Sachit Mahajan
Datos Biográficos
| ID | 6703465 |
|---|---|
| NOMBRE | Sachit Mahajan |
| NOMBRES | Sachit |
| APELLIDO | Mahajan |
| FIRMA | MAHAJAN S |
| AFILIACIONES | ETH Zurich |
| ORCID | 0000-0001-9558-8895 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 13 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 13 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2020 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Co-designing AI systems with value-sensitive citizen science
As AI systems increasingly influence everyday life, integrating diverse community values is both ethically essential and practically urgent. This paper presents Value-Sensitive Citizen Science (VSCS)—a systematic framework that combines Value-Sensitive Design (VSD) with citizen science to support meaningful public participation in AI development. VSCS addresses gaps in the existing approaches by integrating culturally grounded methods and cogniti…
Revisiting big data optimism
This paper critically examines the growing use of big data algorithms and AI in science, society, and public policy. While these tools are often introduced with the goal of increasing efficiency, the results do not always lead to greater empowerment or fairness for individuals or communities. Persistent issues such as bias, measurement error, and over-reliance on prediction can undermine success and produce outcomes that are neither fair nor tran…
The democratization dilemma
Artificial intelligence (AI) increasingly generates expert-level outputs across professional domains, fundamentally reshaping how expertise is created and shared in society. This transformation creates a pressing challenge: as AI democratizes access to sophisticated knowledge, the validation and contextualization of expertise require novel approaches to maintain trust and professional standards. Contemporary regulatory frameworks provide essentia…
The Executioner Paradox
As computational systems burgeon with advancing artificial intelligence (AI), the deterministic frameworks underlying them face novel challenges, especially when interfacing with self-modifying code. The Executioner Paradox, introduced herein, exemplifies such a challenge where a deterministic Executioner Machine (EM) grapples with self-aware and self-modifying code. This unveils a self-referential dilemma, highlighting a gap in current determini…
Human digital twins unlocking Society 5.0? Approaches, emerging risks and disruptions
Industry 5.0 and Healthcare 5.0 converge towards a human centered society, having technological advancement as a lever. In Society 5.0, decentralized autonomous cities and a convergence of physical and cyberspace are the foundations of the new chapter of society’s development. The idea of creating digital replicas and legitimate representatives of human beings in cyberspace has become a pillar of digitalization. Society 5.0 introduces Human Digit…
Democratizing air
Indoor air quality (IAQ) is crucial for public health, yet many remain unaware of indoor pollutants. Although Citizen Science has enhanced outdoor air quality understanding, its application to IAQ remains underexplored. This study introduces a new co-creation methodology that addresses key limitations in existing IAQ monitoring practices by integrating value-sensitive design principles and a ‘facilitated emergence’ paradigm. Through three co-crea…
Democracy by Design
Translating citizen-generated air quality data into evidence for shaping policy
The practice of participatory sensing for environment monitoring has rapidly evolved over the years. There has been a steady growth of citizen-based air quality monitoring projects that aim to build partnerships, knowledge-sharing platforms, awareness, and ultimately resilience to issues related to air quality. Whilst citizen science has reshaped air quality research by bringing a fresh perspective on democratizing science for the public good, th…
Participatory resilience
In the context of urbanization and a growing population, cities and citizens are becoming more exposed and vulnerable to social and environmental changes, ranging from natural disasters like earthquakes and floods to uncertainties caused by issues related to climate change and complex social dynamics or even pandemics. There have been many debates about implementing resilience thinking that allow cities and communities to prepare for possible str…
From Do-It-Yourself (DIY) to Do-It-Together (DIT)
Water, water, but not everywhere
The importance of water cannot be overstated. Not only it is essential for life, it is a vital resource for sustainable development. Water resource management is pivotal to ensure water security and sustainability. Having such water monitoring resources is challenging, especially in less developed countries that have limited resources. With the advancement in technology and availability of open-access satellite data, there are opportunities to re…
A citizen science approach for enhancing public understanding of air pollution
Evaluation of low-cost sensors for quantitative personal exposure monitoring
Sin obras prominentes en esta página.
A citizen science approach for enhancing public understanding of air pollution
Evaluation of low-cost sensors for quantitative personal exposure monitoring
From Do-It-Yourself (DIY) to Do-It-Together (DIT)
Water, water, but not everywhere
The importance of water cannot be overstated. Not only it is essential for life, it is a vital resource for sustainable development. Water resource management is pivotal to ensure water security and sustainability. Having such water monitoring resources is challenging, especially in less developed countries that have limited resources. With the advancement in technology and availability of open-access satellite data, there are opportunities to re…
Democracy by Design
Translating citizen-generated air quality data into evidence for shaping policy
The practice of participatory sensing for environment monitoring has rapidly evolved over the years. There has been a steady growth of citizen-based air quality monitoring projects that aim to build partnerships, knowledge-sharing platforms, awareness, and ultimately resilience to issues related to air quality. Whilst citizen science has reshaped air quality research by bringing a fresh perspective on democratizing science for the public good, th…
Participatory resilience
In the context of urbanization and a growing population, cities and citizens are becoming more exposed and vulnerable to social and environmental changes, ranging from natural disasters like earthquakes and floods to uncertainties caused by issues related to climate change and complex social dynamics or even pandemics. There have been many debates about implementing resilience thinking that allow cities and communities to prepare for possible str…
Human digital twins unlocking Society 5.0? Approaches, emerging risks and disruptions
Industry 5.0 and Healthcare 5.0 converge towards a human centered society, having technological advancement as a lever. In Society 5.0, decentralized autonomous cities and a convergence of physical and cyberspace are the foundations of the new chapter of society’s development. The idea of creating digital replicas and legitimate representatives of human beings in cyberspace has become a pillar of digitalization. Society 5.0 introduces Human Digit…
Democratizing air
Indoor air quality (IAQ) is crucial for public health, yet many remain unaware of indoor pollutants. Although Citizen Science has enhanced outdoor air quality understanding, its application to IAQ remains underexplored. This study introduces a new co-creation methodology that addresses key limitations in existing IAQ monitoring practices by integrating value-sensitive design principles and a ‘facilitated emergence’ paradigm. Through three co-crea…
The democratization dilemma
Artificial intelligence (AI) increasingly generates expert-level outputs across professional domains, fundamentally reshaping how expertise is created and shared in society. This transformation creates a pressing challenge: as AI democratizes access to sophisticated knowledge, the validation and contextualization of expertise require novel approaches to maintain trust and professional standards. Contemporary regulatory frameworks provide essentia…
The Executioner Paradox
As computational systems burgeon with advancing artificial intelligence (AI), the deterministic frameworks underlying them face novel challenges, especially when interfacing with self-modifying code. The Executioner Paradox, introduced herein, exemplifies such a challenge where a deterministic Executioner Machine (EM) grapples with self-aware and self-modifying code. This unveils a self-referential dilemma, highlighting a gap in current determini…
Co-designing AI systems with value-sensitive citizen science
As AI systems increasingly influence everyday life, integrating diverse community values is both ethically essential and practically urgent. This paper presents Value-Sensitive Citizen Science (VSCS)—a systematic framework that combines Value-Sensitive Design (VSD) with citizen science to support meaningful public participation in AI development. VSCS addresses gaps in the existing approaches by integrating culturally grounded methods and cogniti…
Revisiting big data optimism
This paper critically examines the growing use of big data algorithms and AI in science, society, and public policy. While these tools are often introduced with the goal of increasing efficiency, the results do not always lead to greater empowerment or fairness for individuals or communities. Persistent issues such as bias, measurement error, and over-reliance on prediction can undermine success and produce outcomes that are neither fair nor tran…
Computer Science (7 obras) · Political science (7 obras) · Engineering (6 obras) · Sociology (6 obras) · Air Quality Monitoring and Forecasting (5 obras) · Citizen science (5 obras) · Geography (5 obras) · Public relations (5 obras) · Air quality index (4 obras) · Citizen journalism (4 obras)