Collecting to share - public data for democracy and innovation?

Feb 9, 2011Download as ppt, pdf

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The document discusses the balance between public data sharing for democracy and innovation versus privacy concerns. It highlights the importance of government transparency and poses questions about the commercialization of publicly financed data. Furthermore, it calls for the careful handling of personal data and the use of machine-readable formats for effective data sharing.

Technology

Collecting to share Public data for democracy and innovation - but what about privacy? Christine Hafskjold CPDP, January 27 th 2011

Is it self evident that data financed by the public should be publicly available? Is it OK for someone to make money from something they were given for free? What role should the government play and how should they relate to commercial businesses? How can we balance transparency against privacy?

What data? As much as possible 鈥� but with some exceptions! Personal data Data to do with national security Machine readable data, API for real-time data Don鈥檛 use data quality as an excuse 鈥� just make sure the data-sets are labled properly

av 13 All about ME Christine Hafskjold (dd.mm.氓氓氓氓) Married to Petter Hafskjold (dd.mm.氓氓氓氓) Children: Tiney Hafskjold (dd.mm.氓氓氓氓) Junior Hafskjold (dd.mm.氓氓氓氓) Kilde: Folkereg. PROPERTY House: Boligveien X Price: X mill (19XX) Current value (estimated): XX mill Other property: Fjellet Price: X mill (19XX) Current value (estimated): XX mill Fortune: XXX kr Shares: Company A , nnn shares 谩 XXX Company B , nnn shares 谩 XXX Vehicle(s): AB XXXXX (20XX) Price: XXXXXX Current value (estimated): XXXXX EDUCATION Graduated NTH (NTNU) 1994 Grade: n,n Get full certificate WORK Current workplace: Teknolgir氓det (from 2004) Position: Project manager Get full history Total income: XXXXXX Source: Arbeidstakerreg . FRIENDS Grade Income Kari X xxxxxx Tore Y xxxxxx Hild Z xxxxxx Source: Facebook, Samordna opptak, Skatt MORE PHOTOS鈥�

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The document outlines best practices in cluster management based on 20 years of experience, emphasizing Upper Austria as an economically dynamic region contributing significantly to Austria's industrial production and exports. It details the formation of various clusters, the cooperation among companies, and the focus on issues like internationalization and smart technologies. Key takeaways include the importance of building trust among stakeholders and the transformations within the regional cluster management organization.

Update December 2016-February 2017extax

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The Ex'tax Project launched its EU study on shifting taxes from labor to natural resource use. The study was endorsed by Prince Carlos de Bourbon de Parme and Feike Sijbesma, CEO of Royal DSM. Femke Groothuis of Ex'tax was invited to present at the World Economic Forum in Davos and to speak with EU Commissioner Pierre Moscovici on tax policy reform. The study received positive coverage in Dutch newspapers and radio. Online, it was supported by sustainability organizations. A Dutch election tool will help voters consider which parties support the tax shift. Ex'tax has had success and has an exciting plan for upcoming months.

Update September - December 2017extax

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The Ex'tax Project has been promoting their principles of shifting taxes from labor to pollution and resource use across Europe over the past 3 months. They have given presentations at conferences in Amsterdam, Paris, Lisbon, Geneva, and Porto. Support for their tax shift principles is growing from organizations like the OECD, ABN AMRO bank, PBL environmental think tank, and politicians in the Netherlands. The new Dutch government coalition agreement includes plans to lower taxes on labor and raise taxes on pollution. Ex'tax continues to gain recognition in publications and media for their proposal to reform tax systems towards a circular economy.

Austria presentation in Greece lifeandjobskills

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The document summarizes the 9 regions of Austria. It provides information on the population, area, capital city, and key industries for each region. The regions are Vorarlberg, Tyrol, Salzburg, Upper Austria, Lower Austria, Vienna, Burgenland, Styria, and Carinthia. Tourism, agriculture, and industry (such as automotive, textiles, and energy) form important parts of the economy across many of the Austrian regions.

Excellence in Innovation and R&D. Reasons to invest in Austria/Carinthia.Forum Velden

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The document promotes investment in Carinthia, Austria by highlighting the region's strengths in innovation and research. It notes that Carinthia has a strong industrial economy and ranks highly in Austria for research and development investments. The region is home to several university and non-university research centers working in areas like smart systems, robotics, and materials science. The document argues that Carinthia provides a competitive, stable environment for businesses and offers investors services and support through its investment promotion agency.

Public data for democracy and innovation - but what about privacy?Christine Hafskjold

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The document discusses the importance of public data for democracy and innovation while raising concerns about privacy. It questions the ethics of commercial exploitation of publicly funded data and emphasizes the need for a balance between transparency and privacy, especially regarding personal and sensitive information. The text advocates for the labeling of datasets and proposes that accessibility should be enhanced while promoting innovation in public services.

Fra Altinn til alt ut? Offentlige data for innovasjon og demokrati罢别办苍辞濒辞驳颈谤氓诲别迟

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Empowerment and privacy罢别办苍辞濒辞驳颈谤氓诲别迟

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The document discusses strategies for empowering various stakeholders, including citizens, industry, and government, to prioritize privacy in ICT systems. It emphasizes the importance of addressing privacy issues from the beginning of any planning process and suggests guidelines for evaluating privacy in the transport and communication sectors. Additionally, it includes personal information about Christine Hafskjold and her professional background, but that is secondary to the main focus on privacy empowerment.

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Big data has the potential to transform evidence-based policymaking by providing new ways to sense the world and gain insights. It allows governments to analyze vast amounts of digital information from sources like social media, smartphones, and sensors. This data can be linked, analyzed, and visualized to reveal unexpected patterns and forecast future trends. Policymakers could use big data to better engage the public, collaborate with citizen experts, communicate policies, and monitor the impact of decisions in real-time. However, challenges remain around building robust platforms and tools to facilitate public deliberation and decision-making using big data.

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The Future of Product Management in AI ERA.pdfAlyona Owens

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Hi, I鈥檓 Aly Owens, I have a special pleasure to stand here as over a decade ago I graduated from CityU as an international student with an MBA program. I enjoyed the diversity of the school, ability to work and study, the network that came with being here, and of course the price tag for students here has always been more affordable than most around. Since then I have worked for major corporations like T-Mobile and Microsoft and many more, and I have founded a startup. I've also been teaching product management to ensure my students save time and money to get to the same level as me faster avoiding popular mistakes. Today as I鈥檝e transitioned to teaching and focusing on the startup, I hear everybody being concerned about Ai stealing their jobs鈥� We鈥檒l talk about it shortly. But before that, I want to take you back to 1997. One of my favorite movies is 鈥淔ifth Element鈥�. It wowed me with futuristic predictions when I was a kid and I鈥檓 impressed by the number of these predictions that have already come true. Self-driving cars, video calls and smart TV, personalized ads and identity scanning. Sci-fi movies and books gave us many ideas and some are being implemented as we speak. But we often get ahead of ourselves: Flying cars,Colonized planets, Human-like AI: not yet, Time travel, Mind-machine neural interfaces for everyone: Only in experimental stages (e.g. Neuralink). Cyberpunk dystopias: Some vibes (neon signs + inequality + surveillance), but not total dystopia (thankfully). On the bright side, we predict that the working hours should drop as Ai becomes our helper and there shouldn鈥檛 be a need to work 8 hours/day. Nobody knows for sure but we can require that from legislation. Instead of waiting to see what the government and billionaires come up with, I say we should design our own future. So, we as humans, when we don鈥檛 know something - fear takes over. The same thing happened during the industrial revolution. In the Industrial Era, machines didn鈥檛 steal jobs鈥攖hey transformed them but people were scared about their jobs. The AI era is making similar changes except it feels like robots will take the center stage instead of a human. First off, even when it comes to the hottest space in the military - drones, Ai does a fraction of work. AI algorithms enable real-time decision-making, obstacle avoidance, and mission optimization making drones far more autonomous and capable than traditional remote-controlled aircraft. Key technologies include computer vision for object detection, GPS-enhanced navigation, and neural networks for learning and adaptation. But guess what? There are only 2 companies right now that utilize Ai in drones to make autonomous decisions - Skydio and DJI.

Curietech AI in action - Accelerate MuleSoft developmentshyamraj55

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CurieTech AI in Action 鈥� Accelerate MuleSoft Development Overview: This presentation demonstrates how CurieTech AI鈥檚 purpose-built agents empower MuleSoft developers to create integration workflows faster, more accurately, and with less manual effort linkedin.com +12 curietech.ai +12 meetups.mulesoft.com +12 . Key Highlights: Dedicated AI agents for every stage: Coding, Testing (MUnit), Documentation, Code Review, and Migration curietech.ai +7 curietech.ai +7 medium.com +7 DataWeave automation: Generate mappings from tables or samples鈥�95%+ complete within minutes linkedin.com +7 curietech.ai +7 medium.com +7 Integration flow generation: Auto-create Mule flows based on specifications鈥攕peeds up boilerplate development curietech.ai +1 medium.com +1 Efficient code reviews: Gain intelligent feedback on flows, patterns, and error handling youtube.com +8 curietech.ai +8 curietech.ai +8 Test & documentation automation: Auto-generate MUnit test cases, sample data, and detailed docs from code curietech.ai +5 curietech.ai +5 medium.com +5 Why Now? Achieve 10脳 productivity gains, slashing development time from hours to minutes curietech.ai +3 curietech.ai +3 medium.com +3 Maintain high accuracy with code quality matching or exceeding manual efforts curietech.ai +2 curietech.ai +2 curietech.ai +2 Ideal for developers, architects, and teams wanting to scale MuleSoft projects with AI efficiency Conclusion: CurieTech AI transforms MuleSoft development into an AI-accelerated workflow鈥攍etting you focus on innovation, not repetition.

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As AI reshapes expectations in retail and B2B commerce, organizations are recognizing a critical reality: meaningful AI outcomes depend on well-structured, adaptable infrastructure. In this session, Seth Earley is joined by Phil Ryan - AI strategist, search technologist, and founder of Glass Leopard Technologies - for a candid conversation on what it truly means to engineer systems for scale, agility, and intelligence. Phil draws on more than two decades of experience leading search and AI initiatives for enterprise organizations. Together, he and Seth explore the challenges businesses face when legacy architectures limit personalization, agility, and real-time decisioning - and what needs to change to support agentic technologies and next-best-action capabilities. Key themes from the webinar include: Composability as a prerequisite for AI听- Why modular, loosely coupled systems are essential for adapting to rapid innovation and evolving business needs Search and relevance as foundational to AI听- How techniques honed-in enterprise search have laid the groundwork for more responsive and intelligent customer experiences From MDM and CDP to agentic systems听- How data platforms are evolving to support richer customer context and dynamic orchestration Engineering for business alignment听- Why successful AI programs require architectural decisions grounded in measurable outcomes The conversation is practical and forward-looking, connecting deep technical understanding with real-world business needs. Whether you鈥檙e modernizing your commerce stack or exploring how AI can enhance product discovery, personalization, or customer journeys, this session provides a clear-eyed view of the capabilities, constraints, and priorities that matter most.

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What can go wrong if you allow each service to access the database directly? In a startup, this seems like a quick and easy solution, but as the system scales, problems appear that no one could have guessed. In my talk, I'll share Solidgate's experience in transforming its architecture: from the chaos of direct connections to a service-based data access model. I will talk about the transition stages, bottlenecks, and how isolation affected infrastructure support. I will honestly show what worked and what didn't. In short, we will analyze the controversy of this talk.

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Collecting to share - public data for democracy and innovation?

1. Collecting to share Public data for democracy and innovation - but what about privacy? Christine Hafskjold CPDP, January 27 th 2011

2. From 芦Freedom of information禄 to 芦active sharing禄? Technology has made storage and sharing cheap 鈥� and raised public expectation to information and services Government transparency is important for democracy and control 鈥� both for citizens and the press Re-use of public data can foster innovation Easy exchange of data between public bodies can lead to a more effective and efficient public sector

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4. av 13

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6. Is it self evident that data financed by the public should be publicly available? Is it OK for someone to make money from something they were given for free? What role should the government play and how should they relate to commercial businesses? How can we balance transparency against privacy?

7. What data? As much as possible 鈥� but with some exceptions! Personal data Data to do with national security Machine readable data, API for real-time data Don鈥檛 use data quality as an excuse 鈥� just make sure the data-sets are labled properly

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9. av 13 Smallville Savings and Loans Interest rate if you move to Smallville: 2,0% SAVINGS | LOAN | PENSION | CUSTOMER RELATIONS | Farms need owners: Torpet Sjarmerende sm氓bruk med plass til to kyr og en gris Plassen Du kan bli kornbonde selv om du er allergisk mot dyr Steinr酶ysa Neri bakken Public charges Byen Grenda Bygda Renovasjon 3000 3500 4000 Byggesaksbeh. 9000 7500 550 SFO 2000 1800 1500 Day care Available. Quality (1-5) Tertitten 24 3,7 Knerten 32 4,1 Havnehagen 80 4,3 Apply Apply Apply Start saving today!

10. av 13 All about ME Christine Hafskjold (dd.mm.氓氓氓氓) Married to Petter Hafskjold (dd.mm.氓氓氓氓) Children: Tiney Hafskjold (dd.mm.氓氓氓氓) Junior Hafskjold (dd.mm.氓氓氓氓) Kilde: Folkereg. PROPERTY House: Boligveien X Price: X mill (19XX) Current value (estimated): XX mill Other property: Fjellet Price: X mill (19XX) Current value (estimated): XX mill Fortune: XXX kr Shares: Company A , nnn shares 谩 XXX Company B , nnn shares 谩 XXX Vehicle(s): AB XXXXX (20XX) Price: XXXXXX Current value (estimated): XXXXX EDUCATION Graduated NTH (NTNU) 1994 Grade: Y Get full certificate WORK Current workplace: Teknolgir氓det (from 2004) Position: Project manager Get full history Income: XXXXXX Source: Arbeidstakerreg . FRIENDS Grade Income Kari X xxxxxx Tore Y xxxxxx Hild Z xxxxxx Source: Facebook, Samordna opptak, Skatt MORE PHOTOS鈥�

11. www.teknologiradet.no

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