Research Topic of the month at the Complexity Science Hub – #3 Crime in the Digital Age – Interview with Bernhard Haslhofer

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Crime in the Digital Age – Interview with Bernhard Haslhofer

This year, the Complexity Science Hub celebrates its 10th anniversary. Throughout our anniversary year, we’re spotlighting one research topic every month. In September, it’s Crime in the Digital Age. In this interview, group leader Bernhard Haslhofer shares a personal take.

If you had to explain what your group does to someone at a dinner party, what would you say?

We try to understand how the (illegal) crypto-money flows.

 

What's the tangled part of this problem that makes it so hard to crack?

Cybercrime has become one of the most pressing societal challenges of our time. Criminal actors adopt emerging technologies faster than most institutions can respond, and they operate across borders and jurisdictions.

The tricky part is that what looks like many separate crimes can actually be part of the same network. If you investigate each case on its own, you may keep chasing individual incidents without seeing the bigger picture. The challenge is to find the connections between cases — and, ultimately, the key nodes that link many of them together. That’s where you can potentially have a much bigger impact.

However, no single discipline sees the full picture. Cybercrime spans technical infrastructure, economic incentives, and human behavior. Countering it therefore requires an interdisciplinary approach and a joint effort between law enforcement, industry, and academia. It also requires us to think globally, because criminal networks are not stopped by national borders.

What are you working on right now that you can't stop thinking about?

Understanding who controls the this newly emerging system, if it is not the states anymore.

What pulled you into this field in the first place?

Curiosity.

What is complexity, to you?

The new modus operandi of money laundering: criminals control thousands of accounts and use them to create complex networks that are very hard to follow. All this happens automatically.

Has your research ever changed your mind about something you were sure of?

That human intelligence will be out of reach for machines for the foreseeable future.

What does a typical workday look like for you?

Read something (paper, blog post in the morning); write something; talk to someone.

What keeps you going despite all challenges?

I really like my job and cannot remember a day when I woke up and didn’t want to go to work.

When you're stuck – what do you do?

Stop – and go swimming or running.
 

What's the thing people get wrong about your field that bugs you?

That computer science is only about programming.

Is there a tool, model, or dataset you'd be lost without?

Previously the command line; nowadays LLMs in combination with the command line.

What would you love to have changed five years from now?

Finding an answer to the big question: “Who controls crypto”

Find more information on this research topic here. 

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