OPEN CALL to the COVID-19 Virtual library of STEP_UP
The international project STEP_UP: Stop Epidemic Growth Through Learning just launched a Virtual Library that aggregates more than 200 measures, implemented and documented in the context of the COVID-19 pandemic prevention and containment. Want to have your work represented in this Virtual Library? Do you know of measures or [...]
WISE CEO Valentina Tageo publishes GAVIUS Journal #1
Since June 2020, our CEO Valentina Tageo has been nominated as Lead Expert of the European Urban Innovative Action (UIA) GAVIUS - From reactive to proactive public administrations. Lead Experts are important mentoring figures helping in the development of European Urban projects through their expertise. At the same time, they [...]
MULTI-ACT Final Conference
The MULTI-ACT Model: The Path Forward for Participatory Governance in Health Research and Innovation The EU-funded MULTI-ACT project aimed to increase the impact of health research on people with brain diseases. It created and implemented a new model allowing for the effective cooperation of all relevant stakeholders in the medical process. [...]
WISE presents study results at EESC’s Diversity Group Conference
On March 12, 2020, Valentina Tageo (WISE CEO) and Carina Dantas (SHINE 2Europe CEO) were officially invited to attend the Diversity Group Conference of the European Economic and Social Committee (EESC): "Civil Society Organisations during and after COVID-19: what challenges and what future?" The event brought together key institutional players [...]
STEP_UP Project Approved!
On February 23, 2021, an Erasmus+ partnership including Wise Angle and long-time partner SHINE 2 Europe has been awarded with the European Project STEP_UP: Stop Epidemic Growth through learning. STEP_UP is meant to develop a training tool (including a roleplaying game, a policy manual and materials for a learning [...]
H2020 ALAMEDA project Kick-off
When considering brain disease research, technological advances have been proved particularly effective. Big Data Analytics and Machine Learning methods can provide clinically actionable information that can complement medical recommendations and foster better treatments. As such, ALAMEDA's objective is to research and prototype the next generation of personalized AI healthcare support systems [...]