home / csvconf


Data source: https://csvconf.com/

3 rows where datetime = "2019-05-08T14:30:00" sorted by speaker

View and edit SQL



Link rowid title speaker ▼ time day room url datetime abstract image
21 Using Research and Technology to Tackle Gender Bias Mollie Marr 2:30 PM May 8 2019 Fuller Hall https://csvconf.com/speakers/#mollie-marr 2019-05-08T14:30:00 Qualitative and mixed methods research studies have provided insight into the language and patterns associated with unconscious bias across multiple fields. These patterns can be converted to rules for NLP and other text analysis programs making it possible to identify bias within a written document. This talk will explore one approach using qualitative research in gender bias and letters of recommendation and evaluation to define rules for a web-based automated text analysis program using NLP. The role of research and technology in addressing structural issues such as bias will be discussed and participants will be encouraged to think about ways in which existing research might be used to inspire new solutions to social problems. https://csvconf.com/img/speakers-2019/mmarr.jpg
20 The Streets of Women. An Analysis of Street Nomenclature Data in Latin America and Spain through OpenStreetMap and Wikipedia Selene Yang 2:30 PM May 8 2019 Main Sanctuary https://csvconf.com/speakers/#selene-yang 2019-05-08T14:30:00 This is a collaborative project of Geochicas to produce a map of the streets named after women in Latin America and Spain. This project seeks to link and generate content in OSM and Wikipedia about prominent women. It is intended to make a survey of information on streets, avenues, passages, roads that have the names of women and also their respective biographies in Wikipedia. https://csvconf.com/img/speakers-2019/syang.jpg
22 US Energy Data Liberation Zane Selvans 2:30 PM May 8 2019 Daisy Bingham Room https://csvconf.com/speakers/#zane-selvans 2019-05-08T14:30:00 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. https://csvconf.com/img/speakers-2019/zselvans.jpg

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE TABLE [talks] (
   [title] TEXT,
   [speaker] TEXT,
   [time] TEXT,
   [day] TEXT,
   [room] TEXT,
   [url] TEXT,
   [datetime] TEXT,
   [abstract] TEXT,
   [image] TEXT
Powered by Datasette · Query took 5.84ms · Data source: https://csvconf.com/