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Past Talks

Dr. Liz Bowman

Dr. Elizabeth Bowman
U.S. Army Research Laboratory
Artificial Intelligence, Machine Learning and Information: Army Social Computing Research
Tuesday, December 5th
Haldeman 041 Kreindler Conference Room
4:00 PM

Dr. Fabio Pierazzi

Dr. Fabio Pierazzi
Royal Holloway University of London
Network Security Analytics for Detection of Advanced Cyberattacks
Tuesday, November 28th
Sudikoff Trust Lab (L045)
12:30 PM

V.S. Subrahmanian

V.S. Subrahmanian
Dartmouth Distinguished Professor in Cybersecurity, Technology, and Society
Bots, Socks, and Vandals
Tuesday, November 14th
Carson L01
5:00 PM 

Rand Beers

Rand Beers ('64)
Big Data, the Internet, and Social Media:  The Road to the November 2016 Election
Wednesday, November 8th
Haldeman 41 (Kreindler Conference Hall)
4:30 PM 

Fright Night Imge

Wanna See Something REALLY Scary?
ISTS Looks at the Dark Web on Halloween Night
Tuesday, October 31st
S
udikoff  045 Trust Lab (dungeon)
7:30 PM - RSVP
Space is Limited 

Sal Stolfo

Salvatore J. Stolfo 
Columbia University
A Brief History of Symbiote Defense
Tuesday, October 31st
Rockefeller 003
5:00 PM

Dan Wallach

STAR-Vote: A Secure, Transparent, Auditable and Reliable Voting System

Professor Dan Wallach
Rice University
Thursday April 27, 2017
Carson L01, 5:00 PM

Ben Miller Dragos

Pandora's Power Grid - What Can State Attacks Do and What Would be the Impact?

Ben Miller
Chief Threat Officer, Dragos, Inc.
Tuesday May 2, 2017
Kemeny 007, 4:30 PM
Brendan Nyhan

 

 

 

Factual Echo Chambers? Fact-checking and Fake News in Election 2016.

Professor Brendan Nyhan
Dartmouth College
Thursday May 4, 2017
Rocky 001, 5:00 PM

Dickie George

 

Espionage and Intelligence

Professor Dickie George
Johns Hopkins University
Thursday May 11, 2017
Rocky 001, 5:00 PM

Dan Wallach

A Nation Under Attack: Advanced Cyber-Attacks in Ukraine

Ukrainian Cybersecurity Researchers
Thursday April 6, 2017
Oopik Auditorium 5:30 PM

ISTS Information Pamphlet


2012BrochureCover

 

Institute for Security, Technology, and Society
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755 USA
info.ists@dartmouth.edu

After-the-fact Radiation dosimetry from Inanimate Objects (EPR)

Project Summary

In the event of a terrorist act or an accident releasing ionizing radiation, it is critical to rapidly and efficiently determine the radiation exposure experienced by individuals in the affected area. Recent research has found that long-lived radiation induced unpaired electrons occurs in biological materials; these electrons can be measured by a technique termed electron paramagnetic resonance (EPR). In hard and/or dry tissues, such as bone or teeth, these resonances have been shown to be able to provide accurate dosimetry at doses as low as 80 cGy using isolated teeth. It may thus be possible to use EPR under the conditions that are likely to be present in the event of a release of radiation. This approach has been usefully applied for people exposed at places such as Hiroshima and Chernobyl even years after the exposure. It now is being extended to make measurements with the teeth still in the mouth. In addition to those studies, there is another approach using EPR dosimetry that could provide excellent sensitivity and ease of measurement. This approach uses non-living material such as articles of clothing, and other materials likely to be in the immediate vicinity at the time that a radiation exposure would occur. A variety of such materials have long-lived radiation-induced signals that are proportionate to dose. In this project we will systematically evaluate these materials for their usefulness in determining the radiation dose in the event of a terrorist act or an accident.

  • Project Lead: Harold Swartz