Talks & Lectures

TWed Lightning Talks (Spring 2023)

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!

Posted Apr 20, 2023

TWC Guest Speaker: Kim Becker on Designing and Testing a Coordinated Knowledge System to Improve Service Quality and Treatment Engagement for Youth and Families

TWC Guest Speaker: Prof. Kim Becker on Designing and Testing a Coordinated Knowledge System to Improve Service Quality and Treatment Engagement for Youth and Families

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).

Posted Apr 13, 2023

Dr. Jeff Hefflin on "Deep Learning for Data Management"

TWC Guest Speaker: Prof. Jeff Heflin (Lehigh Univ) on "Deep Learning for Data Management"

Posted Apr 05, 2023

TWed Talk: "Employing Ensemble Reasoning to Support Clinical Decision-Making"

TWed Talk: Sabbir Rashid on "Employing Ensemble Reasoning to Support Clinical Decision-Making" (21 Mar 2023)

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

Posted Mar 17, 2023

TWed Talk: "Bibliometrics: The limitations and possibilities"

TWed Talk: Brenda Thomson on "Bibliometrics: The limitations and possibilities" (28 Feb 2023)

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

Posted Feb 25, 2023

TWed Talk: "Working with Wikidata" (6p, 21 Feb 2023)

TWed Talk: Sola Shirai on "Working with Wikidata" (6p, 21 Feb 2023)

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

Posted Feb 17, 2023

TWed Talk: John Erickson on "Care and Feeding of the TW Portal"

TWed Talk: John Erickson on "Care and Feeding of the TW Portal" (17 Jan 2023)

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.

Posted Jan 20, 2023

Bruce F. Chorpita, Ph.D. (he/him) is Professor of Psychology and Professor of Psychiatry and Biobehavioral Sciences at the University of California, Los Angeles.

Tetherless World Invited Talk: Prof. Bruce F. Chorpita (UCLA) (18 Jan 2023, Winslow 1140)

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.

Posted Jan 19, 2023

TWed Talk (9 Nov 2022): Alexander Lutsevich on "Exploring (digital) tools for academic note-taking and writing"

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

Posted Nov 07, 2022

TWed Talk: "An Introduction to Rule-Learning Models for Link Prediction" (19 Oct 2022)

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.

Posted Oct 17, 2022

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