Opendata, web and dolomites

IATSO SIGNED

INDIVIDUAL ACTION THROUGH SOCIAL ORGANIZATIONS: THE CASE OF POVERTY

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "IATSO" data sheet

The following table provides information about the project.

Coordinator
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE 

Organization address
address: Houghton Street 1
city: LONDON
postcode: WC2A 2AE
website: www.lse.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙217˙313 €
 EC max contribution 1˙217˙313 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-AdG
 Funding Scheme ERC-ADG
 Starting year 2016
 Duration (year-month-day) from 2016-11-01   to  2021-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE UK (LONDON) coordinator 1˙013˙571.00
2    UNIVERSITY OF DURHAM UK (DURHAM) participant 110˙484.00
3    UNIVERSITY OF LEEDS UK (LEEDS) participant 50˙000.00
4    MIDDLESEX UNIVERSITY HIGHER EDUCATION CORPORATION UK (LONDON) participant 43˙258.00

Map

 Project objective

There is arguably a lack of research on organizations with social goals in management. For an extreme case, i.e., of poverty, Prahalad (2006) described compelling examples of innovative organizations in South Asia, which he suggested served the poor. However, very little is known about: 1) What factors ‘cause’ social organizations, for instance, in settings of extreme poverty, to grow and scale up ‘successfully,’ and how and why?, and 2) What organizational factors influence ‘social performance’ for target groups, and how and why, and under which conditions (where and when), and for whom? Building on insights from our earlier theoretical and empirical work on networks, leadership, and learning, as well as our extensive pilot studies in India, we will explore how and why social organizations grow and scale up, in relation to social outcomes for relevant target groups, using mixed methods (a qualitative phase followed by a quantitative phase, to first build and then test theory). We propose to study organizations in an extreme setting, where arguably, social problems are worst: of poverty in South Asia, and picked the education sector given its potential importance for enabling people to move out of poverty. We believe that a better understanding of how and why organizations scale up successfully to enable target groups in poverty to be more proactive is also relevant from a practical perspective. It is for instance at the heart of the new Sustainable Development Goals, and it is our hope to make a contribution into this direction.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "IATSO" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "IATSO" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

PROGRESS (2019)

The Enemy of the Good: Towards a Theory of Moral Progress

Read More  

PATRES-MDS (2019)

Pathogenesis and treatment of splicing factor mutant myelodysplastic syndromes

Read More  

SUBMODULAR (2019)

The Power of Randomness and Continuity in Submodular Optimization

Read More