See below for an opportunity that has been shared with us from Cornell Tech's Small Data Lab. Participation in this project will be compensated and the deadline is April 30th to sign up.

See below for details. 

Description

We would like to recruit CUNY students for the spring and summer to participate in the evaluation study of the Immersive Recommendation project at Cornell Tech. The project is focused on making recommendation systems intentional, through user-modeling input that allows the end user to amplify their aspirational-behaviors relative to historically-observed behavior. Currently we are very interested in podcast recommendation!

This evaluation study will need you to participate in a lab experiment at Cornell Tech and a field experiment. The lab experiment will involve using our news and podcast recommendation platform and providing qualitative feedback, and the field experiment will involve continuing to interact with the platform on your own time for a few days after the lab session. This will also be an excellent opportunity for interested students to engage with our Ph.D. students and gain exposure to the projects here at Cornell Tech.

Participating students will be compensated.

About Small Data Lab @ Cornell Tech

Please see more info about us here: http://smalldata.io

About Immersive Recommendation

Our daily lives are mediated by a myriad of digital services. As a result we continuously generating digital traces that can be used to chronicle, characterize, and influence our behaviors and preferences. Digital services from search to e-commerce and entertainment leverage these data to target advertising, personalize recommendations and adapt services.

In our research we explore a personalization approach in which individuals actively harness their own digital traces to reframe personalization. We focus in particular on algorithms, systems, and rich user interactions that make personalization immersive, through the use of diverse personal data sources, and intentional, through transparency and user-modeling input that allows the end user to amplify their aspirational-behaviors relative to historically-observed behavior.

Sign-up:  https://goo.gl/forms/y6QXhIInQw923gSL2

Deadline: April 30th