“Be less selfish”


Aug 25, 2018

New ideas in complexity science

 

On May 24th, 2018, the First External Faculty Meeting of the Hub started with a public conference.

 

In short talks complexity scientists from all around globe shared their visions on the question “Complexity: Where do we go from here?”

 

What are the open, the most pressing, the most promising questions to an understanding of complexity and Big Data?

 

Find the talks of all conference participants (in order of appearance) on our Youtube channel in the playlist of the conference.

 

An overview with photographs of the event and links to all available slides can be found here.

 

Vittorio Loreto

 

“Scientists have a responsibility to tackle challenges”

 

 

In his talk, Vittorio Loreto, a professor of physics of complex systems at Sapienza University of Rome, says that scientists must rethink how they do science, and move away from competitive science to a more cooperative way of doing things.

 

Scientists, he says, have a responsibility to tackle challenges, and the necessary means to do so. The main focus is often on data and artificial intelligence, by which he means all the tools used to analyse data and form it into information and knowledge, such as models. What is missing, however, is human intelligence.

 

“We need our ability to read the environment, come up with generalisations of what we see and then come up with modelling schemes,” says Vittorio.

 

Another way scientists can make use of human intelligence is through participation gaming. For example, one experiment challenged attendees of a conference to construct a city with toy building blocks. Activities were monitored with cameras and sensors and the data fed into a model to assess the success of the city’s development. The monitoring system fed this information back to participants, who could then come up with new solutions for the city.

 

It is possible to use data from such games to assess the present and test new scenarios. However, if the models are wrong, the data will be wrong too. Data, artificial intelligence and human intelligence should always be joined.

 

“The tools we have in complexity now are very, very interesting. They are in the right combination to address important questions,” says Vittorio. “I guess we should be brave in this and move away from a reward system in which our reward is yet another publication or yet another citation.” And he concludes: “We should be less selfish.”

 

 

See the video in full lenght here:

 


Press

Klima und Geschichte


Die Presse, Nov 4, 2023

Research News

Nov 27, 2023

India's Rice Export Restrictions Echo in West Asia and Africa

Press

Daten mit Gewicht: Analysen von Lieferketten zeigen auch Steuerlücken


Die Presse, Oct 20, 2023

Spotlight

Nov 30, 2023

From Inequality to Instability

Press

Forscher sagt: „2024 wird das System in den USA möglicherweise zusammenbrechen“


Die Presse, Nov 14, 2023

Research News

Nov 28, 2023

Proposals for an Efficient and Effective Corporate Sustainability Due Diligence in Europe

Publication

M. Pangallo, A. Aleta, et al.

The unequal effects of the health-economy tradeoff during the COVID-19 pandemic

Nature Human Behaviour (2023) DOI: 10.1038/s41562-023-01747-x

Publication

P. Klimek, A. Aykac, S. Thurner

Forensic analysis of the Turkey 2023 presidential election reveals extreme vote swings in remote areas

PLoS ONE 18(11) (2023) e0293239

Publication

A. Nerpel, A. Käsbohrer, C. Walzer, A. Desvars-Larrive

Data on SARS-CoV-2 events in animals: Mind the gap!

One Health 17 (2023) 100653 DOI: 10.1016/j.onehlt.2023.100653

Spotlight

Nov 30, 2023

From Inequality to Instability

Research News

Nov 28, 2023

Proposals for an Efficient and Effective Corporate Sustainability Due Diligence in Europe

Research News

Nov 27, 2023

India's Rice Export Restrictions Echo in West Asia and Africa

Research News

Nov 23, 2023

Study Identifies Numerous Connections in Cybercrime Cases

Press

Nov 17, 2023

Invitation to media chat by Supply Chain Intelligence Institute Austria (ASCII)

Research News

Nov 15, 2023

Data Gap in SARS-CoV-2 Cases in Animals

News

Nov 14, 2023

FTX Collapse: New Method for Assessing the Solvency of Cryptocurrency Exchanges

People

Nov 10, 2023

Double Honors for CSH Researchers

News

Nov 13, 2023

New scientific methods for analyzing criminal careers

People

Nov 6, 2023

A letter to my dear friend Constantino

News

Oct 19, 2023

It's high time for alliances to ensure supply chain security

News

Oct 17, 2023

Experts discuss sustainable phosphorus use and global food security

Press

Forscher sagt: „2024 wird das System in den USA möglicherweise zusammenbrechen“


Die Presse, Nov 14, 2023

Press

Klima und Geschichte


Die Presse, Nov 4, 2023

Press

Daten mit Gewicht: Analysen von Lieferketten zeigen auch Steuerlücken


Die Presse, Oct 20, 2023

Press

Krypto-Forscher über DeFi: “Würde von De-facto-Centralized-Finance sprechen”


brutkasten, Oct 27, 2023

Press

Scientists say Western sanctions against China ‘toothless’ without better supply chain data


South China Morning Post, Oct 20, 2023

Press

Climate change has toppled some civilizations but not others. Why?


Grist, Oct 16, 2023

Press

scobel - Emergenz: Das verborgene Prinzip des Lebens


3sat, Oct 12, 2023

Press

Wenn die Kryptofalle zuschnappt


Kurier, Oct 17, 2023

Press

Chinas E-Autos kommen, und Europa darf nicht naiv sein


Der Standard, Oct 9, 2023

Press

GOP candidates' proposals to attack drug cartels is the wrong approach, Mexican researchers say


NBC News, Oct 6, 2023

Publication

P. Klimek, A. Aykac, S. Thurner

Forensic analysis of the Turkey 2023 presidential election reveals extreme vote swings in remote areas

PLoS ONE 18(11) (2023) e0293239

Publication

M. Pangallo, A. Aleta, et al.

The unequal effects of the health-economy tradeoff during the COVID-19 pandemic

Nature Human Behaviour (2023) DOI: 10.1038/s41562-023-01747-x

Publication

A. Nerpel, A. Käsbohrer, C. Walzer, A. Desvars-Larrive

Data on SARS-CoV-2 events in animals: Mind the gap!

One Health 17 (2023) 100653 DOI: 10.1016/j.onehlt.2023.100653

Publication

G. Heiler, T. Pham, J. Korbel, J. Wachs, S. Thurner

A large-scale empirical investigation of specialization in criminal career

Scientific Reports 13 (2023) 17160

Publication

A. Pichler, C. Diem, et al.

Building an alliance to map global supply networks: New firm-level data can inform policy-making

Science 382(6668) (2023) 270-272.

Publication

R. Prieto-Curiel, G. M. Capedelli, A. Hope

Reducing cartel recruitment is the only way to lower violence in Mexico

Science 381(6664) (2023) 1312-1316

Publication

B. Méro, A. Borsos, et al.

A High-Resolution, Data-Driven Agent-Based Model of the Housing Market

Journal of Economic Dynamics and Control (2023) 104738

Publication

S. Juhász, G. Pintér, et al.

Amenity complexity and urban locations of socio-economic mixing

EPJ Data Science 12 (2023) 34

Publication

R. Hanel, S. Thurner

Equivalence of information production and generalised entropies in complex processes

PLOS ONE 18(9) (2023) e0290695

Publication

K. Frenken, F. Neffke, A. van Dam

Capabilities, institutions and regional economic development: a proposed synthesis

Cambridge Journal of Regions, Economy and Society (2023) rsad021

Publication

G. Orlandi, D. Hoyer, et al.

Structural-demographic analysis of the Qing Dynasty (1644–1912) collapse in China

PLoS ONE 18(8) (2023) e0289748

Publication

N. Kushwaha, E.D. Lee

Discovering the mesoscale for chains of conflict

PNAS Nexus 2(7) (2023) pgad228