Scientists used over 1 million home computers linked together to test potential drug compounds for treating anthrax. They were able to test 3.5 billion molecules in just 24 days, far more than any pharmaceutical company could test alone. The researchers identified 12,000 potential drug candidates, including antitoxins that could counter the lethal effects of the anthrax bacteria. This worldwide distributed computing project showed that harnessing vast computing resources in this way could lead to medical breakthroughs much faster than traditional methods.
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...GigaScience, BGI Hong Kong
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: the reproducibility crisis, and the need for transparency. Melbourne University 19th September 2014
2014 CrossRef Annual Meeting Keynote: Ways and Needs to Promote Rapid Data Sh...Crossref
Keynote address: "Ways and Needs to Promote Rapid Data Sharing" by Laurie Goodman of GigaScience.
Data is the base upon which all scientific discoveries are built, and data availability speeds the rate at which discoveries are made. Given that the overall goal for research is to improve human health and our environment, waiting to release data until after the first publication (sometimes taking years) is unacceptable. There are myriad issues that impede researchers from openly, and most importantly, rapidly sharing data, including lack of incentives: no credit, limited funding benefits, and little impact on career advancement; and cultural issues: the fear of being scooped. However, scientific publishers —the communicators of science and a key mechanism by which a researcher’s productivity is measured— can, and should, play a central role in promoting data sharing. Data citation and publication are just some of the ways we can support and encourage researchers who share data. Here, I will provide examples to help make clear the need for publishers to play an active role in this process and provide potential ways to facilitate our ability to promote open and rapid data sharing. This is not easy; but it is essential.
Collaboraive sharing of molecules and data in the mobile ageSean Ekins
An overview of using collaborative software in small and large scale collaborations in drug discovery. A focus on Tuberculosis. Also analysis of collaboration and mobile apps for science
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...GigaScience, BGI Hong Kong
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: the reproducibility crisis, and the need for transparency. Melbourne University 19th September 2014
2014 CrossRef Annual Meeting Keynote: Ways and Needs to Promote Rapid Data Sh...Crossref
Keynote address: "Ways and Needs to Promote Rapid Data Sharing" by Laurie Goodman of GigaScience.
Data is the base upon which all scientific discoveries are built, and data availability speeds the rate at which discoveries are made. Given that the overall goal for research is to improve human health and our environment, waiting to release data until after the first publication (sometimes taking years) is unacceptable. There are myriad issues that impede researchers from openly, and most importantly, rapidly sharing data, including lack of incentives: no credit, limited funding benefits, and little impact on career advancement; and cultural issues: the fear of being scooped. However, scientific publishers —the communicators of science and a key mechanism by which a researcher’s productivity is measured— can, and should, play a central role in promoting data sharing. Data citation and publication are just some of the ways we can support and encourage researchers who share data. Here, I will provide examples to help make clear the need for publishers to play an active role in this process and provide potential ways to facilitate our ability to promote open and rapid data sharing. This is not easy; but it is essential.
Collaboraive sharing of molecules and data in the mobile ageSean Ekins
An overview of using collaborative software in small and large scale collaborations in drug discovery. A focus on Tuberculosis. Also analysis of collaboration and mobile apps for science
Jean-Claude Bradley presents on "Open Notebook Science in Drug Discovery" at the Easing the Bottleneck in Drug Discovery Conference - Industry and Academia panel, on August 24, 2010 in Philadelphia.
Jean-Claude Bradley and Andrew Lang present on "Open Notebook Science for Research and Teaching" on February 18, 2010 at the National Institute for Technology in Liberal Education. A few examples of the use of ONS in chemistry are outlined followed by details of the Web2.0 tools implemented. The end of the presentation covers new work on how to archive Open Notebooks and all supporting documentation.
Jean-Claude Bradley presents a 15 minute overview of the research in his laboratory as part of the Drexel Chemistry department Fall 09 MiniSymposium on October 1, 2009. The talk is entitled: The synthesis of anti-malarial compounds using the Ugi reaction and Collaboration using social software.
The Open Drug Discovery Teams (ODDT) project provides a mobile app primarily intended as a research topic aggregator of predominantly open science data collected from various sources on the internet. It exists to facilitate interdisciplinary teamwork and to relieve the user from data overload, delivering access to information that is highly relevant and focused on their topic areas of interest. Research topics include areas of chemistry and adjacent molecule-oriented biomedical sciences, with an emphasis on those which are most amenable to open research at present. These include rare and neglected diseases, and precompetitive and public-good initiatives such as green chemistry.
The ODDT project uses a free mobile app as user entry point. The app has a magazine-like interface, and server-side infrastructure for hosting chemistry-related data as well as value added services. The project is open to participation from anyone and provides the ability for users to make annotations and assertions, thereby contributing to the collective value of the data to the engaged community. Much of the content is derived from public sources, but the platform is also amenable to commercial data input. The technology could also be readily used in-house by organizations as a research aggregator that could integrate internal and external science and discussion. The infrastructure for the app is currently based upon the Twitter API as a useful proof of concept for a real time source of publicly generated content. This could be extended further by accessing other APIs providing news and data feeds of relevance to a particular area of interest. As the project evolves, social networking features will be developed for organizing participants into teams, with various forms of communication and content management possible.
Jean-Claude Bradley presents an overview of Open Notebook Science at a Columbia panel on Open Science on February 19, 2009. The content of this presentation is targeted to a library services audience.
Jean-Claude Bradley presented on "Open Notebook Science" at the Digital Science panel at the NSF IGERT meeting in Washington, D.C on May 24, 2010. This is an abbreviated version covering the need for more openness in scientific communication and some examples of how that can be done using wikis, Google Spreadsheets and other free hosted services.
Science, Technology, Engineering
3.1. Describe Goal of technology
3.2. Identify different types of technology: application of science
3.3. Determine how science and technology both positively and negatively influence your life (risk/benefit analysis)
3.4. Describe the scientific solution process
3.5. Describe technology design, explain what a patents are
Jean-Claude Bradley presents on "Peer Review and Science2.0: blogs, wikis and social networking sites" as a guest lecturer for the “Peer Review Culture in Scholarly Publication and Grantmaking” course at Drexel University. The main thrust of the presentation is that peer review alone is not capable of coping with the increasing flood of scientific information being generated and shared. Arguments are made to show that providing sufficient proof for scientific findings does scale and weakens the tragedy of the trusted source cascade.
ISMB/ECCB 2013 Keynote Goble Results may vary: what is reproducible? why do o...Carole Goble
Keynote given by Carole Goble on 23rd July 2013 at ISMB/ECCB 2013
http://www.iscb.org/ismbeccb2013
How could we evaluate research and researchers? Reproducibility underpins the scientific method: at least in principle if not practice. The willing exchange of results and the transparent conduct of research can only be expected up to a point in a competitive environment. Contributions to science are acknowledged, but not if the credit is for data curation or software. From a bioinformatics view point, how far could our results be reproducible before the pain is just too high? Is open science a dangerous, utopian vision or a legitimate, feasible expectation? How do we move bioinformatics from one where results are post-hoc "made reproducible", to pre-hoc "born reproducible"? And why, in our computational information age, do we communicate results through fragmented, fixed documents rather than cohesive, versioned releases? I will explore these questions drawing on 20 years of experience in both the development of technical infrastructure for Life Science and the social infrastructure in which Life Science operates.
Scientific research is increasingly dependent on publicly avail-
able information and data sharing. So far, the best practices to ensure
that data is accessible and shareable has been to deposit it in public
repositories. However, these repositories often fail to implement mech-
anisms that measure data quality, which could lead to improving the
discoverability of existing data, and contribute to its future integration.
In light of this, we present Metadata Analyser, a tool that measures
metadata quality. It assesses the quality of metadata by considering the
proportion of terms actually linked to ontology concepts, as well as the
specificity of the terms used in the metadata. Metadata Analyser applied
to Metabolights, a real-world repository of metabolomics data, and re-
sults show that the tool successfully implements the proposed measures,
that there is indeed a lack of effort in the annotation task, and that our
tool can be used to improve this situation. Metadata Analyser’s frontend
is available at http://masterweb-metadataanalyser.rhcloud.com.
Jean-Claude Bradley presents on "Open Education in Chemistry Research and Classroom" at the Philadelphia University of Sciences on January 11, 2011. The talk covers screencasting, wikis, chemical information validation, Open Notebook Science and smartphones.
No Boundary Thinking in Bioinformatics Workshop KeynoteCasey Greene
"The bounty of the commons"
In this talk, we explore how public data can become more valuable with reuse. This reuse helps us get to the bottom of cases where we are certain and wrong and helps us ask better questions.
Using ADAGE for pathway-style analysesCasey Greene
This talk was given at the Simons Institute Network Biology workshop. A video of the talk is available online:
https://www.youtube.com/watch?v=HpXDoMi4YO8
Jean-Claude Bradley presents on "The implications of Open Notebook Science and other new forms of scientific communication for Nanoinformatics" at the Nanoinformatics 2010 conference on November 3, 2010. The presentation first covers the use of the laboratory knowledge management system SMIRP for nanotechnology applications during the period of 1999-2001 at Drexel University. The exporting of single experiments from SMIRP and publication to the Chemistry Preprint Archive is then described followed by the evolution to Open Notebook Science in 2005. Abstraction of semantic structure from ONS projects in the areas of drug discovery and solubility is then detailed as an efficient mechanism to provide web services and machine readable data feeds.
Jean-Claude Bradley presents on "Open Notebook Science in Drug Discovery" at the Easing the Bottleneck in Drug Discovery Conference - Industry and Academia panel, on August 24, 2010 in Philadelphia.
Jean-Claude Bradley and Andrew Lang present on "Open Notebook Science for Research and Teaching" on February 18, 2010 at the National Institute for Technology in Liberal Education. A few examples of the use of ONS in chemistry are outlined followed by details of the Web2.0 tools implemented. The end of the presentation covers new work on how to archive Open Notebooks and all supporting documentation.
Jean-Claude Bradley presents a 15 minute overview of the research in his laboratory as part of the Drexel Chemistry department Fall 09 MiniSymposium on October 1, 2009. The talk is entitled: The synthesis of anti-malarial compounds using the Ugi reaction and Collaboration using social software.
The Open Drug Discovery Teams (ODDT) project provides a mobile app primarily intended as a research topic aggregator of predominantly open science data collected from various sources on the internet. It exists to facilitate interdisciplinary teamwork and to relieve the user from data overload, delivering access to information that is highly relevant and focused on their topic areas of interest. Research topics include areas of chemistry and adjacent molecule-oriented biomedical sciences, with an emphasis on those which are most amenable to open research at present. These include rare and neglected diseases, and precompetitive and public-good initiatives such as green chemistry.
The ODDT project uses a free mobile app as user entry point. The app has a magazine-like interface, and server-side infrastructure for hosting chemistry-related data as well as value added services. The project is open to participation from anyone and provides the ability for users to make annotations and assertions, thereby contributing to the collective value of the data to the engaged community. Much of the content is derived from public sources, but the platform is also amenable to commercial data input. The technology could also be readily used in-house by organizations as a research aggregator that could integrate internal and external science and discussion. The infrastructure for the app is currently based upon the Twitter API as a useful proof of concept for a real time source of publicly generated content. This could be extended further by accessing other APIs providing news and data feeds of relevance to a particular area of interest. As the project evolves, social networking features will be developed for organizing participants into teams, with various forms of communication and content management possible.
Jean-Claude Bradley presents an overview of Open Notebook Science at a Columbia panel on Open Science on February 19, 2009. The content of this presentation is targeted to a library services audience.
Jean-Claude Bradley presented on "Open Notebook Science" at the Digital Science panel at the NSF IGERT meeting in Washington, D.C on May 24, 2010. This is an abbreviated version covering the need for more openness in scientific communication and some examples of how that can be done using wikis, Google Spreadsheets and other free hosted services.
Science, Technology, Engineering
3.1. Describe Goal of technology
3.2. Identify different types of technology: application of science
3.3. Determine how science and technology both positively and negatively influence your life (risk/benefit analysis)
3.4. Describe the scientific solution process
3.5. Describe technology design, explain what a patents are
Jean-Claude Bradley presents on "Peer Review and Science2.0: blogs, wikis and social networking sites" as a guest lecturer for the “Peer Review Culture in Scholarly Publication and Grantmaking” course at Drexel University. The main thrust of the presentation is that peer review alone is not capable of coping with the increasing flood of scientific information being generated and shared. Arguments are made to show that providing sufficient proof for scientific findings does scale and weakens the tragedy of the trusted source cascade.
ISMB/ECCB 2013 Keynote Goble Results may vary: what is reproducible? why do o...Carole Goble
Keynote given by Carole Goble on 23rd July 2013 at ISMB/ECCB 2013
http://www.iscb.org/ismbeccb2013
How could we evaluate research and researchers? Reproducibility underpins the scientific method: at least in principle if not practice. The willing exchange of results and the transparent conduct of research can only be expected up to a point in a competitive environment. Contributions to science are acknowledged, but not if the credit is for data curation or software. From a bioinformatics view point, how far could our results be reproducible before the pain is just too high? Is open science a dangerous, utopian vision or a legitimate, feasible expectation? How do we move bioinformatics from one where results are post-hoc "made reproducible", to pre-hoc "born reproducible"? And why, in our computational information age, do we communicate results through fragmented, fixed documents rather than cohesive, versioned releases? I will explore these questions drawing on 20 years of experience in both the development of technical infrastructure for Life Science and the social infrastructure in which Life Science operates.
Scientific research is increasingly dependent on publicly avail-
able information and data sharing. So far, the best practices to ensure
that data is accessible and shareable has been to deposit it in public
repositories. However, these repositories often fail to implement mech-
anisms that measure data quality, which could lead to improving the
discoverability of existing data, and contribute to its future integration.
In light of this, we present Metadata Analyser, a tool that measures
metadata quality. It assesses the quality of metadata by considering the
proportion of terms actually linked to ontology concepts, as well as the
specificity of the terms used in the metadata. Metadata Analyser applied
to Metabolights, a real-world repository of metabolomics data, and re-
sults show that the tool successfully implements the proposed measures,
that there is indeed a lack of effort in the annotation task, and that our
tool can be used to improve this situation. Metadata Analyser’s frontend
is available at http://masterweb-metadataanalyser.rhcloud.com.
Jean-Claude Bradley presents on "Open Education in Chemistry Research and Classroom" at the Philadelphia University of Sciences on January 11, 2011. The talk covers screencasting, wikis, chemical information validation, Open Notebook Science and smartphones.
No Boundary Thinking in Bioinformatics Workshop KeynoteCasey Greene
"The bounty of the commons"
In this talk, we explore how public data can become more valuable with reuse. This reuse helps us get to the bottom of cases where we are certain and wrong and helps us ask better questions.
Using ADAGE for pathway-style analysesCasey Greene
This talk was given at the Simons Institute Network Biology workshop. A video of the talk is available online:
https://www.youtube.com/watch?v=HpXDoMi4YO8
Jean-Claude Bradley presents on "The implications of Open Notebook Science and other new forms of scientific communication for Nanoinformatics" at the Nanoinformatics 2010 conference on November 3, 2010. The presentation first covers the use of the laboratory knowledge management system SMIRP for nanotechnology applications during the period of 1999-2001 at Drexel University. The exporting of single experiments from SMIRP and publication to the Chemistry Preprint Archive is then described followed by the evolution to Open Notebook Science in 2005. Abstraction of semantic structure from ONS projects in the areas of drug discovery and solubility is then detailed as an efficient mechanism to provide web services and machine readable data feeds.
This paper presents an educational innovation project funded by the Vice-Rectorship of Innovation at the Open University of Catalonia (UOC) in order to foster –in the virtual learning environment typical of this university– collaborative work
Paradise Lost and The Right to Read is the Right to Minepetermurrayrust
Presented to UIUC CIRSS seminars to a mixed group of Library, CS, domain scientists with a great contingent of Early Career Researchers. Starts by honouring the creation of the wonderful NCSA Mosaic at UIUC in 1993 and the paradise of knowledge and community it opened. Then shows the gradual and tragic decline of the web into a megacorporate neocolonialist empire, where knowledge is sacrificed for money and power.
You have seen many of the slides before but the words are different and have been recorded.
Talk to EBI Industry group on Open Software for chemical and pharmaceutical sciences. Covers examples of chemistry , wit demos, and argues that all public knowledge should be Openly accessible
Published on May 18, 2016 by PMR
Talk to EBI Industry group on Open Software for chemical and pharmaceutical sciences. Covers examples of chemistry , wit demos, and argues that all public knowledge should be Openly accessible
- Enable learners moving to high school to have a short background of the lesson. This is sort of preparing themselves for better understanding of the entire lesson.
Please enjoy the latest issue of our weekly Newsletter. Disfruten la última edición de nuestro Boletin semanal. Desfrute da mais recente edição da nossa Newsletter semanal.
Introduction to Gene Mining Part A: BLASTn-off!adcobb
In this lesson, students will learn to use bioinformatics portals and tools to mine plant versions of human genes. Student handout and teacher resource materials are available at www.Araport.org, Teaching Resources (Community tab). Suitable for grades 9-12 or first year undergraduate students.
Scott Edmunds from GigaScience on 'Publishing in the Open Data Era", at the "Open, Crowdsource and Blockchain Science!" hangout at Hackerspace.sg, 23rd March 2015
The scientific scholarly literature now contains many millions of articles. The contain semi-structured information of high quality and veracity. We show how this resource can be converted to a universal Wikicite format and full-text indexed against Wikidata dictionaries. We now have > 5 million bibliographic records and over 200 dictionaries based in Wikidata properties and queriable by SPARQL.
Critical thinking in english. how to evaluate webpagesMariangel Carreño
Proyecto realizado en el año 2012 con alumnos de 6° año del Liceo N°1 Florida en la asignatura inglés como lengua extranjera sobre la Unidad Temática: Media, en particular sobre internet y cómo evaluar páginas webs.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.