AI-based Data Platform for Fair Social Policies
The Politus Project aims to develop an AI-based data platform to empower opposition parties and municipalities in Turkey with real-time insights for fair social policymaking against populist governments.
Projectdetails
Introduction
The Politus Project will assess the commercial viability of proprietary natural language processing and machine learning technology for AI-based data-driven fair social policymaking. The project will verify the innovation potential of computational social science and policy-related novel methods from the PI’s ERC-funded Emerging Welfare Project (https://emw.ku.edu.tr).
Objectives
To deliver the technical and commercial proof of concept, the PI will establish the Politus Analytics Company, which will offer an AI-based data platform and fair data-driven policymaking consultancy services to two main client personas:
- Political parties
- Municipalities
Problems Addressed
The Politus Project will address two interconnected problems of opposition political parties and municipalities in Turkey and other emerging markets regarding social policymaking:
- Populist governments gain political advantage by abusing public social policies with the aid of big data, which disables opposition parties and municipalities from developing competitive electoral strategies.
- These big data sources are not available to non-governmental stakeholders, including opposition parties and municipalities, indicating a government-led information gap that opposition parties and municipalities cannot fill with traditional survey polling methods.
Innovation Development
The Politus project will develop an AI-based innovation that combines quantitative and computational methods in order to create a data platform that delivers:
- Representative, valid, instant, real-time, multi-country, and multi-language panel data on key political and social trends.
This data will be used to design fair social policies for opposition parties and municipalities.
Client Services
Politus will serve its clients (municipalities and political parties) by providing:
- The data and tools to pinpoint exact discretionary and clientelistic allocation of social policies.
- Data and insight to understand the needs and wants of the citizens and gain electoral advantage.
- The design of fair social policies.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-12-2022 |
Einddatum | 31-5-2024 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- KOC UNIVERSITYpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Mapping and Matching Content Diversity and Bias in EU Online Social NetworksPolarScopEU aims to develop a tool for measuring and mapping online political polarization in Greece, Portugal, and Spain, enhancing awareness of biases and improving understanding of political content. | ERC Proof of... | € 150.000 | 2024 | Details |
Human collaboration with AI agents in national health governance: organizational circumstances under which data analysts and medical experts follow or deviate from AI.This project aims to explore the socio-cultural dynamics of AI in health governance across six countries to develop a theory on ethical AI intervention and its impact on national health policies. | ERC Starting... | € 1.499.961 | 2023 | Details |
Education policies that work: A context-sensitive ‘big data’ approachEDUPOL conducts a comprehensive analysis of neoliberal and democratic educational policies' interplay to identify effective policy combinations for improving quality and equality in education. | ERC Consolid... | € 1.930.120 | 2024 | Details |
Measuring and Mitigating Risks of AI-driven Information TargetingThis project aims to assess the risks of AI-driven information targeting on individuals, algorithms, and platforms, and propose protective measures through innovative measurement methodologies. | ERC Starting... | € 1.499.953 | 2022 | Details |
Delivering a useable method for mapping groups in attitude networks by developing a robust prototype, development community, and exploitation model to maximize the social value of the breakthroughThe project aims to make a mathematical method for analyzing bipartite graphs from surveys accessible to end-users, enhancing understanding of social attitudes and enabling cross-partisan collaboration. | ERC Proof of... | € 150.000 | 2022 | Details |
Mapping and Matching Content Diversity and Bias in EU Online Social Networks
PolarScopEU aims to develop a tool for measuring and mapping online political polarization in Greece, Portugal, and Spain, enhancing awareness of biases and improving understanding of political content.
Human collaboration with AI agents in national health governance: organizational circumstances under which data analysts and medical experts follow or deviate from AI.
This project aims to explore the socio-cultural dynamics of AI in health governance across six countries to develop a theory on ethical AI intervention and its impact on national health policies.
Education policies that work: A context-sensitive ‘big data’ approach
EDUPOL conducts a comprehensive analysis of neoliberal and democratic educational policies' interplay to identify effective policy combinations for improving quality and equality in education.
Measuring and Mitigating Risks of AI-driven Information Targeting
This project aims to assess the risks of AI-driven information targeting on individuals, algorithms, and platforms, and propose protective measures through innovative measurement methodologies.
Delivering a useable method for mapping groups in attitude networks by developing a robust prototype, development community, and exploitation model to maximize the social value of the breakthrough
The project aims to make a mathematical method for analyzing bipartite graphs from surveys accessible to end-users, enhancing understanding of social attitudes and enabling cross-partisan collaboration.
Vergelijkbare projecten uit andere regelingen
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Project POLIGEN-AIHet project richt zich op het ontwikkelen van een betrouwbare "fact-based" chatbot om desinformatie te bestrijden en geïnformeerde beslissingen te ondersteunen, met aandacht voor technische en juridische haalbaarheid. | Mkb-innovati... | € 20.000 | 2023 | Details |
Haalbaalbaarheidsproject naar het ontwikkelen van netwerkanalyses met beleidsdata en kunstmatige intelligentie ten behoeve van politieke besluitvorming, monitoring en verantwoordingJoinSeven ontwikkelt een innovatief dataplatform dat met AI publieke tekstdata analyseert en structureert, om overheidsorganisaties te ondersteunen bij datagestuurde besluitvorming en transparantie. | Mkb-innovati... | € 20.000 | 2023 | Details |
Synthetiseren en verrijken van data voor datagedreven beleidsimplementatiesSyntho en Stichting AHTI ontwikkelen een gebruiksvriendelijk softwareplatform dat privacygevoelige gegevens tussen gemeenten veilig deelt en verrijkt, om datagedreven beleid en realtime inzichten te verbeteren. | Mkb-innovati... | € 237.065 | 2022 | Details |
POTENTaiLIZERHet project onderzoekt de haalbaarheid van een AI-product, POTENTaiLIZER, om MKB-bedrijven te ondersteunen bij het optimaliseren van hun bedrijfsvoering via data-analyse en strategische tips. | Mkb-innovati... | € 20.000 | 2023 | Details |
Data Platform voor het MKBHet project ontwikkelt een AI/ML-softwareplatform voor MKB-ondernemingen om data-inzichten te verkrijgen en hun concurrentiepositie te verbeteren door dynamische aanpassingen aan lokale consumentenbehoeften. | Mkb-innovati... | € 298.900 | 2022 | Details |
Project POLIGEN-AI
Het project richt zich op het ontwikkelen van een betrouwbare "fact-based" chatbot om desinformatie te bestrijden en geïnformeerde beslissingen te ondersteunen, met aandacht voor technische en juridische haalbaarheid.
Haalbaalbaarheidsproject naar het ontwikkelen van netwerkanalyses met beleidsdata en kunstmatige intelligentie ten behoeve van politieke besluitvorming, monitoring en verantwoording
JoinSeven ontwikkelt een innovatief dataplatform dat met AI publieke tekstdata analyseert en structureert, om overheidsorganisaties te ondersteunen bij datagestuurde besluitvorming en transparantie.
Synthetiseren en verrijken van data voor datagedreven beleidsimplementaties
Syntho en Stichting AHTI ontwikkelen een gebruiksvriendelijk softwareplatform dat privacygevoelige gegevens tussen gemeenten veilig deelt en verrijkt, om datagedreven beleid en realtime inzichten te verbeteren.
POTENTaiLIZER
Het project onderzoekt de haalbaarheid van een AI-product, POTENTaiLIZER, om MKB-bedrijven te ondersteunen bij het optimaliseren van hun bedrijfsvoering via data-analyse en strategische tips.
Data Platform voor het MKB
Het project ontwikkelt een AI/ML-softwareplatform voor MKB-ondernemingen om data-inzichten te verkrijgen en hun concurrentiepositie te verbeteren door dynamische aanpassingen aan lokale consumentenbehoeften.