String Theory and the Modern Philosophy of Science

hessler sp23

Brought to you by Odyssey 

March 30, 2023 - May 4, 2023 (6 sessions)

Thursday, 6:30PM - 8:00PM ET

Hodson Hall


Course Description

String Theory has played a highly influential role in theoretical physics for nearly three decades and has changed the way many physicists see the fundamental structure of the universe. Currently, the theory is at the center of research into quantum gravity and into the long sought-after dream of a mathematical theory of the structure of matter and energy. The theory is, however, controversial and is at the center of a philosophical debate on the very nature of science itself, as the theory seems to be beyond our ability to empirically confirm its predictions. This class will introduce students to string theory and to the philosophical discussions and debates surrounding it that are changing the nature of modern physics. No previous knowledge of the theory or mathematics is necessary.


Johns Hopkins Tuition Remission & Refund Policies 

50%    Johns Hopkins alumni
80%    Full-time Johns Hopkins faculty or staff
50%    Spouse or domestic partner of full time Johns Hopkins faculty or staff
Johns Hopkins alumni, staff, faculty and their spouse or domestic partners are eligible for tuition remission for Odyssey lifelong learning courses. Select the correct ticket pricing during registration. If we cannot confirm your eligibility, you will be requested to pay the full registration price for the course.

The Johns Hopkins Alumni Association is committed to providing reasonable and appropriate accommodations to participants with disabilities. Participants who need accommodations must notify the Johns Hopkins Alumni Association at at least four weeks prior to the beginning of class.

If a course is canceled or closed, the registrant is notified immediately, and a full refund is processed automatically unless another course is requested. Registrants who wish to withdraw from an active course must complete the online Odyssey Refund Request Form. Attach any documentation to support your request (e.g., medical documentation, family crisis documentation, etc.).

100% refund- Prior to the start of the course.

50% refund- During the first week of the course.

No refunds will be given after the first week of each course unless in exceptional cases.

Please note, refunds apply only to the tuition portion of an Odyssey participant’s charges and are not applicable to any fees or gifts made to the Johns Hopkins Alumni Association. Registrants will be notified by email if a refund is approved  within (5) business days.

ABOUT John Hessler
Specialist in Computational Geogeography and Geographic Information Science at the Library of Congress; Instructor, Odyssey Program

John Hessler is the director and founder of the λ-LAB (Lambda-Lab), where their philosophy is to apply high-performance computing and geospatial analysis to some of the most difficult humanitarian and policy issues facing the world today.

At the λ-LAB they are developing new statistical and computational tools for modeling & visualizing the dynamics of far from equilibrium spatial processes, like the spread of pandemics and refugee flows, along with more traditional issues, like Congressional redistricting, the effect of differential privacy algorithms on population data, and the spatial patterns of racial inequality.

Recently, their theoretical work has centered on the modeling of refugee and population flows using the Cahn-Hilliard equation and phase field theory. They are currently studying the effect of population movements on the dynamics & the geospatial transmission pathways of the 2014-2016 Ebola virus outbreak in West Africa.

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 Event Date
Thursday, March 30, 2023
6:30pm EDT

Thursday, May 4, 2023
8:00pm EDT

Hodson Hall 210
Johns Hopkins University

Johns Hopkins University
Baltimore, MD 21210

1-800-JHU-JHU1 (548-5481)

50% discount. Alumni status will be confirmed.
80% discount. Employment status will be confirmed.
50% discount. Employment status will be confirmed.

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