Welcome to the place where I share my ideas.

I'm a data-driven economist dedicated to sharing my knowledge and insights about the rapidly changing role of data within our economy. I combine my knowledge of economics and data to gain deeper insights into systems and promote data-driven decision-making. This website is my way of sharing my insights and projects on topics that I think are worth a closer look.

Topics you can read about on this website:

My thoughts: a world of data

Data is becoming increasingly vital for shaping the future. In a world where information is generated at an exponential rate, organizations must leverage data to stay ahead of the curve and make informed decisions. The ability to collect, store, and analyze large amounts of data has opened up new possibilities for innovation, creating new industries and transforming existing ones.

Data is also changing the way we live our lives. From healthcare to education, data is being used to improve services and create more personalized experiences. In the future, data will continue to play a crucial role in driving progress and solving complex global challenges.

However, as the use of data expands, it is also important to ensure that it is used correctly. The privacy and security of data must be protected, and individuals must have control over their own information. The responsible use of data will be crucial for ensuring that its potential is fully realized and that its benefits are shared by everyone.

“Data are just summaries of thousands of stories—tell a few of those stories to help make the data meaningful.”

~ Dan Heath

The most important thing standing between raw data and insight is the context surrounding the data. Without the story or information behind the data there are two options:

If you want to read more about the importance of context in the use of data you can read the following blogpost:

Importance of context in the use of data

Recent Blog Posts

October 31, 2023

Safeguarding Democracy in the Age of Misinformation

In today's digital age, the spread of fake news and the limited fact-checking of political information have become pervasive issues that threaten the integrity of democratic processes worldwide. In this article I will discuss the influence of fake news and the consequences of limited fact-checking in politics. Moreover, I explore the importance of governments investing in cutting-edge tools and strategies to protect their populations from the effects of misinformation.
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February 11, 2023

The effect of data on society

The exponential growth of data is one of the defining characteristics of the digital age. In recent years, the amount of data generated by individuals, organizations, and devices has increased dramatically, leading to new opportunities and challenges.
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February 10, 2023

Importance of context in the use of data

The importance of context in data cannot be overstated. Whether you're working with small or large datasets, understanding the context in which the data was collected is crucial to ensure that the data is interpreted correctly and meaningful conclusions are drawn.
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February 1, 2023

The basics of Data Governance

Data governance is a critical aspect of modern organizations, as it helps ensure that data is managed in a responsible, ethical, and secure manner. In this post I will introduce the reasons why organization should prioritize data governance and I will shortly introduce the basic steps of a data governance implementation.
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Recent Projects

January, 2023 | Tags: Python

Equilibrium in a simulated health insurance market

In this projects I aim to examine the effect of quantity rationing and information rent on the quantity of health provided in a health insurance market. The models simulate different levels of health among consumers, and provide different insurance packages for them to choose from. The introduction of information rent, which allows the insurer to decrease the price of the unhealthy package due to the risk of unhealthy consumers switching, results in a decrease in the quantity provided to healthy consumers, thus limiting adverse selection and increasing total profits.
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August, 2022 | Tags: Python

The effect of immigration on unemployment of nativeborn citizens

This study investigates the relationship between immigration and native-born unemployment, as the rise of far-right political parties has led to anti-immigration sentiments due to concerns about its impact on the labor market. We used three different regression models and found a negative relationship between immigration, GDP per capita, and inflation with native-born unemployment.
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May, 2022 | tags: Python

Master Thesis: Accounts Receivable Cash Flow Forecasting

In this paper I investigate to what extent machine learning techniques can predict the cash flow of the accounts receivable based on historical data at a company of which the accounts receivable consists of few large value entries and many small value entries. In this study I compare the performance of SES, ARIMA, LSTM and Hybrid ARIMA-LSTM models on one company dataset and three synthetic datasets. The code used for each model and how it was optimized can also be found in the paper.
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