COVIDA investigates Deep/Transfer Learning for Natural Language Processing (NLP) technologies with Federated Learning architectures for Self-Service Data Science in daily Mental Healthcare to enable medical practioners throughout the Dutch language area to safely and reliably reuse their daily clinical notes by nurses and doctors from patients’ EHRs to predict inpatient violence risks, depression, and much more.

Our proposed GEIGER will be an innovative solution with associated components and an Education Ecosystem addressing security, privacy and data protection risks of and for Small and Medium-sized Enterprises and Microenterprises (SMEs&MEs) in Europe. GEIGER will be developed in analogy of a GEIGER counter for detecting atomic radiation threatening human life. The GEIGER solution will be used for assessing, monitoring, and forecasting risks and reducing these risks by improving the SMEs’&MEs’ security with well-curated tools, and an education program targeting practitioners-in-practice as “Certified Security Defenders” bringing security expertise sustainably to SMEs&MEs using existing vocational education frameworks. GEIGER consist of a GEIGER Indicator that dynamically summarizes the current level of risk by evaluating measures undertaken for security defences among the participating SMEs&MEs. The GEIGER Indicator can be personalised by registering the enterprise’s profile and supports GDPR-compliant sharing and exchanging data about incidents. The GEIGER Toolbox allows stepwise do-it-yourself assessment and improvement of the SMEs’&MEs’ security, privacy, and data protection with lightweight controls and advice for improved protection at varied levels of sophistication. The included tools offer endpoint, server, and network protection and guide the SME&ME in a personalised manner in data hygiene, including access and security control, data privacy management, and backup practices. The GEIGER Education Ecosystem offers experimental-based training and cyber range-enabled challenges and will be integrated into curricula of diverse professions of non-ICT experts, offering direct impact on SMEs&MEs through target group-oriented education. The GEIGER solution will be demonstrated in three complementary use cases within three countries. GEIGER will achieve sustainable impact by raising awareness of more than one million SMEs&MEs within a period of 2.5 years after start.

• STRIMP: Implementatie van de STRIP Assistent ter verbetering van de STRIP medicatiebeoordeling (STRIMP). (2017).
• Description: Programmer for two years to integrate the STRIP Assistant within Dutch daily primary care.
• Financer(s): ZonMW/Goed Gebruik Geneesmiddelen – Stimulering Toepassing In de Praktijk (GGG – STIP Ronde 3)
• Remark: Complete grant total: 350K EUR

• Protecting Small and Medium-sized Enterprises digital technology through an innovative cyber- SECurity framework (SMESEC). (2017).
• Description: PhD position and SR time: Develop one overarching and personalized maturity model for incremental organizational capability improvement throughout all security domains.
• Financer(s): H2020-DS-2016-2017: Secure societies – Protecting freedom and security of Europe and its citizens
• Remark: EU project 740787; Complete grant total: 5.6M EUR

• B. (Bilge) Yigit Ozkan MSc

• Text Analytics for 21st Century Fisheries (SAF21). (2015).
• Description: PhD Project for Early Stage Researcher (ESR) 7 at Manchester Metropolitan University (MMU).
• Financer(s): MSCA-ITN-2014-ETN: Marie Sklodowska-Curie Innovative Training Networks (ITN-ETN)
• Remark: EU project 642080; grant total: 2.7M EUR

• OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly (OPERAM). (2015).
• Description: PhD Project and postdoc position in WP2: Software Tool for Optimising Medication.
• Financer(s): PHC 17-2014: Comparing the effectiveness of existing healthcare interventions in the elderly
• Remark: EU project 634238; grant total: 6.6M EUR

• OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly (OPERAM). (2015).
• Description: PhD Project and postdoc position in WP2: Software Tool for Optimising Medication.
• Financer(s): PHC 17-2014: Comparing the effectiveness of existing healthcare interventions in the elderly
• Remark: EU project 634238; grant total: 6.6M EUR