ਖੋਜ

A Poverty Index based on Contract Award Notices (CANs)

This specification was filed on 19/06/2025 as a pre-patent with the French National Institute for Industrial Property (INPI) under reference number DSO2025019231. (7 pages)

Since Contract Award Notices (CANs) reflect real, granular economic activity — public spending, infrastructure investment, procurement flow, and sectoral dynamics — they can indeed serve as the foundation for a powerful, data-driven Poverty Index (PI).

Core idea

Poverty is not only a function of income but also of access, opportunity, and distribution.
CANs offer real-time signals about:

Where money is being spent (geographically and sectorally)
Who benefits (by company, region, sector)
How public resources are distributed (contract value per capita, per sector, per region)

Thus, the Poverty Index can be derived indirectly from imbalances in public procurement activity.

An Environmental Vulnerability Index (EVI) based on Contract Award Notices (CANs)

This specification was filed on 15/09/2025 as a pre-patent with the French National Institute for Industrial Property (INPI) under reference number DSO2025027264 (12 pages)

This document explains how to build a robust, procurement-signal–driven Environmental Vulnerability Index (EVI) and refresh it daily from Contract Award Notices (CANs).

The process depends on (i) aligning the EVI with accepted vulnerability frameworks, and (ii) using CANs as high-frequency proxies for exposure, sensitivity, and adaptive capacity.

Here’s a practical blueprint we can implement now:

1) Anchor to accepted frameworks (to make it credible)

Classical EVI: the original (SOPAC/UNEP) used ~50 indicators to score countries’ environmental vulnerability to shocks. (gsd.spc.int)
INFORM Risk: decomposes risk into Hazard & Exposure × Vulnerability × Lack of Coping Capacity—very handy for structuring the math. (drmkc.jrc.ec.europa.eu)
ND-GAIN: separates Vulnerability (exposure, sensitivity, adaptive capacity across food, water, health, ecosystems, habitat, infrastructure) and Readiness (economic, governance, social). Use it to sanity-check and calibrate the index. (gain-new.crc.nd.edu)

2) Map procurement to eco-risk mechanics

Leverage classification codes (e.g., CPV in Europe) to tag each notice into environmental functions. (Outside the EU, build a translation layer to CPV.) (Marché Intérieur et PME)

Example CPV-mapped buckets (illustrative):

Hazard & Exposure signals: emergency works, flood defenses, wildfire services, meteorological/early-warning systems, drought relief logistics.
Sensitivity signals: water treatment & sewage, waste mgmt, ecosystem restoration, soil remediation, air-quality monitoring.
Adaptive capacity/readiness signals: resilient infrastructure retrofits, nature-based solutions, coastal buffers, grid hardening, R&D/consulting on climate adaptation, public awareness/education contracts.

3) Engineer daily indicators from CANs

For each country (and, if possible, region/municipality), compute high-frequency features such as:

Intensity (per capita / per GDP / per km²):

Total awarded value in each bucket (rolling 12m & 3m).
Pipeline value (open tenders) and pace (award lead time; time-to-mobilize).

Breadth & depth:

Number of distinct authorities commissioning resilience work; supplier concentration (HHI).
Geographic coverage (share of districts with active resilience contracts).

Timing & volatility:

Spikes after shocks (e.g., flood months) → reactive capacity.
Stable, anticipatory spend in risk-reduction → proactive capacity.

Quality/process proxies:

Competitive intensity (#bidders), single-bid share (risk flag), change-orders frequency, maintenance vs. capex mix.

Link to hazard-specific layers (optional but powerful):

Join to WRI Aqueduct water-risk scores; if water stress is high but water-system CAPEX is low, heighten vulnerability. (World Resources Institute)

4) Compose the index

A Press Freedom Index based on Contract Award Notices (CANs)

This specification was filed on 14/10/2025 as a pre-patent with the French National Institute for Industrial Property (INPI) under reference number DSO2025027371 (8 pages)

Creating a Press Freedom Index from contract award notices (CANs) is a highly unconventional and indirect approach. Standard Press Freedom Indexes, such as the one published by Reporters Without Borders (RSF), are based on a wide range of factors directly related to the media environment. These include:

Political Context: The degree of support for and autonomy of media.
Legal Framework: Laws and regulations affecting journalism, and the independence of public media.
Economic Context: Economic constraints on the press.
Sociocultural Context: Social and cultural pressures leading to self-censorship.
Safety: The physical and psychological safety of journalists.

These traditional indexes are primarily built on qualitative surveys of journalists, researchers, and human rights activists, combined with quantitative data on abuses and violence against journalists.

Our proposed data source, daily Contract Award Notices (CANs), is a record of public procurement decisions. A CAN is a public announcement by a government or public authority that it has awarded a contract to a specific supplier. The core purpose of this data is to ensure transparency and fairness in the use of public funds.

While there is no established methodology for creating a Press Freedom Index from this specific data, it is possible to build a proxy index by identifying correlations between CAN data and factors that are known to influence press freedom. This requires a creative and multi-step analytical process.

The following is a conceptual framework explaining how we might approach this issue, broken down by potential indicators we can derive from CAN data.

25 Tixx™ Functions and Metrics

The specification was filed on 21/11/2024 as a pre-patent with the French National Institute for Industrial Property (INPI) under reference number DSO2024018240. (5 pages)

Tixx™ metrics are all based on the data contained in Contract Award Notices (CAN) downloaded daily from 194 countries.

The metrics can be displayed and compared for a past, present, or future period or date selected by a subscriber.

The metrics can be broken down per Country and/or Region (state), City, Market Sector or Player (CRCMSP).

The application is available in 100+ languages, and automatically displayed in that of the visitor.

Datatixx SAS has contracts with CAN data providers for all 194 countries covered by the service.

The data providers together have approximately 75,000 corporate customers that use their services, meaning Tixx™ will have a potential customer base of 75,000 subscribers from the outset.