AND THE WINNER IS: New data-driven method to fight corruption! - CSH

AND THE WINNER IS: New data-driven method to fight corruption!


Oct 8, 2020

UPDATE OCTOBER 8

 

We are proud to announce:

The project won the
IMF Anti-Corruption-Challenge!!

 

The dashboard will now be extended by another 40 countries.

A dashboard scans government contracts for corruption risk

 

October 6, 2020

 

When Johannes Wachs, a computational social scientist who joined the Hub in April, began his PhD at Central European University, he was surprised how little Big Data research was done on corruption. Working to address this gap, Johannes started a long term collaboration with the Government Transparency Institute (GTI), a “non-partisan think tank researching and advocating good governance” which was founded in Hungary in 2015.

 

Dashboard tracks red-flags in contracting at multiple scales

 

As part of that group, Johannes works to find clever ways to measure corruption risks in public procurement processes.

 

Procurement is a major channel of funds from the public to the private sectors. Recently, Johannes and a team of researchers from GTI, Central European University, University of Sussex, and the UK’s Foreign Office, launched a pilot project for the International Monetary Fund (IMF). “We created a dashboard that monitors red flags for corruption risk in procurement procedures,” Johannes explains.

 

Their software scans thousands of calls for proposals and tenders for signs that a free and fair competition may have been restricted. “If, for instance, only one bidder submits a bid, this suggests that the procedure was unfair,” Johannes points out. Other red flags track whether contract winners are registered in tax havens, or if the time to submit a bid was exceptionally short. The method does not prove that corruption has taken place. It rather highlights suggestive patterns that deserve a second look.

 

Pilot project with five countries

 

Recent research has shown that countries, regions, and sectors in which contracts tend to have many red flags also tend to have higher cost-overruns and higher perceptions of corruption.

 

The team uses the corruption risk measures to estimate the costs of corruption on the micro-level, highlighting specific sectors or regions within countries where potential corruption is more expensive.

 

So far, the dashboard tracks over 1.5 million contracts from five countries: Uganda, Georgia, Indonesia, Romania, and Paraguay. “There are differences in the data we can source from each country, and it takes a lot of work to gather and clean the data. But once this is done, the method works well in all five cases,” says Johannes.

 

The dashboard offers a fast and inexpensive complement to traditional tools in the anti-corruption policymaker’s toolkit, such as surveys and case studies. “A major strength of our dashboard is that we much smaller scales: in certain regions or specified to subjects like public procurement or construction,” Johannes concludes.

 

Running for funding

 

The team will present their pilot tomorrow, October 7, 2020 at the IMF’s Anti-Corruption Challenge, competing against seven other finalists for funding to extend their pilot to over 40 countries world-wide.

 

Follow this link to see the presentation—and eventually vote for Johannes’s team, if you like:

https://www.imf.org/en/Topics/innovation-at-the-imf/imf-acc-event

 

Click for a detailed project description.

 

The dashboard with five countries can be seen here.

 


Press

Lockdown in der Verlängerung: Ist das die neue Normalität?


ORF 3 | Politik live, Dec 3, 2020

News

Dec 3, 2020

Cryptofinance: our new research field!

Press

Strenge Einreisebeschränkungen in der Weihnachtszeit


Wiener Zeitung, Dec 2, 2020

Press

Corona-Experte: “Gehen auf soften Lockdown zurück”


K.at, Dec 2, 2020

Press

David Garcia: “In Social Media geht es immer radikaler zu” [print]


Der Standard , Dec 2, 2020

News

Dec 1, 2020

What is a Complex System? A new book explains

News

Nov 25, 2020

Which measures work best? The final results

News

Nov 22, 2020

Blog | Elma Dervic: “Diabetic women at high risk for depression”

Publication

N. Cao, M. Meyer, L. Thiele, O. Saukh

Pollen video library for benchmarking detection, classification, tracking and novelty detection tasks: dataset

in: DATA '20: Proceedings of the Third Workshop on Data: Acquisition To Analysis. Association for Computing Machinery, NY (2020) 23–25

Publication

F. Papst

Privacy-preserving machine learning for time series data

in: SenSys '20: The 18th ACM Conf on Embedded Networked Sensor Systems (2020) 813–814

Publication

F. Papst, N. Stricker, O. Saukh

Localization from activity sensor data: poster abstract

in: SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems (2020) 703–704

Publication

J. Lasser, et al.

Agent-based simulations for optimized prevention of the spread of SARS-CoV-2 in nursing homes

[submitted Nov. 19, 2020]

Press

Lockdown in der Verlängerung: Ist das die neue Normalität?


ORF 3 | Politik live, Dec 3, 2020

News

Dec 3, 2020

Cryptofinance: our new research field!

Press

Strenge Einreisebeschränkungen in der Weihnachtszeit


Wiener Zeitung, Dec 2, 2020

Press

Corona-Experte: “Gehen auf soften Lockdown zurück”


K.at, Dec 2, 2020

Press

David Garcia: “In Social Media geht es immer radikaler zu” [print]


Der Standard , Dec 2, 2020

News

Dec 1, 2020

What is a Complex System? A new book explains

News

Nov 25, 2020

Which measures work best? The final results

News

Nov 22, 2020

Blog | Elma Dervic: “Diabetic women at high risk for depression”

Publication

N. Cao, M. Meyer, L. Thiele, O. Saukh

Pollen video library for benchmarking detection, classification, tracking and novelty detection tasks: dataset

in: DATA '20: Proceedings of the Third Workshop on Data: Acquisition To Analysis. Association for Computing Machinery, NY (2020) 23–25

Publication

F. Papst

Privacy-preserving machine learning for time series data

in: SenSys '20: The 18th ACM Conf on Embedded Networked Sensor Systems (2020) 813–814

Publication

F. Papst, N. Stricker, O. Saukh

Localization from activity sensor data: poster abstract

in: SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems (2020) 703–704

Publication

J. Lasser, et al.

Agent-based simulations for optimized prevention of the spread of SARS-CoV-2 in nursing homes

[submitted Nov. 19, 2020]

News

Dec 3, 2020

Cryptofinance: our new research field!

News

Dec 1, 2020

What is a Complex System? A new book explains

News

Nov 25, 2020

Which measures work best? The final results

News

Nov 22, 2020

Blog | Elma Dervic: “Diabetic women at high risk for depression”

News

Nov 19, 2020

New theory of social fragmentation

News

Nov 5, 2020

Dealing with social media’s influence on democracy

News

Oct 9, 2020

70% less damage in case of financial collapse? The Hub knows the trick

News

Oct 8, 2020

AND THE WINNER IS: New data-driven method to fight corruption!

News

Sep 25, 2020

Corona Traffic Light New shows details for EU regions

News

Sep 21, 2020

Austrian “Scientists of the Year”: More funding for blue sky research!

News

Sep 4, 2020

Blog | Marcia Ferreira: “Measuring researcher mobility across institutions”

News

Aug 27, 2020

CCCSL: published in prominent company

Press

Lockdown in der Verlängerung: Ist das die neue Normalität?


ORF 3 | Politik live, Dec 3, 2020

Press

Strenge Einreisebeschränkungen in der Weihnachtszeit


Wiener Zeitung, Dec 2, 2020

Press

Corona-Experte: “Gehen auf soften Lockdown zurück”


K.at, Dec 2, 2020

Press

David Garcia: “In Social Media geht es immer radikaler zu” [print]


Der Standard , Dec 2, 2020

Press

Corona – Experte: “Gehen auf soften Lockdown zurück”


APA Science, Dec 2, 2020

Press

Wien kritisiert Anmeldung zu CoV-Massentests


ORF Online | Wien, Dec 2, 2020

Press

Massentests: Antigen-Tests vor allem zum Nachweis höherer Viruslast


Südtirol News, Dec 1, 2020

Press

Stabilere Banken dank Big Data?


Institutional Money, Dec 1, 2020

Press

Komplexitätsforscher Peter Klimek zu den CoV-Massentests


ORF | Report, Dec 1, 2020

Press

Brief an den Gesundheitsminister: Warnruf der Landesspitäler [print]


Kleine Zeitung, Dec 1, 2020

Press

Massen-Tests: Jetzt geht’s los [print]


Österreich, Dec 1, 2020

Press

Lockdown steht vor der Verlängerung [print]


Kronen Zeitung, Dec 1, 2020

Publication

N. Cao, M. Meyer, L. Thiele, O. Saukh

Pollen video library for benchmarking detection, classification, tracking and novelty detection tasks: dataset

in: DATA '20: Proceedings of the Third Workshop on Data: Acquisition To Analysis. Association for Computing Machinery, NY (2020) 23–25

Publication

F. Papst

Privacy-preserving machine learning for time series data

in: SenSys '20: The 18th ACM Conf on Embedded Networked Sensor Systems (2020) 813–814

Publication

F. Papst, N. Stricker, O. Saukh

Localization from activity sensor data: poster abstract

in: SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems (2020) 703–704

Publication

J. Lasser, et al.

Agent-based simulations for optimized prevention of the spread of SARS-CoV-2 in nursing homes

[submitted Nov. 19, 2020]

Publication

T.M. Pham, I. Kondor, R. Hanel, S. Thurner

The effect of social balance on social fragmentation

J. R. Soc. Interface Vol. 17, Issue 171 (2020)

Publication

J.-P. Aguilar, J. Kirkby, J. Korbel

Pricing, Risk and Volatility in Subordinated Market Models

Risks 8(4) (2020) 124

Publication

N. Haug, [...] P. Klimek

Ranking the effectiveness of worldwide COVID-19 government interventions

Nature Human Behaviour (2020)

Publication

Á. Corral, I. Serra, R. Ferrer-i-Cancho

Distinct flavors of Zipf’s law and its maximum likelihood fitting: Rank-size and size-distribution representations

Phys. Rev. E 102 (2020) 052113

Publication

X. Dai, X. Li, et al.

Discontinuous Transitions and Rhythmic States in the D-Dimensional Kuramoto Model Induced by a Positive Feedback with the Global Order Parameter

Phys. Rev. Lett. 125 (2020) 194101

Publication

R. Hanel, S. Thurner

Boosting test-efficiency by pooled testing strategies for SARS-CoV-2—Formula for optimal pool size

PLoS ONE 15(11) (2020) e0240652

Publication

L. Zenk, G. Steiner, et al.

Fast Response to Superspreading: Uncertainty and Complexity in the Context of COVID-19

Int. J. Environ. Res. Public Health 17(21) (2020) 7884

Publication

S. Lewandowsky, L. Smillie, D. Garcia, et al.

Technology and Democracy: Understanding the influence of online technologies on political behaviour and decision-making

EUR 30422 EN, Publications Office of the European Union, Luxembourg (2020)