anchor.diff:  
   Reviewr Note: I've given a 5-minute ignite talk on the this subject that I would expand into a fuller talk if accepted: https://www.youtube.com/watch?v=Vp3m2_YJ2Tk
   "
  -zselvans,Zane Selvans,US Energy Data Liberation,zselvans,ZaneSelvans,,"An alphabet soup of government agencies like FERC, EPA, EIA, PHMSA, MSHA and the ISOs and RTOs collect and publish terabytes of data about the US energy system. It includes operating costs and fuel consumption, hourly power output and GHG emissions, and the age and length of natural gas pipelines, the price of electricity every 5 minutes at thousands of nodes in the grid, coal production numbers and much much more. In theory all this data is public and freely available, but in practice it takes a lot of wrangling to make it usable for analysis. The result: it's packaged up by one or two platform monopolies that charge tens of thousands of dollars a year for easy access, excluding most non-corporate users. But for anyone interested in the ongoing transformation of our energy system and its climate impacts, this data is a treasure trove worth excavating. The Public Utility Data Liberation project (https://github.com/catalyst-cooperative/pudl) has been working for the last 2.5 years to liberate this data and make it freely accessible to activists, data journalists, and researchers working on US climate and energy policy. This talk will take a look at what the data is, where it comes from, why it's interesting, how we're processing it and making it available, and some of the challenges we're facing and opportunities we see ahead."
  +zselvans,Zane Selvans,US Energy Data Liberation,zselvans,ZaneSelvans,https://doi.org/10.5281/zenodo.2825635#.XNyBGxNAPDI,"An alphabet soup of government agencies like FERC, EPA, EIA, PHMSA, MSHA and the ISOs and RTOs collect and publish terabytes of data about the US energy system. It includes operating costs and fuel consumption, hourly power output and GHG emissions, and the age and length of natural gas pipelines, the price of electricity every 5 minutes at thousands of nodes in the grid, coal production numbers and much much more. In theory all this data is public and freely available, but in practice it takes a lot of wrangling to make it usable for analysis. The result: it's packaged up by one or two platform monopolies that charge tens of thousands of dollars a year for easy access, excluding most non-corporate users. But for anyone interested in the ongoing transformation of our energy system and its climate impacts, this data is a treasure trove worth excavating. The Public Utility Data Liberation project (https://github.com/catalyst-cooperative/pudl) has been working for the last 2.5 years to liberate this data and make it freely accessible to activists, data journalists, and researchers working on US climate and energy policy. This talk will take a look at what the data is, where it comes from, why it's interesting, how we're processing it and making it available, and some of the challenges we're facing and opportunities we see ahead."
   msantos,Melissa Santos,A Love Letter to the Boxplot,msantos,ansate,https://doi.org/10.5281/zenodo.2697232#.XNV2TamcLzY,"We'll briefly cover what the boxplot is, why it's so great to look at distributions instead of single statistics, and common boxplot variations. I'll spend at least half the talk showing boxplots of real data and comparing them to other summary methods. The talk will wrap up with some quick info on how to create boxplots in many common chartings/statistics/BI tools. I hope this talk will make people more likely to use my favorite chart!"
   jnolis_hnolis,Jacqueline Nolis & Heather Nolis,Spanking and Spreadsheets: Data-driven Sex Journalism,jnolis_hnolis,skyetetra,,"When we saw that the Stranger, Seattle’s alternative newspaper, was running a survey on kinks and sexual preferences, we knew we had to get our hands on the data. We convinced the that using machine learning methods on the responses would be a good idea, and then we quickly set out to analyzing them. But we had never written an article for a newspaper before—nor had we worked with data even remotely as dirty. It turns out what makes for a good blog post or technical journal is very different than writing for print, especially for such a sensitive topic. In this talk we will cover how we made sense of the lewd data, the statistical methods we used (and failures we produced), as well as the final results that ended up in our feature article: “There Are Four Kinds of Sex Partners (which one are you).”"
   dlowenberg_thabermann,Daniella Lowenberg & Ted Habermann,Missing Data for Data - Our Quest to Clean Up Institutional Affiliations in Dryad,dlowenberg_thabermann,Danilowenberg,,"Data publications and other scholarly outputs do not have clean information on institutional affiliations for researchers. This is caused by a mix of not asking researchers for this information up front, as well as incomplete metadata being submitted by repositories to DataCite and (publications to) Crossref. Without this standardized information we can't properly report on or provide statistics on deposits, usage metrics, or reach by institution. Join us for a session about our work using OpenRefine, organizational identifiers (ROR), and some manual sleuthing to update and improve Dryad institutional metadata for 25,000 data publications."
  
positive.code: id,name,title,img,twitter,slides_url,abstract
  gkanunnikau,Gleb Kanunnikau,Digging for Urban and Civic Data in Eastern Europe,gkanunnikau,,,"The Open Data and Open Knowledge movement in developing countries is constantly bumping against the paradoxical question: is there a way to open up data when the datasets aren't yet present? Where do you get the data to make your effort worthwhile and how do you scale to make the initiative relevant to the larger society? More importantly, do the data producers (the state bodies and the surveillance apparatus, social networks or municipal service providers) share the interest of publishing data for everyone's and society's benefit? Is there a way to dig out interesting and relevant datasets that people didn't know existed to show new ways to analyze and fight urban problems, educate people about the environment, propose solutions to post-Soviet problems like unemployment, decaying public infrastructure, never-digitized cultural assets? Do we cooperate with the fashionable ""Smart city"" projects funded by Chinese state corporations or remain vary of the surveillance methods they introduce in cooperation with the police and other government structure? Practical cases, civic hacking and citizen data science, establishing cooperation between unlikely partners and other questions of interest for anyone interested in the community building process from scratch."
  bduckles_vsteeves,Beth Duckles & Vicky Steeves,Qualitative Research Using Open Source Tools,bduckles_vsteeves,bduckles,https://doi.org/10.5281/zenodo.2673016#.XNRZAeXaqVs,"Qualitative research has long suffered from a lack of free tools for analysis, leaving no options for researchers without significant funds for software licenses. This presents significant challenges for equity. This panel discussion will explore the first two free/libre open source qualitative analysis tools out there: qcoder (R package) and Taguette (desktop application). Drawing from the diverse backgrounds of the presenters (social science, library & information science, software engineering), we will discuss what openness and extensibility means for qualitative research, and how the two tools we've built facilitate equitable, open sharing."
  bgtzovaras,Bastian Greshake Tzovaras,The n-of-many-ones: Fueling Community Science with Personal Data,bgtzovaras,gedankenstuecke,https://doi.org/10.5281/zenodo.2697185#.XNV2a_DJe5Y,"As we are becoming more and more digitized, we are creating and collecting more personal data than ever before, offering unprecedented chances for research. This potential wealth of data for research comes practical problems such as: How to merge data streams? And how can people responsibly share their personal information? In this talk we will explore how to enable responsible personal data sharing by giving individuals granular sharing options and how this can enable community science. Furthermore, we will also see how we can scale up personal data exploration from the n-of-one to an n-of-many-ones, using a JupyterHub setup built right into a community science platform."
  adyork,Amber D. York,Frictionless Data Processing in the Wild,adyork,BCODMO,https://zenodo.org/record/2687557#.XNRWMi-ZNQI,"Frictionless Data (FD) initiatives out of Open Knowledge International provide attractive informatics and processing capabilities.  The BCO-DMO data repository used FD tools on real-world datasets, and we have some lessons learned to share. By building upon existing FD tools, we found ways to reduce the amount of time data managers spend generating metadata, and writing custom scripts.  We are also developing ways for data managers with varying levels of scripting ability to make use of Frictionless Data tools. "
  
negative.code: The only standard in web archiving is the ISO WARC file format, which specifies raw data captured from the web. However, the WARC files often lack any context or metadata about how this data was captured. The talk will briefly cover the basics of the WARC format, and also provide possible ideas for making web archiving data more user-friendly, present existing tools and suggest ideas for interoperable ways to describe collections and make sense of growing web archive data beyond the WARC format."
  dphiffer,Dan Phiffer,Data & Social Justice,dphiffer,dphiffer,https://doi.org/10.5281/zenodo.2673409#.XNRXPFY3Ub4,"This talk will provide an overview of the course I'm currently teaching at Bennington College called Data & Social Justice. I'll outline some of the issues my students have been organizing around, as well as techniques they've developed for doing outreach, using data visualization to support their causes, and describing how I've supported their efforts through my own faculty activism. n.b., I'm only halfway through the semester, but there is already plenty of material for a talk."
  mgould,Maria Gould,Let's ROR Together: Building an Open Registry of Research Organizations,mgould,researchorgs,https://doi.org/10.5281/zenodo.2691307#.XNV3V0HjJno,"ROR is a community-led project to develop an open, sustainable, usable, and unique identifier for every research organization in the world."
  spwanson,Saul Pwanson,How a File Format Led to a Crossword Scandal,spwanson,saulfp,https://doi.org/10.5281/zenodo.2836892#.XNyBaUXUB1Y,"In 2016 I designed a plain-text file format for crossword puzzle data, and then spent a couple of months building a micro-data-pipeline, scraping tens of thousands of crosswords from various sources.  Then, having all those crosswords in a simple format, I wanted to see if there were any common grid patterns--and discovered egregious plagiarism by a major crossword editor that had gone on for years. This talk would cover the file format, data pipeline, and the design choices that aided rapid exploration; the evidence for the scandal, from the initial anomalies to the final damning visualization; and what it's like for a data project to get 15 minutes of fame."
  dkazemi,Darius Kazemi,Squishy Amoeba-Like Objects,dkazemi,tinysubversions,,"On June 19th, 1970, a group of computer scientists who were inventing the internet referred to key pieces of its proposed design as ""squishy amoeba-like objects"".  Amoebas are porous yet have well-defined boundaries. Thinking about these creatures gives us new ways to think about networks and communities and technology.  This talk makes a case for the squishy amoeba-like object as an organizing principle for what is broadly being called ""the decentralized web"", a web outside of monolithic, monopolistic actors."
  choldgraf,Chris Holdgraf,Open Infrastructure for Open Science: How Binder Powers an Open Stack in the Cloud,choldgraf,choldgraf,https://doi.org/10.5281/zenodo.2747641#.XNiPHjM-1-U,"This talk will discuss the Binder Project in the context of open data and open science, two primary use-cases that have driven the project. It will cover the basics of the Binder Project, such as how to define a reproducible repository to share with others. It will then discuss one of Binder's core goals, which is to build on open standards to facilitate the use of *many* open languages, interfaces, etc. Finally I'll discuss how BinderHub, the technology behind a Binder deployment, is itself open source and deployable anywhere. I'll finish by describing a goal of distributed, federated BinderHubs that provide a network of reproducible data analytics environments."
  aterrel,Andy Terrel,Should Real Estate Data be Open?,aterrel,aterrel,,"While aggregators of multiple listing service (MLS) data have opened up much of the process of finding a house on the internet, the data is still closed. The MLS quotes personal security as the primary reason. What data is being protected and what is the impact of that decision? As a consumer of data from numerous sources, REX has routinely been denied access to this data. In this case we make the case for all the societal benefits for opening this data and the implications."
  