Talks & Lectures
TWed Lightning Talks (Spring 2023)
When: Tues, 25 Apr (6p)
In-person: Winslow 1140
Webex: https://rensselaer.webex.com/meet/erickj4
Pizza, pie, etc.: Starting at 5:30p
Who: THIS IS AN "ALL HANDS" for TWC grad students; this means ALL students of Hendler/McGuinness/Seneviratne!
Abstract: Low treatment engagement is a ubiquitous challenge in youth mental health services, such that many youths discontinue treatment after only 1-2 appointments (Saloner et al., 2014).
TITLE: "Employing Ensemble Reasoning to Support Clinical Decision-Making"
LEADER: Sabbir Rashid (TWC)
DATE: TUES, 21 Mar, 6p (pizza, salad and pies!! at 5:30p)
LOCATION: Winslow 1140
Webex: https://rensselaer.webex.com/meet/erickj4
TWed VIDEOS: http://bit.ly/twed_twc_rpi
TITLE: "Bibliometrics: The limitations and possibilities"
LEADER: Brenda Thomson (TWC)
DATE: TUES, 28 Feb, 6p (pizza, salad and pies!! at 5:30p)
LOCATION: Winslow 1140
Webex: https://rensselaer.webex.com/meet/erickj4
TWed VIDEOS: http://bit.ly/twed_twc_rpi
TITLE: "Working with Wikidata"
LEADER: Sola Shirai (TWC)
DATE: TUES, 21 Feb, 6p (pizza & salad at 5:30p)
LOCATION: Winslow 1140
Webex: https://rensselaer.webex.com/meet/erickj4
TWed VIDEOS: http://bit.ly/twed_twc_rpi
DESCRIPTION: The TW Portal <http://tw.rpi.edu> is the Tetherless World's public face. Now in its second generation, this Drupal-based service provides a rich set of resources about ongoing TWC research, publications, courses, students and staff. It also features integrated media such as announcements, news items and videos.
Prof. Bruce F. Chorpita, Professor of Psychology and Professor of Psychiatry and Biobehavioral Sciences at UCLA will provide an overview of historical models for addressing mental health challenges in clinical science, articulating how they evolved, and outlining some of the current limitations and opportunities.
TITLE: "Exploring (digital) tools for academic note-taking and writing"
LEADER: Alexander (Sasha) Lutsevich
DATE: Weds, 09 Nov, 6p
LOCATION: Winslow 1140
Webex: https://rensselaer.webex.com/meet/erickj4
TWed VIDEOS: http://bit.ly/twed_twc_rpi
KEYWORDS: Writing, digital tools, workflows
DESCRIPTION: Link prediction methods can be a valuable tool to identify new or missing facts in a knowledge graph, and in research involving the use of KGs it also can serve as a baseline method to perform tasks like item recommendation or disease diagnosis. Among the many models that can perform this task, rule-based models can be particularly useful, as they provide an inherent level of explainability and can more easily be applied to previously-unseen entities.