PromotionsCafé

  Coffee cup Copyright: Martin Braun

The PromotionsCafé is an initiative executed by the Fachgruppe Informatik and the UnRAVeL research training group.

The goal surrounding the PromotionsCafé is to inform and discuss about themes and problematics, which trespass the normal limits of the academic sector, for instance career management, career opportunities, gender and much more.

All doctoral candidates are very welcome to participate in the PromotionsCafé.

 

What is the PromotionsCafé?

The PromotionsCafé is an initiative by UnRAVeL which seeks to provide a platform for doctoral candidates at the department. It was created in the context of the AlgoSyn graduate school and has recently been further expanded as an independent institution under the coordination of the UnRAVeL genderteam.

What are the Aims of the PromotionsCafé?

The PromotionsCafé is a platform for doctoral candidates to discuss matters beyond the everyday academic activities, such as career planning, job opportunities, as well as gender-related and other topics.

If you have any suggestions for topics to discuss, please write an email to Ms. Bolke-Hermanns.

Who can Participate?

All doctoral candidates at the department are invited to participate in the PromotionsCafé.

 

Upcoming PromotionsCafé: Creating German Data Science Pizzas in a Responsible Way

PromotionsCafé Creating German Data Science Pizzas in a Responsible Way Copyright: Wil van der Aalst

Data are collected about anything, at any time, and at any place. Organizations have data about the behavior of people, machines, robots, production systems, care processes, and organizations. The digital platforms controlled by a few technology firms (e.g., Microsoft, Amazon, Apple, Alphabet/Google, Facebook, Netflix, eBay, Uber, Salesforce, Alibaba, Baidu, and Airbnb) have radically changed the way we work, do business, socialize, learn, move, produce, etc. Moreover, upcoming technologies such as Robotic Process Automation (RPA) and Machine Learning (ML) provide cost-effective ways to replace human labor. Are we as researchers responsible for the negative side-effects of (data) science? What role should governments play? How to make data science more responsible and tackle issues related to fairness, accuracy, confidentiality, and transparency? How to make data science green?

Wednesday, February 17, 2021, 04:00pm - 5:30pm

online as Zoom-Videocall:

https://rwth.zoom.us/j/95142618721?pwd=OXFiZWViZ1J0bVgzUENjM1FNWEQ3Zz09

Meeting-ID: 951 4261 8721
Kenncode: 121683

All doctoral candidates are cordially invited to attend to this event!