
Nuclear Policy Working Group (NPWG) Expert Panel:
April 7, 2015
Below are notes I took from talk through Nuclear Policy Working Group (NPWG) programming. The expert panel spoke about their expertise in nuclear nonproliferation efforts in the United States.
Panel Members:

Frank Pabian – LANL, satellite imagery, Nuclear Chief Inspector in Iraq for IAEA (1996-1998)
James Kornell – research engineer at National Security Technology’s Special Technologies Lab, computer ontologies, artificial intel, cognitive psychology.
Bryan Lee – director of Nonproliferation Studies, Army, Eurasian affairs
Maynard Holliday – assistant to undersecretary of Defense for AT&L (Pentagon), national security and acquisition policy, robotics, LLNL and Sandia Manager, start up robotics companies
Information available thru Internet:
- passive collection vs active collection
- crowd source
- social media and other sources
Used tools (Sandia) – language indicators in programs
- track shipments of nuclear materials
“layman” is the new possible expert, especially with open source info and data
easy to hide nuclear material (just some water!)
“red balloon hunt” – ex. of open source finding
“Boston bombing” – people find terrorists, but found wrong people
programming languages – free now
How much trust can you put into public as gatherers of info?
- a lot
- but data may not be judged by public for what it may be
- medical indicators:
- tweeting sickness – find secret chemical lab?
- google earth – labeling sites
- tweeting sickness – find secret chemical lab?
- volume of pics taken is a lot! people take pics of “interesting” things – nuclear stuff may not be recognizable to general public
Social, Ethical considerations for using public data?
- we are at beginning of how internet is impacting society
- noncitizen info (ex. satellite data from all the time)
- anonymous – nobody can be blamed in acquiring data/info.
- anonymous – nobody can be blamed in acquiring data/info.
- NTI website on societal verification
- other countries make it hard (treaties) to gather data from them
- other countries make it hard (treaties) to gather data from them
Lesser known sources for data nonproliferation:
- wiki mapping, labeling for google earth
- ecosec – meta search engine for social media site with map – look at “deadzone” at nuclear center for example
- open-source software
- google earth thermal data at nuclear sites
- foreign social media sites (most nuclear-related stuff is there, not in US)
New approaches to analyzing that data?
- comp. sci, stats, mathematics, etc.
- “deep learning” linguistics – computational linguistics with grammar and jargon
Can nuclear info/data destabilize countries?
- yes. it can be damaging
Can open-source play a role in Iran?
- if they’re hiding something, open-source may be able to find something.
Does open source/crowd source require luck? or more systematic?
- lots of sensing in phones – most of the time spent to clean up data rather than analysis.
- not luck , but how do we separate what’s relevant from irrelevant?
- not luck , but how do we separate what’s relevant from irrelevant?
- tips help
How do deal with disinformation?
- false positives are generated, but typically people will reveal it is false (open-source)
- not worried false positives will lead to major issues.
How separate signal from noise as analyst?
- where does it come from? source? what is info? expert opinion? (Journalistic analysis before publish)
- outside US may be different – harder to analyze
- people are smart – “they can create noise to mask signal”
Develop open-source techniques for examining advanced fuel cycle facilities?
- google earth already looks – for example
- can you put that in public?
- can’t tell what will happen since techniques develop over time
If US government takes up crowd-sourcing, how much will be given back to public? nonproprietary or classified?
- things are already intrinsically open source
- harder to “close the door” than “leave it open”
- inside classified community – debates happen on what should be unclassified
Can you use similar techniques like epidemiologists or missing person searches?
- can use negative “lessons learned” info.
- yes
Is crowd sources ok with a bunch of laymen or is it better for trained experts to go through data?
- both is good.
- teams (global, diverse) can search
How add new open sources as they develop? How set up gates for verifiability?
Privacy Concerns?
- acknowledge what issues are – address in public sphere
- colossal conundrum – need to craft policies to address privacy. there are still issues
How instigate open-source use by public in places?
- ex-pats off mainland who report
- issue with countries with one to two lines out to world internet
- want to make it easy as possible for people to participate
How can public intentionally get involved?
- follow people who do nuclear nonproliferation things online
- twitter – nonproliferation – post it . share it.
Challenges to using open-source
- what to look for? can be unclear what to look for in data
- ethical, legal, societal implications of open-source are unknown. (not necessarily technical issues)
- Detector enable law enforcement (DELI) – NYC police officers have radiation detection equipment
- Can you extrapolate DELI for citizens?
- apps to look for gamma signatures, for example
- citizens as sensors
How does their work contribute to open-source verification?
- Frank – textbook chapter, diversity of sources (satellite data)
- Maynard – next generation technology for potential threats (apps and things to empower citizens around the world – passively contribute data)
- Bryan – Jeffery Lewis military work/input, CNS host world only free and open trafficking database (radiological sources), text mining project – create better algorithm detection, Alibaba world market (Ebay) trading illegal or should be regulated items – trying to track that.
- James – detect chemicals, small sensing, build app to find important information (open source, published)