Open jaanli opened 1 year ago
https://nexus.openlca.org/search foodb.ca
with @siimre -- datasets on driving / accidents by language (look at word error rate and driving accidents and availability of speech-to-text in cultures / languages)
with @siimre -- correlate word error rate of machine translation software to scams and phishing attack success - e.g. https://microdata.worldbank.org/index.php/catalog?page=1&sk=laundering&ps=15
Maybe use react flow for diagram of these; the links just link to # headings on the same page
Chatgpt can help.
Make each page become a separate slide with slides.js
indrek data &
https://www.fuse-capital.com/ 2023 M&A Report 2023 and beyond 7.Are you planning to go through an M&A process in the next 12 months? Yes No Maybe 8.What are your main drivers for conducting an acqusition? Choose as many as you like EBIT(DA) Growth Acquiring key customer(s) Improving your talent pool Improving your IP Not applicable 9.How do you plan to fund the deal? Choose as many as you like Equity Private/Venture Debt fund Existing investors Bank Debt 10.What are the major obstacles to completion Choose as many as you like Access to capital Internal resourcing / team bandwidth Differences in valuation expectations Time constraints 11.How confident are you in: Very confident Confident Somewhat confident Somewhat not confident Extremely not confident Completing the deal Ability of your advisor 12.How confident are you in: Very confident Confident Somewhat confident Somewhat not confident Extremely not confident The equity markets The debt markets 13.What is your key prediction for the M&A market in 2023?
https://www.palladiummag.com/2023/02/23/the-west-lives-on-in-the-talibans-afghanistan/
And Wang huning
And J&J.
And OSINT guide to mental health.
And ZeroGPT
land use from columbia, nyu, and the church in new york city - maybe from https://capitalplanning.nyc.gov/map/facilities#11.72/40.6506/-73.9607 or https://github.com/NYCPlanning/db-developments
https://tech.marksblogg.com/duckdb-geospatial-gis.html
https://www.architecture-performance.fr/ap_blog/trying-duckdb-with-discogs-data/
https://ibis-project.org/backends/DuckDB/#the-flexibility-of-python-analytics-with-the-scale-and-performance-of-modern-sql https://news.ycombinator.com/item?id=29010103 https://pacha.dev/blog/2021/08/27/comparing-sqlite-duckdb-and-arrow-with-un-trade-data/
nutritionx claims
hotel costs to replicate https://twitter.com/levelsio/status/1634617450041057280 worldwide (with interest + yields estimated from high-yield accounts)
Arcgis race and ethinicity in the US
salt per country by @mwagner
Brick concrete rain exterior -- data from India supply chain, and time spent on maintenance, or wood homes. Brick and concrete
for iris: datasets related to technological advancement? job loss, economics, etc
via @kulnor :
For anonymization:
https://centre.humdata.org/learning-path/disclosure-risk-assessment-overview/statistical-disclosure-control-tutorial/ https://sdctheory.readthedocs.io/en/latest/