Awarded grants Hestia – Impulse for Refugees in Science

Round 2

A total of 21 admissible research proposals were submitted. Nine of these have now been awarded funding. Seven of the ten refugees appointed are men and two are women. Five of the project leaders/main applicants are women and four men. A total budget of just over 1 million euros was available for the pilot. A third and final round of the ‘Hestia – Impulse for Refugees in Science’ pilot programme will be launched in the spring of 2020.

The role of self-efficacy in predicting treatment outcome of childhood specific phobias: A clinical experimental study

Applicant: Dr A.M. Klein
Institution: Leiden university  
Candidate: name applicant anonymised

Summary: Anxiety disorders are common in childhood. Unfortunately, around 40% of children still suffer anxiety problems following treatment. Children’s self-confidence to deal with their anxiety, also referred to as self-efficacy, seems important in treatment success. This project investigates if increasing children’s’ self-efficacy can improve treatment for childhood anxiety disorders.

Secondary Liability for International Crimes – Case Study of Syria

Applicant: Prof. dr. mr. G.K. Sluiter
Institution: Amsterdam University
Candidate: Ahmad A Zien

Summary: The Project explores the assistance to the commission of mass atrocities in the Syrian conflict and the potential of the law to hold those responsible to account. On the basis of the Syrian case study, recommendations for improving the accountability regime will be formulated.

“Shabab Akwa” – “stronger youth”. Empowerment “PLUS” – empowerment of self-management and care seeking behaviour for refugee childrens’ stress-related health problems

Applicant: Prof. dr M.E.T.C. van den Muijsenbergh
Institution: Radboud UMC
Candidate: Ghadeer Haj Bakri MD

Summary: Refugee children suffer from health problems related to stress. Often their parents do not know what to do about these. Dutch healthcare does not meet their needs sufficiently. In this project a refugee-pediatrician studies these and what help would be best. Together with their parents she develops health promotion materials.

The VEGFA-suppressed immune microenvironment and radiotherapy-sensitivity in esophageal adenocarcinomas.

Applicant: Dr S.D. Derks
Institution: Amsterdam UMC
Candidate: Tesfay Mehari Godefa MSc
Summary: Esophageal

Adenocarcinoma is a deadly disease, which is at least partly the results of therapy resistance in early stage disease. In this project we further explore the immunosuppressive properties of a frequent amplified gene, VEGFA, and use this to develop more effective immunotherapy.

Identifying malware families of IoT botnets by machine learning using their network behaviour

Applicant: Dr. ing. C. Hernandez Ganan
Institution: Technical University Delft

Candidate: name applicant anonymised
Summary: The Internet of Things (IoT) devices (cameras, routers, wearable and other embedded technologies) are quite attractive playgrounds for cyber attackers nowadays. This research will provide a machine learning methodology for identifying malware families of IoT botnets that will help to design effective countermeasures for detecting, preventing and mitigating them.

The impact of parental genes on offspring health: nurture via nature

Applicant: Prof. dr D.I. Boomsma
Institution: VU
Candidate: Hekmat Alrouh MD

Summary: Children from low socioeconomic families are at higher risk of poor health. This could be due to growing up in poverty, to transmitted genetic liability, or both. This study uses a new “genetic nurture” design to explore how parents influence children’s health via genes and the environment.

From short-term engagement to long-term integration of refugees

Applicant: Prof. dr H. Ghorashi
Institution: VU Amsterdam
Candidate: Younes Younes

Summary:  This project contributes to the growing demand of knowledge and solutions of the long-term integration of refugees. The most innovative part of this project is investigating the contributions of neighbourhood- and community initiatives (like Hoost in Amsterdam-East in 2016) in the integration of refugee participants in the Dutch labor market.

Structuring Reproducibility in Deep Learning Research

Applicant: Dr. J.C. van Gemert
Institution: Technical university Delft
Candidate: Burak Yildiz MSc

Summary: Current Artificial Intelligence research is powered by deep learning. This Hestia proposal makes results of a current deep learning research project easier to reproduce, while developing a reproducibility workflow which is explicitly communicated to academics and industry. The candidate will become a practical deep learning expert with a promising future career.

Diagnostics for diseases in Indonesian poultry production to support antimicrobial stewardship interventions

Applicant: Prof. dr J.A. Wagenaar
Institution: Utrecht University
Candidate: Tagrid Dinar

Summary: When antibiotics are used, bacteria become resistant and diseases untreatable which is considered a global threat. As bacteria transfer from animals to humans we should aim for restricted use of antibiotics in animals and humans. This project helps Indonesian farmers to keep their animals healthy by prevention instead using antibiotics.