
Beyond its impact on the healthcare system, the COVID-19 pandemic via economic shocks has already reached labor markets throughout every economy. As of 1 April 2020, ILO estimates indicate a substantial rise in global unemployment, leading to 6.7% decline in working hours in the second quarter of 2020, which is equivalent to 195 million full-time workers.

The topic of circular labor migration has recently received increased attention within the objective of reducing unemployment in Georgia. Circular migration Schemes (CMS) are widely recognized policy tools for reducing illegal migration and facilitating the return of migrants to their countries of origin. The Georgian government’s increased interest and efforts to develop circular migration deals with EU member states serve, on the one hand, the long-term objective of addressing the high levels of unemployment, and, on the other hand, to reduce illegal, and stimulate legal, migration.

On December 5, the Effective Data Visualization workshop – which was hosted by ISET in collaboration with ForSet and DarkHorse Analytics of Canada – officially came to a close when an award ceremony was held for those participants whose academic performance, significant achievements in data-related economics subjects and outstanding motivation to build future careers in the data-driven economy were of the highest. The winning team received a prize worth 1000 lari.

On June 12, ISET hosted Kinan Bahnassi of the International Labor Organization, one of several UN-affiliated bodies active in Georgia. Mr. Bahnassi treated the audience of students, staff, and faculty to an interesting, perceptive, and rather a creative presentation.

ISET Policy Institute implemented the project Shadow Analysis for Georgia in partnership with Ernst & Young Poland. Under the framework of the project, the ISET -PI team performed the following activities: