Social activity
The Faculty of Data and Decision Sciences attaches great importance to encouraging the involvement and social contribution of the faculty and all of its students and works to deepen their socio-technological commitment, as agents of change, opinion leaders and future leadership.
In close cooperation with the social hub of the Technion, we are working to expand research in relevant fields, offer courses enriched in social action, and in addition hold annual extra-curricular activities. These are designed to generate social and ethical awareness in students, with the understanding that their professional occupation in the future will require access to data that expresses social issues (e.g. social media, health data and more).
Social action in research
The research work of the Faculty of Data and Decision Sciences combines a significant social contribution with doctoral students and researchers who lead innovative projects that influence Israeli and global society; for example, Shir Lissak’s research on mental health and Atar Herziger’s research on environmental behavior.
Courses that incorporate social action
Courses that incorporate social action enable students to contribute to the community while learning meaningfully for a degree. As part of the final project course for the degree in Information System Engineering in the Faculty of Data and Decision Sciences, led by Dr. Hanan Kohen and Dr. Niva Wengrowicz, the students presented an impressive combination of technological innovation and social commitment. The closing conference included a display of diverse projects, the aim of which is to combine advanced technological solutions with a response to social and community challenges.
Social action in extracurricular activities
Every year, the Faculty of Data and Decision Sciences holds a Datathon for Good – an artificial intelligence (AI) development competition focused on big data and its analysis – three busy, sleepless days.
The goal of the datathon is to introduce the students to the real world, with real data and social challenges. This is their first experience in significant work with data, both in the technological aspects and in ethical issues related to the use of artificial intelligence. The students come to the datathon from different academic years and from different tracks in the faculty. Each team sets up a kind of virtual startup company which it presents to the judges on the last day.