And, here's the certificate! Nice and pixely.
|Nat Poor, Best Paper Reviewer!|
Had a great and busy time at ICA 2016: one paper, one panel presentation, moderated a session, and won an award! (Google is being impossible with photos and tables as usual. So much for interfaces.)
I was lucky enough to be invited to speak on the new Computational Methods panel, for the CM interest group. I tried to give the crowd an exhortation to engaging with such methods, because we as social scientists have a lot to offer computational analyses. You can see the slides in SlideShare, but I don't spell it all out in the slides when I present. My presentation got a nice tweet too!
|Presenting on the Computational Methods panel.|
|As part of the Games Division pre-conference in Tokyo at Nihon University (I love the neighborhood there, the Ekoda stop on the Seibu-Ikebukuro line), we all went to Akihabara, and of course we saw and did cool things, like engage in deep discourse with Mario, the working-class Italian-Japanese plumber.
|"You don't think quantitative and qualitative methods|
are complementary? Explain!"
|I also was lucky enough to run into Sanrio's Gudetama in Hong Kong and then again in Japan.|
|I also won the very first "Best Reviewer Award" for the ICA Games Division, which is a great honor and we need more motivations like this, as reviews are an important part of the quality of the discipline.
Had a great time teaching a class and also an impromptu session on Gephi at the City University of Hong Kong's Summer School in Social Science Research! It's in the Department of Media and Communication, and run by my friend Dr. Marko Skoric. The main instructor was Dr. Wouter van Atteveldt, who is awesome and has great hats as you can see.
I also was fortunate enough to attend CityU's Workshop on Computational Approaches to Big Data in the Social Sciences and Humanities, which was great and had lots of great speakers.
|Me, showing some great students a few things about Gephi.|
|The three of us in front of the department sign.|
Recently, I have encountered three examples of how giant data gathering companies have completely failed to use that data in any sensible way. The companies are Facebook, Amazon, and Pandora.
All I want is a decent spreadsheet app that does not insist on mangling my CSV files, which often have ID numbers in them which I might want to be viewed as text and not numbers. Apple's Numbers is maddening (you have to export to CSV, extra steps, and it has a relatively low row limit, 65,535 I believe) and Microsoft's Excel is a little better but I'll use it as an example here of What You See Is Not What You Get.
I am doing some work on cities and (county-level) FIPS codes (so, in the US, FIPS codes are Federal level identifiers useful for a lot of things, they identify counties). Some cities are large and lie in more than one county. Some of the data I have deals with cities, and the income data is on the county level, so I need to map from cities to county FIPS.
Excel did not make this easy.
The file I grabbed off the net to help me map cities to FIPS (counties) quite correctly listed all the appropriate FIPS codes for each city. I needed to narrow this down to one (Wikipedia helped a lot, the geopolitical Wikipedians are nitpickers).
FIPS codes for counties have two parts, two leading digits for the state and then three digits for the county. So all FIPS codes that start with 36, for instance, are counties in New York state.
The format from my source file looked like this:
Raleigh, NC: 37063,183 Birmingham, AL: 01073,117 New York, NY: 36005,047,061,081,085(I am pretty sure those 5 numbers for NYC are the 5 boroughs, I know Brooklyn is its own county, Kings county.)
Raleigh, NC: 37,063,183 (A) Birmingham, AL: 1,073,117 (A,B) New York, NY: 36,005,047,061,081,000 (A,C)
I am pleased to announce that a case study on data ethics, by myself and co-author Dr. Roei Davidson, has been published at Data & Society! Titled "The Ethics of Using Hacked Data: Patreon’s Data Hack and Academic Data Standards", we look at issues around using hacked data (or not).
But I wanted to. See the paper for details! (It's free and concise, don't worry.)