Application form for Admission to Training Programme - IASRI

Application form for Admission to Training Programme on “Technology
Forecasting Methods with Applications in Agriculture”
(06 - 15 June, 2012)
1. Full Name (Capital Letters):
2. Designation:
3. Gender (Male/Female):
4. Date of Birth:
5. Present Employer’s Address:
6. Address for correspondence:
7. Telephone Number (O)/(R):
E-mail address/Fax No. :
8. Teaching/Research/ Professional experience and number of
publications:
9. Educational Qualifications:
10. Level of Knowledge of Statistics:
11. Total length of service:
12. Participation in Seminars, training programmes (details) during past
one year:
13. Basic Pay (Rs.):
Signature of the Applicant with date
It is certified that information furnished above is correct.
ANNOUNCEMENT
Dissemination cum Training Workshop
on
“Technology Forecasting Methods
with Applications in Agriculture”
Under
Sub-programme on
Technology Forecasting in the
NAIP Programme
Visioning, Policy Analysis and Gender (V-PAGe)
06 - 15 June, 2012
Name, Designation and Address of
Recommending Authority:
Signature:
(of recommending authority with date along with seal)
Please send your application in the above format to any one of the following:
(i) Director, IASRI, Library Avenue, New Delhi-110012; E-mail:
vkbhatia@iasri.res.in Tele: 011-25841479; Fax: 011-25841564;
GRAM:AGRIRESTA
(ii) Dr. Ramasubramanian V., Course Director & Senior Scientist
(Agricultural Statistics), Division of Biometrics & Statistical
Modelling, IASRI, Library Avenue, New Delhi – 110 012; email:
ram.vaidhyanathan@gmail.com
(iii) Mr. Amrender Kumar, Course Co-Director & Scientist
(Agricultural Statistics), Division of Forecasting and Econometrics
Techniques, IASRI, Library Avenue, New Delhi – 110 012; email:
akjha@iasri.res.in
Course Director: Dr. Ramasubramanian V.
Course Co-Director: Mr. Amrender Kumar
VENUE: IASRI, NEW DELHI
INDIAN AGRICULTURAL STATISTICS RESEARCH INSTITUTE
(I.C.A.R)
LIBRARY AVENUE, PUSA, NEW DELHI -110 012

BACKGROUND
Indian agriculture in future is likely to be much different from what it is
now. New upcoming technologies are expected to be different from
what these are now. Thus there is a constant need for forecasting and
assessment of future technological needs of agricultural sector to fill
the gaps in the present technological trends in order to have innovative
policies, technologies and opportunities for holistic and sustainable
development. It is therefore imperative to articulate technological needs
of different segments of agriculture and contemplate how developments
in science can help address these needs.
Technology Forecasting (TF), in general, applies to all purposeful and
systematic attempts for anticipating and understanding the potential
direction, rate, characteristics, and effects of feasible and/or desirable
characteristics of performance parameters of future technologies such
as machines, procedures or techniques. Thus TF is the qualitative as
well as quantitative prediction at stated level of confidence of these
technologies with a specific time frame and specified level of support
such as policy, capital, human resource and infrastructural needs. TF is
required for better planning and future preparedness, enlarging the
choice of opportunities, setting priorities and assessing impact. It may
also give strategic advantage and global competitiveness in R&D. The
most commonly used TF techniques range from intuitive methods (e.g.
Delphi, brainstorming, scenario building, cross impact analysis, etc.) to
statistical methods (e.g. trend extrapolation, substitution models,
growth models, etc.) to normative methods (e.g. morphological
analysis, relevance trees etc.) to monitoring methods (e.g. bibliometric/
scientometric/ patent analyses).
OBJECTIVES:
The proposed Dissemination cum Training Workshop aims at
1. Educating the participants about the various existing and advanced
techniques in the area of technology forecasting
2. Acquainting the participants with practical exposure and learning
on the potential methods that could be used to forecast
technologies in agriculture by considering some case studies
TRAINING WORKSHOP CONTENTS:
The training workshop has been structured to be covered in eight
working days with classroom lectures and demonstrations on
applications of technology forecasting methodologies. Training
material will be provided to all the participants. The topics to be
covered are:
1. Introduction to Technology Forecasting (TF) and assessment
methods
2. Brainstorming, Delphi, and other exploratory methods
3. Cross-impact analysis and its variants
4. Visioning and Strategic planning
5. Policy analysis and Impact assessment
6. Morphological analysis, Relevance trees and other normative
methods
7. Scientometrics, Patent analysis and other monitoring methods
8. Multi-Dimensional Scaling (MDS) and other multivariate methods
9. Analytic Hierarchy Process (AHP) and its improvements
10. Goal-Objective-Strategy tree approach for TF
11. Time series, substitution /diffusion models and other extrapolation
methods
12. Framework Forecasting and other conceptual forecasting methods
13. Systems Dynamics models
14. TF initiatives at IASRI
ELIGIBILITY
The candidate must possess Master’s degree in any discipline of
Agricultural Sciences or allied fields. They should be working in ICAR
Institutes/NRCs/State Agricultural Universities etc. preferably in a
position not below the rank of Assistant Professor/Scientist.
GENERAL INFORMATION
The participants will be paid to and fro travel fare for the journey by
train as per their entitlement for the class of travel restricted, however,
to the maximum of AC-II Tier fare only (excluding Rajdhani and
Shatabdi) or bus or any other means of transport in vogue as the case
may be, if the same is not borne by the sponsoring organizations.
Free boarding and lodging will be provided to participants during
the training workshop as per ICAR guidelines on Short Course.
The participants are advised not to bring family members with them.
The number of participants admitted to the programme will be 20. Last
date of receipt of applications has been extended to May 21, 2012.