects (2016-17) start from page no. 58 Publication (2010-15) starts from page no. 73 Interim Report (2014-15) 123 Divisional Plan Budget Proposal for Projects (2016-17) [summary Sheet] 124 Divisional Plan Budget Proposal for Non-Projects (2016-17) [summary Sheet] 125



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contentS (By unit) Name of the Project Project Leader(s) Page

Members of the Technical Advisory Committee, Social Sciences Division for the year 2014-2016 6 1 Economic Research Unit 1.1 Bayesian Incentive Compatible Mechanism Design (General, New) (2016-2019) Souvik Roy 13 1.2 Annual Research Workshop for Doctoral Students in Economics in Collaboration with Indira Gandhi

Institute for Development Research (IGIDR): Supplementary Proposal (General, On-Going)


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Non-project plan proposals for the year 2016-17 59 List of Publications of DCSW Members: 2010 2015, ERU 74

2 Linguistic Research Unit 2.1 Advanced Academic Programs for North Eastern States (Northeast, New) (2016-2017) Niladri Sekhar Dash and

Probal Dasgupta 8

2.2 The Biaxial Syntax of Inflected Clauses in Assamese and Bangla (Northeast, On-Going) (2014-2017) Probal Dasgupta 36 2.3 Bengali Pronunciation Dictionary (General, On-Going) (2015-2018) Niladri Sekhar Dash 44 Non-project plan proposals for the year 2016-17 60 List of Publications of DCSW Members: 2010 2015, LRU 84 Interim Report (2014-15) Probal Dasgupta 123

3 Population Studies Unit Non-project plan proposals for the year 2016-17 62 List of Publications of DCSW Members: 2010 2015, PSU 94

4 Psychology Research Unit 4.1 Safe school survey (General, New) (2016-2019) Debdulal Dutta Roy 20 4.2 Orientation training program on Psychological Data Analytics: Summer/Winter school (General, New)

(2016-2017) Debdulal Dutta Roy 25

Non-project plan proposals for the year 2016-17 63 List of Publications of DCSW Members: 2010 2018, PRU 96

5 Sociological Research Unit 5.1 Small-marginal landholders Farming and Livelihood Issues: A Study in Jharkhand (General, New)

(2016-2018) Hari Charan Behera 29

5.2 Gender and Labour: A Study of Coffee Industry of Karnataka (General, On-going) (2015-2018) Molly Chattopadhyay 48 5.3 The contribution of unpaid family workers in the handloom sector of textile industry. (General, On-

going) (2015-2017) Sonali Chakraborty 53

Non-project plan proposals for the year 2016-17 65 List of Publications of DCSW Members: 2010 2015, SRU 100

6 Sampliing & Official Statistics Unit 6.1 North-East Training Programme (Northeast, New) (2016-2019)

Head, SOSU 11

6.2 Measuring the Untapped Human Resource Potential of the 60+ Population in India (General, New) (2015-2018)

NachiketaChattopadhyay 32

6.3 North East Official Statistics Workshop (Northeast, On-Going) Prasanta Pathak 38 Non-project plan proposals for the year 2016-17 67 List of Publications of DCSW Members: 2010 2015, SOSU 105



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7 Economics & Planning Unit, Delhi Centre

7.1 Annual Conference (General, On-going) 57

Non-project plan proposals for the year 2016-17 68

List of Publications of DCSW Members: 2010 2015, EPU, Delhi Centre 108

8 Economic Analysis Unit, Bangalore Centre

8.1 Livelihoods, homestead farming and human development in Tripura (Northeast, On-going) (2015-2017) Madhura Swaminathan 39


List of Publications of DCSW Members: 2010 2015, EAU, Bangalore Centre 120

9 Social Sciences Division Office


Divisional Plan Budget Proposal for Projects (2016-17) 124

Divisional Plan Budget for Non-Projects (2016-17) 125



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Members of the Technical Advisory Committee Social Sciences Division for the year 2014-2016

1. Professor Bimal Kr. Roy Director (Chairman) Indian Statistical Institute, Kolkata 700 108

2. Professor Manoj Kumar Panda

Director, Institute of Economic Growth, University of Delhi Enclave, North Campus, Delhi-110007. India.

3. Professor Aravind Pandey Director, National Institute of Medical Statistics, ICMR, Ansari Nagar, New Delhi 110029

4. Professor Sarmila Banerjee Calcutta University Rajiv Gandhi Chair professor Eco-systems and Sustainable Development 56A, B. T. Road, Kolkata 700050

5. Professor T.J. Kamalanabhan Department of Humanities and Social Sciences Indian Institute of Technology, Madras Chennai 600036

6. Professor Tista Bagchi Department of Linguistics University of Delhi Arts faculty Extension Building Delhi 110007

7. Professor Partha Nath Mukherji Residence: Flat 803, Jasmanium 2 Vatika City, Sohna Road, Sector 49, Gurgaon - 122002, HARYANA

8. Professor Manoranjan Pal Professor-in-Charge (Convener), Social Sciences Division, Indian Statistical Institute, Kolkata 700 108



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new ProjectS


New, Noth East Project

1 LRU 2.1 Advanced Academic Programs for North Eastern States (Northeast, New) (2016-2017)

Niladri Sekhar Dash and Probal Dasgupta

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2 SOSU 6.1 North-East Training Programme (Northeast, New) (2016-2019) Head, SOSU 11

New, General Project

3 ERU 1.1 Bayesian Incentive Compatible Mechanism Design (General, New) (2016-2019)

Souvik Roy 13

4 PRU 4.1 Safe school survey. (General, New) (2016-2019) Debdulal Dutta Roy 20

5 PRU 4.2 Orientation training program on Psychological Data Analytics : Summer/Winter school (General, New) (2016-2017)

Debdulal Dutta Roy 25

6 SRU 5.1 Small-marginal landholders Farming and Livelihood Issues: A Study in Jharkhand (General, New) (2016-2018)

Hari Charan Behera 29

7 SOSU 6.2 Measuring the Untapped Human Resource Potential of the 60+ Population in India (General, New) (2015-2018)

NachiketaChattopadhyay

32



8

LRU (Northeast, New) Project No. 2.1

1. Title of the Project: Advanced Academic Programs for North Eastern States 2. Brief Objective and Justification (2 or 3 sentences): The primary goal of this project

is to organize several academic programs and orientation courses for the researchers, faculty members, and academicians of language and linguistics of the North Eastern states. It is expected that such interactive academic activities will not only enrich North Eastern scholars but will also open up further collaborative research possibilities for the benefit of the North Eastern languages and their people. Therefore, it is proposed to organize academic programs in the fiscal year 2016-2017 emphasizing some of the basic research as well as recent advances in certain domains in which the Unit specializes, namely, corpus linguistics, language technology, cognitive linguistics, translation studies, computer assisted language teaching, language documentation and digitization, language description, computational lexicography, etc.). It is also proposed to arrange possible visits by LRU faculty members to the North Eastern Universities/Institutes in connection of these academic programmes and courses.

3. Date of Commencement: April, 2016. 4. Names of Proposing Scientists: Niladri Sekhar Dash and Probal Dasgupta 5. Names of other Associated Scientists: NA. 6. Scope and Justification of the Project: In this project we aim to train the faculty

members, researchers, academicians, and postgraduate students of the North Eastern States/Institutes in various advanced areas of linguistics, namely, corpus linguistics, language technology, cognitive linguistics, translation studies, computer assisted language teaching, language documentation and digitization, language description, computational lexicography, etc. which are linked with the core research areas of the Unit. The proposed academic programme will provide an opportunity to the participants to familiarize themselves with several key areas of research and development of linguistics through collective interactions with the experts of the Unit as well as the experts hired from outside for the purpose. We propose to invite some experts across the country who will teach and train the participants in the workshops and orientation courses conducted at various North Eastern Universities/Institutes. Through these workshops/orientation courses we shall advocate exchange of ideas and facilitate formation of peer networks, thereby enhancing the research environment and productivity at the Unit. We would, therefore, like to view this programme as one of the platforms through which the we may establish the academic importance of our Unit in the spectrum of high quality linguistic research activities of the country. Within the wider frame of the programme, we may either (a) organize workshops/orientation course/seminars, etc. in the North Eastern Universities/Institutes, or (b) arrange for LRU faculty members to visit North Eastern States for intensive academic interactions with the faculty members of the North Eastern Universities/Institutes, or (c) may invite faculty members/research scholars from the North Eastern Universities/Institutes to the LRU laboratory for collaborative research work. We have selected Manipur University because we personally talked to Prof. Yashwant Sinha, Head of the Linguistics Department of the University about this programme and he readily agreed to our proposal and assured all kinds of logistic and technical support to carry out the programme successfully. We made similar proposal to NEHU and Tezpur University but did not receive good response as they have some other programmes funded by UGC, CIIL, NEILS, etc. However it is understood that if this programme becomes successful at Manipur University then similar programmes may be



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carried out in other NE state/central universities in the same fashion Manipur University being the first hosting centre in the row. We intend to be more specific to the areas of our specialisation particularly to NLP, Corpus Linguistics, Cognitive Linguistics, and Language Documentation and Digitization obviously the whole thing will be structured based on the availability of Indian experts although we intend to exploit the home team of ISI (including faculty members and PhD scholars) for the purpose. The training programme will include lectures on specialised areas as well as hand-on training for the participants (particularly in the areas of corpus linguistics and language documentation with a focus on endangered Indian languages including that of the North Eastern regions). Definitely the linguists of the North-Eastern languages will benefit from the training that the LRU is proposing to impart (with emphasis on language technologies and documentation and on cognitive linguistics) for analysing and documenting their languages. Thus LRU will succeed to establish its academic significance and functional relevance in the mainframe linguistic activities of the country. Our target is to register fifty (50) participants for the 3-day training programme for the scholars of universities and institutes of the North Eastern States (alphabetically, Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, and Tripura). The target group includes PhD scholars, university and college teachers, researchers working in NGOs, independent researchers, and others involved in the act of protection and promotion of the NE languages. The team of teachers will include faculty members and competent PhD scholars from ISI, Kolkata as well as well experts from Indian universities and institutes. Moreover, effort will be made to search for competent resource persons from the locality. It is however imperative that the details about specific themes, training programme, number of participants, number of experts, duration of training, etc. will be finalized keeping in mind the budget approved by the Institute.

7. Item wise break-up of the budget proposed (Capital & Revenue) and justification for the same (not more than 1/4 page):

No. Item Heads 2016-2017 Total 01 Capital NIL NIL 02 Accommodation of Participants and speakers in

the Manipur University Guest House/Hotel (50 persons for 4 days)

1,00,000 1,00,000

03 Food (Breakfast, Lunch, Dinner, Tea-Snacks, water etc.)

1,00,000 1,00,000

04 Airfare for the Experts (5 X 40,000/-) 2,00,000 2,00,000 05 Honorarium for the Experts (5 X 3000 X 3) 50,000 50,000 06 Charges for Auditorium and class rooms 50,000 50,000 07 Charges for Audio-Visual Equipments 50,000 50,000 08 Conference Kit 50,000 50,000 09 Remuneration to Local Staff 50,000 50,000 10 Local Transport 50,000 50,000 11 Stationers 50,000 50,000 12 Travel of ISI Staff to Imphal 1,00,000 1,00,000 13 Miscellaneous 50,000 50,000 Total 9,00,000 9,00,000



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8. Brief Particulars of the Assets to be procured: Not Applicable 9. List of on-going projects undertaken by the Proposing Scientist in the last 5 years

and for each, give (i) Status (ii) Money Budgeted, (iii) Money Spent, (iv) publications (if any) : Not Applicable

10. Expected Date of Completion: March 2017 11. Quarterly projection of Expenditure during 2016-2017

1st 2nd 3rd 4th Total

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SOSU (Northeast, New) Project No. 6.1

1. Title of the Project: North-East Training Programme 2. Brief objective and justification:

Development of manpower in the North East is an important agenda of the GoI. In this respect SOSU can play an important role with its unique position as a close collaborator with several Ministries that generates and uses official statistics. It would be valuable exposure for the participants to learn recent statistical techniques from SOSU.

3. Date of Commencement: 1.4.2016 4. Name of the proposing scientist: Head, SOSU 5. Name of other associated scientists with their affiliation: 6. A brief write up on the scope & justification of the project and proposed work (not more than half a

page): Trainees (MPhil students, Research Scholars and young faculty from several disciplines like Biosciences, Social Sciences and Physical Sciences who needs to analyse data in their line of work as well as Officers from various statistical services of the government) from North Eastern States of India who attended the training programmes conducted by SOSU in the North Eastern States appreciated and found the programmes useful in their official/administrative/academic work. Encouraged by their feedback it is felt that there is need for similar programmes in improving the skills of the officers/teachers from government and public sector departments, schools, colleges and universities in the north eastern parts of India. Every effort will be made to identify faculty from the host institutions or local institutions who may act as resource persons. The resources available in ISI for training in statistics, data analysis and computers, mayalso be used for this purpose (faculty from SOSU as well as from the Applied Statistics and Computer and Communication Science Divisions). The programme will be formulated keeping in view the requirements of the potential participants and use of computers in their data processing works.

We plan to hold one such programme every year.

1. Item wise breakup of the budget proposed (Capital & Revenue) and justification for the same (not

more than page): (a) Revenue Expenditure, 2016 17

1. Travel for resource persons (6 individuals) a) Air, Taxi, hired car Fare (Kolkata Venue & back) b) Local Transport at venue 2. Boarding & Lodging T.A./D.A. For External Candidates (15 persons) For 3 resource persons (Rs. 3000/head/day for 6 days) For 3 resource persons (Rs. 4000/head/day for 3 days) 3. Working Lunch & Tea for 5 days 4. Stationary, Workshop Kit & training materials 5. Remuneration for supporting staff 6. Workshop special dinner 7. Miscellaneous

Rs. 60,000.00 Rs. 40,000.00 Rs. 60,000.00 Rs. 54,000.00 Rs. 36,000.00 Rs. 80,000.00 Rs. 60,000.00 Rs. 20,000.00 Rs. 40,000.00 Rs. 20,000.00

Total Rs. 4,70,000.00

(b) Capital Expenditure: Nil Nil

2. Brief particulars of Assets proposed to be acquired: NA 3. List all ongoing projects undertaken by the Proposing Scientist: 4. Expected date of Completion: 31.03.2019 5. Quarterly projection of Expenditure during 2016-17

1st 2nd 3rd

Rev Cap Total Rev Cap Total Rev Cap Total



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Nil Nil Nil Nil Nil Nil 4.70 Nil 4.70

4th Total

Rev Cap Total Rev Cap Total Nil Nil Nil 4.70 Nil 4.70

6. For North-East Projects (new): Proposed budget for 2017

18(A) Proposed budget for 2018

19 (B) Rev. Cap. Total Rev. Cap. Total 5.40 0 5.40 6.20 0 6.20

Escalation assumed at 15% (approx.)



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ERU (General, New) Project No. 1.1

1. Title of the Project: Bayesian Incentive Compatible Mechanism Design 2. Brief Objective and Justification (2 or 3 sentences): The main objective of this project

is to study the Bayesian Incentive Compatible mechanism design which is known to enlarge the set of dominant strategy incentive compatible mechanisms in collective decision making problem under incomplete information. Since, this is a huge open area, I want to work jointly with the PhD students of ERU, ISI, Kolkata and look forward to collaborating with A. Sen (Indian Statistical Institute, Delhi), D. Mishra (Indian Statistical Institute, Delhi), H. Peters (Maastricht University, Netherlands).

3. Date of Commencement: First quarter, 2016-17 4. Name of Proposing Scientists: Souvik Roy 5. Name of other Associated Scientists: None 6. Scope and Justification of the Project: The purpose of this project is to study issues in

collective decision making problem under incomplete information. The study is a part of a much larger study in the theory of mechanism design. In general terms, mechanism design theory is concerned with resource allocation in multi-agent environments. The key feature of the problem is that the determination of the optimal allocation depends on information which agents possess privately. In order to achieve an optimal allocation this private information must be elicited from the agents. But agents are sophisticated and they recognize that they may be served better by lying, rather than by telling the truth. Computing the optimal allocation from incorrect information may entail serious errors: hence the challenge is to devise a mechanism or a procedure for communicating the information of agents such that the outcome is an optimal allocation even when agents behave strategically. In the current study we would like to analyze the problem of mechanism design under incomplete information in the context of both collective decision making (e.g. voting model) and private good allocation model (e.g. auction model). In this project we want to understand the role of prior belief formation in determining the outcome of an economic or social phenomenon. In the existing literature it is almost always assumed that the people in a society are completely aware of the behaviour of the other people. However, this is far from truth in reality! A voter can have some idea about who the other voter is going to vote, but can never be hundred percent sure about that. So, a more practical and natural assumption would be to assume people in a society form belief about their fellow members, and they behave according to their belief. This is clear and well accepted that formation of wrong belief can be sustained for long time resulting in big economic crisis, like the financial crisis. So, policy makers should be aware of the fact that citizens may form wrong belief and behave in a way that would lead to big crisis. Note that the important ingredient here is the correlation among beliefs. Some beliefs are very quickly accepted and spread for their nature. So, the amount of correlation makes a big difference. If everybody in a society believes the same thing then things will lead to some extreme situation, either very good or very bad! On the other hand less correlated beliefs are on the safe side as they wont result in big crisis. So, the question has three parts: firstly how people in a society form their beliefs in a correlated model. Secondly, how different amount of correlation amounts to different equilibrium, and thirdly how to design policies to prevent a society from big fall. We now describe our project in a more technical and structured way. We present the model in voting



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framework, however the model is enough flexible to be used in any socio-economical and market phenomenon.

Voting procedures are natural in many collective decision making problems such as elections, referendums and committee decisions. A voting rule is a method for aggregating individual opinions into an outcome. The chosen outcome can be thought of as the optimal proposal in that situation. An example of a voting rule is the well known Plurality Rule where the proposal selected is the first ranked candidate for the largest number of voters. Like any other problem of mechanism design, it is well known that a voting rule will typically provide incentives for agents to behave strategically. That is, in many situations a voter may be tempted not to vote for his/her most preferred candidate in the hope of manipulating the outcome. The task here is therefore to identify voting rules that would induce voters to vote sincerely/truthfully for their most preferred candidate. This issue is known in the literature as the incentive compatibility of a mechanism. The most widely known notion of incentive compatibility is strategy-proofness where the voting rule provides dominant strategy incentives for voters to vote truthfully. In their classic papers, Gibbard (1973) and Satterthwaite (1975), show that there are only trivial rules that satisfy strategy-proofness. The rules are of the following type: there is only one voter whose best candidate is elected in every conceivable situation. Such rules are called dictatorial rules and are obviously quite undesirable. The objective of this project is to focus on the relatively less explored direction of weakening the truth-telling requirement from strategy-proofness to ordinal Bayesian incentive compatibility (OBIC). OBIC requires truth-telling to maximize each voters expected utility computed with respect to the voters prior belief. Majumdar and Sen (2004) show that when the prior beliefs of the voters are independent and generic (defined appropriately), and the voting rule is deterministic, there is no escape from the negative result of Gibbard and Satterthwaite. In this project we want to take the analysis further in two different directions.

Problem 1 Mazumdar and Sen (2004) consider the unrestricted domain and show that the OBIC rules are dictatorial ones. However, characterization of OBIC rules in other restricted domains is still unknown. One such important restricted domain is the domain of single-peaked preferences. Mishra, Pramanik and Roy (2014) consider multidimensional mechanism design in single-peaked type spaces and show that some simple condition called 2-cycle monotonicity is necessary and sufficient for implementablity in such spaces. Another such interesting restricted domain is the domain of dichotomous types. Mishra and Roy (2013) show that 2-cycle monotonicity is not sufficient in such domains, however 3-cycle monotonicity is sufficient. So, natural interesting problem is to look for OBIC in such domains as the DSIC results are known for such domains. Moreover, Mishra (2015) shows that an extra assumption of monotonicity makes OBIC equivalent to DSIC (dominant strategy incentive compatibility). However, as our main objective is to find a bigger class of rules that can be implemented in reality, we intend to study the nature of all OBIC rules defined over single-peaked domain.

Problem 2 In this problem we want to study the random version of the model allowing voting rules to pick a probability distribution over the alternatives at every profile of preferences. The study of probabilistic voting rules (also called decision schemes) was initiated by Gibbard (1977, 1978). In this scenario, even with dominant strategy incentive



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compatibility one can escape the negative consequences of the Gibbard-Satterthwaite theorem (Gibbard (1973), Satterthwaite (1975)). However, the only voting rules that are dominant strategy incentive compatible and unanimous are random dictatorships, in which each voter is assigned a fixed probability of being the dictator - fixed in the sense that these probabilities are independent of the preference profile (see for example Duggan (1996), Nandeibam (1998)). The random dictatorship in which each voter has an equal chance of being the dictator is efficient and anonymous - the names of the voters do not matter, each voter gets equal weight. This might seem to suggest that random dictatorship provides a positive resolution to the dilemma posed by the Gibbard-Satterthwaite theorem - an equal distribution of power consistent with efficiency - dominant strategy incentive compatibility. However, random dictatorships are still unsatisfactory as the example given in Dutta, Peters and Sen (2007) suggest. This example provides a motivation to search for other voting rules that may be incentive compatible under the weaker notion of OBIC. On the other hand, the result of Majumdar and Sen (2004) for the deterministic rules do not extend to the probabilistic rules as there are OBIC random rules that are not random dictatorial. Moreover, Mishra (2015) considers only deterministic rules. So, at the first step we decide to explore the condition under which OBIC becomes equivalent to DSIC in the case of random rules. Thereafter we plan to explore the structure of all random OBIC rules defined over unrestricted domain.

Research methodology Our project addresses these problems both from an experimental and a theoretical perspective. Naturally, the results in Bayesian Incentive Compatibility environment are very much sensitive to the assumptions on the prior beliefs. Hence, it is very important for us to derive the structure of prior beliefs that holds in reality. On the empirical side we plan to run a number of experiments to study how people form beliefs in social networks. On the theoretical side we plan to develop a model based on the assumption on prior belief formation that are informed by experiments. Experimental Design In this section we describe the experimental design and the methodology. First we present the general model and then we elaborate using specific examples. General Model We select n many people (called players) for the experiment and m many numbers 1,2,...,m that are supposed to be m parties. We explain the players the rule of the experiment. The rule says that they have to write one number from 1 to m (in the sense that they are voting for them) on a piece of paper secretly from each other. Note that the experimenter keeps the information about who is voting for whom. The number that receives maximum number of votes wins the game/election. Ties are broken with uniform probability distribution. Each of the players who votes for the winning candidate is paid 100 rupees and all other players are not paid anything. This kind of game is called coordination game in voting framework. The game is played for 20 rounds. Each round ends with the payment. Moreover, at the end of each round the experimenter announces the numbers that were chosen by each of the players. So, at the end of each round each player gets to know the choices of the other players. Note that the players use this information to update their belief using Bayesian method regarding the number their opponents write on the paper.



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The experiment varies along two dimensions, namely, number of players and number of strategies provided to each player. Altogether there will be 3 treatments, as shown in the box below. No. of Players: 2 No. of Players: 3 No. of Strategies: 2 Treatment 1 Treatment 3 No. of Strategies: 3 Treatment 2 There will be two decisions that will be of importance and recorded for each treatment. First, the strategy that each player choses and second, the belief about the other persons choice. The belief can be about any specific strategy that the other persons will chose or a probability distribution over the set of strategies available. The two decisions will be recorded separately for each player and each round that will be played.

Technically, at the end of the experiment the experimenter has the following data: (nti, bti,j) for i=1,2,...,n and t=1,2,...,20 where nti is the number that the i-th person writes on the paper at the t-th round and bti,j is the belief of the i-th person at the t-th round regarding the number that the j-th person writes on the paper. Objective Our objective in this experiment is to understand and analyse the pattern in which people form belief about their opponents and the correlation that the players establishes through their belief and the outcome of the game (without any direct communication). We use Bayesian method to analyse the belief updation. We use uniform prior distribution for this purpose. On the other hand, to calculate the correlation in the beliefs established by the players we use two different notions for measuring correlation. The technical details are given below. Note on the Bayesian method we apply for our analysis In the classical approach the parameter, is thought to be an unknown , but fixed, quantity. A random sample X1, X2, . . . , XN is drawn from a population indexed by and, based on the observed values in the sample, knowledge about the value is obtained. In the Bayesian approach is considered to be a quan-tity whose variation can be described by a probability distribution (called the prior distribution ).This is a subjective distribution, based on the experimenters belief, and is formulated before the data are seen (hence the name is prior dis-tribution). A sample is then taken from a population indexed by and the prior distribution is updated with the sample information. The updated prior is called the posterior distribution. This updating is done with the use of the Bayes Rule, hence the name is Bayesian statistics. If we denote the prior distribution by () and the sampling distribution by f (X | ) then the posterior distribution, the conditional distribution of given the sample, X, is ( | X) = f (X | )()/m(X), where m(X) is the marginal distribution of X, that is, m(X) = f (X | )()d

Notice that posterior distribution is a conditional distribution, conditional upon observing the sample. The posterior distribution is now used to make statements about , which is still considered a random quantity. For instance, the mean of the posterior distribution can be used as a point estimate of . Measure of correlation



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We would like to impose the condition that the beliefs for the voters are positively correlated and we propose two definitions of correlation. The first one is based on the notion of the Kemeny distance function between preference orderings. Given two preferences Pi, Pi' in IP, the preference Pi is said to be at a distance k from Pi' if it takes k adjacent transpositions to obtain Pi' from Pi. The distance between Pi and Pi' is denoted by d(Pi, Pi') = k. If |A| = m then, k can take values in {0, 1, ..., mC2 }.The second notion of correlation is based on the likelihood of top k alternatives (for any k) of all the other voters agreeing with ones own opinion of the top k alternatives.

Remark: Note that the experiment is simple enough (does not involve computer knowledge or advanced education) to be applied to common people and hence our results are expected to be general enough. Specific case (an example with two players and two parties): We take two players for this experiment. The methodology employed to study the two problems presented above will entail an experiment which will be an 2-person strategy-matching game in the voting framework. Two players are choosen for the experiment. Each player will be provided with the same set of 2 distinct strategies (parties). If both the two players vote for the same party from the list of parties provided then each player wins Rs. 100/-, otherwise no one is paid anything. The game is repeated for 20 rounds. The normal form game is given below: Consider two players {1,2} and two parties {a,b}. Players: 1/2 a b a (100,100) (0,0) b (0,0) (100,100)

Literature references dAspremont, C., and B. Peleg (1988), Ordinal Bayesian Incentive Compatible Representation of Committees, Social Choice and Welfare, 5:261-280. Duggan J (1996) "A geometric proof of Gibbards random dictatorship result", Econ

Theory 7: 365 369 Dutta, B. & Peters, H. & Sen, A., (2008), "Strategy-proof cardinal decision

schemes," Social Choice and Welfare, Springekr, vol. 30(4), pages 701-702, May. Dutta B, Peters H, Sen A (2002) "Strategy-proof probabilistic mechanisms in economies

with pure public goods". J Econ Theory 106:392416 Gibbard, A. (1973), Manipulation of Voting Schemes: A General Result,

Econometrica 41: 587-601. Harsanyi, J. (1967), Games with Incomplete Information Played by Bayesian Players:

I-III, Management Science 14: 159-182, 320-334, 486-502. Majumdar, D. (2002), Essays in Social Choice Theory, Ph.d dissertation submitted to the

Indian Statistical Institute. Majumdar, D. & Sen, A., (2004) "Ordinally Bayesian Incentive Compatible Voting

Rules," Econometrica, Econometric Society, vol. 72(2), pages 523-540, 03. Maskin, E. (1999), Nash Equilibrium and Welfare Optimality, Review of Economic

Studies, 66(1):23-38. Mishra, D. (2015), "Ordinal Bayesian Incentive Compatibility in Restricted Domains",

working paper. Mishra, D., Pramanik, A. and Roy, S., "Multidimensional Mechanism Design in Single

Peaked Type Spaces", Journal of Economic Theory, 2014. Mishra, D. and Roy, S., "Implementation in Multidimensional Dichotomous Domains",

Theoretical Economics, 2013.

https://ideas.repec.org/a/ecm/emetrp/v72y2004i2p523-540.htmlhttps://ideas.repec.org/a/ecm/emetrp/v72y2004i2p523-540.htmlhttps://ideas.repec.org/a/ecm/emetrp/v72y2004i2p523-540.htmlhttps://ideas.repec.org/s/ecm/emetrp.html



18

Moulin, H. (1983), The Strategy of Social Choice, Advanced Textbooks in Economics, C.J. Bliss and M.D. Intrilligator (eds), North-Holland.

Muller, E,. and M. Satterthwaite (1977), The Equivalence of Strong Positive Association and Strategy Proofness, Journal of Economic Theory, 14:412-418.

Nandeibam S (1998) "An alternative proof of Gibbards random dictatorship result", Social Choice and Welfare 15:509519

Satterthwaite, M. (1975), Strategy-proofness and Arrows conditions: Existence and Correspondence Theorems for Voting Procedures and Social Welfare Functions, Journal of Economic Theory, 10:187-217.

Sen, A. (2001), Another Direct Proof of the Gibbard-Satterthwaite Theorem, Economics Letters, 70:381-385.

7. Itemwise Breakup of the Proposed Budget (Capital and Revenue):

Item Heads 2016-17 2017-18 2018-19 Total Capital

Revenue

Travel and subsistence for principal investigator and collaborators

1,50,000 1,50,000 1,50,000 4,50,000

Software, web developer for designing experiments, computer consumables

50,000 50,000 50,000 1,50,000

Cost of running Experiments 50,000 50,000 50,000 1,50,000 Purchase of books etc. 50,000 50,000 50,000 1,50,000 2 Project linked personnel @ 25,000 per month for 12*3=36 months

6,00,000 6,00,000 6,00,000 18,00,000

Miscellaneous expenses 10,000 10,000 10,000 30,000 Total 9,10,000 9,10,000 9,10,000 27,30,000

Justifications: Since this is a research project involving field work, two project linked persons (preferably M.Stat or M.Sc completed students who are motivated to do research) are required for carrying out the project work successfully.

8. Brief Particulars of the Assets to be Procured: NIL

9. List of on-going Projects undertaken by the Proposing Scientist in the last five years

and for each, give (i) Status, (ii) Money Budgeted, (iii) Money Spent, (iv) Publications (if any)

(i) No. of on-going Projects: 1 (one) (ii) Title: Mechanism Design in Internet Economics (iii) Starting date: November, 2014 (iv) Status: To be completed in August, 2015 (v) Money Budgeted: Rs. 4,15,000 /- (vi) Money Spent: Rs. 1,85,716 /-



19

10. Expected Date of Completion: 2018-19, fourth

11. Quarterly projection of Expenditure during 2016-2017: 1st 2nd 3rd 4th Total Rev. Cap. Total Rev. Cap. Total Rev. Cap. Total Rev. Cap. Total Rev. Cap. Total

25% 25% 25% 25% 25% 25% 25% 25% 100% 100%



20

PRU (General, New) Project No. 4.1

1. Title of the Project: Safe school survey Brief title: SSS

2. Brief objective and justification (2 or 3 sentences): Proposed project proposal includes two objectives. First objective is to develop a questionnaire for assessment of safe school climate perception. Second objective is to examine differences in safe school climate perception of students of relatively more and less violence-prone schools.

3. Date of Commencement and end: April, 2016- March, 2019 4. Name of the Proposing Scientist or Principal Investigator: Debdulal Dutta Roy,

Psychology Research Unit, ISI, Kolkata. 5. A brief write up on the scope and justification of the project and the proposed work (not

more than half a page): Repeated violence in school has generated great public concern and fostered wide spread impression that schools are unsafe. This causes school phobia, drop out, negative affectivity, parental mistrust to school authorities, and decline in school image. In order to stop school violence and to design healthy school, it is important to develop a questionnaire for assessing safe school climate perception. First objective of the study is to develop a questionnaire for assessment of safe school climate perception. Safe school climate will be measured with perceived dignity, freedom, connection climate, incivility and disruption, personal safety, delinquency/major safety, cleanliness, ramp, barrier free environment. Earlier studies paid attention to only four variables as connection climate, incivility and disruption, personal safety, delinquency/major safety (Skiba, Simmons, Peterson and Forde, 2006). Questionnaire results will provide knowledge about principal components of safe school perception from the perspective of respondents.

Second objective of the study is to examine differences in safe school climate perception in students of the more and less violence-prone schools. A checklist will be prepared to identify violence prone school. The constructed questionnaire will be administered to both more and less or least violence prone schools. Findings will be used for psychological counseling and guidance to students suffering from school phobia or negativity to school. Besides, results will be useful to design safe school climate and theory development.

Method Objective 1: Initially, literature reviews will be made to explore more indicators or domains of safe school. Next, item construction will be made for assessing each domain of safe school climate. And data will be collected from teachers (n=400), staffs (n=400) and students (n=800) of both rural (n=800) and semi-urban (n=800) schools. Provisional report about psychometric properties of questionnaire and differential perception will be presented. Objective 2: Violence prone checklist will be prepared for school classification with respect to occurrence of different violence like school associated delinquent activities, death, suicide, accident, injuries, teacher and staff injury in school, fights, weapons, use



21

of drugs or alcohol by students etc. Suitable statistics will be used to determine School violence index. School violence index will be prepared for school classification. Finally, sample schools will be categorized as per the classification index. Next data will be collected from 1200 students (100 students X 2 school types (violence prone and less violence prone) X 2 genders (boys and girls) X 2 regions (semi urban and rural) X 2 castes (SC/ST and Non SC/ST). Measures: (a) Perception of safe school climate: A questionnaire will be developed to assess different areas of safe school climate perception - perceived dignity, freedom, connection climate, incivility and disruption, personal safety, delinquency/major safety, cleanliness, ramp, barrier free environment. (b) School violence checklist: A checklist will be constructed to assess occurrence of violence in school. The indicators will be bullying, school associated death, suicide, accident, injuries, teacher and staff injury in school, fights, weapons, use of drugs or alcohol by students. (c) Socio-Economic schedule: It includes 22 items covering family type, no. of households, housing conditions, family income and educational status besides basic information - gender, religion, tribal status etc. Statistical analysis: Data scrutiny and quality analysis; Item analysis; Reliability with respect to internal consistency, Principal component analysis, ANOVA, MANOVA, Regression, SEM. Expected results: Psychometric properties of safe school climate perception Questionnaire; Descriptive statistics about safe school perception; Differential patterns of safe school climate perception, Relation between safe school climate perception and school violence. Research plan 2016-17 : Selection of project linked personnel; Literature review; Item construction for safe school climate perception; collection of data from students of Urban and Rural schools for internal validation of safety school climate perception Questionnaire; Submission of provisional report. 2017-2018: In this session, Data will be collected from rural areas of West Bengal. Provisional report will be submitted about main and interaction effects of gender and castes on safety school climate perception and relation with school violence. 2018-2019: Data collection to be completed. A report will be submitted. Work done: Approximately 470 data were collected from Nadia district of West Bengal on safe school perception. Data entry and analyses are in process. Project outcome:

1. Reliable and valid questionnaire can be used for counseling and guidance to students suffering from negative affectivity to school.



22

2. School psychologist or School quality management officers can use the questionnaire to guide school authorities for school reform.

3. Results will provide knowledge about extent of differences in school safety climate among teachers, students and staffs.

4. Results will provide knowledge about how the students of different demographic conditions perceive the school safety.

5. Results will provide knowledge about how perception of school safety affects school violence.

Project beneficiaries: Department of Education, Govt. of West Bengal; Researchers concerned with School psychology; School safety management.

References &Additional Readings Dutta Roy, D. (2015). Psychotherapy and violence prevention in school.

Proceedings of the 16th National Conference on Psychology for safe schools and healthy students. P. 62.

Saha, T. and Dutta Roy (2015). Characteristics of safe school: Rabindrik approach, Proceedings of the 16th National Conference on Psychology for safe schools and healthy students. P. 63

Skiba, R., Simmons, A.B., Peterson, R., and Forde, S. (2006). The SRS safe school survey: A broader perspective on school violence prevention. In Jimmerson, S.R. and Furlong, M.J., (Eds.). N.J.: Lawrence Erlbaum Associates, Publishers. 157-169.

About Barrier free environment: http://www.undp.org.af/Publications/ KeyDocuments/ 2005_cdap_guidelines.pdf (retrieved 25.3.2015)

Item wise break up of the budget proposed (Capital & Revenue) and justification for the same (not more than 1/4 page): Item Rs. Justification 1. Remuneration to Project linked personnel @ Rs. 20000 X 12 months

240000 Assisting in overall activities;

2. Car hiring charges and other local transport cost

50000 School visit

3.Accommodation charges 30000 for field investigations 4. Costs for food for local investigators and collaborating scientists

20000 Basic requirement for stay in locality and field visit

5. Data scrutiny and entry 10000 It will be entered through computer. 6. Computer consumables, Stationary, Xerox, printing, postal charge, telephone charge etc.

40000 To print questionnaire and communication

7. Project report typing, binding 20000 8. Miscellaneous 10000 Emergency condition in field work Total 420000 Total: Four lakhs twenty thousand only

http://www.undp.org.af/Publications/%20KeyDocuments/%202005_cdap_guidelines.pdfhttp://www.undp.org.af/Publications/%20KeyDocuments/%202005_cdap_guidelines.pdfhttp://www.undp.org.af/Publications/%20KeyDocuments/%202005_cdap_guidelines.pdf



23

List of all ongoing projects undertaken by the Proposing Scientist in the last 5 years and for each, give (i) Status (ii) Money budgeted, (iii) Money spent, (iv) Publications (if any).:

Title Status Money budgeted Money spent Publications

Winter school on Data Mining in Psychological Research Completed 294000 253000

Differential validity of computer programming abilities (2012-15) Completed 549000 41692.11 4

Self-efficacy of Agricultural farmers (2009-10) Completed 171000 75102.95 1

Expected date of Completion: March, 2019 Quarterly projection of Expenditure during 2016-2017:

1st 2nd 3rd 4th Total Rev.

Cap. Total

Rev. Cap. Total

Rev. Cap. Total

Rev. Cap. Total

Rev. Cap. Total

25%

25% 25% 25% 25% 25% 25% 25% 100%

100%

For General Projects only (New)

Total expected budget (A)

Proposed budget for 2009-2010 (B)

Action Plan/Target in terms of percentage (%)

Financial target in terms of percentage (%)

Rev.

Cap.

Total

Rev. Cap.

Total 2018-2019

2017-2018

2016-2017

2016-2019

2018-2019

2017-2018

2016-2017

2016-2019

9.15

9.15

2.50 2.50 25% 30% 45% 28% 36% 36%

Publications: Dutta Roy, D. and Gupta, P. (2014). Construction of academic achievement test

for high school students. Journal of Psychometry, 28, 2, (in print) Santosh. S., Dutta Roy. D&Kundu P.S. (2013). Psychopathology, Cognitive

Function, and Social Functioning of Patients with Schizophrenia. East Asian Achieves of Psychiatry; 23: 65-70.

Dutta Roy, D., Ghosh, S. and Rahman, F.H. (2012).Perceived Environmental Uncertainty in Crop cultivation in West Bengal: Agro Psychological Counselling Perspective. Indian Journal of Psychology. Special issue, January, 111-120.

Dutta Roy, D. (2011).School Psychology. Psybernews, 2, 3, 103-105. Dutta Roy, D. - Construct validity of writing motivation questionnaire.

International Journal of Psychological Research 3, 2, 6-11



24

Dutta Roy, D. (2010).Rabindrik Psychotherapy in Stress Management. PsyInsight. 1, 3, 10.

Dutta Roy, D. and Basu, K. (2010). Autistic behaviour analysis: Pre-post and repeated measure design. PSYBER NEWS: International Psychology Research Publication, 1, 4, 39-46.

Roy, A. and Dutta Roy, D. (2010).Predicting cash flow of Sarva Shiksha Abhiyan in West Bengal: An exploratory study of public finance. Journal of Management research in Emerging economics. Vol.1.1. (in print).

Dutta Roy, D. (2010).Cluster Analysis for Test-Retest Reliability. International Journal of Psychological Research, (published from USA). 3,9,132-140.

Dutta Roy, D. (2010).Construct validity of Reading motivation. Journal of the Indian Academy of Applied Psychology, (to be published in January 2011, vol.37, No.1).

Dutta Roy, D. (2010). Roy, A. and Dutta Roy, D. (2010). Predicting cash flow of Sarva Shiksha Abhiyan in West Bengal: An exploratory study of public finance. Journal of Management Research in Emerging Economies, 1, 1, (paper to be published).

Dutta Roy, D. and Mondal, A. (2010). Information organization errors in backward digit span task. PSYBER NEWS: International Psychology Research Publication, 1, 3, 43-49.

Dutta Roy, D. (2010). Stem-Leaf Plot: Problem of Data Visualization. PSYBER NEWS: International Psychology Research Publication, 1, 3, 50-54.

Dutta Roy, D. (2010). Challenges of Psychometrics. PSYBER NEWS: International Psychology Research Publication, 1, 3, 18-19.

Ganguly, A. and Dutta Roy, D. (2010). Web Content analysis to study researches on entrepreneurial psychology. PSYBER NEWS: International Psychology Research Publication, 1, 2, 27-31.

Dutta Roy, D. (2010). Data entry error. PSYBER NEWS: International Psychology Research Publication, 1, 2, 36-39.

Dutta Roy, D. (2010). Psychoinformatics: Innovation in mining randomized data. PSYBER NEWS: International Psychology Research Publication, 1, 1, 23-31.

Dutta Roy, D. (2010). Pre-Requisites of Psychological testing PSYBER NEWS: International Psychology Research Publication, 1, 1, 13-14.



25

PRU (General, New) Project No. 4.2

1. Title of the Project: Orientation training program on Psychological Data Analytics : Summer/Winter school

Brief title: PDA 2. Brief objective and justification (2 or 3 sentences): Aim of this study is to develop

orientation about psychological data analytics. It will cover the scope, importance, statistical tools, techniques and application of Psychological data analytics.

3. Date of Commencement and end: April, 2016- March, 2017 4. Name of the Proposing Scientist or Principal Investigator: Debdulal Dutta Roy,

Psychology Research Unit, ISI, Kolkata. 5. Name of other associated Scientists with & their affiliation: Professor Professor Ayanendranath Basu, Applied Statistics Unit, ISI., Kolkata Professor Saumyadipta Pyne, Ph.D.,PC Mahalanobis Chair Professor, CR Drag Rao Advanced Institute of Mathematics, Statistics and Computer

Science,University of Hyderabad Campus Dr. Susmita Mukhopadhyay, Asst. Professor, VGSOM, IIT., Kharagpur

6. A brief write up on the scope and justification of the project and the proposed work

(not more than half a page): Background: Psychological Data analytics (DA) is the science of examining raw data with the purpose of better decisions in action research and to verify or disprove existing models or theories of different branches in Psychology Consumer Psychology, Organizational psychology, Educational psychology, Abnormal or clinical psychology, Child or developmental psychology, Forensic psychology. Data analytics is different from data analysis. Analytics is a multi-dimensional discipline. There is extensive use of mathematics and statistics, the use of descriptive techniques and predictive models to gain valuable knowledge from datadata analysis. The insights from data are used to recommend action or to guide decision making in different issues of psychological problems. Thus, analytics is not so much concerned with individual analyses or analysis steps, but with the entire methodology. In India, department of psychology of different universities provides knowledge about analysis of data rather psychological data analytics. Psychological data analytics is important for the people involved in psychological projects with large data. Aim of the summer/winter school is to provide orientation about different mathematical and statistical models of psychological data analytics. It aims to provide knowledge about different applications of psychological data analytics in business, Web mining, mental health data mining, Human relations and human resource development, insurance, safety, educational decisions, marketing (psychographic profile analysis), forensic (criminal identification). The course is designed for faculty and professionals as well as for research fellows in Psychology and allied disciplines who are comfortable with data analysis software (i.e., SPSS, SAS) and multivariate modelling. Instruction consists of lecture, computer applications, and individualized consultations. The emphasis will be practical with minimal emphasis on statistical theory, but those seeking more statistical information can arrange an



26

individualized session with the instructors. Participants will learn how to analyze large psychological data, and be able to interpret the results from their analyses. It will be three days orientation program. It will cover three things Introduction (importance, assumption, scope); Statistical tools and techniques (Correspondence analysis, Cluster analysis, Principal component analysis, Discriminant function analysis, MANOVA, Multiple Regression analysis, SEM); Applications and approaches. In-house resource persons will be invited to give lecture. Few resource persons will be invited from other institutes. It will include a lecture component with hands-on application of the material covered in lecture, as well as one-on-one consultation meetings concerning participants actual research and data analytic questions. Participants will be encouraged, but not required, to bring their own data so that they can apply these new methods to their own projects.

Resource Persons:

Professor Professor Ayanendranath Basu, Applied Statistics Unit, ISI., Kolkata Professor Saumyadipta Pyne, Ph.D., PC Mahalanobis Chair Professor, CR Rao

Advanced Institute of Mathematics, Statistics and Computer Science,University of Hyderabad Campus

Dr. Susmita Mukhopadhyay, Asst. Professor, VGSOM, IIT., Kharagpur Professor D. G. Mukherjee, (Head, Department of Psychiatry, R.G. Kar Medical College,

Kolkata) Dr. Koel Das (Assistant Professor Dept: Mathematics and Statistics, IISER)

The Trainees: The course is designed for faculty and professionals as well as for research fellows in Psychology and allied disciplines who are comfortable with data analysis software (i.e., SPSS, SAS) and multivariate modelling.

Item wise breakup of the budget proposed (Capital &Revenue) and justification for the same (not more than 1/4 page):

SL No. Item Amount 1 Air fare for 4 resource persons 80000 2 Boarding and lodging for 20 outstation participants for 4 days

@Rs.800 64000

3 Lunch for 80 participants @Rs. 400 for 3 days 96000 4 Tea & Snacks for 80 persons for 3 days @ Rs. 60 14400 5 Honorarium for 6 invited persons @2000 per hour 12000 6 Reading materials for 80 persons @Rs. 500 40000 7 Training kits (bag, writing pad, pen etc.) for 80 persons &

600 48000

8 Local transport for 3 days 20000 9 Advertisement and communication 5000 10 Food and accommodation charges 25000 11 Miscellaneous expenditure (Generator, photography, postal

expenses, banner, flower, secretarial assistance, contingencies etc.)

25000

12 Train (AC 3-tier) for 20 outstation participants 80000 Total 509400



27

7. List of all ongoing projects undertaken by the Proposing scientist in the last 5 years and for each, give (i) Status; (ii) Money budgeted; (iii) Money spent, (iv) Publications (if any) :

Title Status Money budgeted Money spent Publications

Winter school on Data Mining in Psychological Research

Completed 294000 253000

Differential validity of computer programming abilities (2012-15) Completed 549000 41692.11 4

Self-efficacy of Agricultural farmers (2009-10) Completed 1,71,000 75102.95 1

8. Expected date of Completion: March, 2019 9. Quarterly projection of Expenditure during 2016-2017:

1st 2nd 3rd 4th Total

Rev

.

Cap

.

Tota

l

Rev

.

Cap

.

Tota

l

Rev

.

Cap

.

Tota

l

Rev

.

Cap

.

Tota

l

Rev

.

Cap

.

Tota

l

25%

25%

25%

25%

25%

25%

25%

25%

100 %

100 %

For General Projects only (New)

Tota

l ex

pect

ed

budg

et

(A)

Prop

ose

d bu

dget

fo

r 20

09-

2010

Act

ion

Plan

/Tar

get i

n te

rms o

f pe

rcen

tage

(%)

Fina

ncia

l tar

get

in te

rms of

perc

enta

ge (%

)

Rev

. C

ap.

Tota

l

Rev

.

Cap

.

Tota

l

2018

-20

19

2017

-20

18

2016

-20

17

2016

-20

19

2018

-20

19

2017

-20

18

2016

-20

17

2016

-20

19

9.15

9.15

2.50

2.50

25%

30%

45%

28%

36%

36%

Publications: Dutta Roy, D. and Gupta, P. (2014).Construction of academic achievement test for high

school students. Journal of Psychometry, 28,2,(in print)



28

Santosh. S., Dutta Roy. D & Kundu P.S. (2013). Psychopathology, Cognitive Function, and Social Functioning of Patients with Schizophrenia. East Asian Achieves of Psychiatry; 23: 65-70.

Dutta Roy, D., Ghosh, S. and Rahman, F.H. (2012).Perceived Environmental Uncertainty in Crop cultivation in West Bengal: Agro Psychological Counselling Perspective. Indian Journal of Psychology. Special issue, January, 111-120.

Dutta Roy, D. (2011). School Psychology.Psybernews, 2, 3, 103-105. Dutta Roy, D. - Construct validity of writing motivation questionnaire. International

Journal of Psychological Research 3, 2, 6-11 Dutta Roy, D. (2010). Rabindrik Psychotherapy in Stress Management. PsyInsight. 1, 3,

10. Dutta Roy, D. and Basu, K. (2010). Autistic behaviour analysis: Pre-post and repeated

measure design. PSYBER NEWS: International Psychology Research Publication, 1, 4, 39-46.

Roy, A. and Dutta Roy, D. (2010).Predicting cash flow of Sarva Shiksha Abhiyan in West Bengal : An exploratory study of public finance. Journal of Management research in Emerging economics. Vol.1.1. (in print).

Dutta Roy, D. (2010).Cluster Analysis for Test-Retest Reliability. International Journal of Psychological Research, (published from USA). 3,9,132-140.

Dutta Roy, D. (2010).Construct validity of Reading motivation. Journal of the Indian Academy of Applied Psychology, (to be published in January 2011, vol.37, No.1).

Dutta Roy, D. (2010). Roy, A. and Dutta Roy, D. (2010). Predicting cash flow of Sarva Shiksha Abhiyan in West Bengal: An exploratory study of public finance. Journal of Management Research in Emerging Economies, 1, 1, (paper to be published).

Dutta Roy, D. and Mondal, A. (2010). Information organization errors in backward digit span task. PSYBER NEWS: International Psychology Research Publication, 1, 3, 43-49.

Dutta Roy, D. (2010). Stem-Leaf Plot: Problem of Data Visualization. PSYBER NEWS: International Psychology Research Publication, 1, 3, 50-54.

Dutta Roy, D. (2010). Challenges of Psychometrics. PSYBER NEWS: International Psychology Research Publication, 1, 3, 18-19.

Ganguly, A. and Dutta Roy, D. (2010). Web Content analysis to study researches on entrepreneurial psychology. PSYBER NEWS: International Psychology Research Publication, 1, 2, 27-31.

Dutta Roy, D. (2010). Data entry error.PSYBER NEWS: International Psychology Research Publication, 1, 2, 36-39.

Dutta Roy, D. (2010). Psychoinformatics: Innovation in mining randomized data. PSYBER NEWS: International Psychology Research Publication, 1, 1, 23-31.

Dutta Roy, D. (2010). Pre-Requisites of Psychological testing PSYBER NEWS: International Psychology Research Publication, 1, 1, 13-14.



29

SRU (General, New) Project No. 5.1

1. Topic: Small-marginal Landholders Farming and Livelihood Issues: A Study in Jharkhand

2. Brief background: Jharkhand is a state to about 85 percent small-marginal landholders. Further, about 70 percent landholdings belong to very marginal landholdings category (having below 1 acre of land). Small marginal farmers are inherently positioned as the subsistence producers in the state. Majority of the cultivators (both owner cultivators and tenant cultivators) fight poverty and their livelihood remains under stress. In 2011-12, 36.96 percent of Jharkhands population were below poverty line (Tendulkar methodology). Rural poverty in the state lies at 40.84 percent (Jharkhand Economic Survey 2013-14). Agrarian question is a question of ages in the state. The agrarian question remains pivotal in concern to property ownership, mode of production and in relation to distribution amongst others. Inequity and uneven distribution of landholding remains key agrarian issues. Opportunity to develop capitalism is constrained by different socioeconomic and political factors.

The epitome of whole agrarian discourse since twentieth century is on the issue of property, proprietorship and the mode of production (Thorner, 1956; Patnaik, 1972, 1986; Beteille, 1974; Ghosh, 1979; Desai, 1984; Omvelt, 1988). Moreover, the focus on green revolution and the role of technology in class formation had got profound space in agrarian studies during the same time (Byres, 1981). The review of literature in the field of agrarian studies suggests that under increasing livelihood concerns for small-marginal peasant landholdings, the political economy aspect cannot be over looked, particularly in the context of Jharkhand. Capitalism is restricted in under developed areas of Jharkhand as found in the work of Alpa Shah (2013); this agrarian issue, which is rare in a modern state, needs to be further explored in different geopolitical and economic set-up (in backward and non-backward areas). Further to be examined, if development (agrarian) is resisted by internal and external forces in the state. Moreover, to answer the above question will be inappropriate without identifying the agents and their activities that are antithetical to internal coherent development process. This may probably help in answering to the query why there is persistence of pre-capitalist relations of production in farming in some parts, and increasing bi-polarisation in some other parts of the state. Semi-feudal landlord-tenant exploitative property and production relation continues in some parts in the absence of proper land reforms implementation. It seems poverty is perpetuated through generations while allowing livelihood of some communities under stress. The above issues may be supplemented with other dimension of development discourse. A very few individuals from any caste or tribe could take advantages of statutory policy provisions and development practices, for instance reservation in employment and politics, restriction on land property transfer, etc for their own interest. They check the path of progress for the others even within their own caste or community. This may happen irrespective of backward and developed regions but may be in different degrees. This dimension is important to study under agrarian context.

3. Date of Commencement: April 2016 4. Name of the proposing scientist: Hari Charan Behera (Principal Investigator)



30

5. Other Associated Scientist with affiliation: External: Dr. Indrajit Pal (Co-Principal Investigator), School of Environment, Resources and Development & School of Engineering and Technology, Asian Institute of Technology, Thailand. Objectives & Methodology of the Study: To understand the nature of landholding distribution and mode of production in both

backward and non-backward areas of the state. To examine livelihood issues in the context of agrarian political economy with

reference to Jharkhand To illuminate the emergence of class differentiation and resistance to development of

capitalism in agriculture. To examine the role of modern state in agrarian development particularly with

reference to the small and marginal farmers Hypothesis: H1. The non-agrarian groups or individuals have greater control over the property and mode of production than their agrarian counter parts in both backward and non-backward areas H2: Upward mobility of poor peasant households is restricted by already empowered members of the same community H3: Development of peasant households is positively influenced under better land-market relations

Two agriculturally developed and two agriculturally backward districts from Jharkhand will be selected for the study. From each district two gram panchayats, one backward and other non-backward, will be considered for the study. Selection of gram panchayats will also be based on population of tribal, scheduled caste, other caste members and other backward classes communities. Two villages, one backward and the other non-backward, from each panchayat will be taken into account for the study. Due attention will be given to select a few most backward villages, and also socially disturbed villages. Selection of households from each hamlet will be based on SRS while selection of hamlet will be done through proportionate random sampling. Questionnaire is not the only tool but an important tool for data collection for household data collection. Village schedule will be employed for village level data collection. Collection of secondary data from the department of agriculture, or department of land reforms and revenue, and from the district level offices for collection of land related information about each selected district. Village level data will be collected from the selected blocks of each district. Just to supplement further, key livelihood indicators, but not limited to focus on food availability/nutrition through periodic calculation, housing pattern, access to fuel, income, saving, and other consumption practices will be taken into account. However, these livelihood issues in the agrarian context need to be discussed in relation to property rights, distribution and production relations along with freedom of choice over production and distribution. Additionally, basic socioeconomic indicators such as education, health condition, household access to basic services such as electricity, drinking water facility in village/household, sanitary mechanism, etc need to be studied.

6. I tem wise break-up of the budget proposed (Capital & Revenue) and justification for the same:



31

Items 2016-17 2017-18 Travel, local and field visits including taxi hiring charges (TA & DA)

120000 100000

Engagement of one Project Associate @ Rs. 16000/month for one year 2016-17 and 18000/month for six months (2017-18)

192000 108000

Supporting field investigators (2 nos.) @ Rs.500/Day for 30 days

30000 30000

Workshop/Seminar 200000 --- Computer consumables and other stationery items

15000 15000

Miscellaneous expenses 9000 9000 Total 566,000 262,000

7. Expected Date of Completion: April, 2018 8. List of all ongoing projects undertaken by the proposing scientist in the last 5 years:

Pilot Study on Dynamics of Land Use Pattern in North Chotanagpur Plateau: A Micro-level study Budget sanctioned: 130000 Amount spent: 110740 (1,15,290) Draft report submitted

9. Brief particulars of Assets, proposed to acquire from Capital Budget, should be mentioned. In case of

replacement, particulars of the asset to be condemned(e.g., Year of purchase, cost): Nil References:

Omvelt, G. and C. Gala (1988) Peasant Question is a Class Question, EPW, July 2, 1988 Byres, T.J. (1981) The New technology, Class Formation and Class Action in the

Country Side, Journal of Peasant Studies, Vol. 8, No.4, 1981 Beteille, A. (1974): Studies in Agrarian Social Structure, New Delhi: Oxford University

Press Ghosh, A. (1979) Caste Idiom for Class Conflict: Case of Khanjawala, Economic and

Political Weekly, February 3, 1979 Desai, A.R. (1984) Indias Path of Development: Marxist Approach, Delhi: Sangam

Books Limited Shah, Alpha (2013) The Agrarian Question in a Maoist Gaurrilla Zone: Land, Labour

and Capital in the Forests and Hills of Jharkhand, India, Journal of Agrarian Change, Vol. 13 No. 3, July 2013, pp. 424450.

Patnaik, Utsa (1972) Development of Capitalism in Agriculture-II, Social Scientist, October, 1 (3): 3-19

Patnaik, Utsa (1986) The Agrarian Question and Development of Capitalism in India, Economic and Political Weekly, 21 (18), pp. 781-93

Thorner, Daniel (1956) Agrarian Prospects in India, Delhi: University Press



32

SOSU (General, New) Project No. 6.2

1. Title of the project: Estimating the size and productivity of the 60+ population of India available for different productive activities

2. Brief objective:The objective of the project is to obtain a national profile of the segment of the 60+ population whose current non-employment in productive activities is not by preference or due to physical incapacity but from a lack of opportunity.The project will also study the implications of alternative government policies relevant to the issue. The project is proposed in response to the UGCs request to ISI to undertake research in gerontology. The UGCs letter refers to the National Policy for Older Persons (1999), which recognizes that the 60+ phase of life is a huge untapped resource. Facilities will be made available so that this potential is realized and individuals are enabled to make the appropriate choices. The study will be useful to assess the availability of older persons with professional qualifications and knowledge in science, arts,etc. for interaction with younger persons, on which the National Policy for Older Persons lays special stress.

3. Date of commencement: April 1, 2016 4. Name of the proposing scientist: Nachiketa Chattopadhyay, SOSU 5. Name of other associated scientists with their affiliation:

a. Diganta Mukherjee, SOSU b. AsitBaran Chakraborty, ISEC/SOSU c. MrinalBhaumik, ISEC/SOSU d. PrabirChaudhury, ISEC/SOSU

6. A brief write-up of the scope and justification of the project and proposed work:

The entire Indian population aged 60 or more is not a totally untapped resource: some are engaged in economic activities, usually in self-employment, as unpaid family workers in household enterprises, and as domestic workers, with another section fully occupied withhousehold duties. On the other hand, there is a large segment that has worked in regular wage/salaried employment till the age of superannuation and stops working not because of any decline in faculties but because the age clause in their work contract requires it. In surveys of employment, they are routinely reported as out of labour force. But their departure from the labour force is really a response to the state of opportunity perceived, rather than a supply problem. There is also a large section engaged in domestic duties (and out of labour force) because of a lack of opportunities for work outside their families. Finally, the rentiers, pensioners and remittance receivers are categories of populationwho, apart from having time for suitable work, include a large proportion that is highly qualified and equipped to provide training to younger people. The activity status classification of persons adopted in the NSS employment surveys together with the detailed classification by general and technical educational level and information on vocational training received, if any enables us to identify, from unit level survey data, the segments of 60+ population whose productive potential is presently not realized. The data collected on reason for pursuance of domestic duties of those principally engaged in such duties will also be relevant here. Since the latest available



33

employment survey data relates to 2011-12, obtaining estimates of the relevant population categories for, say, 2017-18, will require mortality adjustments through appropriate use of life tables taking into account the heterogeneity of the population. It will, additionally, be necessary to use unit level data on illness from the NSS healthsurvey of 2014. Apart from these,the exercise will use micro Census data available at ISI Data Centre and productivity data from CSO (ASI and other relevant surveys).It is also proposed to interact with the Institute of Applied Manpower Research (now the National Institute for Labour Economics Research and Development) for possible use of their databases, and request institutions like ICSSR and UGC to share reports of similar studies.We will need to have discussions and meetings with relevant Ministry officials in Kolkata or elsewhere; thus travel and accommodation costs will be incurred for the investigators as well as the invitees.

7. Itemwise break-up of the budget proposed (Capital & Revenue) and justification for the same: For 2016- 2017 (a) Revenue Expenditure:

Project-linked personnel (12 Rs.20,000) Books, Computer consumables, reprography, publications Contingency Discussions/meetings with stakeholders Overheads

Rs.2,40,000.00 Rs.30,000.00 Rs.30,000.00

Rs.1,00,000.00 Rs. 40,000.00

Total Rs.4,40,000.00

(b) Capital Expenditure: NIL

For 2017- 2018 (a) Revenue Expenditure:

Project-linked personnel (12 Rs.20,000) Contingency Discussions/meetings with stakeholders Overheads

Rs.2,40,000.00 Rs.30,000.00

Rs.2,00,000.00 Rs.50, 000.00

Total Rs.5,20,000.00

(b) Capital Expenditure: NIL 8. Brief particulars of assets proposed to be acquired. In case of replacement,

particulars of the assets to be condemned: Not applicable 9. List all ongoing projects undertaken by the Proposing Scientist: Review and

Compilation of Trade Indices (sponsored by Directorate-General of Commercial Intelligence and Statistics)

10. Expected date of completion: March 31, 2018 11. Quarterly projection of expenditure during 2016-17

1st 2nd 3rd

Rev Cap Total Rev Cap Total Rev Cap Total 1,40,000 - 1,40,000 1,20,000 - 1,20,000 1,00,000 - 1,00,000

4th Total

Rev Cap Total Rev Cap Total 80,000 - 80,000 4,40,000 - 4,40,000



34

12. For general projects only (ongoing): Not applicable 13. For general projects only (new):

For expected budget (A) Proposed budget for 2016-17 (B) Rev Cap Total Rev Cap Total

9,60,000 - 9,60,000 4,40,000 - 4,40,000

Action plan/ target in terms of percentage

Financial target in terms of percentage

2016-17 2017-18 2016-17 2017-18 50% 50% 46% 54%

14. Data sources: Govt. of India, MoS&PI, National Sample Survey Office (2006). NSS Report No.

505: Employment and Unemployment Situation in India, 2004-05. Govt. of India, MoS&PI, National Sample Survey Office (2011). NSS Report No.

537: Employment and Unemployment Situation in India, 2009-10. Govt. of India, MoS&PI, National Sample Survey Office (2013). NSS report No.

554: Employment and Unemployment Situation in India, 2011-12. Govt. of India, MoS&PI, National Sample Survey Office (2006). NSS Report No.

507: Morbidity, Health Care and the Condition of the Aged. Govt. of India, MoS&PI. Unit level data of NSSO survey on employment and

unemployment: NSS 61st, 66th and 68throunds. Govt. of India, MoS&PI. Unit level data of NSSO survey on health: NSS 60th and 71st

rounds. Govt. of India, Office of the Registrar-General and Census Commissioner of India.

Census 2001 and 2011: Various publications.



35

ongoing ProjectS

Plan 0n-Going Projects


On-Going, Noth East Project

1 LRU 2.2 The Biaxial Syntax of Inflected Clauses in Assamese and Bangla (Northeast, On-Going) (2014-2017)

Probal Dasgupta 36

2

SOSU 6.3 North East Official Statistics Workshop (Northeast, On-Going)

Prasanta Pathak 38

3 EAU 8.1 Livelihoods, homestead farming and human development in Tripura (Northeast, On-going) (2015-2017)

Madhura Swaminathan

39

On-Going, General Project

4 ERU 1.2 Annual Research Workshop for Doctoral Students in Economics in Collaboration with Indira Gandhi Institute for Development Research (IGIDR): Supplementary Proposal (General, On-Going)


42

5 LRU 2.3 Bengali Pronunciation Dictionary (General, On-Going) (2015-2018) Niladri Sekhar Dash 44

6 PRU 5.2 Gender and Labour: A Study of Coffee Industry of Karnataka (General, On-going) (2015-2018)

Molly Chattopadhyay 48

7 PRU 5.3 The contribution of unpaid family workers in the handloom sector of textile industry. (General, On-going) (2015-2017)

Sonali Chakraborty 53

8 EPU 7.1 Annual Conference (General, On-going) Faculty of EPU 57



36

LRU (Northeast, On-going) Project No. 2.2 1. Title of the project: The Biaxial Syntax of Inflected Clauses in Assamese and Bangla 2. Brief objective and justification (2 or 3 sentences): Biaxial syntax, the syntactic wing of

substantivist generative grammar, focuses on incidence differentials and other effects that involve both the syntagmatic axis and the paradigmatic axis. The project proposed here will study the greater incidence of gerundial complement clauses in Assamese relative to Bangla, whose complement clause default is finite, on the basis of corpus data.

3. Date of Commencement: April 2014 4. Name of the Proposing Scientist/Principal Investigator: Probal Dasgupta, LRU, ISI 5. Name of other associated Scientists with their affiliation: Jyoti P. Tamuli, Gauhati Univ,

Guwahati, Assam 6. A brief write up on the scope and justification of the project and the proposed work (not

more than half a page): Nominally inflected clauses in Bangla have been under intensive investigation since the seventies and are relatively well understood (Dasgupta 1979, 1980, Bhattacharya 2000). Their Assamese counterparts were found by Ghosh (2001 personal communication) to occur over a wider paradigmatic range than in Bangla. In certain contexts where finite complement clauses are mandatory in Bangla and many other well studied languages, Assamese uses nominally inflected clauses instead. The agenda of biaxial syntax (Dasgupta 2011) unlike the formalistic paradigm focuses on such incidence differentials to highlight effects that involve both syntagmatic phenomena and the paradigmatic axis. Thus, we propose to describe initially in synchronic terms the incidence contrast between Assamese and Bangla with regard to nominally inflected clauses, sometimes called gerundial constructions. We shall begin by considering data available in CIILs Assamese and Bangla corpora and expand our empirical coverage by gather fresh texts. We propose to focus on written texts and on speaker intuitions, which have been argued (Dasgupta 2011) to be consubstantial with the written mode.

7. Item wise break up of the budget proposed (Capital & Revenue) and justification for the same (not more than 1/4 page): Items Heads 2014-2015 2015-2016 2016-2017 Total Capital NIL NIL NIL NIL Revenue Salary of 1 Project Linked Person (20,000 X 36 months = 7,20,000)

2,40,000 2,40,000 2,40,000 7,20,000

Stores and stationeries 15,000 15,000 15,000 45,000 Computer consumables 10,000 10,000 10,000 30,000 Maintenance 10,000 10,000 10,000 30,000 Total: 2,75,000 2,75,000 2,75,000 8,25,000

8. Brief particulars of Assets, proposed to be acquired from Capital Budget, should be mentioned. In case of replacement, particulars of the asset to be condemned (e.g., Year of Purchase, Cost): Nil. 9. List of all ongoing projects undertaken by the Proposing Scientist in the last 5 years and for each, give (i) Status (ii) Money budgeted, (iii) Money spent, (iv) Publications (if any):



37

No. of on-going projects : 1 (One) Title : Biaxial Study of Bangla Lexicosyntax Status : To be Completed in March 2016 Money Budgeted in 2014-15 : Rs. 2,80,000/- 10. Expected date of Completion: March 2017 11. Quarterly projection of Expenditure during 2014-2015 1st 2nd 3rd 4th Total

Rev

.

Cap

.

Tota

l

Rev

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Cap

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Tota

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