Gender based violence (GBV) is a heinous crime that Pakistani society is facing. To deal with this menace, both the government and non-governmental organizations have taken steps at various levels to improve police service delivery, competence-building and awareness-raising on GBV, establish women’s shelters, establish women’s development and welfare units in district welfare departments, and open helplines. However, these initiatives are limited, scattered and lack coordination. Our research aims to understand how the introduction of ICT might improve both competence on GBV and the coordination of the mechanisms dealing with GBV. Using a qualitative approach, we conducted in-depth interviews of relevant actors involved in the process of dealing with GBV. Our research findings show that GBV is a deeply rooted and complex structural phenomenon that requires a well-planned, well-coordinated and politically driven strategy. While ICT has the potential to improve competence of stakeholder and processes of reporting, mitigating and preventing GBV, access to technology by rural women is limited. It is therefore important that technological innovations take account of contextual constraints and opportunities.

Diversification of organic farming systems is a key practice to address current challenges in crop and livestock production. It has the potential to increase the resilience to climate fluctuations and counteracts climate change to some extent by reducing emissions and increasing carbon storage. Diversified crop-livestock systems can also contribute to stop the dramatic loss of biodiversity. Organic farms are already more often mixed crop-livestock farms with more diverse crop rotations, including perennial leys, compared to conventional farms [1]. However, there is a need as well as potential for further increasing diversity on organic farms [2].

This paper investigates on the implementation Sustainable Development Goals (SDGs) in Iran. It generates a systems dynamics model for exploring possibilities for achieving four SDGs: SDG-1 (eradicating poverty), SDG-8 (economic growth and decent work), SDG-12 (sustainable production and consumption), and SDG-13 (climate action) in Iran. The model is used to generate four possible stories about the implementation of measures to achieve these SDGs in the future of the Iranian economy from 2020 to 2050: 1) the Scenario of Business as Usual continues current trends and projects them into the future, 2) the Scenario of Inclusive Growth is designed to simulate more income equality and faster economic growth, 3) the Scenario of a Steady State introduces measures to improve social, and environmental aspects while having zero economic growth, and 4) the Scenario of Well-being for People and Planet is designed to improve socio-economic and environmental aspects of the Iranian economy to achieve the four SDGs in Iran. The performance of the Iranian economy for progressing towards the SDGs is monitored through four SDG indexes which are measured based on the arithmetic mean of selected indicators for each SDG, and a Combined Index of SDGs which is measured based on the arithmetic mean of the four SDGs indexes. The results of the simulations of the SDGs model of Iran shows that the transformational scenarios (Steady State, and Well-being for People and Planet) provide better pathways in comparison to conventional scenarios (Business as Usual and Inclusive Growth) for achieving the SDGs. Moreover, this study find that transformational policy changes and extraordinary efforts are required for progress in achieving SDGs in Iran.