Economic Modeling and Prediction, Charitable Giving, and a Follow Up with Peter Backus
Data Skeptic19 Dec 2014

Economic Modeling and Prediction, Charitable Giving, and a Follow Up with Peter Backus

Economist Peter Backus joins me in this episode to discuss a few interesting topics. You may recall Linhda and I previously discussed his paper "The Girlfriend Equation" on a recent mini-episode. We start by touching base on this fun paper and get a follow up on where Peter stands years after writing w.r.t. a successful romantic union. Additionally, we delve in to some fascinating economics topics.

We touch on questions of the role models, for better or for worse, played a role in the ~2008 economic crash, statistics in economics and the difficulty of measurement, and some insightful discussion about the economics charities. Peter encourages listeners to be open to giving money to charities that are good at fundraising, and his arguement is a (for me) suprisingly insightful logic. Lastly, we have a teaser of some of Peter's upcoming work using unconventional data sources.

For his benevolent recommendation, Peter recommended the book The Conquest of Happiness by Bertrand Russell, and for his self-serving recommendation, follow Peter on twitter at @Awesomnomics.

Avsnitt(588)

Political Digital Advertising Analysis

Political Digital Advertising Analysis

NaLette Brodnax, a political scientist and an Assistant Professor in the McCourt School of Public Policy at Georgetown University joins us to discuss her work on analyzing digital advertisements for political campaigns. She used data for electoral campaigns on Facebook to answer questions that help us better understand how digital ads affect the outcome of elections. Click here for additional show notes! Thanks to our sponsor! https://neptune.ai/ Log, store, query, display, organize and compare all your model metadata in a single place

21 Juli 202235min

Fraud Detection in Crowdfunding Campaigns

Fraud Detection in Crowdfunding Campaigns

18 Juli 202235min

Artificial Intelligence and Auction Design

Artificial Intelligence and Auction Design

11 Juli 202243min

Privacy Preference Signals

Privacy Preference Signals

Have you ever wondered what goes on under the hood when you accept a website's cookies? Today, Maximilian Hils, a PhD student in Computer Science, at the University of Innsbruck, Austria, dissects the ad tech industry and the standards put in place to protect users' data. He also shares his thoughts on the use of VPNs as well as other tools that help shield your data from prying eyes on the internet. Click here for additional show notes Thanks to our sponsor: https://clear.ml/ ClearML is an open-source MLOps solution users love to customize, helping you easily Track, Orchestrate, and Automate ML workflows at scale.

4 Juli 202233min

Neural Architecture Search for CTR Prediction

Neural Architecture Search for CTR Prediction

Ravi Krishna joins us today to talk about his recent work on a differentiable NAS framework for ads CTR prediction. He discussed what CTR prediction is about and why his NAS framework helps in building neural networks for better ads recommendation. Listen to learn about methodology, related literature and his results. Click for additional show notes Thanks to our sponsor: https://astrato.io Astrato is a modern BI and analytics platform built for the Snowflake Data Cloud. A next-generation live query data visualization and analytics solution, empowering everyone to make live data decisions.

27 Juni 202228min

Algorithmic PPC Management

Algorithmic PPC Management

Effectively managing a large budget of pay per click advertising demands software solutions. When spending multi-million dollar budgets on hundreds of thousands of keywords, an effective algorithmic strategy is required to optimize marketing objectives. In this episode, Nathan Janos joins us to share insights from his work in the ad tech industry. Click for additional show notes Thanks to our sponsor! https://wandb.com/ The developer-first MLOps platform. Build better models faster with experiment tracking, dataset versioning, and model management.

21 Juni 202243min

Data Skeptic: Ad Tech

Data Skeptic: Ad Tech

Increasingly, people get most if not all of the information they consume online. Alongside the web sites, videos, apps, and other destinations, we're consistently served advertisements alongside the organic content we search for or discover. Targetted ads make it possible for you to discover relevant new products you might otherwise not have heard about. Targetting can also open a pandora's box of ethical considerations. Online advertising is a complex network of automated systems. Algorithms controlling algorithms controlling what we see. This season of Data Skeptic will focus on the applications of data science to digital advertising technology. In this first episode in particular, Kyle shares some of his own personal experiences and insights working in pay-per-click marketing. Click for additional show notes

18 Juni 202242min

The Reliability of Mobile Phone Data

The Reliability of Mobile Phone Data

Our mobile phones generate an incredible amount of data inbound and outbound. In today's episode, Nishant Kishore, a PhD graduate of Harvard University in Infectious Disease Epidemiology, explains how mobility data from mobile phones can be captured and analysed to understand the spread of infectious diseases. Click here for additional show notes Thanks to our sponsor! https://neptune.ai/ Log, store, query, display, organize, and compare all your model metadata in a single place

13 Juni 202249min

Populärt inom Vetenskap

p3-dystopia
dumma-manniskor
paranormalt-med-caroline-giertz
svd-nyhetsartiklar
allt-du-velat-veta
rss-vetenskapligt-talat
kapitalet-en-podd-om-ekonomi
dumforklarat
rss-vetenskapspodden
rss-ufobortom-rimligt-tvivel
sexet
rss-vetenskapsradion
rss-i-hjarnan-pa-louise-epstein
rss-vetenskapsradion-2
det-morka-psyket
medicinvetarna
a-kursen
hacka-livet
rss-spraket
rss-personlighetspodden