Workshop: Get started with Iris.ai Science Assistant!
Hitting a roadblock in your research or thesis writing process? Do you struggle with the overwhelming volume of published scientific research?
Join the workshop and learn how to use Iris.ai – your science assistant, that semi-automates the discovery and literature review parts of your research process.
Why you should join?
Iris.ai has already read and memorised 80 million research papers – so you don’t have to! Iris helps you to get an overall landscape around your research challenge as well as a specific reading list covering the papers that you should actually spend time on reading.
As a result of attending the workshop and using the Iris.ai tools you’ll:
1. Save 90% of your time spent on mapping out existing scientific knowledge. Once a 2-4 week mapping process can now be be done in less than 2 days
2. Broaden your search beyond limiting keywords and get a full overview of all papers related to your research problem
3. Avoid endless results lists of research papers and built-in citation biases
4. Narrow down a long collection of research papers to a specific reading list that you should focus on
Who is it for?
The event is open and free for all University of Helsinki and HUS students, researchers and staff members. During the 2-hour workshop you will see a demo of how to get started with your Iris.ai Premium account and put the tools to the test. This is also a great opportunity to ask questions and receive invaluable support from Iris.ai team.
When and where?
Iris.ai and Helsinki University Library host free workshop sessions at each campus. See the schedule below:
On Thursday April 12, 2018
10:00-12:00 City Center Campus: Main Library Kaisa-talo, Kaisa-sali 7062
13:00-15:00 Meilahti Campus: Terkko Health Hub, Auditorium, 2nd floor
On Friday April 13, 2018
10:00-12:00 Viikki Campus: Infokeskus Korona, Sali 172 (Viikinkaari 11)
13:00-15:00 Kumpula Campus: Kumpula: Exactum, B121 (Gustaf Hällströmin katu 2 B)
You can also choose to join a session via live stream on Thursday April 12 at 10:00-12:00.
We’re Iris.ai, a company leveraging Machine Learning technology to understand scientific knowledge and develop the personalized Science Assistant of the future. Iris.ai tools allow you to map out the research landscape around any given research topic.