In the SIAGI project researchers from India, Bangladesh and Australia are working with NGOs and the private sector to examine the consequences of agricultural intensification.
The organisations partnering together to achieve the SIAGI objectives are:
The Australian National University (ANU) – Canberra, Australia
Within SIAGI, the ANU team are contributing to the integration and development of models to inform the management of land and water resources and design of agricultural intensification options that better support marginalised and/or vulnerable households
Bangladesh Agricultural University (BAU) – Mymensingh, Bangladesh
BAU team members, through the Faculty of Agricultural Economics and Rural Sociology, is providing agronomic and social research experience uniquely relevant to SIAGI project objectives
Centre for Development of Human Initiatives (CDHI) – Jalpaiguri, India
CDHI is a multidisciplinary NGO which provides support to rural communities in areas of watershed management, soil conservation, biodiversity, education and gender inclusion. CDHI is facilitating engagement between SIAGI researchers and local communities around Cooch Behar in West Bengal
The Commonwealth Scientific and Industrial Research Organisation (CSIRO) – Brisbane and Adelaide, Australia
The CSIRO, Australia’s premier science and technology research agency, is the lead agency on SIAGI project and is responsible for the project achieving its outcomes. CSIRO scientists are making valuable contributions to SIAGI research in areas as diverse as socio-economics, nutrition and health, value chains, agronomy and modelling
Edith Cowan University (ECU) – Perth, Australia
ECU researchers bring to SIAGI extensive experience in social justice and in water resources management and environmental modelling. They are contributing to the development of the integration framework and improved decision support tools.
Indian Institute of Technology (IIT) – Kharagpur, India
IIT Kharagpur researchers bring their extensive agricultural and engineering skills to develop SIAGI project integrated modelling activities, and to the determination of household typologies
Livelihoods and Natural Resource Management Institute (LNRMI) – Hyderabad, India
LNRMI has extensive experience in rural stakeholder participatory engagement, and in the development of household typologies. LNRMI researchers are contributing to the development of integrated modelling activities, the determination of household typologies, and to livelihoods, policy and institutional analyses
PRADAN – New Delhi, India
PRADAN is an Indian NGO with a focus on assisting extremely poor rural women to take charge of their lives and livelihoods through Self Help Groups and lead a dignified life. PRADAN brings to the SIAGI project extensive experience in socially inclusive rural development and provides direct linkages with other ACIAR-funded research projects
Shushilan – Khulna and Patuakhali, Bangladesh
Shushilan is a multidisciplinary NGO which provides support to rural communities in areas of sustainable environment and climate change adaptation, livelihood security, socio economic development, education and health and nutrition. Shushilan is facilitating engagement between SIAGI researchers and local communities in Southern Bangladesh
YES Bank – New Delhi, India
For the first two years YES Bank was SIAGI project’s private sector research collaborator: the Public and Social Policies Management (PSPM) division of the Bank undertakes research to develop effective policy instruments, sustainable knowledge-based projects and champions institutional innovation through public-private partnerships and collaborative community models. YES Bank brought critical policy and institutional knowledge and analytical skill to SIAGI project.
Wageningen University and Research, Netherlands
Wageningen University and Research (WUR), the Netherlands through their Departments of Plant Production Systems (PPS) and Operations Research and Logistics Group have contributed to the development of a ‘stakeholder-driven discussion support tool for suitable crop choices’ using the bio-economic modelling approach.