An independent academy that builds bridges between science, business and politics

The Royal Swedish Academy of Engineering Sciences (IVA) is an independent academy with a mission “...to promote engineering and economic sciences and the advancement of business and industry for the benefit of society.” We bring together leading engineers, economists, researchers, entrepreneurs and leaders in business and the public sector, who contribute generously to IVA’s operations through their intellectual capital and their engagement.

A meeting place for Sweden's future

IVA believes in humanity’s capacity to contribute positively to society through the engineering and economic sciences. We run a number of projects and programmes, produce reports, knowledge bases and policy proposals, and organise open seminars and meetings nationwide. We also recognise and encourage the efforts of others by awarding distinctions and grants.

Planetary Vision

Around 900 million people worldwide live in extreme poverty, and efforts to break the cycle of poverty have been hindered by a lack of historical and geographical data. The AI and Global Development Lab tackles this challenge by using deep learning, earth-observation satellites, and knowledge of human development to produce high-resolution data on living conditions.

IVAs 100-lista 2023

Year:

2023

Category:

Deep tech, Society & welfare

University:

Chalmers University of Technology

Responsible Researcher:

Adel Daoud

Visit Project Website

We use our data to develop AI-powered tools that facilitate decision making by evaluating the impact of past policies on development outcomes and recommending future policies. Our approach generalizes to various domains, including disaster response, monitoring constructions, and agricultural production.

By combining insights from statistics, computer and social sciences, the Lab enables more trustworthy decisions based. We aim to build software for supporting rapid and intelligent decision-making, pursuing the Sustainable Development Goals. Thus, we invite interested collaborators to join us in this pursuit.

Research team

Adel Daoud, Senior Associate Professor at the Institute for Analytical Sociology (IAS), Linköping University, and Affiliated Associate Professor in Data Science and Artificial Intelligence for the Social Sciences at the Division of Data Science and Artificial Intelligence (DSAI), within the Department of Computer Science and Engineering, Chalmers University of Technology

Mohammad Kakooei, postdoctoral researcher at DSAI

Markus Pettersson, doctoral candidate at DSAI

Connor Jerzak, Assistant Professor at University of Texas at Austin as in the Department of Government.

Xiao-Li Meng, Professor at the Department of Statistics, Harvard University

James Bailie, doctoral candidate at the Department of Statistics, Harvard University

Felipe Jordan, Department of Economics and the Institute for Sustainable Development at Pontificia Universidad Católica de Chile

An independent academy that builds bridges between science, business and politics

A meeting place for Sweden's future

A vision for Sweden as a country of technology and innovation by 2035

Planetary Vision

IVAs 100-lista 2023

IVA’s 100 List 2023 - Technology in the service of humanity