1. Main idea: To design a cost-efficient transportation network for meeting end-consumers with products that are processed/produced/grown by micro farmers
2. Main field of scientific contribution: Hub location problem under uncertainty -which is a tough optimization problem
3. Promised benefits of the project: Cost-efficient business model; economical and environmental sustainability; social impact; compliance with EU policies
4. Topics that the project touches: Topic 1; Topic 4 (Major Challenge 4 and 5)
5. Turkey side includes: Partners from both academy and real-sector
6. Project coordinator: Pallas Software & Consulting Inc, Turkey
7. What we seek for?: Forecasting/estimation of required parameters with cutting-edge machine learning tools (eg neural network, classification/clustering algorithms, etc); shaping uncertain parameters

Please note that other contributions are discussable

1. Pallas Software & Consulting Inc carries “Perfection Seal” by the Scientific and Technological Council of Turkey, so-called TUBITAK (TUBITAK is a governmental research institution)
2. Pallas got pre-seed investment from TUBITAK (TUBITAK has officially invested on solely 153 companies among all sectors throughout Turkey)
3. Astonishing background in optimization under uncertainty
4. Academic papers, research and industrial projects directly related to the research field (optimization under uncertainty & large-scale optimization)
5. Excellent experience in startup ecosystem (in Canada and Turkey)
6. Dr Akincilar (CEO and founder of Pallas) has post-doc degree from University of Waterloo (Canada) in optimization under uncertainty
7. Dr Akincilar has also a tenure-track position in a state university in Turkey