26 Works

Planning Degrowth: An explorative study into the value of a degrowth approach for sustainable urban planning in Amsterdam

Sustainable urban planning aims to decrease the ecological footprint of cities while maintaining or increasing social welfare, however it does not consider limits to economic growth and therefore undermines its own ambition. The upcoming field of degrowth offers a theoretical answer to this dilemma but the degrowth lens has only scarcely been applied to existing cities and the field of urban planning. This thesis addresses these gaps by exploring to what extent a growth mindset...

Urban Symbiosis of Building Materials in Amsterdam

The large growth of cities over the years has led to a greater resource demand in urban areas. Subsequently, after usage, those resources end up in large waste flows to be transferred to the outskirts of the city and its hinterlands. Moreover, those resources put high pressure on existing urban systems which have to deal with more complexity. An integration of systems is needed to move towards more sustainable cities. The construction sector can be...

A just heat transition: Assessing the future of heat supply in Amsterdam using an energy justice framework

Heat services are essential for all households in the Netherlands, because warmth is a basic need (Halse, 2008). Currently, this service is delivered to 95% of households in the Netherlands in the form of natural gas. The earthquakes in Groningen as a result of natural gas extraction have resulted in the fact that this exploitation will stop (S. E. Raad, 2018). For the reason of security of supply, the Netherlands prefers not to rely on...

Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data

Achilleas Psyllidis, Jie Yang & Alessandro Bozzon
Traditional methods for studying the activity dynamics of people and their social interactions in cities require time-consuming and resource-intensive observations and surveys. Dynamic online trails from geosocial networks (e.g. Twitter, Instagram, Flickr etc.) have been increasingly used as proxies for human activity, focusing on mobility behavior, spatial interaction, and social connectivity, among others. Social media records incorporate geo-tags, timestamps, textual components, user-profile attributes and points-of-interest (POI) features, which respectively address spatial, temporal, topical, demographic, and...

Human Aided Bots

Pavel Kucherbaev, Alessandro Bozzon &
A chatbot is an example of a text-based conversational agent. While natural language understanding and machine learning techniques have advanced rapidly, current fully automated chatbots still struggle to serve their users well. Human intelligence, brought by crowd workers, freelancers, or even full-time employees can be embodied in the chatbot logic to fill the gaps caused by limitations of fully automated solutions. In this paper, we investigate human-aided bots, i.e., bots (including chatbots) using humans in...

Approaches for Dialog Management in Conversational Agents

, Pavel Kucherbaev, Alessandro Bozzon &
Dialog agents, like digital assistants and automated chat interfaces (e.g., chatbots), are becoming more and more popular as users adapt to conversing with their devices as they do with humans. In this paper, we present approaches and available tools for dialog management (DM), a component of dialog agents that handles dialog context and decides the next action for the agent to take. In this paper, we establish an overview of the field of DM, compare...

Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data

Achilleas Psyllidis, Jie Yang & Alessandro Bozzon
Traditional methods for studying the activity dynamics of people and their social interactions in cities require time-consuming and resource-intensive observations and surveys. Dynamic online trails from geosocial networks (e.g. Twitter, Instagram, Flickr etc.) have been increasingly used as proxies for human activity, focusing on mobility behavior, spatial interaction, and social connectivity, among others. Social media records incorporate geo-tags, timestamps, textual components, user-profile attributes and points-of-interest (POI) features, which respectively address spatial, temporal, topical, demographic, and...

Chatterbox: Conversational Interfaces for Microtask Crowdsourcing

Panagiotis Mavridis, Owen Huang, , & Alessandro Bozzon
Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous experimental campaign aimed at gauging the interest and acceptance by crowdworkers for this type of work interface. We compared Web and conversational interfaces for five common microtask types and measured the execution time, quality of work,...

Bottom-up modelling of urban food-systems and their environmental impacts

The current food-system is highly unsustainable as it is responsible for up to 50% of all anthropogenic environmental pressure. Therefore, there is a need to transform the current food-system, in particular the demand-side. Cities form the agglomeration of food consumption with limited capacity for food production. Addressing urban consumption and the inherent environmental impacts are considered key factors for climate change mitigation. In order to develop sustainability strategies for a city, a baseline assessment of...

Human Aided Bots

Pavel Kucherbaev, Alessandro Bozzon &
A chatbot is an example of a text-based conversational agent. While natural language understanding and machine learning techniques have advanced rapidly, current fully automated chatbots still struggle to serve their users well. Human intelligence, brought by crowd workers, freelancers, or even full-time employees can be embodied in the chatbot logic to fill the gaps caused by limitations of fully automated solutions. In this paper, we investigate human-aided bots, i.e., bots (including chatbots) using humans in...

Effective crowdsourced generation of training data for chatbots natural language understanding

Alessandro Bozzon, & Pavel Kucherbaev
Chatbots are text-based conversational agents. Natural Language Understanding (NLU) models are used to extract meaning and intention from user messages sent to chatbots. The user experience of chatbots largely depends on the performance of the NLU model, which itself largely depends on the initial dataset the model is trained with. The training data should cover the diversity of real user requests the chatbot will receive. Obtaining such data is a challenging task even for big...

Chatterbox: Conversational Interfaces for Microtask Crowdsourcing

Panagiotis Mavridis, Owen Huang, , & Alessandro Bozzon
Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous experimental campaign aimed at gauging the interest and acceptance by crowdworkers for this type of work interface. We compared Web and conversational interfaces for five common microtask types and measured the execution time, quality of work,...

Planning Degrowth: An explorative study into the value of a degrowth approach for sustainable urban planning in Amsterdam

Sustainable urban planning aims to decrease the ecological footprint of cities while maintaining or increasing social welfare, however it does not consider limits to economic growth and therefore undermines its own ambition. The upcoming field of degrowth offers a theoretical answer to this dilemma but the degrowth lens has only scarcely been applied to existing cities and the field of urban planning. This thesis addresses these gaps by exploring to what extent a growth mindset...

Datacenters as residual heat source for district heating in residential neighbourhoods of Amsterdam

District heating is considered as an alternative heating system for the natural gas heating systems forhouseholds. The ability to heat and supply hot water to buildings of households is essential in cities and thetransition to an alternative is necessary due to the depletion of fossil fuels and limits on carbon dioxide percountry and cities since the Paris Climate Agreement. Fundamental in district heating is the conscious choice forthe usage of local heat resources that would...

Human Aided Bots

Pavel Kucherbaev, Alessandro Bozzon &
A chatbot is an example of a text-based conversational agent. While natural language understanding and machine learning techniques have advanced rapidly, current fully automated chatbots still struggle to serve their users well. Human intelligence, brought by crowd workers, freelancers, or even full-time employees can be embodied in the chatbot logic to fill the gaps caused by limitations of fully automated solutions. In this paper, we investigate human-aided bots, i.e., bots (including chatbots) using humans in...

Effective crowdsourced generation of training data for chatbots natural language understanding

Alessandro Bozzon, & Pavel Kucherbaev
Chatbots are text-based conversational agents. Natural Language Understanding (NLU) models are used to extract meaning and intention from user messages sent to chatbots. The user experience of chatbots largely depends on the performance of the NLU model, which itself largely depends on the initial dataset the model is trained with. The training data should cover the diversity of real user requests the chatbot will receive. Obtaining such data is a challenging task even for big...

Chatterbox: Conversational Interfaces for Microtask Crowdsourcing

Panagiotis Mavridis, Owen Huang, , & Alessandro Bozzon
Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous experimental campaign aimed at gauging the interest and acceptance by crowdworkers for this type of work interface. We compared Web and conversational interfaces for five common microtask types and measured the execution time, quality of work,...

A strategy for urban data. How to develop collaborative data projects - for citizens, urban innovators, researchers and policy makers

In collaboration with AMS Institute, Waag has produced a publication on urban data 'A strategy for urban data'. The publication proposes the foundation and directions for development of AMS Institute’s AMS Knowledge portal (https://knowledge.ams-institute.org) and draws upon the experiences of the DSI4EU project (https://digitalsocial.eu).
Many cities in Europe face major societal challenges in the areas of energy transition, climate adaptation, food security, mobility and social welfare. Solutions to these challenges are often so complex that collaboration...

Approaches for Dialog Management in Conversational Agents

, Pavel Kucherbaev, Alessandro Bozzon &
Dialog agents, like digital assistants and automated chat interfaces (e.g., chatbots), are becoming more and more popular as users adapt to conversing with their devices as they do with humans. In this paper, we present approaches and available tools for dialog management (DM), a component of dialog agents that handles dialog context and decides the next action for the agent to take. In this paper, we establish an overview of the field of DM, compare...

Bottom-up modelling of urban food-systems and their environmental impacts

The current food-system is highly unsustainable as it is responsible for up to 50% of all anthropogenic environmental pressure. Therefore, there is a need to transform the current food-system, in particular the demand-side. Cities form the agglomeration of food consumption with limited capacity for food production. Addressing urban consumption and the inherent environmental impacts are considered key factors for climate change mitigation. In order to develop sustainability strategies for a city, a baseline assessment of...

A just heat transition: Assessing the future of heat supply in Amsterdam using an energy justice framework

Heat services are essential for all households in the Netherlands, because warmth is a basic need (Halse, 2008). Currently, this service is delivered to 95% of households in the Netherlands in the form of natural gas. The earthquakes in Groningen as a result of natural gas extraction have resulted in the fact that this exploitation will stop (S. E. Raad, 2018). For the reason of security of supply, the Netherlands prefers not to rely on...

Approaches for Dialog Management in Conversational Agents

, Pavel Kucherbaev, Alessandro Bozzon &
Dialog agents, like digital assistants and automated chat interfaces (e.g., chatbots), are becoming more and more popular as users adapt to conversing with their devices as they do with humans. In this paper, we present approaches and available tools for dialog management (DM), a component of dialog agents that handles dialog context and decides the next action for the agent to take. In this paper, we establish an overview of the field of DM, compare...

Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data

Achilleas Psyllidis, Jie Yang & Alessandro Bozzon
Traditional methods for studying the activity dynamics of people and their social interactions in cities require time-consuming and resource-intensive observations and surveys. Dynamic online trails from geosocial networks (e.g. Twitter, Instagram, Flickr etc.) have been increasingly used as proxies for human activity, focusing on mobility behavior, spatial interaction, and social connectivity, among others. Social media records incorporate geo-tags, timestamps, textual components, user-profile attributes and points-of-interest (POI) features, which respectively address spatial, temporal, topical, demographic, and...

A strategy for urban data. How to develop collaborative data projects - for citizens, urban innovators, researchers and policy makers

In collaboration with AMS Institute, Waag has produced a publication on urban data 'A strategy for urban data'. The publication proposes the foundation and directions for development of AMS Institute’s AMS Knowledge portal (https://knowledge.ams-institute.org) and draws upon the experiences of the DSI4EU project (https://digitalsocial.eu).
Many cities in Europe face major societal challenges in the areas of energy transition, climate adaptation, food security, mobility and social welfare. Solutions to these challenges are often so complex that collaboration...

Urban Symbiosis of Building Materials in Amsterdam

The large growth of cities over the years has led to a greater resource demand in urban areas. Subsequently, after usage, those resources end up in large waste flows to be transferred to the outskirts of the city and its hinterlands. Moreover, those resources put high pressure on existing urban systems which have to deal with more complexity. An integration of systems is needed to move towards more sustainable cities. The construction sector can be...

Registration Year

  • 2020
    10
  • 2019
    16

Resource Types

  • Other
    16
  • Text
    10