Presentation given by Vanitha Swaminathan (University of Pittsburgh) and Tom Brown (Oklahoma State University) on February 15, 2015 at the special DocSIG session of the American Marketing Association Winter Educators Conference.
Research projects – the process
Standard activities in research projects
Creating a GANTT Chart
Risk management
Project tracking
Research projects – the outputs
Documentation – classic structure
Basic writing skills
Harvard referencing
Plagiarism
In this presentation, the author will discuss the challenges of managing multiple projects in terms of the project size, the project complexity level, and the difficulties from leading the project team across different geographies. The author will share the experiences of how to maintain the projects on track, how to successfully drive several projects simultaneously, and how to challenge as well as to be challenged during the project management. At the end of this presentation, the author will address the strategy of avoiding project overload and managing the work life balance.
Research projects – the process
Standard activities in research projects
Creating a GANTT Chart
Risk management
Project tracking
Research projects – the outputs
Documentation – classic structure
Basic writing skills
Harvard referencing
Plagiarism
In this presentation, the author will discuss the challenges of managing multiple projects in terms of the project size, the project complexity level, and the difficulties from leading the project team across different geographies. The author will share the experiences of how to maintain the projects on track, how to successfully drive several projects simultaneously, and how to challenge as well as to be challenged during the project management. At the end of this presentation, the author will address the strategy of avoiding project overload and managing the work life balance.
My IA Summit 2008 Pre-Con on Backcasting for Information Architects. Includes info on conducting the method and using the ORID facilitation framework to support the backcasting method.
Reading academic papers is one of the most important parts of scientific research. However, junior graduate students may spend a lot of time learning how to read papers efficiently and effectively. In this talk, I will discuss some basic issues and introduce useful websites/tools/tips for paper reading.
Training Slides of Introduction toTech Communication &Project Management, discussing the importance of Project Management.
For further information regarding the course, please contact:
info@asia-masters.com
www.asia-masters.com
Balancing Theory With Hot Topic Relevant Research - Andrew StephenAMA DocSIG
This presentation was given by Andrew Stephen, University of Pittsburgh, at a pre-conference of the 2015 American Marketing Association Winter Marketing Educators Conference in San Antonio, TX.
My IA Summit 2008 Pre-Con on Backcasting for Information Architects. Includes info on conducting the method and using the ORID facilitation framework to support the backcasting method.
Reading academic papers is one of the most important parts of scientific research. However, junior graduate students may spend a lot of time learning how to read papers efficiently and effectively. In this talk, I will discuss some basic issues and introduce useful websites/tools/tips for paper reading.
Training Slides of Introduction toTech Communication &Project Management, discussing the importance of Project Management.
For further information regarding the course, please contact:
info@asia-masters.com
www.asia-masters.com
Balancing Theory With Hot Topic Relevant Research - Andrew StephenAMA DocSIG
This presentation was given by Andrew Stephen, University of Pittsburgh, at a pre-conference of the 2015 American Marketing Association Winter Marketing Educators Conference in San Antonio, TX.
This presentation was given by Leigh McAlister, University of Texas at Austin, at a pre-conference of the 2015 American Marketing Association Winter Marketing Educators Conference in San Antonio, TX.
Coming Up With Relevant Research Ideas - Mary Jo BitnerAMA DocSIG
This presentation was given by Mary Jo Bitner, Arizona State University, at a pre-conference of the 2015 American Marketing Association Winter Marketing Educators Conference in San Antonio, TX.
DISNEY DOES DATA: Data management implications of using animated video as tra...Louise Patterton
ABSTRACT The Network of Data and Information Curation Communities (NeDICC) created an animated video as study material for librarians attending RDM workshops. It was thought that the concept of a YouTube-uploaded animated video as training tool would provide a refreshing, unconventional and humorous mode of teaching concerning a subject area currently not understood my many librarians. Taking into account ease of use, affordability, customization options as well as proven track record, GoAnimate was chosen as video platform.
Data product implications for creators/curators of the video were numerous, and include intellectual property rights, sharing intent, format and restrictions, mobile device issues, preservation formats, conversion tools, and storage and backup locations. Speed of video technology evolvement, the benefits of a data management plan for the smallest of research outputs, the need for familiarization with ownership issues and IP rights when making use of web-based animation, and the omnipresent threat of format obsolescence as well as the possible future limitations of proprietary software, are some of the learnings gained.
The 2015 MMA Doctoral Student Teaching Consortium is designed to help future faculty develop innovative approaches to classroom instruction and career planning. The Consortium will be held in conjunction with the MMA Fall Educators’ Conference which has a focus on teaching effectiveness in marketing education. Visit the conference webpage for the Conference Call for Papers, Pre-conference Workshops,
and the Teacher-Scholar Doctoral Student Competition Call for Submissions.
INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Getting Started in Project Management for Librarians - Metropolitan New York ...Lisa Chow
Whether you’re organizing an event, renovating or rearranging a space, creating a program, or implementing a grant, you’re managing a project. Project management can help you manage projects more effectively and efficiently. Learn tools and techniques for successfully planning, organizing, and administering projects. To best respond to the constantly changing library world we will be sharing principles and concepts from design thinking and agile project management.
By the end of this workshop, participants will:
Receive a basic overview of iterative and agile-like project management from a design thinking perspective
Gain knowledge to successfully manage a project cycle from start to finish through hands-on activities and exercises
Receive a project management toolkit
Learn about tools, strategies, and techniques to manage projects and teams better
Digital Art History: From Practice to PublicationSusan Edwards
Presentation given at colloquium during Beyond the Digitized Slide Library, a summer institute at UCLA in July 2015. More info: http://www.humanities.ucla.edu/getty/ #doingdah15
Writing and Publishing about Applied Technologies in Tech Journals and BooksShalin Hai-Jew
This slideshow provides insights on how to write and publish about applied technologies in tech journals and books, including the following:
Getting started in tech publishing
Cost-benefit calculations
Parts to an article; parts to a chapter
Writing process
Collaborating
Publishing process
Acquiring readers (and citations)
Post-publishing
Next works
Wrap up the rest of the year with smoother well-defined projects and a toolbox of skills and resources to help you organize and bring projects to life. Whenever you are putting a project together, it is essential to keep timelines in check, follow up, and watch out for scope creep. In this webinar, Brian Pichman will discuss different project management techniques and tools to help you not only have a successful project but more importantly, a well defined and detailed project launch. By having a solid foundation and a few easy-to-use tools, you can significantly reduce that project management stress and be more excited for the next project you tackle!
Start the new decade off, with help creating a toolbox of skills and resources to help you organize and bring projects to life.
Whenever you are putting a project together, it is essential to keep timelines in check, follow up, and watch out for scope creep. In this webinar, Brian Pichman will discuss different project management techniques and certifications to help you not only have a successful project but more importantly, a well defined and detailed project launch.
By having a solid foundation and a few easy-to-use tools, you can significantly reduce that project management stress and be more excited for the next project you tackle!
Wrap up the rest of the year with smoother well-defined projects and a toolbox of skills and resources to help you organize and bring projects to life. Whenever you are putting a project together, it is essential to keep timelines in check, follow up, and watch out for scope creep. In this webinar, Brian Pichman will discuss different project management techniques and tools to help you not only have a successful project but more importantly, a well defined and detailed project launch. By having a solid foundation and a few easy-to-use tools, you can significantly reduce that project management stress and be more excited for the next project you tackle!
Identifying digital optimization areas in peer review and making Agile improv...Scholastica
Brian Cody, Scholastica Co-Founder and CEO, discusses how to spot digital optimization opportunities in peer review and employ Agile project management principles to make iterative process improvements throughout the year. Brian overviews how the concept of “Agile” project management originated in software development, as a way to break large projects into more manageable chunks, and how journals can apply Agile project management principles to peer review audits and updates using real case studies.
Having trouble developing your dissertation or thesis proposal? Its like skydiving... you're in control and choose where you go, but the hardest part is jumping off. This slideshow provides an overview of the proposal development process. This is a presentation developed through the Graduate Resource Center at the University of New Mexico.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Analysis insight about a Flyball dog competition team's performance
Perfect Practices and Perils in Research Project Management
1. Perfect Practices and Perils in
Research Project Management
Vanitha Swaminathan
University of Pittsburgh
Tom Brown
Oklahoma State University
2. Two Quick Thoughts…
• The research process is messy and non-linear
(and therefore fraught with peril…)
3. • The research process is messy and non-linear
(and therefore fraught with peril…)
• Project management is a learned skill
(and learning best practices can be helpful)
Two Quick Thoughts…
4. • Survey of leading scholars
• Open-ended survey (N=25)
Questions:
(1) Please identify two or three issues you have faced
while managing research projects.
(2) Please provide your recommended solutions to the
issues you have faced in managing research projects.
Perfect Practices and Perils of
Research Project Management
5. Typical research projects involve multiple stages
Idea
Generation
Lit
Review
Study
design
Data
collection
Analysis
Writing
Paper
6. Working with Co-authors
KEY ISSUES
(1) Selecting Co-authors
(2) Communication
(3) Timing Issues
(4) Working Styles/ Skills
7. (1) Working with Co-authors: Selecting Co-authors
• Only work with hard-working/motivated
colleagues.
• Have different projects with different co-
authors, so that your work does not come to a
stand still. Even as a PhD student, make sure
to have one project with a team that does not
include your advisor.
8. (2) Working with Co-authors: Communication
• A clear author hierarchy can help with the
arguments; but the best process remains to
talk about it. Presenting existing papers that
support your view can also help.
• Upfront and often - perhaps during each
round of review - discuss team members' roles
and responsibilities (who is first author? what
does that entail?)
• Setting expectations [is important].
9. (3) Working with Co-authors: Timing Issues
• Don't leave yourself hanging. Be polite, but
stay in control of the process. Instead of just
sending them the paper and review notes and
ask them to proof it carefully and provide edits
by a certain date, make it clear that you will
move on after that date. Say something like
"Here is the revised manuscript and review
notes that we will submit on XX. I know you
have a lot on your plate, but we would love to
have your feedback -- we can incorporate
anything you send by XX."
10. (3) Working with Co-authors: Timing Issues
• Be upfront about time constraints. Let others
know when you will have the work done and
meet those goals.
• Communicate clearly and directly with co-
authors what they have to deliver when.
Works or does not work depending on the co-
author. Again also deadlines can help to keep
co-authors on track.
11. (4) Working with Co-authors: Working Styles/Skills
• Portfolio management. Move with the faster
co-author while showing patience to the
slower co-author. Attempts to slow the fast or
prod the slow results in nothing but frustration
for everyone.
• Identify co-author strengths and assign
responsibility accordingly, e.g., some are good
at data analysis, others are good at writing,
others are the best "finishers" (formatting,
referencing, submitting, dealing with reviews)
13. (1) Managing Projects: Choice of Project
• To make sure that both the co-author AND the
project itself are both something that you
want to spend time with/on. If the project is
not interesting, or if the co-author has
different working style there could problems
down the line.
14. (1) Managing Projects: Choice of Project
• Sometimes I have gotten greedy and worked
on projects that go nowhere - one of the
reasons is that the topic itself was much too
far away from what I would have liked to work
on ideally but the desire to work with a
particular co-author made me accept the
project. I think it is okay to be picky.
15. (1) Managing Projects: Choice of Project
• After reading countless current articles of
great rigor and almost no relevance, I guess I
need to become an Associate Editor or Editor
as attempts to facilitate change from the
outside have been unsuccessful. Rigor seems
to be the current editorial standard.
Managerial Implications are rarely a priority.
Moreover, many of our constituent groups
seek relevance while our accrediting bodies
and administrators seek publications in the
Journal of ... It's a game with few winners.
16. (2) Managing Projects: Number of Projects
• I am beginning a concerted effort to “lead”
fewer projects. I’d like to take a management
approach, where I lead some and provide
advice and guidance on others.
• I guess timing the different projects is crucial.
Have just the right number that you can
manage and maybe feel just a little bit
pushed. Too few means the pipeline is too
short and the productivity might be low; too
many means that you cannot put in the kind of
effort that you should be on all the projects.
17. (3) Managing Projects: Time Management
• Better time management, blocking days in
agenda for working on research. But this is
particularly challenging in teaching intense
times. Sometimes it also helps to have some
deadlines where progress has to be made, for
instance conference presentations. Also
special issues with a fixed submission date
help here.
18. (3) Managing Projects: Time Management
• Provide disproportionate time to projects that
are closest to submission/resubmission. Do
data collection during teaching semesters.
• The best I have been able to do is not let other
job responsibilities crowd out research
projects.
19. (4) Managing Projects: Organization
• Work first on a PowerPoint "presentation"
(because its not really a presentation, its
merely an evolving plan of the project), and
then meeting regularly, either face-to-cafe or
online, to build on and flesh out the
PowerPoint presentation, until it looks like
something that one might present at a
conference or to summarize a journal article.
Then one has a good picture of what the final
paper will look like, and the real work can
begin"
20. (4) Managing Projects: Organization
• Keep a detailed list of "next steps" for each
project including small things (e.g., "double
check the accuracy of the Smith reference") as
well as large things (e.g., "re-run analysis with
new data") so that no window of time is
wasted. When one project is on a coauthor's
desk, put your head down and plow through
your list on another project.
22. Why Choose to Co-author?
• Better ideas (two heads are better than one)
• Share the workload
• Focus on strengths
• More fun
• Speeds up projects (IF schedules are coordinated)
• Allows more ongoing projects
• Potential for deepening friendships
22
23. Best Practices
(but… do as I say, not as I do)
• Identify everyone’s role in advance (including who will be
first author/leader)
• Develop a timeline in advance
• If collecting a large dataset (with possible multiple
publications), specify who gets to use data and under
what conditions
• When you find a great partner…foster that relationship
for all it’s worth!
• Communicate, communicate, communicate …and then
communicate some more
23
24. Worst Practices
• Don’t agree to a research partnership unless you have
the time to be a good partner
– Corollary: Don’t take on too many projects
• Don’t agree to a research partnership just because a
friend is asking
• NEVER force yourself onto a project because of your
stature or position
– Corollary: When pressured by a faculty member with
power over you, ___________.
• Don’t take advantage of your research partners
24