Presentation at "Strategies for managing social media research data", Feb 12, 2016. Cambridge. http://www.data.cam.ac.uk/events/strategies-managing-social-media-research-data
Weller social media as research data_psm15Katrin Weller
Presentation at "Preserving Social Media" (#psm15), London, October 27th 2015.
http://dpconline.org/events/details/96-preserving-socialmedia?xref=126%3ASocialMedia15
Presentation at "Strategies for managing social media research data", Feb 12, 2016. Cambridge. http://www.data.cam.ac.uk/events/strategies-managing-social-media-research-data
Weller social media as research data_psm15Katrin Weller
Presentation at "Preserving Social Media" (#psm15), London, October 27th 2015.
http://dpconline.org/events/details/96-preserving-socialmedia?xref=126%3ASocialMedia15
한국언론학회 2016년 봄철학술대회의 <테마논문> 세션
이번 학술대회의 테마는 <미래>이며,
이 세션에서는 테마에 관한 초청논문이 발표되고 토론될 예정입니다.
학술대회의 여러 행사 중 가장 중요한 세션이라고 할 수 있지요~^^
4부(15:50~17:30)에 100분간 진행되며, 장소는 이화여대 ECC B225호입니다(날짜: 5월 21일 토).
100분동안 3편의 논문이 발표되며, 각 논문 당 한 분이 토론에 참여하십니다.
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
What Does Your Repository Do? Measuring and Calculating ImpactMargaret Heller
Presentation given at LITA Forum 2014 on November 7, 2014. Please see http://www.gloriousgeneralist.com/2014/12/notes-on-measuring-and-calculating-impact-in-institutional-repositories/ for complete notes.
The workshop opens with a discussion of how to repurpose digital "methods of the medium" for social and cultural scholarly research, including its limitations, critiques and ethics. Subsequently participants are trained in using digital methods in hands-on sessions. How to use crawlers for dynamic URL sampling and issue network mapping? How to employ scrapers to create a bias or partisanship diagnostic instrument? We also consider how to deploy online platforms for social research. How to transform Wikipedia from an online encyclopaedia to a device for cross-cultural memory studies? How to make use of social media so as to profile the preferences and tastes of politicians’ friends, and also locate most engaged with content? How to make use of Twitter analytics to debanalize tweets, and provide compelling accounts of events on the ground? Finally, the workshop turns to the question of employing web data and metrics as societal indices more generally.
Presentation to the second LIS DREaM workshop held at the British Library on Monday 30th January 2012.
More information available at: http://lisresearch.org/dream-project/dream-event-3-workshop-monday-30-january-2012/
The Internet, Science, and Transformations of KnowledgeEric Meyer
Talk on June 7, 2012 in the Harvard SAP Speaker Series (Office of the Senior Associate Provost for the Harvard Library).
http://www.provost.harvard.edu/harvard_library/sap_speakers_series.php
Reinventing Research? Information Practices in the Humanites Information Prof...Eric Meyer
These slides are from a workshop for information professionals based on the RIN report on how humanities scholars use information sources. For the full report, please visit: http://www.rin.ac.uk/humanities-case-studies
한국언론학회 2016년 봄철학술대회의 <테마논문> 세션
이번 학술대회의 테마는 <미래>이며,
이 세션에서는 테마에 관한 초청논문이 발표되고 토론될 예정입니다.
학술대회의 여러 행사 중 가장 중요한 세션이라고 할 수 있지요~^^
4부(15:50~17:30)에 100분간 진행되며, 장소는 이화여대 ECC B225호입니다(날짜: 5월 21일 토).
100분동안 3편의 논문이 발표되며, 각 논문 당 한 분이 토론에 참여하십니다.
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
What Does Your Repository Do? Measuring and Calculating ImpactMargaret Heller
Presentation given at LITA Forum 2014 on November 7, 2014. Please see http://www.gloriousgeneralist.com/2014/12/notes-on-measuring-and-calculating-impact-in-institutional-repositories/ for complete notes.
The workshop opens with a discussion of how to repurpose digital "methods of the medium" for social and cultural scholarly research, including its limitations, critiques and ethics. Subsequently participants are trained in using digital methods in hands-on sessions. How to use crawlers for dynamic URL sampling and issue network mapping? How to employ scrapers to create a bias or partisanship diagnostic instrument? We also consider how to deploy online platforms for social research. How to transform Wikipedia from an online encyclopaedia to a device for cross-cultural memory studies? How to make use of social media so as to profile the preferences and tastes of politicians’ friends, and also locate most engaged with content? How to make use of Twitter analytics to debanalize tweets, and provide compelling accounts of events on the ground? Finally, the workshop turns to the question of employing web data and metrics as societal indices more generally.
Presentation to the second LIS DREaM workshop held at the British Library on Monday 30th January 2012.
More information available at: http://lisresearch.org/dream-project/dream-event-3-workshop-monday-30-january-2012/
The Internet, Science, and Transformations of KnowledgeEric Meyer
Talk on June 7, 2012 in the Harvard SAP Speaker Series (Office of the Senior Associate Provost for the Harvard Library).
http://www.provost.harvard.edu/harvard_library/sap_speakers_series.php
Reinventing Research? Information Practices in the Humanites Information Prof...Eric Meyer
These slides are from a workshop for information professionals based on the RIN report on how humanities scholars use information sources. For the full report, please visit: http://www.rin.ac.uk/humanities-case-studies
Quantifying the impacts of investment in humanities archivesEric Meyer
Talk presented at the 2016 Charleston Conference looking at the impacts of EEBO (Early English Books Online), House of Commons Parliamentary Papers, and the New York Times.
Keynote address by Anatoliy Gruzd at the 2017 Altmetrics Conference in Toronto, Canada (Sep 27, 2017)
Abstract
Arguably, even the most innovative ideas take time to catch on. Ideas that seem obvious today, at one point were obscure oddities known only to a select few. Washing your hands, airbags in cars, the internet - none of these ideas were accepted immediately. New ideas need time to incubate, the process of switching from old ideas to new is not seamless nor is it linear. In today’s social media-connected world, even though ideas can spread quickly and more efficiently than ever before, they are now competing for attention with a multitude of other ideas, memes, tweets, snaps, YouTube videos and news (fake and real). Conceptually, if social media is a network of highways on which ideas and people travel, altmetrics are the billboard or traffic signs on these highways that can help interested parties to discover new ideas or re-discover ideas left on the side of the road. While often neglected, the above metaphor is meant to illuminate the important role of altmetrics for researchers, innovators and funders seeking to track the impacts of new ideas, as well as for the many idea consumers looking for emerging and novel insights.
This talk will outline the current state of altmetrics research and how altmetrics are being commonly calculated and used by different stakeholders. It will also explore the social network properties of ideas and how these properties might be used to customize altmetrics for different audiences and uses. The keynote will conclude by calling for the development of training strategies to provide learning opportunities for researchers and administrators from various fields to acquire necessary digital literacy skills so that they better understand how altmetrics are measured and how they can be interpreted for decision making. The keynote will also call on altmetrics developers and researchers to create algorithms and data collection strategies that are less prone to manipulation by the rapid rise of social bots.
Abstract:
Social media data is a rich source of behavioural data that can reveal how we connect and interact with each other online in real-time and over time, and what that might mean for our society as we continue to speed towards an increasingly computer-mediated future. And as more and more Canadians are joining and contributing to various social media websites, their automatically recorded data are rapidly becoming available to third parties to mine for both commercial and academic purposes. As a result, questions around why and how data consumers’ use social media data are becoming pertinent. This talk will review different approaches to Social Media Data Stewardship (the collection, storage, use, reuse, analysis, and preservation of social media data) and discuss some ethical implications of working with such data.
Respond to these two classmates’ posts. 1. After reading thi.docxdaynamckernon
Respond to these two classmates’ posts.
1. After reading this journal article regarding
ethics of internet research, I have discovered different viewpoints of research and determined some ethical concerns.
As this type of “web-based” research grows, researchers will face ethical concerns that are different from traditional research ethical issues, (Denissen, Neumann & Van Zalk, 2010)
The main attribute of internet research, as I see it, is the ability to have a global footprint; meaning almost any one that has a computer and connectivity can access all types of information and data. Along with this power, comes great responsibility. The web can be a wonderful tool which can afford individuals, organizations, communities, and others tremendous access into good and bad places. This access can afford humans into medical breakthroughs, how to guides on repairs and building, how to get from city to city, and a multitude of positive ways to learn and grow.
Internet research use is growing at a fast pace and consequently, is creating ethical dilemmas.
At the same time, it can be a way to link terrorists’ organizations, promote child pornography etc. As you can see, internet research can be used for the greater good, or to our detriment.
This is where the ethics comes into play, and guidelines are set up to monitor ethical issues which occur due to this process. Institutional Review Boards at institutions conducting this type of
research
need specific guidelines for researchers to follow in order to maintain the integrity of
research.
(Williams) 2012)
Denissen, J. J. A., Neumann, L. & van Zalk, M. (2010). How the internet is changing the implementation of
traditional research methods, people’s daily lives, and the way in which developmental scientists conduct
research.
International Journal of Behavioral Development, 34,
564-575. DOI: 10.1177/0165025410383746.
Williams, S. G. (2012). The Ethics of Internet Research.
Online Journal Of Nursing Informatics
,
16
(2), 38-48.
2.
With the rapid increase of technology has come tremendous opportunity. Information is more easily accessible than ever before, which also creates ethical concerns. This week’s lecture describes research that is ethical as one “that the researchers are protecting the privacy of the participants and any research data collected about them.” The journal article, “The Ethics of Internet Research” examines internet research and the ethical issues that arise.
The advantages of internet research over traditional methods are that it is less costly, less of a time commitment, more controlled by the researcher, higher accuracy in data collection, and the ability to easily provide follow up and feedback (Williams, 2012). In a lot of aspects, internet research can be more efficient and less costly. However, there are many disadvantages that the article addresses on internet research. One is lack of control over the test setting (Williams, 2012). It is difficul.
“Big data” in human services organisations: Practical problems and ethical di...husITa
“Big data” initiatives that aim to bring together and mine data from multiple databases across government and non-government agencies promise new insights into human service delivery. Specifically they aim to provide information about what services are being used, how, by whom and with what outcome. However, the process of achieving such insights poses both practical problems and ethical dilemmas. In this presentation, drawing from an extensive literature review and research with government and non-government human service organisations focussing on the design and redevelopment of electronic information systems, the most significant problems and dilemmas will be explored. It will be argued that current frameworks for ethical social work and human service practice will need to be expanded to accommodate developments in technology which have made ‘Big data’ projects possible.
Respond to at least two of your classmates’ posts. 1. After .docxdaynamckernon
Respond to at least two of your classmates’ posts.
1. After reading this journal article regarding
ethics of internet research, I have discovered different viewpoints of research and determined some ethical concerns.
As this type of “web-based” research grows, researchers will face ethical concerns that are different from traditional research ethical issues, (Denissen, Neumann & Van Zalk, 2010)
The main attribute of internet research, as I see it, is the ability to have a global footprint; meaning almost any one that has a computer and connectivity can access all types of information and data. Along with this power, comes great responsibility. The web can be a wonderful tool which can afford individuals, organizations, communities, and others tremendous access into good and bad places. This access can afford humans into medical breakthroughs, how to guides on repairs and building, how to get from city to city, and a multitude of positive ways to learn and grow.
Internet research use is growing at a fast pace and consequently, is creating ethical dilemmas.
At the same time, it can be a way to link terrorists’ organizations, promote child pornography etc. As you can see, internet research can be used for the greater good, or to our detriment.
This is where the ethics comes into play, and guidelines are set up to monitor ethical issues which occur due to this process. Institutional Review Boards at institutions conducting this type of
research
need specific guidelines for researchers to follow in order to maintain the integrity of
research.
(Williams) 2012)
Denissen, J. J. A., Neumann, L. & van Zalk, M. (2010). How the internet is changing the implementation of
traditional research methods, people’s daily lives, and the way in which developmental scientists conduct
research.
International Journal of Behavioral Development, 34,
564-575. DOI: 10.1177/0165025410383746.
Williams, S. G. (2012). The Ethics of Internet Research.
Online Journal Of Nursing Informatics
,
16
(2), 38-48.
2.
With the rapid increase of technology has come tremendous opportunity. Information is more easily accessible than ever before, which also creates ethical concerns. This week’s lecture describes research that is ethical as one “that the researchers are protecting the privacy of the participants and any research data collected about them.” The journal article, “The Ethics of Internet Research” examines internet research and the ethical issues that arise.
The advantages of internet research over traditional methods are that it is less costly, less of a time commitment, more controlled by the researcher, higher accuracy in data collection, and the ability to easily provide follow up and feedback (Williams, 2012). In a lot of aspects, internet research can be more efficient and less costly. However, there are many disadvantages that the article addresses on internet research. One is lack of control over the test setting (Williams, 2012). It .
Presentation at the Workshop on "Small Data and Big Data Controversies and Alternatives: Perspectives from The Sage Handbook of Social Media Research Methods" with Anabel Quan-Haase, Luke Sloan, Diane Rasmussen Pennington, et al.
LINK: http://sched.co/7G5N
After reading this journal article regarding ethics of interne.docxrosiecabaniss
After reading this journal article regarding
ethics of internet research, I have discovered different viewpoints of research and determined some ethical concerns.
As this type of “web-based” research grows, researchers will face ethical concerns that are different from traditional research ethical issues, (Denissen, Neumann & Van Zalk, 2010)
The main attribute of internet research, as I see it, is the ability to have a global footprint; meaning almost any one that has a computer and connectivity can access all types of information and data. Along with this power, comes great responsibility. The web can be a wonderful tool which can afford individuals, organizations, communities, and others tremendous access into good and bad places. This access can afford humans into medical breakthroughs, how to guides on repairs and building, how to get from city to city, and a multitude of positive ways to learn and grow.
Internet research use is growing at a fast pace and consequently, is creating ethical dilemmas.
At the same time, it can be a way to link terrorists’ organizations, promote child pornography etc. As you can see, internet research can be used for the greater good, or to our detriment.
This is where the ethics comes into play, and guidelines are set up to monitor ethical issues which occur due to this process. Institutional Review Boards at institutions conducting this type of
research
need specific guidelines for researchers to follow in order to maintain the integrity of
research.
(Williams) 2012)
Denissen, J. J. A., Neumann, L. & van Zalk, M. (2010). How the internet is changing the implementation of
traditional research methods, people’s daily lives, and the way in which developmental scientists conduct
research.
International Journal of Behavioral Development, 34,
564-575. DOI: 10.1177/0165025410383746.
Williams, S. G. (2012). The Ethics of Internet Research.
Online Journal Of Nursing Informatics
,
16
(2), 38-48.
2.
With the rapid increase of technology has come tremendous opportunity. Information is more easily accessible than ever before, which also creates ethical concerns. This week’s lecture describes research that is ethical as one “that the researchers are protecting the privacy of the participants and any research data collected about them.” The journal article, “The Ethics of Internet Research” examines internet research and the ethical issues that arise.
The advantages of internet research over traditional methods are that it is less costly, less of a time commitment, more controlled by the researcher, higher accuracy in data collection, and the ability to easily provide follow up and feedback (Williams, 2012). In a lot of aspects, internet research can be more efficient and less costly. However, there are many disadvantages that the article addresses on internet research. One is lack of control over the test setting (Williams, 2012). It is difficult to verify if the subject is in fact who they .
BROWN BAG TALK WITH MICAH ALTMAN, SOURCES OF BIG DATA FOR SOCIAL SCIENCESMicah Altman
This talk, is part of the MIT Program on Information Science brown bag series (http://informatics.mit.edu)
This talk reviews emerging big data sources for social scientific analysis and explores the challenges these present. Many of these sources pose distinct challenges for acquisition, processing, analysis, inference, sharing, and preservation.
Dr Micah Altman is Director of Research and Head/Scientist, Program on Information Science for the MIT Libraries, at the Massachusetts Institute of Technology. Dr. Altman is also a Non-Resident Senior Fellow at The Brookings Institution. Prior to arriving at MIT, Dr. Altman served at Harvard University for fifteen years as the Associate Director of the Harvard-MIT Data Center, Archival Director of the Henry A. Murray Archive, and Senior Research Scientist in the Institute for Quantitative Social Sciences.
Dr. Altman conducts research in social science, information science and research methods -- focusing on the intersections of information, technology, privacy, and politics; and on the dissemination, preservation, reliability and governance of scientific knowledge.
Decomposing Social and Semantic Networks in Emerging “Big Data” ResearchHan Woo PARK
빅데이터가 학문으로 등장한 배경을 잘 정리한 논문
http://www.sciencedirect.com/science/article/pii/S1751157713000473
Park, H.W.@, & Leydesdorff, L. (2013). Decomposing Social and Semantic Networks in Emerging “Big Data” Research. Journal of Informetrics. 7 (3), 756-765. DOI information: 10.1016/j.joi.2013.05.004
RUNNING HEAD: BIG DATA IN SOCIAL MEDIA 1
BIG DATA IN SOCIAL MEDIA 3
Big Data in Social Media
By definition, Big Data can simply be termed as voluminous data. In more specific definitions, it can be termed as that which is large, complex and fast and a s a result, is not in a position to be processed using the typical traditional methods of data processing. The volume, variety, velocity, variability and veracity are used in the categorizing of data as big data. With the development in technology, and the continued incorporation of these technological sources into our day to day lives, the collected data through the Internet of Things among other information systems has resulted in big data (Ivanov, 2018). One such areas where Big data is found is in the social media platforms. As opposed to the olden days, currently, more and more people and companies are using social media daily to achieve their specific objectives and goals, it is estimated that social media platforms like Facebook produce data as big as 500+ terabytes in a s ingle day!
Most of these data in the social media are as a result of the videos, photos, messages and comments being shared across the media platforms. Not only do individuals use social media to keep in touch, but companies also use it in a concept called social media marketing. Through the media, and using big data analytics, companies are able to map out consumer behavior through what they like and what they share (Nicora, 2019). They use these platforms to reach their target audiences and at the same time use them to get feedback from their clients. As a result, the amount of data from social media platforms is not only voluminous, it is also heterogenous in the sense that it contains both nominal and numeral values from different places, it is variable in that it has unpredictable flow, it is fast because it is collected in real time. This qualifies the data to be Big Data and requires big data analytics to process.
References
Ivanov I. (2018) What is Big Data Analytics on Social Media? Iocowise. Retrieved from https://locowise.com/blog/what-is-big-data-analytics-on-social-media
Nicora R. (2019) How is big data impacting social media? Medium. Retrieved from https://medium.com/dative-io/how-is-big-data-impacting-social-media-df31aa3f66f6
1
4
Title
Student Name
Ashford University
GEN103: Information Literacy
Instructor Name
Month Day, Year
Title
Research Question:
Replace these instructions with your research question. Incorporate any feedback your instructor provided on your week 1 assignment. To learn how to view the comments on your papers watch the Waypoint: Accessing Assignment Feedback video.
Thesis Statement:
Replace these instructions with your thesis statement. Refer to the Writing Center’.
This is a citizen science overview particularly aimed at graduate students enrolled in a new course at Arizona State University, aptly titled "Citizen Science." The author of this presentation, and course instructor, Darlene Cavalier, will talk students through its nuances and intersections with science, technology, and society.
A presentation by Kathryn Eccles and Eric Meyer to the JISC workshop 'Analysing Digital Audiences for First World War Digital Content' held on 06 Septmber 2011.
Reinventing Research? Information Practices in the Humanites LaunchEric Meyer
These slides are from the launch event for the RIN report on how humanities scholars use information sources. For the full report, please visit: http://www.rin.ac.uk/humanities-case-studies
Sharing ideas and sharing data: Researchers and Web 2.0Eric Meyer
Title: Sharing ideas and sharing data: Researchers and Web 2.0
Presenters: Lucy Power and Eric T. Meyer
Abstract: In this presentation, two case studies will be used to illustrate the types of incentives and barrier researchers face when deciding to share ideas and data using Web 2.0 tools and resources. The first case, Friendfeed, is a tool used by life scientists to disseminate, filter and discuss research and professional issues and ideas. The second case is about geospatial map sharing, early efforts to share maps that were hindered by legal barriers, and recent successful efforts to change the law in a way that will enable much more sharing. In both of these cases, researchers had a number of similar incentives to share, but also barriers to doing so. Among the incentives were a desire for openness in science, the benefits of networks, advantages of scale, and the ability to share the effort it takes to filter complex ideas and data. Barriers to sharing, however, include cultural differences among fields and institutions, institutional and individual concerns about protecting intellectual property, and the challenge of changing research behaviours. In both cases, technological limitations were not a particular barrier to sharing, unlike some common perceptions of the challenges of engaging researchers with technology.
Presentations from Oxford Internet Institute, the Internet Archive, and Hanzo Archives Ltd presenting the results of a JISC-NEH funded transatlantic digitisation project.
ASIS&T ProQuest Dissertation of the Year Award PresentationEric Meyer
Presentation of "Socio-Technical Perspectives on Digital Photography: Scientific Digital Photography Use by Marine Mammal Researchers" at the 2008 ASIS&T Annual Meeting in Columbus, Ohio (October 27). This presentation was of work that was awarded the ASIS&T ProQuest Doctoral Dissertation of the Year.
e-Social Science as an Experience Technology: Distance From, and Attitudes To...Eric Meyer
Presentation for the 4th International Conference on e-Social Science, University of Manchester, 19 June 2008. Paper associated with this presentation available: Dutton, William H. and Meyer, Eric T, “e-Social Science as an Experience Technology: Distance from, and Attitudes Toward, E-Research" (June 19, 2008). Available at SSRN: http://ssrn.com/abstract=1150422
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
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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/
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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
1. Oxford Internet Institute Summer Doctoral Programme
iSchool, University of Toronto
July 2013
Big Data in the Social Sciences
Slides produced with:
Ralph Schroeder, Professor & MSc Programme Director
Dr Eric T. Meyer
Research Fellow & DPhil Programme Director
eric.meyer@oii.ox.ac.uk
http://www.oii.ox.ac.uk/people/?id=120
@etmeyer
2. Source: Leonard John Matthews, CC-BY-SA (http://www.flickr.com/photos/mythoto/3033590171)
3. Big data are data that are unprecedented in scale and scope
in relation to a given phenomenon.They are often streams
of data (rather than fixed datasets), accumulating large volumes,
often at high velocity.
Is the tail of the availability of big data and computational
methods wagging the dog of good research questions and
advancing social science?
If not, how do big data advance research?
What are the opportunities and challenges?
5. BusinessValue versus AcademicValue
Strategic Knowledge
• Generally time-limited (with exceptions)
• Value comes from knowing what your competitors don’t
• Often has high monetary value if it can be exploited
6. Durable Knowledge
• Less time-limited (with exceptions)
• Value comes from adding to the world’s knowledge (the global
brain is cumulative/scientific)
• Rarely has direct monetary value, but has value in terms of
creating the possibility both of future knowledge and of future
exploitation and commercial uses
BusinessValue versus AcademicValue
8. Is there a risk that the (big data) tail will
wag the (research) dog?
Image source: Leonard John Matthews, CC-BY-SA
(http://www.flickr.com/photos/mythoto/3033590171)
9. ?
?
?
?
?
?
?
?
?
“Surprisingly, the distribution of
types of search query did not vary
significantly across the different
Lifestyle Groups (p>0.01).”
Source: Waller, V. (2011). “Not Just Information:Who Searches for What on the Search Engine Google?” Journal of the American Society for Information Science &
Technology 62(4): 761-775.
10. Case 1: Search engine behaviour
Waller’s analysis ofAustralian Google Users
Key findings:
Mainly leisure
< 2% contemporary issues
No perceptible ‘class’ differences
Novel advance:
Unprecedented insight into what people search for
Challenge:
Replicability
Securing access to commercial data
12. Case 2: Large-scale text analysis
Michel et al. ‘culturomic’ analysis of 5 Million Digitized Google
Books and Heuser & Le-Khac of 2779 19th Century British
Novels
Key findings:
Patterns of key terms
Industrialization tied to shift from abstract to concrete
words
Novel advance:
Replicability, extension to other areas, systematic
analysis of cultural materials
Challenge:
Data quality
13. Case 3:Twitter-bots
OII master’s students Alexander Furnas and Devin Gaffney saw a large spike in then-US
presidential candidate Mitt Romney’sTwitter followers, and decided to look at the new
followers:
Furnas, A. and Gaffney, D. (2012). ‘Statistical Probability That Mitt Romney's New Twitter Followers Are Just Normal Users: 0%’. The Atlantic, July
31, http://www.theatlantic.com/technology/archive/2012/07/statistical-probability-that-mitt-romneys-new-twitter-followers-are-just-normal-users-0/260539/ (accessed August 31, 2012).
14. Conclusions
Savage and Burrows?, who ask are commercial data outpacing
social science?
Boyd and Crawford?, who ask if big data raise ethical and
epistemological conundrums?
... Not entirely ...
The connection between research technologies and the
advance of knowledge
The threats and opportunities represented by unprecedented
windows into people’s minds and thoughts
Does this lead to more ‘scientific’ (i.e. cumulative) social
sciences and humanities?
16. Additional readings and references
Bond, Robert et al. (2012). ‘A 61-million-person experiment in social influence and political
mobilization’, Nature 489: 295–298.
Bruns,A. and Liang,Y.E. (2012). ‘Tools and methods for capturingTwitter data during natural disasters’, First
Monday, 17 (4 – 2), http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/viewArticle/3937/3193
Furnas, A. and Gaffney, D. (2012). ‘Statistical ProbabilityThat Mitt Romney's NewTwitter Followers Are Just
Normal Users: 0%’. The Atlantic, July 31, http://www.theatlantic.com/technology/archive/2012/07/statistical-
probability-that-mitt-romneys-new-twitter-followers-are-just-normal-users-0/260539/ (accessed August
31, 2012).
Giles, J. (2012). ‘Making the Links: From E-mails to Social Networks, the DigitalTraces left Life in the
ModernWorld areTransforming Social Science’, Nature, 488: 448-50.
Kwak, H. et al. (2010). ‘What isTwitter, a Social Network or a News Media?’ Proceedings of the 19th
InternationalWorldWide Web (WWW) Conference, April 26-30, 2010, Raleigh NC.
Manyika, J. et al. (2011). ‘Big data: the next frontier for innovation, competition and productivity’, McKinsey
Global Institute, available at: http://www.mckinsey.com/insights/mgi/research/technology_and_innovation/
big_data_the_next_frontier_for_innovation (last accessed August 29, 2012).
Silver, Nate. (2012). The Signal and the Noise:The Art and Science of Prediction. London:Allen Lane.
Tancer, B. (2009). Click:What Millions of People are Doing Online andWhy It Matters. NewYork: Harper
Collins, 2009.
Wu, S. , J.M. Hofman,W.A. Mason, and D.J. Watts, (2011). ‘Who says what to whom on twitter’, Proceedings
of the 20th international conference onWorldWideWeb. (on DuncanWatts
webpage, http://research.microsoft.com/en-us/people/duncan/, last accessed August 29, 2012).
17. With support from:
Dr Eric T. Meyer
Research Fellow & DPhil Programme Director
eric.meyer@oii.ox.ac.uk
http://www.oii.ox.ac.uk/people/?id=120
@etmeyer
Editor's Notes
Show increasing value graph and something showing store of knowledge
Show increasing value graph and something showing store of knowledge
Show increasing value graph and something showing store of knowledge
Implications for STSPolicy implicationsPractice implicationsIntermediation (algorithms between researchers and their artifacts) and disintermediation (more direct access to traces of people’s behaviour)Researchers getting both more distant from their objects of research and closer to their objects of research, and both have important implicationsEngagement with businessStrategic value versus academic valueShort term business knowledge versus durable knowledge