useR! 2024

Pricing analytics is an emerging sector where the use of optimization models and forecasting come hand in hand. I've developed models where we can use proprietary data and market intelligence to keep optimizing market share through pricing. The old tale of Volume vs Margin, which to prioritize. Since the development of the model the team has been able to guide business leaders in increasing profits while minimizing loss. In our talk we will discuss: -What is pricing analytics -Pricing challenges -How to optimize pricing using R

In my journey through data roles in econ research at various universities and non-profits, convincing my teams to hop on the R train has been a bit of a tug-of-war and that’s because in econ there's been a historic preference for proprietary tools like STATA that has resulted in a slower uptake of open-source collaborative practices. But yes, things are starting to change, slowly but surely. R and Python are shaking things up in the econ world and it's exciting to see research groups jumping in and opening up. In my experience, effectively showcasing R’s versatility, open-source foundation, and vibrant community support has proved pivotal in winning teams over. The insights I've gathered are relevant for anyone dealing with similar challenges in convincing their teams and if given the opportunity I'm keen to share these with everyone. Imagine this: an econverse brimming with R packages, as user-friendly and structured as the tidyverse or the pharmaverse. It's a vision worth spreading, and I'm eager to rally others to join the cause.

In the urgent pursuit of climate action, the need for effective financial tools to drive sustainable investment has become paramount.
The Paris Agreement Capital Transition Assessment (PACTA) is a forward-looking, science based analysis helping shift capital flows in greener directions and enabling the financial sector to contribute to the goals of the Paris Agreement.
PACTA offers free tools supporting investors in determining the alignment of their portfolios and loan books with widely accepted climate scenarios.
To date more than 1500 institutions have assessed their portfolios with PACTA, analyzing assets totalling over US$100T.

PACTA also equips governments and regulators to assess the climate alignment of their regulated entities, both individually and at the level of an entire sector.
Our team has supported more than a dozen government entities and regulatory bodies in assessing the climate alignment of their financial sectors.

PACTA, written in R and freely available under the MIT license, stands as a powerful tool in the fight against climate change.
Join us to explore its transformative potential and contribute to the advancement of sustainable finance.