Indian Statistical Institute · SSD Plan Budget Proposals for the year 2018-19 . 3 . Prepared By:...

PLAN BUDGET PROPOSALS FOR THE YEAR 2018-2019

Revised on October 2017

Social Sciences Division

Indian Statistical Institute

203, Barrackpore Trunk Road Kolkata 700 108

SSD Plan Budget Proposals for the year 2018-19

2 Prepared By: Sri Satyajit Malakar, SSD



SUMMARY CONTENTS Plan New Projects

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

New, Noth East Project 1 LRU 2.1 Traning on ‘Application of Statistical Techniques in Linguistic Stuidies’ (Northeast, New)

(2018-2019) … Niladri Sekhar Dash

and Probal Dasgupta … 8

2 SOSU 6.1 North East Training Program on Applications of Statistics in Social Sciences and Official Data (Northeast, New) (2018-2019)

… Kajal Dihidar … 10

New, General Projects 3 LRU 2.2 POS Tagged Bangla Text Corpus Generation (General, New) (2018-2021) … Niladri Sekhar Dash … 14 4 PSU 3.1 Workshop on Techniques of Analysis of Demographic and Health Statistics and Application

of Computer Software (General, New) (2018-2019) … Prasanta Pathak,

Partha De and Subhas Burman

… 21

5 PRU 4.1 Orientation training on Data Visualization (General, New) (2018-2019) … Debdulal Dutta Roy … 25 6 PRU 4.3 Development of Face Recognition Test for ethnicities in West Bengal using Real World

Facial Images (General, New) (2018-2021) … Garga Chatterjee

… 160

7 SRU 5.1 A micro-level study of impact of life-style and socio-economy on adolescent overweight or obesity in Kolkata city, West Bengal. (General, New) (2018-2020)

… Susmita Bharati … 28

8 SRU 5.2 Contract Farming: Participation, Partnership and Socioeconomic Development in Eastern India (General, New) (2018-2019)

… Hari Charan Behera … 38

9 EAU 8.1 Workshop on Data Anomaly in Official Statistics regarding Women’s Labour in India. (General New) (2018-2019)

… Molly Chattopadhyay

… 44

Plan 0n-Going Projects Srl Unit Project No. and Name of the Project Project Leader(s) Page

On-Going, Noth East Project

1 ERU 1.1 Training on Advanced Econometric Methods and Their Applications, (Northeast, On-Going) (2017-2020)

… Amita Majumder, Samarjit Das

… 50

2 SOSU 6.3 North-East Training Programme (Northeast, On-Going) (2016-2019) … Head, SOSU … 53

On-Going, General Project

3 ERU 1.2 Pilot Survey of the Informal/Unorganised Sector: Application of an Easily Implementable Sampling Strategy (General, On-Going) (2016-2019)

… Amita Majumder … 55

4 ERU 1.3 Bayesian Incentive Compatible Mechanism Design (General, On-Going) (2016-2019) … Souvik Roy … 57

5 ERU 1.4 Lecture-cum-workshop series on advances in economic theory and applications: 2017-18 to 2020-2021 (General, On-Going) (2017-2021)

… Indraneel Dasgupta, Soumyanetra Munshi, Souvik Roy

… 60

6 PRU 4.2 Safe school survey (General, On-Going) (2016-2019) … Debdulal Dutta Roy … 63

New Plan Projects start from page no. … 8

On-Going Plan Projects start from page no. … 50

Plan Budget Non-Projects (2018-19) start from page no. … 66

Publications (2012-17) starts from page no. … 79

Interim Reports (2016-17) start from page no. … 144

Divisional Plan Budget Proposal for Projects (2018-19) [summary Sheet] … 165

Divisional Plan Budget Proposal for Non-Projects (2018-19) [summary Sheet] … 166



Contents (By unit)

Name of the Project Project Leader(s) Page

Members of the Technical Advisory Committee, Social Sciences Division for the year 2016-2018 … … 7 1 Economic Research Unit

1.1 Training On Advanced Econometric Methods And Their Applications, (Northeast, On-Going) (2017-2020) … Amita Majumder, Samarjit Das … 50

1.2 Pilot Survey of the Informal/Unorganised Sector: Application of an Easily Implementable Sampling Strategy (General, On-Going) (2016-2019)

… Amita Majumder … 55

1.3 Bayesian Incentive Compatible Mechanism Design (General, On-Going) (2016-2019) … Souvik Roy … 57

1.4 Lecture-cum-workshop series on advances in economic theory and applications: 2017-18 to 2020-2021 (General, On-Going) (2017-2021)

… Indraneel Dasgupta, Soumyanetra Munshi, Souvik Roy.

… 60

Non-project plan proposals for the year 2018-19 … … 66 List of Publications of DCSW Members: 2012 – 2017, ERU … … 79 Interim Report ERU (2016-17) … Souvik Roy … 144 2 Linguistic Research Unit

2.1 Traning on ‘Application of Statistical Techniques in Linguistic Stuidies’ (Northeast, New) (2018-2019) … Niladri Sekhar Dash and Probal Dasgupta

… 8

2.2 POS Tagged Bangla Text Corpus Generation (General, New) (2018-2021) … Niladri Sekhar Dash … 14

Non-project plan proposals for the year 2018-19 … … 67 List of Publications of DCSW Members: 2012 – 2017, LRU … … 94 Interim Report LRU (2016-17) … Niladri Sekhar Dash … 141 Final Report LRU (2014-17) … Probal Dasgupta … 155 3 Population Studies Unit 3.1 Workshop on Techniques of Analysis of Demographic and Health Statistics and Application of Computer Software

(General, New) (2018-2019) … Prasanta Pathak, Partha De

and Subhas Burman … 21

Non-project plan proposals for the year 2018-19 … … 69 List of Publications of DCSW Members: 2012 – 2017, PSU … … 100 4 Psychology Research Unit 4.1 Orientation training on Data Visualization (General, New) (2018-2019) … Debdulal Dutta Roy … 25

4.2 Safe school survey (General, On-Going) (2016-2019) … Debdulal Dutta Roy … 63

4.3 Development of Face Recognition Test for ethnicities in West Bengal using Real World Facial Images (General, New) (2018-2021)

… Garga Chatterjee

… 160

Non-project plan proposals for the year 2018-19 … … 70 List of Publications of DCSW Members: 2012 – 2017, PRU … … 103 5 Sociological Research Unit 5.1 A micro-level study of impact of life-style and socio-economy on adolescent overweight or obesity in Kolkata city,

West Bengal. (General, New) (2018-2020) … Susmita Bharati … 28

5.2 Contract Farming: Participation, Partnership and Socioeconomic Development in Eastern India (General, New) (2018-2019)

… Hari Charan Behera … 38

Non-project plan proposals for the year 2018-19 … … 72 List of Publications of DCSW Members: 2012 – 2017, SRU … … 106 Interim Report SRU (2016-17) … Hari Charan Behera … 149 Final Report SRU (2016-17) … Hari Charan Behera … 156 6 Sampliing & Official Statistics Unit 6.1 North East Training Program on Applications of Statistics in Social Sciences and Official Data (General, New) (2018-

2019) … Kajal Dihidar … 10

6.3 North-East Training Programme (Northeast, On-Going) (2016-2019) … Head, SOSU … 53 Non-project plan proposals for the year 2018-19 … … 74 List of Publications of DCSW Members: 2012 – 2017, SOSU … … 116



7 Economics & Planning Unit, Delhi Centre

Non-project plan proposals for the year 2018-19 … … 75 List of Publications of DCSW Members: 2012 – 2017, EPU, Delhi Centre … … 122 8 Economic Analysis Unit, Bangalore Centre

8.1 Workshop on Data Anomaly in Official Statistics regarding Women’s Labour in India. (General, New) (2018-2019)

… Molly Chattopadhyay … 44

Non-project plan proposals for the year 2018-19 … … 77 List of Publications of DCSW Members: 2012 – 2017, EAU, Bangalore Centre … … 136 Interim Report EAU (2016-17) … Molly Chattopadhyay … 151 Final Report EAU (2015-17) … Madhura Swaminathan … 158 9 Social Sciences Division Office

Non-project plan proposals for the year 2018-19 … … 78 Divisional Plan Budget Proposal for Projects (2018-19) … … 165 Divisional Plan Budget for Non-Projects (2018-19) … … 166



Members of the Technical Advisory Committee Social Sciences Division for the year 2016-2018

1. Professor Sanghamitra Bandyopadhyay Director (Chairman) Indian Statistical Institute, Kolkata 700 108

2. Professor Achla Raina Department of Humanities and Social Sciences, Indian Institute of Technology, Kanpur

3. Professor Rajni Palriwala Department of Sociology, University of Delhi, Delhi – 110007

4. Professor Saikat Sinha Roy Department of Economics, Jadavpur University, Kolkata

5. Professor Arvind Pandey Ex-Director, National Institute of Medical Statistics, ICMR, Ansari Nagar, New Delhi 110 029

6. Dr. Subrata Lahiri Former Professor and Head, Department of Public Health and Mortality Studies, International Institute of Population Studies, IIPS, Mumbai-400 043

7. Professor Manoj Kumar Panda Director, Institute of Economic Growth, University of Delhi Enclave, North Campus, Delhi 110 007

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



LRU (North-East, New) Project No. 2.1

1. Title of the Project: TRAINING ON ‘APPLICATION OF STATISTICAL TECHNIQUES IN LINGUISTIC STUDIES’

2. Brief Objective and Justification (2 or 3 sentences): The goal is to impart training in the

use of statistical methodologies and tools in the study and analysis of language data to the researchers and academicians in linguistics of the North Eastern (N-E) states as well as of non-N-E states. It is expected that such a training would enrich them academically and help them in doing research on linguistics having sufficient quantitative content, and also provide them with better job opportunities. The emphasis would be on application of some of the basic statistical tools and methods in different domains of applied and theoretical linguistics. The workshop will be held at the North-East Centre of ISI at Tezpur with appropriate faculties drawn from ISI, Kolkata and ISI, N-E Centre. The Chairman of the Committee for ISI N-E Centre has agreed to extend all possible help in this regard.

3. Date of Commencement: April 2018. 4. Expected Date of Completion: March 2019 5. Names of Proposing Scientists: Niladri Sekhar Dash and Probal Dasgupta 6. Names of other Associated Scientists: None 7. Scope and Justification of the Project:

Perhaps this will be the first training programme of this kind in India where the importance of statistics in research and application of language data will be discussed at length. The basic aim of this academic programme is to train research scholars and researchers in linguistics from North Eastern and non-N-E states in the use of statistical techniques in various areas of linguistics, namely, corpus linguistics, language technology, natural language processing, cognitive linguistics, translation studies, computer assisted language teaching, language documentation and digitization, language description, computational lexicography, language modelling, etc. The proposed programme will provide participants with an excellent opportunity to familiarize themselves with applications of statistics in linguistics research. The statistical techniques to be covered include Basics of Probability Theory, Measures of Central Tendency and Dispersion, Basics of Sampling Theory including SRSWR and SRSWOR, Hypothesis Testing, Measures of Association, Classification Tree Analysis, Configurational Frequency Analysis, Correlation and Regression Analysis, ANOVA, Chi-Squared test, t-test, Cluster Analysis, Discriminant Analysis, Multidimensional Scaling, and Hidden Markov Model. The participants would be adequately trained to use these methods and tools in language data analysis and linguistic research and development works. In this program, few lectures on statistical software, SPSS, would be given, and adequate hands-on- exercises would constitute an integral component of this training program. We would like to view this programme as an important first step towards disseminating the importance of modern statistics in linguistic research activities so that level of such research works in the country could be significantly improved. Moreover, through this programme ISI will succeed in establishing its academic significance and functional relevance in the mainframe linguistic activities of the country.



Our target is to register thirty (30) participants for the week-long orientation programme. The target group will include research scholars, and researchers working in various domains of linguistics in both N-E and non N-E states. Some final year Master’s students in Linguistics may also be considered. The participants will be selected based on their CVs and merit of research proposals to be submitted by them. Finally, this is, however, imperative that issues like number of participants, number of experts, duration of training, etc. may vary based on the budget approved as well as on other logistic issues linked with the programme.

8. Item wise break-up of the budget proposed (Capital & Revenue) and justification

for the same (not more than 1/4 page):

No. Item Heads 2018-2019 Total 01 Capital NIL NIL 02 Accommodation for Participants 50,000 50,000 03 Food (Breakfast, Lunch, Dinner, Tea, water etc.) 1,00,000 1,00,000 04 Airfare for Experts 2,00,000 2,00,000 05 Conference Kit + Stationers 30,000 30,000 06 Road Transport (Guwahati-Tezpur-Guwahati) 1,00,000 1,00,000 07 Miscellaneous 20,000 20,000 Total 5,00,000 5,00,000

9. Brief Particulars of the Assets to be procured

Not Applicable

10. 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

Not Applicable

11. Quarterly projection of Expenditure during 2018-2019

1st 2nd 3rd 4th Total

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SOSU (North-East, New) Project No. 6.1

1. Project Title : North East Training Programs on (1) Applications of Statistics in Social Sciences and (2) Applications of Statistics on Official Data

2. Name of Proposing Scientists : Kajal Dihidar 3. Name of Others Scientists associated with their affiliation : Nil 4. Date of Commencement : April 2018 5. Project Summary (Max. 200 words): The main objective of this project is Enhancing

the manpower in North Eastern States of India for development of the entire region. The proposed program is meant for research fellows, young teachers/researchers in various disciplines of Social Sciences working in colleges, universities, institutions, who are actively engaged in empirical research in their line of work as well as Officers from various statistical services of the government.

6. Introduction with Background (Max. 300 words): SOSU has conducted several workshops on Applications of Statistics in various disciplines like Biosciences, Social Sciences and Physical Sciences and Official Data since its birth in 2012. The attended participants (MPhil students, Research Scholars and young faculty from those disciplines who are engaged in analysing data in their line of work as well as Officers from various statistical services of the government) from North Eastern States of India 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.

7. Objectives: The core objective of the proposed workshop will be to equip the research scholars/teachers with set of skills and potentiality to undertake the research very effectively in the disciplines of social science and to turn completed research into publishable material of high quality in the form of articles, journals and books. In the same time, the course will be used to enhance the capacity of the officers engaged in various government departments and public-sector departments. The course will intend to deal with variety of quantitative and qualitative research methods used in social sciences. It will also give exposure to data analysis with the help of software packages. By the end of such programme the participants will be expected to develop conceptual clarity and practical knowledge to undertake quality research and to produce quality official statistics.

As the students/researchers in social sciences and the government officials have very different data analysis requirements, we plan to hold to two separate workshops at two different North East India Venue as follows. Workshop 1: Workshop on `Applications of Statistics in Social Sciences’ targeted for students and/or researchers in various disciplines of Social Sciences. Workshop 2: Workshop on `Applications of Statistics on Official Data’ targeted for government officials.

Statistical Tools and methods to be used for Workshop 1: The program will be formulated keeping in mind the level suitable for researchers to be able to learn how to formulate their hypotheses to be tested and analyze their data. The topics to be covered are: Different types of variables, diagrammatic presentation of data, Basic exploratory



univariate data analysis with measures of central tendency, dispersion, histogram, box plot, etc. Exploratory bivariate data analysis both for categorical and continuous variables. Various types of basic hypotheses testing, e.g. Chisq test of independence, one and two sample tests for means, proportions, analysis of variance, normality assumption testing, non-parametric tests. Various regression analyses, e,g. multiple linear regression, logistic regression, ordinal logistic regression, Poisson regression analysis. Scaling techniques and reliability analysis. Several multivariate statistical analyses, e.g. factor analysis, cluster analysis, discriminant analysis. Time table will be prepared with ample scope for hands-on practice to analyze the social science related data and understanding the interpretation with suitable statistical software available, say, with any one of SPSS/R/Excel.

Statistical Tools and methods to be used for Workshop 2: The program will be formulated keeping in mind the level suitable for newly appointed government officials to be able to learn how to analyze the official data and how to produce the meaningful official statistics indicators. The topics to be covered are: Introduction to Official Statistics. Basic descriptive statistics and inferential statistical analyses, census and sample surveys. Framework of National Accounts and State Domestic Product, Vital Statistics, Agricultural Statistics, Fiscal and macro-economic indicators, Price Statistics, Basic Time Series analysis, Industrial Statistics. Here also the time table will be prepared with ample scope for hands-on practice to analyze the available official data, understanding the interpretation and to produce the meaningful official statistics presentable in government reports with suitable statistical software available, say, with any one of SPSS/R/Excel.

We will try to make use of local resource persons from the host universities and or organizations as well. The resources available in ISI (faculty from SOSU as well as from other units) for training in statistics, data analysis will be used for this purpose. The programme will be formulated keeping in view the requirements of the potential participants and use of computers in their data processing works. For assisting in hands-on practical classes the expertise of available trainee personnel of SOSU may be utilized.

8. Budget Estimates : Summary Revenue Expenditure, 2018 – 19: Details below is for one workshop.

A. Salary Expenditure: Nil. B. Below are for General Expenditures.

1. Travel for resource persons (7 individuals including one office staff) a) Air, Taxi, Hired Car Fare (From Kolkata to Venue & Back) b) Local transport at venue

Rs. 70,000.00 Rs. 40,000.00

2. Boarding and Lodging a) T.A./D.A. for External candidates (15 persons) b) For 3 resource persons (Rs. 3000/head/day for 6 days) c) For 4 resource persons (Rs. 4000/head/day for 4 days)

Rs. 70,000.00 Rs. 54,000.00 Rs. 64,000.00

3. Workshop lunch and tea for 5 days Rs. 80,000.00 4. Stationary, Workshop kit & training materials

Rs. 60,000.00

5. Remuneration for supporting staffs Rs. 20,000.00 6. Miscellaneous Rs. 20,000.00

Total Rs. 4,78,000.00 Total budget for two such proposed workshops = 2 X Rs. 4,78,000.00 = Rs. 9.56,000.00.



b) Capital Expenditure:

Nil Nil

Expected date of Completion: March 2019

9. Quarterly projection of Expenditure during Year 1 : One workshop will be held within first 6 months and the another one will be held within next 6 months.

1st 2nd 3rd 4th

Salary Gen. Cap. Total Salary Gen. Cap. Total Salary Gen. Cap. Total Salary Gen. Cap. Total

50% 50%

10. List of all completed and/or ongoing project undertaken by the proposing scientists

in the last 5 years : Nil a. Project title : b. Status : c. Money Budgeted : d. Money spent : e. List of Publications : f. Capital item purchased :

List of Publications of the proposing scientist in last 5 years: 1. Dihidar, K. and Bhattacharya, M. (2017). Estimating sensitive population

proportion using a combination of binomial and hypergeometric randomized responses by direct and inverse mechanism. Statistics in Transition, New series. 18(2), 193 - 210.

2. Pal, S., Dihidar, K., Pal, S., Basak, S., Ghosh, A. and Mandal, G. (2017). A

revisit to the determination of robust optimum plot size. Asian Academic Research Journal of Multidisciplinary. 4(5), 61-73.

3. Dihidar, K. and Basu, L. (2017). Privacy Protection in Estimating Sensitive Population Proportion by a Modified Unrelated Question Model. Statistics and Applications. 15(1 & 2), 19 – 25.

4. Dihidar, K. (2016). Estimating Sensitive Population Proportion by Generating

Randomized Response Following Direct and Inverse Hypergeometric Distribution. Chapter 26 (pages: 427 - 441) in Handbook of Statistics, vol 34 : Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits. Edited by Arijit Chaudhuri, Tasos C. Christofides and C.R. Rao. Elsevier, North Holland, Amsterdam, The Netherlands.



5. Pal, S., Mandal, G. and Dihidar, K. (2015). Determination of robust optimum plot size and shape - a model-based approach. Biometrical Letters. 52(1) , 13-22.

6. Dihidar, K. (2015). On the comparison of some randomized response techniques under unequal probability sampling and superpopulation

modelling. Model Assisted Statistics and Applications. 10, 299-307. 7. Dihidar, K. (2015). Simultaneous estimation of several survey population

parameters in complex surveys by Bayesian and classical methods. Model Assisted Statistics and Applications. 10, 163-173.

8. Dihidar, K. (2014). Estimating population mean with missing data in unequal

probability sampling. Statistics in Transition. . New Series, 15(3), 369-388. 9. Chaudhuri, A. and Dihidar, K. (2014). Generating randomized response by

inverse mechanism. Model Assisted Statistics and Applications. 9, 343-351. 10. Mukherjee, D., Mitra, S., Dihidar, K., Mukherjee, A., Talukdar, P., and Poddar,

M. (2013). Community vs. individual targeting in CSR projects: A case study in West Bengal. Productivity. 54 (3), 275-290.

11. Dihidar, K. and Chowdhury, J. (2012). Enhancing a randomized response model

to estimate population means to sensitive questions. Mathematical Population Studies. 20, 123-136.



LRU (General, New) Project No. 2.2

1. Title of the Project: POS Tagged Bangla Text Corpus Generation 2. Name of the Proposing Scientist: Niladri Sekhar Dash, LRU, ISI 3. Names of Other Scientists associated with their affiliation:

(a) Dr. Probal Dasgupta, Professor and Head, LRU, ISI, Kolkata (b) Dr. Kaushik Roy, Professor, Dept. of CSE, Barasat State University,

Barasat (c) Dr. Sudip Naskar, Assistant Professor, Dept. of CSE, Jadavpur University,

Kolkata (d) Dr. Atanu Saha, Assistant Professor, School of LL, Jadavpur University,

Kolkata 4. Date of Commencement: April 2018 to end in March 2021 5. Project Summary (200 words):

• Convert ISCII-based TDIL Bangla Text Corpus into Unicode compatible text • Normalize the TDIL Bangla Text corpus of 3 million words • Render the normalized TDIL Bangla Text Corpus into RTF version • Break the normalized TDIL Bangla Text Corpus at the sentence level • Separate grammatically valid sentences from segments in the corpus • Convert Bangla sentences from doc version to excel version • Use the BIS (GOI) Tagset for POS tagging of words in the corpus • Develop a POS (Part-of-Speech) Tagged Bangla Text Corpus • Make this resource available for all kinds of LT works for Bangla • Make this resource available for Applied Linguistics works • Make this resource available for commercial utilization by IT industries

6. Introduction with Background (300 words):

Most of the corpora developed for Bangla so far contain only text data in a simple format so as to make the text accessible to human users. Due to many technical reasons, however, these text corpora have not yet been annotated with textual and extratextual encoding for machine readability. But it is understood that a corpus without textual and extratextual information encoded within the text itself, has least applicational relevance in linguistics and language technology. It is, therefore, necessary to develop annotated Bangla text corpora of various types (orthographic, prosodic, grammatical, semantic, anaphoric, discoursal, etymological, figurative, etc) to make the texts usable for all kinds of linguistic and language technology works. Since all kinds of annotation are not possible to carry out on a single platform, in this project, I propose only for POS level annotation on the Bangla text corpus following the BIS POS annotation guidelines proposed by the Govt. of India.

7. Description of the Problem (max 300 words)

The present project is in accordance with the recent Pan-Indian initiative of the DeitY, Govt. of India for generation of digital linguistic resources (like POS Tagged Corpora, Digital Lexical Databases, Scientific & Technical TermBanks, Chunked Corpora, Parsed Corpora, TreeBanks, Digital Dictionaries, WordNets, etc.) for all the Indian languages to



put the Indian languages in the list of resource-rich Asian languages (along with Chinese and Japanese), based on which, at the global level, Indian languages can establish their functional relevance in language technology works (man-machine interface, machine translation, data and information retrieval, e-governance, on-line language education, etc). Since Bangla is recognized as one of the resource-poor Indian languages, it is an urgent need to develop digital linguistic resources of various kinds for Bangla the lack of which has kept the language remarkably low in the field of language technology works. Bangla language urgently requires a resource like POS tagged corpora without which it is almost impossible to achieve any major breakthrough in Bangla language technology works. Hence I propose to develop a POS tagged Bangla text corpus, an essential resource for language technology and applied linguistic works for the language. Since it is a highly specialized work, people having wide experience in the area of corpus generation and processing can develop such a useful resource. Some of the essential components that are required for this project are already made ready for this purpose. These include the followings:

(1) TDIL Bangla Text Corpus of 3 million words (2) Unicode version of the TDIL Bangla text corpus (3) BIS POS tagset (Approved and accepted by GOI) (4) GUI tool for POS tagging in the corpus (5) Trained people for POS tagging (6) Expert in corpus management and processing

8. Objectives

(a) Convert ISCII-based TDIL Bangla Text Corpus into Unicode compatible text (b) Normalize the TDIL Bangla Text corpus of 3 million words (c) Render the normalized TDIL Bangla Text Corpus into RTF version (d) Break the normalized TDIL Bangla Text Corpus at the sentence level (e) Separate grammatically valid sentences from segments in the corpus (f) Convert Bangla sentences from doc version to excel version (g) Use the BIS (GOI) Tagset for POS tagging of words in the corpus (h) Develop a POS (Part-of-Speech) Tagged Bangla Text Corpus (i) Make this resource available for all kinds of LT works for Bangla (j) Make this resource available for Applied Linguistics works (k) Make this resource available for commercial utilization by IT industries

9. Study Area

A POS-tagged text corpus is an indispensable linguistic resource in research and development works of language technology and applied linguistics. In language technology, a POS tagged corpus is used in generation of digital lexical profile, digital dictionary, machine-readable dictionary, morphological processing, grammar checking, parsing, WordNet, information retrieval, information extraction, question answering, machine learning, machine translation, knowledge representation, semantic web technologies, word segmentation, named entity recognition, data mining, and many other works. On the other hand, in applied linguistics, a POS-tagged text corpus is used in syntactic, semantic and discourse analysis of texts, computer assisted language teaching, e-learning, on-line teaching, grammar writing, language planning, and language description. That means many important works of language technology and applied linguistics can be successfully carried out if a POS tagged corpus is available.

10. Review and Status of Research and development in the subject (max 500 words)



10.1 International Status No. POS Tagged Bangla Text

Corpus Developer Available at Price

01 4K sentences news text Microsoft Research India LDC, University of Pennsylvania, USA

USD 5000

02 50K sentences of Emilie Corpus

Lancaster University, UK Lancaster University, UK USD 10000

03 5K sentences of news text

LDC-IL, CIIL, Mysore, Not available for general use

04 25K sentences from Health text (ILCI-I)

LRU, ISI, Kolkata DeitY, MeitY, Govt. of India

Free from TDIL.org

05 25K sentences from Tourism Text (ILCI-II)


Free from TDIL.org

06 10K Sentences in Agriculture domain ILCI-2


Free from TDIL.org

07 10K Sentences in Entertainment domain ILCI-2


Free from TDIL.org

08 30K sentences in Mass Media Text ILCI-2


Free from TDIL.org

Table 1: Availability of POS tagged Bangla text corpus till date

The last five sets of POS tagged Bangla corpus are used by MT teams of IIT-Mumbai, IIIT-Hyderabad, Jadavpur University, as well as by a large number of Ph.D. scholars across the country.

10.2 National Status

With more than 25 years of experience in corpus generation, annotation, processing, and utilization, the present proposer is willing to develop this resource for Bangla in its most usable format for global utilization. Although there are a few universities and institutes in West Bengal where language technology works are carried out (e.g., Jadavpur University, Indian Institute of Technology-Kharagpur, etc), except the present institute, none of them has ever worked in this area and none of them has ever tried to develop POS tagged corpus for Bangla.

10.3 Novelty of the present Proposal

It is visualized that once this resource is made available to the Bangla speech community, new horizons of research and development works will open up. The resource will be the first of its kind in Bangla. The immediate beneficiaries of this resource will be the researchers, system developers, language technologists, language processing people, language teachers and learners, grammarians, lexicographers, translators, and others. The POS tagged corpus developed in this project may be patented as a resource of the Institute to be distributed as free corpora or may be commercialized against payment.

11. Importance of the proposed project in the Context of current status (max 200 words):

The project output has real life application relevance. I can identify many immediate users of the output of the project. The LT and NLP people will be using this resource for MT, data mining, information retrieval, machine learning, NER, and many other works; researchers will be using it for specific investigation on the language; grammarians will be using it for writing grammars, describing sentences, and analysis phrases;



lexicographers will be using it for compiling term databases, lexical databases, and dictionaries; language teachers will be using it for teaching POS of words to learners; education technology people will be using this for on-line Bangla teaching and reference works; linguists will be using it for describing the language and structure of words; government will be using it to provide linguistic services to the people as a part of e-governance. Finally, anyone interested in Bangla may be using the corpus when POS tagged words are necessary.

12. Review of the Expertise available with the group/institute in the subject of the project

In fact, LRU, ISI, Kolkata is nationally and internationally acknowledged for decades as one of the Indian centers specialized in corpus generation, processing, storage, and dissemination.

13. Work Plan

13.1 Methodology

It is estimated that a single Project Linked Person (PLP) can POS tag 50 sentences per day. In that case, it is possible to produce nearly (50 x 20 x 12 x 2 x 3 = 72,000) POS tagged sentences at the end of the project if 2 PLPs are engaged in the project. The output will be treated as a huge contribution of the Unit (and Institute) for the development of digital linguistic resources for Bangla. Given below the GUI that will be used for POS tagging of Bangla text corpus (Fig.1)

Fig. 1: The GUI for POS tagging of Bangla text corpus

Given below a table where an example of an untagged sentence and its counterpart in POS Tagged version is given to give an idea about the possible outcome of the project (Table 2).



Table 2: An example of untagged and POS tagged Bangle sentence 13.2 Organization of work element and time schedule of activities giving milestones No. Year Putting Sentence in Excel Tagging of Sentence Output Validation 01 I Year 25,000 25000 25000 02 II year 25,000 25,000 25,000 03 II Year 25,000 25,000 25,000

14. Utilization of Research Results

In essence, it will be a highly usable digital linguistic resource, which will be utilized in all kinds of research and development activities of computational linguistics, language technology, Natural Language Processing, Descriptive Linguistics, and Applied Linguistics for the Bangla language.

15. Budget Estimates: Summary

Items Heads 2018-2019 2019-2020 2020-2021 Total in Lakh Revenue I Year II Year III Year A. Salary of 3 PLPs (2 Linguists + 1 Technical Assistant) (30K X 3 X 12 = 1080K

10.80 10.80 10.80 32.40

Sub-total (A) 10.80 10.80 10.80 32.40 B. General 1.Contingency 0.50 0.50 0.50 1.50 2. TA/DA 0.50 0.50 0.50 1.50 3. Consumables 0.50 0.50 0.50 1.50 4. Others 0.50 0.50 0.50 1.50 Sub-total (B) 2.00 2.00 2.00 2.00



C. Capital - - - NIL 1. Equipment -- - - 2. Others - - - - Sub-total (C) - - - - Grand Total (A+B+C) 12.80 12.80 12.80 38.40

Two high-end computers are required for carrying out POS tagging work using POS tagging software. Two Project Linked Person will work for day-to-day POS tagging works on the available Bangla text corpus. However since the required PCs are available in LRU lab, we do not require any PC for this project.

16 References Asif Ekbal and S. Bandyopadhyay (2007) “Lexicon Development and POS tagging using a

Tagged Bengali News Corpus”, In Proc. of FLAIRS-2007, Florida, 261-263. Asif Ekbal and S. Bandyopadhyay (2008) “Part of Speech Tagging in Bengali Using Support

Vector Machine”, ICIT-08, IEEE International Conference on Information Technology, pp. 106-111.

Asif Ekbal et.al, “Bengali Part of Speech Tagging using Conditional Random Field”. Proceedings of the 7th International Symposium on Natural Language Processing (SNLP-2007), Pattaya, Thailand, 13-15 December 2007, pp.131-136

Asif Ekbal, Samiran Mandal and Sivaji Bandyopadhyay (2007) “POS Tagging Using HMM and Rule-based Chunking”, Workshop on shallow parsing in South Asian languages, shiva.iiit.ac.in/SPSAL2007/proceedings.php.

Asif, Ekbal, R. Haque and S. Bandyopadhyay (2008) “Named Entity Recognition in Bengali: A Conditional Random Field Approach”, In Proc. of 3rd IJCNLP, 51-55.

Debasri Chakrabarti (2011) “Layered Parts of Speech Tagging for Bangla”, Language in India. www.languageinindia.com, May 2011, Special Volume: Problems of Parsing in Indian Languages.

Delip Rao and David Yarowsky (2007) “Part of Speech Tagging and Shallow Parsing of Indian Languages”, Proceedings of the workshop on "Shallow Parsing in South Asian Languages" shiva.iiit.ac.in/SPSAL2007/final/iitmcsa.pdf.

Hammad Ali (2010) “An Unsupervised Parts-of-Speech Tagger for the Bangla language”, Department of Computer Science, University of British Columbia.

Pradipta Ranjan Ray, V. Harish, Sudeshna Sarkar and Anupam Basu (2012) “Part of Speech Tagging and Local Word Grouping Techniques for Natural Language Parsing in Hindi”, Department of Computer Science & Engineering, Indian Institute of Technology, Kharagpur. www.mla.iitkgp.ernet.in/papers/hindipostagging.pdf.

R.K. Pattabhi, T. Rao, Vijay Sundaram, R. Vijayakrishna and Sobha L (2007) “A Text Chunker and Hybrid POS Tagger for Indian Languages”, AU-KBC Research Centre, MIT Campus, Anna University, Chennai.

Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu (2007) "Automatic Part-of-Speech Tagging for Bengali: An Approach for Morphologically Rich Languages in a Poor Resource Scenario”, Proceedings of the Association for Computational Linguistic, pp 221-224.

17. Does the project require clearance from the Review Committee for the Protection of Research Risk to Humans? If yes, apply for the clearance through the prescribed form. If no, submit the waiver form forwarded by the P-in-C. No. This project does not require clearance from Ethics Committee



18. Quarterly Projection of Expenditure during year I:

1st Quarter 2nd Quarter 3rd Quarter 4th Quarter Salar

y Gen

Cap. Total Salary

Gen Cap. Total Salary

Gen Cap. Total Salary

gen Cap. Total

25% 25%

25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%

19. Projects are undertaken by the proposing scientist in the last 3 years (max 5): Project Title: Bengali Pronunciation Dictionary Status: Ongoing Duration: April 2015 – March 2018 Funding Agency: ISI, Kolkata Money Budgeted: 21 Lakhs Money Spent: (7 + 3 + 3 = 13 Lakhs) Capital Items purchased: NIL List of Publications Dash, Niladri Sekhar (2012) "Etymological Annotation: A New Concept of Corpus Annotation".

Proceedings of the 34th All India Conference of Linguists (34-AICL), Dept. of Linguistics, North Eastern Hill University (NEHU), November 1-3, 2012, Shillong, Meghalaya, India, Pp. 100-104.

Dash, Niladri Sekhar (2012) "Principles of Part-Of-Speech (POS) Tagging in Bangla Language Corpus". Proceedings of 2nd National Conference on Emerging Trends in Educational Informatics (ETEI-2011), NITTTR, Kolkata, Feb. 16-17, 2012, Pp. 46-52,

Dash, Niladri Sekhar (2012) “From KCIE to LDC-IL: some milestones in NLP journey in Indian multilingual panorama”. Indian Linguistics. Vol. 73. No. 1-4. Pp. 129-146.

Dash, Niladri Sekhar (2013) “Part-of-speech (POS) tagging in Bangla written text corpus”. International Journal on Linguistics and Language Technology. Vol. 1. No. 1. Pp. 53-96.

Dash, Niladri Sekhar (2015) "Marking Words with Part-of-Speech (POS) Tags within Text Boundary of a Corpus: the Problems, the Process, and the Outcomes". Translation Today. Vol. 9. No. 1. Pp. 5-24.

Dash, Niladri Sekhar (2015) “Syntactic, lexical, and semantic-cum-cultural barriers in English to Bangla translation”. International Journal of Translation. Vol. 27. No. 1&2. Pp. 49-73.

Dash, Niladri Sekhar (2016) "Culling Scientific and Technical Terms (STTs) from Text Corpora for Compiling TermBank in Bangla". An International Journal of Engineering Sciences Vol. 21. Pp. 107-122.

Dash, Niladri Sekhar (2016) "Multifunctionality of Hyphen in Bangla Text Corpus: Problems and Challenges in Text Normalization and POS Tagging". International Journal of Innovative Studies in Sociology and Humanities, Vol. 1. No. 1. Pp. 19-34.

Dash, Niladri Sekhar (2016) “Some Corpus Access Tools for Bangla Corpus". Indian Journal of Applied Linguistics. Vol. 42. No. 1 & 2. Pp. 7-31.

Dash, Niladri Sekhar and Arulmozi Selvaraj (2016) "Generating Parallel Translation Corpora in Indian Languages: Cultivating Bilingual Texts for Cross-Lingual Fertilization". Translation Today. Vol. 10. No. 1. Pp. 84-118.

Dash, Niladri Sekhar and Pronomita Basu (2012) “Developing scientific and technical terminology database from electronic language corpora”. Language Forum. Vol. 38. No. 1. Pp. 5-21.

Dash, Niladri Sekhar, Arulmozi Selvaraj and Mazhar Hussain (2016) "The Carriage of Indian Languages Corpora: And Miles to Go Before We Stop" Indian Journal of Applied Linguistics. Vol. 42. No. 1 & 2. Pp. 63-92.



PSU (General, New) Project No. 3.1

1. Project Title: Workshop on Techniques of Analysis of Demographic and Health Statistics and Application of Computer Software

2. Name of Proposing Scientists: Prasanta Pathak, Partha De and Subhas Burman 3. Name of Others Scientists associated with their affiliation: Nil 4. Date of Commencement: April, 2018 5. Project Summary:

There are various sources of demographic and health statistics. Two such well known sources and National Sample Survey and National Family Health Survey. Besides these, there are various primary and secondary sources. The users of these data are often not aware or partially aware about the techniques of analysing it. This workshop will give a scope to learn the techniques with computer applications. Both the researchers and the practitioners in the areas of Demography and Public Health are expected to benefit from this workshop.

6. Introduction with Background: Long experience of the Population Studies Unit in organising similar workshops in Kolkata and elsewhere gives an indication that the researchers/teachers in different universities and institutes and practitioners in the area of community medicine have high demand for such workshops. They are not fully aware of the sources and the scope of using the demographic and health statistics. The techniques of analysing such data are also not known or partially known. Computer applications for analyses of such data are also a grey area of knowledge for them. These justify the need for organising such workshop every year.

7. Description of the Problems: The areas where the targeted researchers and practitioners have very inadequate knowledge are techniques of fertility, mortality and survival analyses, epidemiological and bio-statistical methods and techniques of analysing demographic and public health statistics, uses of computer software like PAS, SPSS, and STATA and so on.

8. Objectives: (1) Refresh knowledge about various techniques of demography and public health statistics. (2) Update knowledge in terms of new and modern techniques of demography and public health statistics. (3) Acquaint participants about the common statistical software used in the analysis of demographic and health data. (4) Developing a network with various institutions/organizations who are contributing directly or indirectly to the public health, population control and other development programmes.

9. Study area: Selected researchers and practitioners, including teachers in the universities and the institutes, from all over India with prior knowledge in MS Excel will be invited to take part in the workshop.

10. Review and Status of Research and development in the Subject: a. International Status:

Such workshops are organised in advanced countries.



b. National Status: In India, short term training is organised by few institutions in Delhi and Mumbai. c. Novelty of the present Proposal : Proposed workshop emphasizes on the use of quantitative techniques for both demographic and health statistics. Additionally, it exposes the participants to the relevant computer applications.

11. Importance of the proposed project in the context of current status (Max. 200 words):

While large amount of demographic and health data are generated by governments and various institutions scientific analyses and utilisation of the same are much below expectation. The workshop will encourage the participants in greater scientific use of the available data. It will also help in clearing the concepts and the background assumptions.

12. Review of the expertise available with the group/ institute in the subject of the project Institute has the necessary expertise to organise the workshop; however, two/three resource persons may have to be invited to enrich further the sessions.

13. Work Plan : a. Methodology:

The course will focus on the quantitative techniques and the advanced tools that are applied in demographic and public health studies in the areas concerning fertility, mortality, epidemiology, programme evaluation, demographic and health surveys, etc. The course will emphasize on the use of the common computer software like MS Excel, SPSS and STATA in analysis of demographic and public health data. Appropriately formulated Feedback Forms will be used to assess the knowledge up gradation of the participants. b. Organization of Work Element and time schedule of activities giving

milestones After necessary publicity, the interested applicants will be screened and invited to participate in the workshop. They will be allowed to participate after doing registration and paying registration fees.

14. Utilization of research results Experience from the workshop will be used for improving the workshop standard in the future.


Sl. No.

Item Earning (Rs. in lakhs)

Expenditure (Rs. in lakhs)

1. Registration Fee (Local 20 persons @1500/- and Outstation 10 persons @2500/-)

0.5500

1. Train (AC 3-Tier, to & fro) for 10 out-station participants (@Rs.8,000) 0.8000 2. Board and lodging for 10 out-station participants for 4days (@Rs.400

per day per person) 0.1600

3. Lunch for 45 participants, resource persons and organizing staff for 3 0.2700



days (@Rs.200per day per person) 4. Tea and snacks for 45 persons for 3 days (@ Rs.30 per day per person) 0.0405 5. Honorarium for external resource persons (@Rs.1500/- per lecture) and

conveyance (@Rs. 1000/- , to and fro per day) for 4 lectures 0.0800

6. Reading materials for 40 persons (@Rs.200) 0.0800 7. Training kits including bags, pads, pens, etc. for 40 persons

(@Rs.1000/-) 0.4000

8. Preparatory activities including advertisement, communications, travels, preparation of materials, etc.

0.2500

9. Stationery, computer consumables, etc. 0.2000 10. Miscellaneous 0.3000 TOTAL 0.5500 2.5805 OVERALL EXPENDITURE 2.0305 Item wise Justification: 1) To meet partially the cost of conference kits, food and lodging for participants. 2) To encourage outstation participants. 3) to 4) self explanatory. 5) To pay honorarium to external resource persons and also pay for their local travel. 6) & 7) Required for taking part in the workshop. 8) Required for publicity, local travel and printing of publicity materials. 9) and 10) To acquire all required input materials and payment to external support staff. 16. References:

Not applicable. 17. Does the Project require clearance from the Review Committee for the protection of

research risk to humans? If yeas, apply for the clearance through the prescribed form. If no, submit the waiber form forwarded by the P-in-C. No.

18. Quarterly projection of the expenditure during Year I :

1st quarter 2nd quarter Salary Gen. Cap. Total Salary Gen. Cap. Total 30,000 30,000 30,000 30,000

3rd quarter 4th quarter Salary Gen. Cap. Total Salary Gen. Cap. Total 1,65,000 1,65,000 33,000

19. List of completed and / or ongoing project undertaken by the proposing scientists in the last five years

1. Name : Pathak, Prasanta [2012] (A) Project title: Estimation of Technical Manpower Requirement through Effective Means for Improving Quality of Training of Technicians (a project financed by the West Bengal State Council of Technical Education, Govt. of West Bengal).

a. Status: Completed b. Money budgeted:Rs.4 lakhs c. Money spent:Rs.3 lakhs d. List of publications: Project Report e. Capital item purchased: None

(B) Project title: Direct and Indirect Roles of Socio-economic, Demographic, Health and Programmatic Factors in the Growth of Population in Giridih, a District in Jharkhand

a. Status: Completed



b. Money budgeted:Rs.6 lakhs c. Money spent:Rs.6 lakhs d. List of publications: Project Report e. Capital item purchased: None

2. Name : Partha De [2014-16]

Project title: Developmental Challenges in Children and Associated Socioeconomic Factors: A Study in the Purulia District of West Bengal

a. Status: completed. b. Money budgeted: 9.15 c. Money spent: 8.10 d. List of publications:

De, Partha, Sahu, D., Pandey, A., Gulati, B.K., Chandhiok, N., Shukla, A.K., Mohan, P. and Mitra, R.G. (2016) Post Millennium Development Goals Prospect on Child Mortality in India: An Analysis Using Autoregressive Integrated Moving Averages (ARIMA) Model; Health, 8, 1845-1872. http://dx.doi.org/10.4236/health.2016.815176. De Partha (2016). Child Disability and Malnutrition in a backward district of India: A Cross Sectional Study. Proceedings of International Conference on Social and Political Issues (ICSPI), Faculty of Social and Political Sciences, Universitas Indonesia, 19-20 October, 2016, Bali, Indonesia. Sahu, D. Pandey, A. De, P. (2015) Levels, Trends and Projection of Under-five Mortality Rates and Prospects of Achievement of Millennium Development Goal Four in India. International Journal of Epidemiology; 44 (suppl_1): i207. doi: 10.1093/ije/dyv096.340.



PRU (General, New) Project No. 4.1

1. Project Title: Orientation training on Data Visualization 2. Name of Proposing Scientist: Debdulal Dutta Roy, Psychology Research Unit, ISI,

Kolkata. 3. Name of Other Scientist associated with their affiliation: Nil 4. Date of Commencement: April, 2018 5. Project summary: Data visualization Chen, Härdle, Unwin (2007) is a general term that

describes any effort to help people understand the significance of data by placing it in a visual context. It is important for Psycho-informatics (2010) in which researchers retrieve the data from data warehouse, clean and mine the data for patterning the data. Finally, pattern provides the knowledge to researcher about data behaviour. Besides data mining, data visualization is important for hypothesis driven research to explore data quality before application of suitable statistical tools. For mass communication, data visualization acts as good persuasive tool for its graphical representation of complex events. So it can be used in health surveillance system in Information education and communication. The training will impart knowledge about theory, statistical models, tools and application of data visualization in Psychology. Trainees can explore and gain further insight into their own data through the data visualization and design approaches.

6. Introduction with background: Psychological data sets increase in size and complexity. The data are both qualitative (text, image, sound and video) and quantitative. Data visualization helps explore the variability in data, identification of outliers or extraneous data, understand the explanatory variable and prediction of data behaviour. Data visualization is the communication through data. It is of two types – exploratory and explanatory. Several Univariate, bivariate and multivariate statistics are used in data visualization. It is the graphical distribution of data. Base graphics, grid, lattice and ggplot are common tools of data visualization. There are several data visualization tools. R is good software for data visualization but it is effective for good program writing. STATISTICA is powerful statistical software where in writing program is not necessary.

7. Description of the problem: The training will be imparted during summer and winter for the professionals, Institute faculties and research fellows. Venue will be selected as per availability of resource persons and accessories. It will be approximately five days workshop. Trainees will learn – a. Complexity of psychological data set. b. Uni, Bi and Multivariate data visualization statistical software. c. Applications of data visualization in health, education and Industrial solutions.

8. Objectives: The training will impart knowledge about theory, statistical models, tools and application of data visualization in Psychology. Trainees can explore and gain further insight into their own data through the data visualization and design approaches.

9. Study area: It will be National level workshop. Trainees will be requested to bring their data for application of software.

10. Review and status of research and development in the subject: 10.1. International status: Does not arise 10.2. National Status: National level workshop 10.3. Novelty of the present proposal: The concept of data visualization is innovative in

psychological research training.



11. Importance of the proposed project in the context of current status: Due to rapid change in information technology, computer science and statistical software, data visualization is the future of psychological research. Second, due to lack of knowledge it is not usually taught in the department of Psychology of different universities. Hope, this workshop will sensitize the community of psychology. Third, I conducted many programs on data visualization in the different states of India like Andhra Pradesh, Jharkhand, Chennai and West Bengal. Everywhere I received good response to learn the steps and application of data visualization software.

12. Review of expertise available of the group/Institute in the subject of the project:

IIT., Kharagpur, Indian School of Business, Hyderabad are doing work on it.

13. Work plan: 13.1. Methodology: One technical advisory committee will be formulated with

experts for processing the training program. 13.2. Organization of work element and Time schedule of activities giving mile

stones: It is one year program. It will commence on 1st, April, 2018 and end on 31st March, 1989.

14. Utilization of research results: One training manual will be prepared and book will be published based upon data analysis.

15. Budget summary

Capital

Sl Items Amount Justification 1.

Costs of appropriate software (STATISTICA) :

200000 It is useful for big data graphical representation and it is menu driven. It can

handle multidimensional data with better graphical accuracy.

Revenue

Sl Items Amount Justification

2 Air fare for 4 resource persons

80000 For course dissemination

3 Boarding and lodging for 10 outstation participants for 4 days @Rs.800

32000 As the course is new, attention will be paid to target persons through which

knowledge can be disseminated more. 4 Lunch for 40 participants

@Rs. 400 for 4 days 64000 Basic requirement

5 Tea & Snacks for 80 persons for 3 days @ Rs. 60

14400 Basic requirement

6 Honorarium for 10 invited persons @2000 per hour

20000 Contribution to manual

7 Reading materials for 40 persons @Rs. 500


8 Training kits (bag, writing pad, pen etc.) for 40 persons




& 800

9 Local transport for 5 days 40000 Basic requirement 10 Advertisement and

communication 5000 Basic requirement

11 Food and accommodation charges

25000 Basic requirement specially outstation program

12 Miscellaneous expenditure (Generator, photography, postal expenses, banner, flower, secretarial assistance, contingencies etc.)


13 Train (AC 3-tier) for 10 outstation participants


14 Total revenue expenditure 407400

15 Total (both capital and revenue)

607400

16. References:

1. Chen ,C. Härdle , W. K., Unwin, A. (2007).Handbook of data Visualization.

Taiwan:Springer publication. 2. Dutta Roy,D.(2010). Psychoinformatics: Innovation in mining randomized data.

PSYBER NEWS: International Psychology Research Publication,1,1,23-31.

17. Does the project require clearance from the Review committee for the protection of Research Risk to humans? : Does not arise

18. Quarterly projection of Expenditure during the budgeting year (2018-2019) :

1st Salary Gen. Cap. Total

407400 200000 607400

19. List of all completed and/or ongoing project undertaken by the proposing scientists in the last 5 years.

Title Status Money budgeted Money spent Publications

Safe school survey (2016-17) Ongoing 158000 154404 Orientation training program on Data analytics in Psychological

Research (2017) Completed 240000 194486

Winter school on Data Mining in Psychological Research (2016) Completed 294000 253000

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



SRU (General, New) Project No. 5.1

1. Project Title : A micro-level study of impact of life-style and socio-economy on adolescent overweight or obesity in Kolkata city, West Bengal.

2. Name of Proposing Scientists: Dr. Susmita Bharati, SRU 3. Name of Others Scientists associated with their affiliation: Professor Manoranjan Pal

(ERU), Professor Premananda Bharati (Retired, BAU, ISI), Dr. Suparna Shome (SRU), Dr. Sonali Chakraborty (SRU), Dr. Suman Chakraborty (Assistant Prof and Head, Mrinalini Dutta Mahavidyapith, Birati) and Prof. Anjali Ghosh (Retired, PRU, ISI).

4. Date of Commencement: April, 2018 5. Project Summary (Max. 200 words)

The problem of adolescent obesity in developed countries is common and the studies made on this problem are many. But in developing countries like India, especially in urban areas, it is an emerging problem though relevant studies regarding this problem are very few. From the literature survey, it is evident that obesity can affect mental health also and it is important to understand its complex nature of interactions. So the study of such interactions is urgently needed among adolescents since they are the future adults of the society. But there are only a few studies made on adolescent obesity in India. Hence, we have proposed to assess the prevalence of overweight and obesity of adolescent children in Kolkata and to formulate an appropriate model to address the problems of obesity and its causal link with life style, food habit, physical and mental health among the adolescent children.

6. Introduction with Background (Max. 300 words) The term overweight refers to excess body weight for a particular height whereas the term obesity is used to define excess body fat (National institute of Health, National Heart, Lung, and Blood Institute 2013). Overweight and obesity primarily happen either due to excess calorie intake or insufficient physical activity or both. Furthermore, various genetic, behavioural, and environmental factors play a role in pathogenesis. Obesity has now emerged as a major health issue in developing countries, especially in India due to urbanization, modernization, sedentary life style, consumption of oily and junk foods and other lifestyle changes which is presently facing a swift epidemiological changeover (Jain et al. 2012). It is reported that 2.2 billion adults were overweight in the world in 2013 (Ranjini et al., 2016). Today more and more children and adolescents are being diagnosed with Diabetes, hypertension and other co-morbid conditions which are associated with overweight or obesity (Brahmbhatt et al., 2012). Adolescence is a process to change to ‘to attain identity’ of one self and is essentially the period of rapid physical and psychological development starting from the onset of puberty to complete growth and development. World Health Organization (WHO) defines ‘adolescent’ as an individual between 10 to 19 years of age (WHO,2015). In 2009, there was an estimated 1.2 billion adolescents in the world, forming 18% of the global population. The vast majority of the world’s adolescents – 88 per cent – live in developing countries. The least developed countries are home to roughly 16 percent of all adolescents. Around 243 million of them live in India. According to Census 2011 that 20.9% of Indian population are in the adolescent stage. The rural and urban population constituted 22% and 19% adolescents respectively.

7. Description of the problem (Max. 300 words) Relationship between socio-economic status (SES) with obesity is obvious but it differs according to development status of the country. In a developed country, SES is not always



directly related with obesity, but in developing countries like India, it is directly related with obesity (Sobal and Stunkard, 1989). Among adolescents, there is an evidence to support a causal association between depression during childhood or adolescence and obesity. Overweight children believed that they hindered their interaction with peers due to their obesity and 69% of the sample believed that if they lost weight, they would have more friends (Pierce and Wardle, 1997). Very recently, another trend being observed, among Indian adolescents, is the skipping of breakfast. But breakfast skipping has an effect on obesity. And it has been observed that it is often underrated and skipped, especially among the adolescents. It is evident from many countries that skipping of breakfast is the sign to lose the body weight but the researcher says that skipping has been asserted with increased prevalence of obesity rather than weight lose (Woodruff et al., 2008; Wong et al., 1999; Burgman et al., 1998; Bellisle et al., 1995). Adolescents being more receptive to change and new ideas are easily imparted through exposure to media such as television, mobile phone, video-games, computer, internet and advertisements. The food choices, purchasing behavior and consumption pattern of the youth are influenced by advertisement particularly the ones that use local language and endorsement from local celebrities.

8. Objectives The main objectives of the study are --- (i) to assess the prevalence of overweight and obesity among adolescent children aged

10-18 years, (ii) to see the relationship of obesity with socio-economic variables, (iii) to see the association between overweight or obesity with the state of their physical

and mental health and (iv) to see how far various life style activities like sedentary habits, taking junk

food, skipping breakfast etc. are associated with adolescent obesity. 9. Study area: The study will be done in Kolkata district. 10. Review and status of research and development in the subject (Max. 500 words.)

10.1 International Status Obesity is a serious health condition in US because 32% of children aged 10-17 are overweight and 16% are obese (Singh, GK, 2010). According to the Korean National Health and Nutrition Examination Surveys, the prevalence of overweight and obesity among 10-19 years children between 1998 and 2001 have increased from 9 to 14% in boys and 9 to 10% in girl (Reports on Ministry of Health and Social Welfare, 1999 & 2002). Across countries, the relationship between socioeconomic status (SES) and obesity depends on the level of socioeconomic development and the stage of the nutrition transition (Case et al. 2002). In industrialized countries, obesity is inversely related with SES. This relationship has been documented throughout Western Europe (Centers for disease control and prevention, 2009, Chang et al. 2003) and in the United States (Cole et al., 2000). But a positive relationship between adolescent obesity and SES has been documented in Brazil (Filmer et al. 2001) , Colombia (Filozof et al., 2001) and Mexico (Finch, 2003; Finkolstein et al., 2007; Flegal et al., 2004).

Investigations have reported that adolescence with major depressions lead to increasing obesity in adulthood, especially among females (Pine et al. 2001; Richardson et al. 2003; Goodman and Whiteker, 2002). Weight teasing by peers and weight criticism by parents have the relationship between poor self-esteem and obesity in adolescents (Davidson and Birch, 2001).



Breakfast skipping is highly prevalent in many countries including USA and Europe (10-30%) and more common among adolescents (Rampersaud et al. 2005).

Dietz and Gortmaker (1985) was the first to publish the relationship between high Television (TV) watching with higher risk of obesity. According to Vereeckn et al. (2006), TV viewing time is often associated with higher intake of sweetened drinks and high energy dense food. Recently, a positive relation between electronic games and obesity has been found among Portuguese and Spanish children (Carvalhal et al. 2007; Vicente –Rodriguez et al. 2008).

10.2 National Status School surveys in Indian cities indicate that larger numbers of

adolescents from the affluent population are either overweight or obese (Kapil et al. 2002; Bhardwaj et al., 2008; Goyal et al., 2010; Misra et al., 2011). A recent study carried out on 13-17 years old adolescents reveals that the prevalence of overweight in private school was 27% – 6 times higher than the prevalence in government schools (Stigler et al., 2011).

Recently, a study investigated among 1818 school going adolescent children in Delhi and found that weight control was thought to be important among almost all the youth irrespective of their youth status and found that fasting, skipping meals and food restricting were among the common unhealthy weight control behavior, and mainly among girls (Stigler et al., 2011). Very recently, Bharati et al. 2017 have found the relationship of children’s (6-10 years) overweight and obesity with socio-economy and television watching in Kolkata. 10.3 Novelty of the present proposal: Sedentary habits and life style like taking of

junk food, breakfast skipping etc. are more prevalent in urban setting. Therefore the study is necessary to understand the overall prevalence of overweight and obesity among urban adolescent children in Kolkata as well as it will help to know about the level of socio-economic development through the pattern of relationship on obesity.

11. Importance of the proposed project in the context of current status (Max. 200 words) There are only a few studies made on adolescent obesity in India. So, the results may also be used in future health planning and research in order to combat the emerging adolescent obesity problem in India. Besides this, in our previous project during (2013-15), we tried to find out the relationship between childhood (6-10 year) overweight or obesity and impact of socio-economy, having of junk food and sedentary habits like TV watching etc. on it. The result shows that in Kolkata, 32.1% children are either overweight or obese and one of the reasons for such rate is the sedentary life style of the children and their food habits. Therefore, the present study is very much relevant as it gives the scenario of obesity at a crucial stage of life, i.e., adolescent and post adolescent period of life.

12. Review of the expertise available with the group/institute in the subject of the project ?

13. Work Plan 13.1 Methodology

Study Design This study is the continuation study of our previous project where our population consisted of (6-10) year old children in Kolkata. And here, our population will be from 10 to 18 year children. However, due to obvious difficulty of identifying the children who do not go to school, we shall restrict our study to only school-going children. Sample of schools will be taken from the list of all Higher secondary school (Class V- XII). This is a



micro level cross-sectional study using multistage stratified sampling procedure and the total study would be divided into two phases. All the students of selected schools will be included in the first phase of study. In the second phase, approximately 25-30% of the total children who were studied in the 1st phase, will be considered for detailed study. In the first stage of sampling, due to differentiation of socio-economic background, medium of school has been considered as one of the criteria. The reason is that the upper class or more economically affluent people try to admit their child or children in English medium school than in Bengali medium school. Our study will be restricted to two mediums namely (i) English medium and (ii) Bengali medium schools. Again with the idea of socio-economic differences of the children, type of school, i.e. Government, Government sponsored and private, will be considered as another layer for stratification. So, finally along with the medium and type, the schools will be categorized into six groups, namely ---- (i) Bengali medium & Government, (ii) Bengali medium & Government sponsored, (iii) Bengali medium & Private, (iv) English medium & Government, (v) English medium & private and (vi) English medium & Government sponsored. The date of birth of each child will be taken from the school records and it will be cross checked from their respective parents or guardian. From each selected school, to assess the health status, height, weight and mid-upper-arm circumference (MUAC) will be measured for all the students and the respective age and sex. Nutritional status will be assessed through Body Mass Index for age and gender (WHO, 2006) when [BMI (wt/ht2) - height is expressed in meter and weight is expressed in kilogram]. Overweight is defined as having a BMI between the 85th and 95th percentiles for age and gender. Obesity is defined as greater than 95th percentile for age and gender, undernutrition is defined as below 15th percentile for age and gender and thus normal is in between 15th and 85th percentile. The household socioeconomic data such as community, literacy status and occupation of parents will be collected from the students, and the same will be confirmed with school records and also their respective parents. To assess the economic status of the family, per-capita expenditure and asset data will be taken. In the 2nd phase of the study, for detailed survey, information on some activities on Psychological data which perceived mental health and behavioral data like physical activity level, sedentary habits like duration of TV watching, video game, computer and net surfing, mobile phone using etc. sleeping habits, about skipping of breakfast, food habits and having of amount of junk food items, vegetables and fruits etc. and prices of grains, vegetables and fruits will be collected through pre-tested structured questionnaires by recall method. Sampling procedure Sample of schools will be selected from each of the six groups like English medium& Government, English medium & semi Government, English medium & private, Bengali medium & Government, Bengali medium & semi Government and Bengali medium &private. From each group, at least two schools i.e. total 12 schools will be selected by SRSWOR. From each selected schools, height and weight and MUAC will be measured for all the students and the respective ages, sex along with the required socio-economic variables will be noted. Since from each of the six groups of schools, two schools will be selected and height and weight along with other anthropometric measures will be taken from all the students in the selected schools, we can expect the sample size in the first phase to be at least 4800



(400 students ˟ 12 schools). The age range would be (10-18) years. So in each age there would be 4800/9 = 533 students. Assuming that boys and girls are equally distributed, we get more than 200 students in each age-sex group. We have seen that the standard deviation (σ) of height is about 6 cm in each age for students in the age range 6-10 years. If we want to estimate mean height within 1 cm (d = allowable error) of the true average, then the formula for minimum sample size is n = [(z1-α/2) σ/d]2 = (1.96) * (1.96) * (6)*(6)/(1*1) = 138 Moreover, the standard deviation of height in the age range (10-18) years will be much less. Thus we expect the optimum sample size to be less than 100. We have taken sample size around 200. For the 2nd phase: All students of the selected schools will be divided into three groups according to health status namely overweight or obese, normal and underweight. Among them approximately 50 students will be selected randomly from each group i.e., 50 from overweight or obese, 50 from normal and 50 from under-weight from each school for the detailed survey. The same procedure will be followed for all selected schools. Statistical Analysis Descriptive analysis will be done for the health, nutrition, duration of involvement in different sedentary habits, socio-economic and psychological parameters. Contingency χ2 test will be used to understand association between health and nutritional parameters and socio-economic variables, different sedentary habits and also psychological parameters to identify the significant factors associated with overweight and obesity. Age will be adjusted as and when necessary. Logistic regression and other multivariate statistical analysis will also be carried to find out the most effective parameters on overweight or obesity 13.2 Organization of work element and time schedule of activities giving

milestones I Year -Preparation for requisite field work, data collection, analysis of data for interim report writing. II Year -Data collection, analysis and Final report writing. III Year – Nil.

14. Utilization of Research Results The result will be used in future health planning and research in order to combat the emerging adolescent obesity problem in India. Besides this, in our previous project during (2013-15), we tried to find out the relationship between childhood (of age 6-10 year) overweight or obesity and impact of socio-economy and TV watching on it. So the present study is very much relevant as it will give the scenario of obesity at another stage of life, i.e., adolescent and post adolescent period of life.




Item (Rs. in Lac) Total (Rs.) in Lacs I year II year III year

Revenue A. Salary B. (For 1 Project

Linked personnel)

Sub Total (A)

B. General

1. Contingency

2. TA/DA

3. Consumables (Field Guide)

4. Others (data analysis & report writing)

Sub-total (B)

Capital 1. Equipment

2. Others

Sub Total (C)

Grand Total

1.80 (15000 *12)

1.80

0.5

1.00

1.00

0.60

4.90

Nil

4.90

1.80 (15000 *12)

1.80

0.5

1.00

1.00

0.70

5.00

Nil

5.00

3.60 (15,000*24) 3.60 1.00 2.00 2.00 1.30 9.90 Nil 9..90

Justification of above Items.

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