Vol 10, No 3 (2014)
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URBAN INFORMATICS COLLOQUIUM a Series of Papers and Discussions Examining Various Contemporary Intersections Between Urban Theory and Social Informatics
URBAN INFORMATICS COLLOQUIUM A series of papers and discussions examining various contemporary intersections between urban theory and social informatics Hosted by The Centre for the Study of Cities & Regions, Department of Geography Durham University & The Social Informatics Research Unit (SIRU), Department of Sociology University of York Sponsored by the ESRC e-Society Research Programme Friday 15 December 2006 - Saturday 16 December 2006 12:00pm - 5:00pm, Collingwood College, Durham DRAFT @ 9 November 2006 Day 1 Friday 15 December 12:00 – 13:15 Registration/Lunch 13:15 – 13:30 Welcome and Introduction Roger Burrows & Joe Painter Turn On/Tune Out: Miniaturisation, Mobilities and the Urban 13:30 – 14:30 Soundscape David Beer Charting the Ludodrome: the Hyperreal Urban Experiences of Video 14:30 – 15:30 Gamers Rowland Atkinson & Paul Willis (University of Tasmania) 15:30 – 16:00 Tea/Coffee Sentient Cities: Ubiquitous Computing and the Politics of Urban 16:00 – 17:00 Space Mike Crang & Steve Graham New Spaces of (Dis)engagement? Social Politics, Urban 17:00 – 18:00 Technologies and the Rezoning of the City Nick Ellison 18:00 – 19:30 Bar 19:30 Dinner Day 2 Saturday 16 December Data Construction in Urban Informatics: Applying Nicholas 09:00 – 10:00 Bateson’s Theory of Data Construction to Urban Simulation Emma Uprichard Public Cartographies of Knowing Capitalism and the Re-visualisation 10:00 – 11:00 of Places: A Challenged to empirical Society Michael Hardey & Roger Burrows 11:00 – 11:30 Tea/Coffee Homeless People, Mashups and Primary Keys: -
Urban Informatics
Center for Urban Science + Progress NYC'S LEADING GRADUATE PROGRAM IN URBAN INFORMATICS FULL-TIME MS • PART-TIME MS ADVANCED CERTIFICATE YOUR CITY. YOUR LAB. YOUR DATA REVOLUTION. OUR LABORATORY IS NEW YORK CITY. OUR MISSION IS HISTORIC. The Center for Urban Science and Progress With NYC as its laboratory and classroom, (CUSP) was created as a historic partnership New York University's CUSP uses advances with NYU, the City of New York, and other in data creation, storage, and analytics to academic and industrial partners to make investigate and answer such questions. These cities around the world more efficient, livable, activities are making NYU CUSP the world’s equitable, and resilient. By 2050, 66 percent leading authority in the emerging field of of the world’s population is projected to live urban informatics. in urban areas. How can rapidly growing cities CUSP’s impact-driven research and provide a high quality of life to citizens of educational programs examine complex every socioeconomic status? How will they urban issues and contribute practical effectively and efficiently deliver services, solutions for challenges facing New York address resource allocation, and increase City and growing cities worldwide. citizens’ access to green space? 1 • NYU TANDON SCHOOL OF ENGINEERING GRADUATE PROGRAMS AT NYU CUSP AN INTENSIVE ACADEMIC EXPERIENCE Graduate programs at NYU CUSP offer through internships and practicums that a unique, interdisciplinary, and cutting-edge enable students to be successful in a wide approach that links data science, statistics range of career trajectories. and analytics, and mathematics with complex Our rigorous programs are designed to urban systems, urban management, and prepare you for a rewarding and fulfilling policy. -
Social Informatics
Spring 2018 LIS 421 - Social Informatics FACULTY INFORMATION Colin Rhinesmith, Assistant Professor School of Library and Information Science email: [email protected] phone: (617) 521-2881 website: http://crhinesmith.com pronouns: he/him/his Office Hours: Fridays, 2-3pm, Room P-313C or by appointment. COURSE SUMMARY "Social Informatics" refers to the body of research and study that examines social aspects of computerization - including the roles of information technology in social and organizational change and the ways that the social organization of information technologies are influenced by social forces and social practices. This graduate seminar is for students interested in the influence of information technology in the human context, including cultural heritage, professional concerns, and social inequities. The course introduces some of the key concepts of social informatics and situates them into the view of varied perspectives including readers, librarians, computer professionals, authors, educators, publishers, editors, and the institutions that support them. COURSE MATERIALS All required readings are available in Moodle as PDF files or links to online articles. COURSE STRUCTURE Week Start Date: Friday Week End Date: Thursday Unless otherwise specified anything assigned should be completed no later than the start of class on Thursday of that week at 3:00pm ET. LIS-421 Social Informatics p. 1 Course Syllabus LEARNING OBJECTIVES Upon completion of the course, students will be able to: 1. Describe a variety of social, political, and economic contexts that shape information and communication technologies (ICTs) and their impact on society. 2. Demonstrate knowledge of social systems and how they interact with ICTs. 3. Discuss concepts that illuminate the intersections of race, class, gender, identity, ability, and ICTs. -
Community Informatics Conference 2011- Refereed Paper
CORE Metadata, citation and similar papers at core.ac.uk Provided by University of Brighton Research Portal CIRN Prato Community Informatics Conference 2011- Refereed Paper Community Informatics – the Purpose of Research and Practice: An applied interpretation Dr Peter Day Faculty of Arts, University of Brighton Abstract: This paper considers the purpose of community informatics and reflects critically on key questions relating to community informatics research and practice. The paper then proceeds by relating communications and, by association, community informatics to community development. This leads to a discussion to the relationship of community informatics with community voice and empowerment and how these can be supported through community learning. A model of community learning partnerships is presented before being applied to current community informatics research and practices in Kenya. Key words: Community development; community communications; community voice; community learning; community learning partnerships Introduction In the early days of the Community Informatics Research Network (CIRN), one of its founder members defined community informatics as “the application of information and communication technologies (ICTs) to enable community processes and the achievement of community objectives” (Gurstein, 2003a. p. 77). Several years later the following description – “the theory and practice of empowering communities with information and communication technologies” – is offered by the organisers as a means of contextualising -
Urban Informatics” Environment and Planning B: Urban Analytics and City Science
Special Issue on “Urban Informatics” Environment and Planning B: Urban Analytics and City Science This special issue will bring together state-of-the-art research that bridges urban science and emerging technologies, which will lead to advances in urban informatics and the practical domain of urban systems. The aim of this special issue is to publish original research and papers to stimulate discussions on recent trends in urban informatics. The wide availability of sensing technology and geo-big data provide new opportunities for gaining a deeper understanding of this type of knowledge with unprecedented resolutions. For instance, “much of our urban theory and data in the past has been about the low frequency city - how cities change over years and decades but to this we now add changes in seconds, minutes, hours days and so on” (Batty, 2013). In particular, “Many examples will cover this mix and essentially we need new theories and new models to handle many of these questions” (Batty, 2013). Thus, priorities will be given to full papers that focus on environmentally related techniques, tools, methodologies and policies. In this special issue, we would like to solicit innovative and original ideas on how advances in urban informatics can help and improve smart cities. In short, we are looking for innovative papers on urban informatics and smart cities. Topics include (but are not limited to): 1. Urban Sensing 2. Urban Big Data Infrastructure 3. Urban Computing 4. Urban Science and Systems 5. Urban Problems and Possible Solutions 6. Smart Cities Important Dates • October 31, 2019, submission deadline for full invited papers to Environment and Planning B special issue (submission details to be announced later). -
1 Principles of Urban Informatics Spring 2021 Instructor
Principles of Urban Informatics Spring 2021 Instructor: Stanislav Sobolevsky, [email protected] Teaching Assistants: Minyi He [email protected] Devashish Khulbe [email protected] In-person sessions: Thursday, 5:30-7:00pm (on the specified days), 370 Jay st, Auditorium 1201 Webinars: Wed 8:30-10am Weekly video lectures and lab materials published on NYU Classes by Monday Office hours with instructor and TA’s through zoom upon email request Course Description and Objectives. This course builds the foundation of the skill set and tools necessary to address urban analytics problems with urban data. It starts with basic computational skills, statistical analysis, good practices for data curation and coding, and further introduces a machine learning paradigm and a variety of common supervised and unsupervised learning tools used in urban informatics, including regression analysis, clustering and classification. After this class you should be able to formulate a question relevant to Urban Informatics, locate and curate an appropriate data set, identify and apply analytic approaches to answer the question, obtain the answer and assess it with respect to its certainty level as well as the limitations of the approach and the data. The course will also contain project-oriented practice in urban informatics, including relevant soft skills – verbal and written articulation of the problem statement, approach, achievements, limitations and implications. The course heavily relies on Python on the implementation end and understanding of probability concepts on the theoretic end. However, it is not a course in programming, statistics, econometrics, or computer science per se. Rather, it is a practice-oriented synthesis of these disciplines with strong urban focus — concepts and techniques are motivated and illustrated by applications to urban problems and datasets, illustrated by iPython notebooks. -
The Capability Approach Community Informatics
The Information Society,30:200–211,2014 Published with license by Taylor & Francis ISSN: 0197-2243 print / 1087-6537 online DOI: 10.1080/01972243.2014.896687 The Capability Approach Community Informatics Larry Stillman and Tom Denison Faculty of Information Technology, Monash University, Caulfield East, Victoria, Australia In order to provide some orientation to sociological This article integrates key theories and concepts associated with thinking, two relevant ideas in sociology or social theory the Capability Approach to community informatics (CI), a domain are considered: first, what is known as “Grand Theory,” of sociotechnical theory and practice concerned to improve the particularly identified with the work of the American Tal- lives of people in need. While the social value propositions for com- cott Parsons (Parsons 1951), though familiar in the Euro- munity informatics are useful for orienting pragmatic research pean tradition (Skinner 1985), and second, “theories of the and practice, they are currently not well considered theoretically. middle-range,” associated with the work of Robert Merton Sociological theory is therefore explored to provide a stronger an- (Merton 1968). These provide a context for considering chor to community informatics as compared to the narrower the- the CA as a robust form of sociological theory with con- oretical agenda of information systems. Within this framework, siderable relevance to CI. the Capability Approach is identified as one example of a strong Grand Theory as developed by Parsons is identified with social theory with potential for adaptation into community infor- matics. This would have several effects, including strengthening the search for systematic and very-large-scale analytical internal theory, and building capacity to engage in stronger dia- and explanatory theories of human order (Parsons 1951). -
Integrating and Validating Urban Simulation Models 3 Els
FRCCS 2021: French Regional Conference on Complex Systems Integrating and validating urban simulation models Juste Raimbault Abstract Urban systems are intrinsically complex, involving different dimen- sions and scales, and consequently various approaches and scientific disciplines. In that context, urban simulation models have been coined as essential for the construction of evidence-based and integrated urban sciences. This review and position paper synthesises previous work focused on coupling and integrating urban models on the one hand, and exploring and validating such simulation models on the other hand. These research directions are complementary basis for a research program towards the development of integrated urban theories, with some application perspectives to sustainable territorial planning. Keywords Urban simulation models · Model coupling · Model validation · Sustainable territorial policies 1 Introduction Cities, and more generally urban and territorial systems, are highly complex to understand, manage and plan. They imply imbricated scales, from the intra- urban microscopic scales with individual agents such as household or com- panies, through the intermediate mesoscopic scale of the urban area, to the macroscopic scale of systems of cities [1]. Many different dimensions and view- points can be considered as an entry into urban issues, and several disciplines relate to emerging urban sciences [2], including urban economics, urban geog- raphy, planning and design. Complexity approaches to cities are therefore a relevant interdisciplinary take into urban systems [3]. Furthermore, the question of sustainable cities and territories is crucial in terms of policy application of urban sciences, especially in the current context of global change and pressing need for sustainable transitions. Cities can be in that context as much an issue than a solution, and models with sufficient endo- geneity can help to anticipate their dynamics. -
Jason I. Hong
Jason I. Hong Human Computer Interaction Institute Office: +1 412 268 1251 School of Computer Science Fax: +1 412 268 1266 Carnegie Mellon University Email: jasonh at cs cmu edu 5000 Forbes Ave Web: http://www.cs.cmu.edu/~jasonh 3523 Newell Simon Hall GScholar: https://scholar.google.com/citations?user=MoFbcc0AAAAJ Pittsburgh, PA 15213‐3891 Citizenship: USA ORCID: http://orcid.org/0000‐0002‐9856‐9654 Research Interests In the near future, our smart devices will know almost everything about us. How can we make use of all of this rich sensor and behavioral data to improve our lives? At the same time, this same data poses many new kinds of risks. How can we make privacy and security easily understandable by people who are not experts? How can we ensure that machine learning models built on this data is fair, accountable, transparent, and ethical? In my research, I draw on ideas and methods from human‐computer interaction, systems, behavioral sciences, and machine learning. Most of my current work centers on smartphones and the emerging Internet of Things. I also make use of data from crowdsourcing or social media, both to better understand people’s behaviors as well as to “outsource” the labor required to manage privacy and security. Education 2005 Ph.D., Computer Science, University of California at Berkeley Advisor: James Landay Thesis topic: An Architecture for Privacy‐Sensitive Ubiquitous Computing 1997 B.S., Discrete Mathematics, Georgia Institute of Technology Highest honors 1997 B.S., Computer Science, Georgia Institute of Technology -
Konstantin Klemmer Phd Student in Urban Informatics & Data Science
Konstantin Klemmer PhD student in Urban Informatics & Data Science University of Warwick & New York University London, United Kingdom www.konstantinklemmer.github.io – [email protected] www.github.com/konstantinklemmer Education Machine Learning for Good (ML4G) Lab, New York University, Brooklyn, NY, USA 07/2018 – present ▪ Visiting PhD student ▪ Emphasis: Novel methods for identification of and learning from spatial patterns in urban data ▪ Supervision: Professor Daniel Neill AI4EO Lab, Technical University of Munich & DLR, Munich, Germany 11/2020 – 04/2021 ▪ Beyond Fellow ▪ Emphasis: Geo-spatial machine learning and remote sensing ▪ Supervision: Xiaoxiang Zhu Alan Turing Institute, London, United Kingdom 10/2018 – 09/2019 ▪ Enrichment Student (Visiting PhD student) EPSRC Centre for Doctoral Training – Urban Science & Department of Computer 10/2017 – 09/2021 Science, University of Warwick, Coventry, United Kingdom ▪ Urban Science, MPhil/PhD ▪ Emphasis: Geo-spatial machine learning for urban decision and policy making ▪ Supervision: Stephen Jarvis (U Birmingham, UK), Daniel Neill (NYU, US), Hongkai Wen (U Warwick, UK & Samsung AI) Imperial College London and University College London, London, United 10/2016 – 09/2017 Kingdom ▪ Transport and Business Management, MSc with Distinction (grade: 72/100) ▪ Emphasis: Quantitative methods and statistics, transport modelling ▪ Thesis: Isolating the effect of cycling on local business environments in cities (74/100) Albert-Ludwigs-University, Freiburg, Germany 10/2012 – 02/2016 ▪ Economics, -
Community Informatics Studio
Community Informatics Studio: Designing Experiential Learning to Support Teaching, Research, and Practice Martin Wolske Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel St., Champaign, IL 61820 Email: [email protected] Colin Rhinesmith Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, Email: [email protected] Beth Kumar University of Colorado Colorado Springs, Email: [email protected] This paper introduces a model of experiential learning to support teaching, research, and practice in library and information science (LIS). The concept we call Community Informatics (CI) Studio uses studio-based learning (SBL) to support enculturation into the field of CI. The SBL approach, closely related to John Dewey’s inquiry-based learn- ing, is rooted in the apprenticeship model of learning in which students study with mas- ter designers or artists to develop their craft. Our paper begins with a review of literature to frame our research before introducing our analysis of the CI Studio course. Using the first three semesters of the course as case studies, the goal of the paper was to pres- ent three related investigations that emerged from our over-arching research question: How can the CI Studio be understood as a model of experiential learning to support LIS teaching, research, and practice? Keywords: community informatics, studio-based learning, experiential learning, com- munity engagement, popular education Introduction 1999). In this paper, we argue that the CI Studio provides a novel research approach his paper introduces a model of expe- for examining LIS-led community en- Triential learning to support teaching, gagement by modeling actual learning en- research, and practice in library and infor- vironments where future LIS professionals mation science (LIS). -
URP 535: Introduction to Urban Informatics Fall 2017
URP 535: Introduction to Urban Informatics Fall 2017 Course Staff and Schedule Instructor: Prof. Robert Goodspeed ([email protected]) Office: 2384 Taubman Wing, Art & Architecture Building Office Hours: T/Th 3:00-4:00 PM (sign up via Canvas link) Website: https://umich.instructure.com/courses/179552 Class times: T&Th 1:00 – 2:30 PM, Room 2210, Art & Architecture Building Summary This course provides students an introduction to the technical and applied dimensions of the emerging field of urban informatics, an interdisciplinary field of research and practice that uses information technology for the analysis, management, planning, inhabitation, and usability of cities. Given these diverse application areas, the course is centered on a series of technical lectures and hands-on labs which are designed to build on the knowledge typically covered in a standard course in statistics. Technical topics covered includes databases, SQL, web-based mapping and basic spatial data analysis. Seminar and lecture sessions cover topics related to the context and practice models associated with urban technologies, including civic technology, indicators, smart cities, and performance management. Students have an opportunity to explore innovative practice or implement a technical analysis through a class project. Prerequisite: Introductory course in statistics or quantitative methods, does not require programming or geographic information systems (GIS) background. Learning Objectives Apply technical skills of data analysis, including creating a database, conducting an analysis utilizing SQL queries, and creating a web-based visualization and spatial analysis. Analyze the ethical implications of new urban technologies and develop responses to professional ethical situations in urban informatics. Create a novel analysis OR evaluate an emerging practice model associated with urban informatics.