This paper was presented at the 'Towards a Magna Carta for Data' workshop at the RDS in Dublin, Sept 17th. It discusses how considerations of the ethics of big data consist of much more than the issues of privacy and security that it often gets boiled down to, and argues that the various ethical issues related to big data are multidimensional and contested; vary in nature across domains, and which ethical philosophy is adopted matters to the deliberation over data rights.
The ethics and risks of urban big data and smart citiesrobkitchin
This slidedeck provides a brief introduction to the ethics and risks associated with urban big data and smart cities and was presented at the launch of the Institute for Data, Systems and Society at MIT, Sept 2016
The Real-Time City? Data-driven, networked urbanism and the production of sm...robkitchin
Keynote talk presented at IGU Urban conference in Dublin, August 9th. The paper discusses the transition from data-informed to data-driven, smart cities and the impact of such a transition on city governance and wider society.
A short set of slides that accompanied my thoughts as a discussant on papers presented at the alt.conference on Big Data at the Conference of the Association of American Geographers, Tampa, April 8-12, 2014
The ethics of urban big data and smart citiesrobkitchin
This presentation discusses the ethical, privacy and security implications of urban big data and smart city technologies and forwards a set of potential solutions for minimizing harms.
Big data and smart cities: Key data issuesrobkitchin
This presentation was delivered at the first meeting of the Irish Government Data Forum, July 14th 2015. It was designed to provide an overview of key data issues related to smart cities in order to set the scene for a discussion about the kinds of data issues the forum might explore across a range of domains.
Over the past three decades city infrastructure and services have increasingly become digitally networked, programmable and data-driven. Moreover, citizens now regularly use mobile spatial media to mediate their spatial behavior and urban experiences and share information via crowdsourced platforms. As a result we are ever more living in the era of smart urbanism — city systems can be operationally managed dynamically using algorithms processing urban big data, citizens can access and contribute live information about the city, and planners and policy makers can redeploy new streams of data to model and plan the city with increasing granularity. The development of smart urbanism poses opportunities and challenges for urban planning, reshaping how we come to know and govern cities, and this talk will examine these drawing on research conducted in Boston and Dublin.
Slides from the Privacy: Insights from Lawyers and Technologiest at Maynooth University, July 1st 2015. The talk argues that privacy is multidimensional in nature; notions and practices of privacy are changing rapidly; has all kinds of direct and indirect effects; technology and industry are running ahead of legislators; there is no teleological inevitability to the emerging privacy landscape; it is incumbent on states to address privacy issues and to find a balance with respect to interests of citizens, states and industry.
This slide set examines the contention that opening data is an inherently good thing - that the case for open data is an open and shut case. It sets out a contrary view that whilst open data is desirable, much more critical thinking is required as to what this means in practice and the possible negative implications of opening data, and calls for a wider debate about the relative merits and politics of open data and how we go about opening data.
The ethics and risks of urban big data and smart citiesrobkitchin
This slidedeck provides a brief introduction to the ethics and risks associated with urban big data and smart cities and was presented at the launch of the Institute for Data, Systems and Society at MIT, Sept 2016
The Real-Time City? Data-driven, networked urbanism and the production of sm...robkitchin
Keynote talk presented at IGU Urban conference in Dublin, August 9th. The paper discusses the transition from data-informed to data-driven, smart cities and the impact of such a transition on city governance and wider society.
A short set of slides that accompanied my thoughts as a discussant on papers presented at the alt.conference on Big Data at the Conference of the Association of American Geographers, Tampa, April 8-12, 2014
The ethics of urban big data and smart citiesrobkitchin
This presentation discusses the ethical, privacy and security implications of urban big data and smart city technologies and forwards a set of potential solutions for minimizing harms.
Big data and smart cities: Key data issuesrobkitchin
This presentation was delivered at the first meeting of the Irish Government Data Forum, July 14th 2015. It was designed to provide an overview of key data issues related to smart cities in order to set the scene for a discussion about the kinds of data issues the forum might explore across a range of domains.
Over the past three decades city infrastructure and services have increasingly become digitally networked, programmable and data-driven. Moreover, citizens now regularly use mobile spatial media to mediate their spatial behavior and urban experiences and share information via crowdsourced platforms. As a result we are ever more living in the era of smart urbanism — city systems can be operationally managed dynamically using algorithms processing urban big data, citizens can access and contribute live information about the city, and planners and policy makers can redeploy new streams of data to model and plan the city with increasing granularity. The development of smart urbanism poses opportunities and challenges for urban planning, reshaping how we come to know and govern cities, and this talk will examine these drawing on research conducted in Boston and Dublin.
Slides from the Privacy: Insights from Lawyers and Technologiest at Maynooth University, July 1st 2015. The talk argues that privacy is multidimensional in nature; notions and practices of privacy are changing rapidly; has all kinds of direct and indirect effects; technology and industry are running ahead of legislators; there is no teleological inevitability to the emerging privacy landscape; it is incumbent on states to address privacy issues and to find a balance with respect to interests of citizens, states and industry.
This slide set examines the contention that opening data is an inherently good thing - that the case for open data is an open and shut case. It sets out a contrary view that whilst open data is desirable, much more critical thinking is required as to what this means in practice and the possible negative implications of opening data, and calls for a wider debate about the relative merits and politics of open data and how we go about opening data.
Urban indicators, city benchmarking, and real time dashboards: Knowing and go...robkitchin
Talk presented at the Conference of the Association of American Geographers, Tampa, April 8-12. First attempt at presenting a paper presently being written for publication.
Paper presented at Code Acts in Education, an ESRC seminar at the University of Stirling, January 28th 2014, http://codeactsineducation.wordpress.com/seminars/
Smart Cities and Big Data - Research Presentationannegalang
Research presentation on smart cities (sensor technology) and big data, presented in a graduate course I took on Transmedia Design and Digital Culture.
After analysing the key AI technologies that can be applied in the public sector, the course gives an overview of potential applications (e.g. chatbots, intelligent agents, decision making algorithms, machine learning systems, etc) in various European countries and sectors of the economy. Furthermore, the aims, the benefits and the possible challenges and risks of such applications are being presented, together with the means for risk mitigation. The course also presents the main initiatives for promoting , monitoring and regulating the use of artificial intelligence in the public sector, in Europe and the world.
Introduction to the Programmable City ProjectProgCity
Rob Kitchin, PI Programmable City Project, NIRSA, NUIM
An overview of The Programmable City project, the ideas underpinning the research and the prospective case studies.
Tracey P. Lauriault (Programmable City team)
A genealogy of open data assemblages
Abstract: Evidence informed decision making, participatory public policy, government transparency and accountability, sustainable development, and data driven journalism were the initial drivers of making public data accessible. The access work of geomaticians, researchers, librarians, community developers and journalists has recently been recast as open data that includes a different set of actors. As open data matures as a practice, its principles, definitions and guidelines have been transformed into national performance indicators such as indexes, barometers, ratings and score cards; the private sector such as Gartner, McKinsey, and Deloitte are touting open data's innovation and business opportunities; while smart city initiatives offer tools and expertise to help government sense, monitor, measure and evaluate their cities. Open data today seems to have evolved far from its original ideals, even with civil society players such as Markets for Good, Sunlight Foundation, Open Knowledge Foundation, Code for America, and many others advocating for more social approaches. This talk proposes an assemblage approach to understanding open data and provides a genealogy of its development in different contexts and places.
Bio: Tracey P. Lauriault is a Programmable City Project Postdoctoral Researcher focussing on How are digital data generated and processed about cities and their citizens? She arrives from Canada where she was a researcher with the Geomatics and Cartographic Research Centre, at Carleton University, where she investigated Data, Infrastructures and Geographical Imaginations, spatial data infrastructures, open data and the preservation of and access to research and geomatics data; legal and policy issues associated with geospatial, administrative and civil society data; and cybercartography. She is a a member of the international Research Data Alliance Legal (RDA) Interoperability Working Group, the Natural Resources Canada Roundtable on Geomatics Legal and Policy Interest Group. She is also actively engaged in public policy research as it pertains to open data and their related infrastructures.
Talk presented at TILT, Tilburg University, Netherlands, 14th March 2019. Relates to the book: Cardullo, P., di Feliciantonio, C. and Kitchin, R. (eds) (2019, June, in press) The Right to the Smart City. Emerald.
Cities around the world are pursuing a smart cities agenda in which digital technologies are used to manage cities. In general, these initiatives are promoted and rolled-out by governments and corporations and enact various forms of top-down, technocratic governance and reproduce neoliberal governmentality. Despite calls for the smart city agenda to be more citizen-centric and bottom-up in nature, how this translates into policy and initiatives is still weakly articulated and practiced. Indeed, there is little meaningful engagement by key stakeholders with respect to rights, citizenship, social justice, commoning, civic participation, co-creation, ethics, and how the smart city might be productively reimagined and remade. This talk advocates for the Right to the Smart City and considers how to produce a genuinely humanizing smart urbanism, both with respect to setting out a normative vision for smart cities rooted in ideas of fairness, equity, care, democracy and the public good, and enacting this vision through citizen-centric tactics.
A Quintessential smart city infrastructure framework for all stakeholdersJonathan L. Tan, M.B.A.
Smart City Infrastructure Framework provides guidance to open government data and infrastructure essentials for ICT \ Telecom, Energy \ Renewable Energy, Water \ Waste Water, Transportation, Education, Health and Government Services systems
I. Smart City Drivers
Smart City Definition
Smart City Elements
II. Smart City Infrastructure Frameworks
III. Technology Ecosystem
Stakeholders
ICT Essentials
OGD
ICT for Building Automation
Smart Water
Smart Energy
Smart Transportation
Smart Education
Smart Healthcare
Smart City Services
IV. Smart City Applications
V. Smart City Systems Infrastructure
Top SC Vendors
The presentation at MCIS Corfu (look for the title in AIS library, for the full paper). "EU-Wide Legal Text Mining using Big Data Processsing Infrastructures"
Data-driven urbanism (Amsterdam, Jan 2017)robkitchin
This talk details the shift from data-informed urbanism to data-driven urbanism, the use of urban big data and smart city technologies in urban governance, and outlines various concerns and critiques.
Big data, new epistemologies and paradigm shiftsrobkitchin
This presentation examines how the availability of Big Data, coupled with new data analytics, challenges established epistemologies across the sciences, social sciences and humanities, and assesses the extent to which they are engendering paradigm shifts across multiple disciplines.
Urban indicators, city benchmarking, and real time dashboards: Knowing and go...robkitchin
Talk presented at the Conference of the Association of American Geographers, Tampa, April 8-12. First attempt at presenting a paper presently being written for publication.
Paper presented at Code Acts in Education, an ESRC seminar at the University of Stirling, January 28th 2014, http://codeactsineducation.wordpress.com/seminars/
Smart Cities and Big Data - Research Presentationannegalang
Research presentation on smart cities (sensor technology) and big data, presented in a graduate course I took on Transmedia Design and Digital Culture.
After analysing the key AI technologies that can be applied in the public sector, the course gives an overview of potential applications (e.g. chatbots, intelligent agents, decision making algorithms, machine learning systems, etc) in various European countries and sectors of the economy. Furthermore, the aims, the benefits and the possible challenges and risks of such applications are being presented, together with the means for risk mitigation. The course also presents the main initiatives for promoting , monitoring and regulating the use of artificial intelligence in the public sector, in Europe and the world.
Introduction to the Programmable City ProjectProgCity
Rob Kitchin, PI Programmable City Project, NIRSA, NUIM
An overview of The Programmable City project, the ideas underpinning the research and the prospective case studies.
Tracey P. Lauriault (Programmable City team)
A genealogy of open data assemblages
Abstract: Evidence informed decision making, participatory public policy, government transparency and accountability, sustainable development, and data driven journalism were the initial drivers of making public data accessible. The access work of geomaticians, researchers, librarians, community developers and journalists has recently been recast as open data that includes a different set of actors. As open data matures as a practice, its principles, definitions and guidelines have been transformed into national performance indicators such as indexes, barometers, ratings and score cards; the private sector such as Gartner, McKinsey, and Deloitte are touting open data's innovation and business opportunities; while smart city initiatives offer tools and expertise to help government sense, monitor, measure and evaluate their cities. Open data today seems to have evolved far from its original ideals, even with civil society players such as Markets for Good, Sunlight Foundation, Open Knowledge Foundation, Code for America, and many others advocating for more social approaches. This talk proposes an assemblage approach to understanding open data and provides a genealogy of its development in different contexts and places.
Bio: Tracey P. Lauriault is a Programmable City Project Postdoctoral Researcher focussing on How are digital data generated and processed about cities and their citizens? She arrives from Canada where she was a researcher with the Geomatics and Cartographic Research Centre, at Carleton University, where she investigated Data, Infrastructures and Geographical Imaginations, spatial data infrastructures, open data and the preservation of and access to research and geomatics data; legal and policy issues associated with geospatial, administrative and civil society data; and cybercartography. She is a a member of the international Research Data Alliance Legal (RDA) Interoperability Working Group, the Natural Resources Canada Roundtable on Geomatics Legal and Policy Interest Group. She is also actively engaged in public policy research as it pertains to open data and their related infrastructures.
Talk presented at TILT, Tilburg University, Netherlands, 14th March 2019. Relates to the book: Cardullo, P., di Feliciantonio, C. and Kitchin, R. (eds) (2019, June, in press) The Right to the Smart City. Emerald.
Cities around the world are pursuing a smart cities agenda in which digital technologies are used to manage cities. In general, these initiatives are promoted and rolled-out by governments and corporations and enact various forms of top-down, technocratic governance and reproduce neoliberal governmentality. Despite calls for the smart city agenda to be more citizen-centric and bottom-up in nature, how this translates into policy and initiatives is still weakly articulated and practiced. Indeed, there is little meaningful engagement by key stakeholders with respect to rights, citizenship, social justice, commoning, civic participation, co-creation, ethics, and how the smart city might be productively reimagined and remade. This talk advocates for the Right to the Smart City and considers how to produce a genuinely humanizing smart urbanism, both with respect to setting out a normative vision for smart cities rooted in ideas of fairness, equity, care, democracy and the public good, and enacting this vision through citizen-centric tactics.
A Quintessential smart city infrastructure framework for all stakeholdersJonathan L. Tan, M.B.A.
Smart City Infrastructure Framework provides guidance to open government data and infrastructure essentials for ICT \ Telecom, Energy \ Renewable Energy, Water \ Waste Water, Transportation, Education, Health and Government Services systems
I. Smart City Drivers
Smart City Definition
Smart City Elements
II. Smart City Infrastructure Frameworks
III. Technology Ecosystem
Stakeholders
ICT Essentials
OGD
ICT for Building Automation
Smart Water
Smart Energy
Smart Transportation
Smart Education
Smart Healthcare
Smart City Services
IV. Smart City Applications
V. Smart City Systems Infrastructure
Top SC Vendors
The presentation at MCIS Corfu (look for the title in AIS library, for the full paper). "EU-Wide Legal Text Mining using Big Data Processsing Infrastructures"
Data-driven urbanism (Amsterdam, Jan 2017)robkitchin
This talk details the shift from data-informed urbanism to data-driven urbanism, the use of urban big data and smart city technologies in urban governance, and outlines various concerns and critiques.
Big data, new epistemologies and paradigm shiftsrobkitchin
This presentation examines how the availability of Big Data, coupled with new data analytics, challenges established epistemologies across the sciences, social sciences and humanities, and assesses the extent to which they are engendering paradigm shifts across multiple disciplines.
Praxis and politics of urban data: Building the Dublin Dashboardrobkitchin
This paper was presented at the Association of American Geographers meeting in Chicago, April 22nd 2015.
This paper critically reflects on the building of the Dublin Dashboard (www.dublindashboard.ie) from the perspective of critical data studies. The Dashboard is a website that provides citizens, planners, policy makers and companies with an extensive set of data and data visualizations about Dublin City, including real-time information, indicator trends, inter and intra-urban benchmarking, interactive maps, the location of services, and a means to directly report issues to city authorities. The data used in the Dashboard is open and available for others to build their own apps. One member of the development team was an ethnographer who attended meetings, observed and discussed with key actors the creation of the Dashboard and its attendant praxis and politics up to the point of its launch in September 2014. This paper draws on that material to consider the contextual, contingent, iterative and relational unfolding of the Dashboard and the emergent politics of data and design. In so doing, it reveals the contested and negotiated politics of smart city initiatives.
Rob Kitchin Smart Cities 08th March 2016 (Smart Dublin)Mainard Gallagher
Rob Kitchin is a Professor and ERC Advanced Investigator in the National Institute of Regional and Spatial Analysis at Maynooth University, for which he was director between 2002 and 2013. He is one of Ireland's leading social scientists and was the 2013 recipient of the Royal Irish Academy's Gold Medal for the Social Sciences and received the Association of American Geographers ‘Meridian Book Award’ for the outstanding book in the discipline in 2011.
Interactive Data Science From Scratch with Apache Zeppelin and Apache Sparkfelixcss
Apache: Big Data North America 2016 session
How do you find the needle in the haystack?
With Big Data, finding insight is a big problem. Visualization and exploratory analysis help convert on insights and Apache Zeppelin (incubating) is an essential tool for that.
In this tutorial, Felix Cheung will introduce you to Apache Zeppelin, and provide step-by-step guides to get you up-and-running with Apache Zeppelin to run Big Data analysis with Apache Spark.
This is going to be a heavily hands-on session, no previous experience with Zeppelin, Data Science, or Statistics necessary.
Intro to Big Data Analytics using Apache Spark and Apache ZeppelinAlex Zeltov
This workshop will provide an introduction to Big Data Analytics using Apache Spark and Apache Zeppelin.
https://github.com/zeltovhorton/intro_spark_zeppelin_meetup
There will be a short lecture that includes an introduction to Spark, the Spark components.
Spark is a unified framework for big data analytics. Spark provides one integrated API for use by developers, data scientists, and analysts to perform diverse tasks that would have previously required separate processing engines such as batch analytics, stream processing and statistical modeling. Spark supports a wide range of popular languages including Python, R, Scala, SQL, and Java. Spark can read from diverse data sources and scale to thousands of nodes.
The lecture will be followed by demo . There will be a short lecture on Hadoop and how Spark and Hadoop interact and compliment each other. You will learn how to move data into HDFS using Spark APIs, create Hive table, explore the data with Spark and SQL, transform the data and then issue some SQL queries. We will be using Scala and/or PySpark for labs.
Mobile Devices: Systemisation of Knowledge about Privacy Invasion Tactics and...CREST
This presentation reviews privacy concerns for mobile devices and outlines the importance of privacy engineering in ensuring users have safe access to their devices.
Privacy Secrets Your Systems May Be TellingRebecca Leitch
Privacy has overtaken security as a top concern for many organizations. New laws such as GDPR come with steep fines and stringent rules, and more are certainly to come. Attend this webcast to learn how everyday business operations put customer privacy data at risk. More importantly understand best practices on protecting this data and dealing with disclosure requirements. Topics include:
* Types of privacy and threats to them
* How is privacy different than security?
* Business systems putting you most at risk
Privacy has overtaken security as a top concern for many organizations. New laws such as GDPR come with steep fines and stringent rules, and more are certainly to come. Attend this webcast to learn how everyday business operations put customer privacy data at risk. More importantly understand best practices on protecting this data and dealing with disclosure requirements. Topics include:
* Types of privacy and threats to them
* How is privacy different than security?
* Business systems putting you most at risk
What should organizations be concerned about when using Machine Learning for Predictive Modeling techniques? Divergence Academy and Divergence.AI are leading efforts to bring Algorithmic Accountability awareness to masses.
This presentation is prepared by Author for Perbanas Institute as a part of Author Lecture Series. It is to be used for educational and non-commercial purposes only and is not to be changed, altered, or used for any commercial endeavor without the express written permission from Author and/or Perbanas Institute. Appropriate legal action may be taken against any person, organization, or entity attempting to misrepresent, charge, or profit from the educational materials contained here.
Authors are allowed to use their own articles without seeking permission from any person, organization, or entity.
When Past Performance May Be Indicative of Future Results - The Legal Implica...Jason Haislmaier
Presentation to the ABA Cyberspace Law Committee 2014 Winter Meeting in Denver, CO. Bruce Antley and Jason Haislmaier. Covering legal issues in location based services and the use of predictive analytics.
The General Data Protection Regulation (GDPR) becomes enforceable at the end of May, 2018. Designed to strengthen and unify data protection for individuals within the European Union (EU), it comes with a strict set of compliance protocols. And, because GDPR also applies to the export of the export of personal data outside the EU, it is applicable to any entity that uses or exchanges this data. As Vice President and Senior Legal Counsel for a leading international bank, Paul knows firsthand the importance of protecting and securing customer data and intelligence. Join Paul to learn about responsibilities and accountabilities that your organization will need to address.
Big data refer to the ongoing accumulation of massive, often complex and always-changing data sets – for instance, machine-generated data from sensors or cell phone GPS signals. Or it may be data from social media sites.
Open data are data sets made available to the public to use and reuse. Those sets may come from Big Data but they don’t have to.The act of opening data is like extending an invitation to anyone to freely take the data and turn it into something useful.
Prof George Alter, UMich, ICPSR, presenting at the Managing and publishing sensitive data in the Social Sciences webinar on 29/3/17.
FULL webinar recording: https://youtu.be/7wxfeHNfKiQ
Webinar description:
2) Prof George Alter, (Research Professor, ICPSR and Visiting Professor, ANU) George will share the benefit of over 50 years of experience in managing sensitive social science data in the ICPSR: https://www.icpsr.umich.edu/icpsrweb/
More about ICPSR: -- ICPSR (USA) maintains a data archive of more than 250,000 files of research in the social and behavioral sciences. It hosts 21 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields. -- ICPSR collaborates with a number of funders, including U.S. statistical agencies and foundations, to create thematic collections: see https://www.icpsr.umich.edu/icpsrweb/content/about/thematic-collections.html
Lessons in privacy engineering from a nation scale identity system - connect idDavid Kelts, CIPT
Everybody wants to achieve privacy by design? But how do you do that? This slideshare will show you how. What is privacy? What thought processes will bring about understanding of the security measures to take in order to ensure your users privacy?
This paper examines issues that are impeding the roll-out of smart city initiative and challenges the ideas, ideals and ideology of smart cities as presently conceived.
Citizenship, social justice, and the Right to the Smart Cityrobkitchin
This presentation was delivered at the Right to the Smart City workshop at Maynooth University, Sept 5-6 2017. It sets out a set of questions and theoretical concepts for thinking through issues of citizenship, social justice, and the right to the smart city.
Being a ‘citizen’ in the smart city: Up and down the scaffold of smart citize...robkitchin
This paper discusses the issue of citizens’ participation and rights in the smart city. It does so by drawing on and extending Sherry Arnstein’s seminal work (1969) conceptualising participation in planning and renewal programmes. We argue that citizenship in the smart city is rooted in a pragmatic and paternalistic discourse and practice, rather than in theories around rights and citizenship. Promoters of smart cities, including those advocating a citizen-centric version, tend to conflate limited forms of engagement as a user or consumer of services with citizenship and rights. We develop a modified version of Arnstein’s ladder ― the ‘Scaffold of Smart Citizen Participation’ ― as a conceptual tool to unpack the diverse ways in which the smart city frames citizens and measure smart citizen inclusion, participation, and empowerment in Dublin, Ireland.
Why the National Spatial Strategy failed and prospects for the National Plann...robkitchin
This talk delivered at the MacGill Summer School in Glenties, Donegal as part of a panel on the National Spatial Strategy and where next for spatial planning in Ireland. It sets out the history of spatial planning in Ireland and why the NSS failed and discusses the prospects for a new National Planning Framework
Funding models for open access digital repositoriesrobkitchin
Across jurisdictions and domains (academia, government, business) there has been much recent attention paid to open forms of knowledge production (e.g., open-source software, open data/metadata, open infrastructures) and the creation of open digital repositories for the unrestricted sharing of data, publications and other resources. This paper focuses on the latter, documenting and critically examining 14 different funding streams, grouped into six classes (institutional, philanthropy, research, audience, service, volunteer), being pursued by open digital repositories to support their endeavours, with a particular focus on academic research data repositories. Whilst open digital repositories are free to access, they are not without significant cost to build and maintain, and unstable and cyclical funding poses considerable risks to their futures and the digital collections they hold. While the political and ethical debate concerning the merits of open access and open data is important, we argue that just as salient are concerns with respect to long-term, sustainable funding for the operation and maintenance of open access digital repositories.
Housing in Ireland: From Crisis to Crisisrobkitchin
This paper provides a macro analysis of Irish housing since 1991 and makes the argument that it has been perpetually in crisis and that we need to find a way to treat housing as a sector, not simply a market, and to create stability that will mitigate against boom/bust cycles.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 3
Ethics and Politics of Big Data
1. Ethics and Politics of Big Data
Prof. Rob Kitchin
Maynooth University
Towards a Magna Carta for Data: a workshop on the ethics of Big Data
Predict, 17th September 2015
3. Big data & smart cities
• Diverse range of public and private
generation of fine-scale (uniquely
indexical) data about citizens and
places in real-time:
• utilities
• transport providers
• environmental agencies
• mobile phone operators
• travel and accommodation websites
• social media sites
• financial institutions and retail chains
• private surveillance and security
firms
• emergency services
• home appliances and entertainment
systems
• Producing a data deluge that can be
combined, analyzed, acted upon
4. Data type Data collected by Uber android app (from Hein 2014)
Accounts log email log
App Activity name, package name, process number of activity, processed id
App Data Usage Cache size, code size, data size, name, package name
App Install installed at, name, package name, unknown sources enabled, version code, version
name
Battery health, level, plugged, present, scale, status, technology, temperature, voltage
Device Info board, brand, build version, cell number, device, device type, display, fingerprint, IP,
MAC address, manufacturer, model, OS platform, product, SDK code, total disk
space, unknown sources enabled
GPS accuracy, altitude, latitude, longitude, provider, speed
MMS from number, MMS at, MMS type, service number, to number
NetData bytes received, bytes sent, connection type, interface type
PhoneCall call duration, called at, from number, phone call type, to number
SMS from number, service number, SMS at, SMS type, to number
TelephonyInfo cell tower ID, cell tower latitude, cell tower longitude, IMEI, ISO country code, local
area code, MEID, mobile country code, mobile network code, network name,
network type, phone type, SIM serial number, SIM state, subscriber ID
WifiConnection BSSID, IP, linkspeed, MAC addr, network ID, RSSI, SSID
WifiNeighbors BSSID, capabilities, frequency, level, SSID
Root Check root status code, root status reason code, root version, sig file version
Malware Info algorithm confidence, app list, found malware, malware SDK version, package list,
reason code, service list, sigfile version
5. Ethics and politics of data
• Consists of much more than issues of privacy and security that it
often gets boiled down to:
• Data ownership and control
• Data integration and data markets
• Data security and integrity
• Data protection and privacy
• Data quality and provenance
• Dataveillance/surveillance
• Data uses: Social sorting, predictive profiling, control creep,
dynamic pricing, anticipatory governance
• The politics of data
• Each of these issues is: multidimensional & contested; involve
multiple ethical & political questions; varies in nature across
domains; which ethical philosophy adopted matters
6. A Taxonomy of Privacy (compiled from Solove 2006)
Domain Privacy breach Description
Information
Collection
Surveillance Watching, listening to, or recording of an individual’s activities
Interrogation Various forms of questioning or probing for information
Information
Processing
Aggregation The combination of various pieces of data about a person
Identification Linking information to particular individuals
Insecurity Carelessness in protecting stored information from leaks and
improper access
Secondary Use Use of information collected for one purpose for a different
purpose without the data subject’s consent
Exclusion Failure to allow the data subject to know about the data that others
have about her and participate in its handling and use, including
being barred from being able to access and correct errors
Information
Dissemination
Breach of Confidentiality Breaking a promise to keep a person’s information confidential
Disclosure Revelation of information about a person that impacts the way
others judge her character
Exposure Revealing another’s nudity, grief, or bodily functions
Increased Accessibility Amplifying the accessibility of information
Blackmail Threat to disclose personal information
Appropriation The use of the data subject’s identity to serve the aims and
interests of another
Distortion Dissemination of false or misleading information about individuals
Invasion Intrusion Invasive acts that disturb one’s tranquillity or solitude
Decisional Interference Incursion into the data subject’s decisions regarding her private
7. The politics of urban data
Material Platform
(infrastructure – hardware)
Code Platform
(operating system)
Code/algorithms
(software)
Data(base)
Interface
Reception/Operation
(user/usage)
Systems of thought
Forms of knowledge
Finance
Political economies
Governmentalities & legalities
Organisations and institutions
Subjectivities and communities
Marketplace
System/process
performs a task
Context
frames the system/task
Digital socio-technical assemblage
Places
Practices
8. Philosophy, ethics and data
• Egalitarianism -- equality in power/rights regardless of
ability and inheritance
• Utilitarianism -- the greater good for the greatest
number
• Libertarianism -- prioritises the value of the individual
over the state and society; free-market is inherently just
• Contractarianism -- seeks to find a position that all
involved considers just (not equal)
• Communitarianism –- promotes ideas of community, and
community ways of life with common shared practices
and shared understandings
• Each ethics philosophy leads to a particular kind of
Magna Carta
9. Technical data concerns and ethics
• Data coverage and access
(openness)
• Data quality and provenance:
veracity (accuracy, fidelity),
uncertainty, error, bias,
reliability, calibration, lineage
• Quality, veracity and
transparency of data analytics
• Ecological fallacy and
interpretation issues
• Downstream consequences of
data uses on poor quality data
10. Magna Carta for Data
• https://www.insight-centre.org/magna-carta-for-data
• Bill of rights concerning data
• Set of general principles – voluntary code?
• Refresh and extension of Fair Information Practice
Principles?
11. Fair Information Practice Principles
Principle Description
Notice Individuals are informed that data are being generated and the
purpose to which the data will be put
Choice Individuals have the choice to opt-in or opt-out as to whether and
how their data will be used or disclosed
Consent Data are only generated and disclosed with the consent of
individuals
Security Data are protected from loss, misuse, unauthorized access,
disclosure, alteration and destruction
Integrity Data are reliable, accurate, complete and current
Access Individuals can access, check and verify data about themselves
Accountability The data holder is accountable for ensuring the above principles
and has mechanisms in place to assure compliance
12. Magna Carta for Data
• Bill of rights concerning data
• Set of general principles – voluntary code?
• Refresh and extension of Fair Information Practice Principles?
• High level rather than nitty-gritty rules and practices within
domains
• Is not going to mitigate the need for standards, protocols,
regulation and legislation; but could help guide/frame debates
• Would be one part of every data assemblage
• Designing a Magna Carta for Data will be an exercise in
negotiating the politics of data and philosophy/ethics
• Certainly a worthwhile exercise, but will not be a panacea to
evolving big data ethical issues
