Base Styles/Icons/lock/open Created with Sketch.

#WayOutThere on Facebook Live

Join us Wednesdays in January for our interview series on distant galaxies, the beginnings of the universe and new space
Our new Facebook Live Series, Way Out There, kicks off on 9 January

Stayed tuned to Aalto’s Facebook feed this month: we’re bringing you some of the most compelling research touching the place we call outer space. From unexpected radio emissions to space junk and beyond, our #WayOutThere series will have you thinking not only about where everything began, but also where we are going.

The Facebook Live series, hosted by Kate Jurva from Aalto Communications, will stream Wednesdays in January at 17.00 Helsinki/15.00 London/10.00 New York. Follow @AaltoUniversity to join us!

9 January – Galaxies long considered silent are sending out radio waves: What’s up?
A conversation with Professor Anne Lähteenmäki, live from Metsähovi Radio Observatory

16 January – How a type of helium might tell us how everything we know got its start
A live discussion with Professor Emeritus Grigori Volovik and Senior Scientist Vladimir Eltsov

23 January – Why we need to clean up space junk
One-on-one with Assistant Professor Jaan Praks

30 January – Black holes might be nicer than we think
A live chat with Tuomas Savolainen

Got questions? Leave us a comment during the streams and we’ll try our best to answer what you throw at us!

Related news

Nanomaji water filters in East Africa
Research & Art Published:

Many Shades of Cocreation: Research Designs for Collaboration

When academics and practitioners work together on research, there’s no standard template to follow. Aalto researchers provide a model.
Michael Hummel, kuva: Jaakko Kahilaniemi
Research & Art Published:

Michael Hummel: Sustainable and renewable materials will replace oil-based products

Researchers need to be team players, says Professor of Biopolymer Chemistry and Engineering.
Mikhail Kuklin (Data Advisor)
Research & Art Published:
Juho Piironen_photo by Matti Ahlgren
Research & Art, Studies Published:

How to tackle scarce data and high dimensionality in machine learning? Juho Piironen brings novel techniques to predictive modeling

Doctoral candidate, MSc Juho Piironen, studied Bayesian statistical inference in supervised learning problems and proposed novel techniques to account for uncertainty and computational cost in predictive model construction and feature selection.
  • Published:
  • Updated:
Share
URL copied!