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Master the Art of Preparing Scientific Presentations [Cheatsheet For Beginners]

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Master the Art of Preparing Scientific Presentations [Cheatsheet For Beginners]

Humans have been searching for answers to the world around them since the dawn of creation. Our scientific method was first fairly primitive and perhaps unsophisticated. We watched and reflected. But, as research methodologies and thinking paradigms evolved, we arrived at the modern period of enlightenment and science.

So, what is the current scientific method, and how can you discuss and explain your research outcomes to others accurately?

These are the two essential questions addressed in this blog. But before that, if you want to cut down your efforts to half while creating a scientific presentation, try the exclusive range of Google Slides templates by SlideUpLift!

What is the Scientific Method?

The scientific method is a technique of doing research that is based on theory creation, hypothesis generation, empirical testing, and theory modification if the hypothesis is rejected.

A scientific method, in essence, is a catch-all word for the procedure that every scientist use to objectively evaluate the world (and particular phenomena) around them.

The scientific method is the polar opposite of beliefs and cognitive biases, which are mainly irrational and frequently unconscious interpretations of various events that we rely on as a mental shortcut.

The scientific method in research, on the other hand, compels the thinker to analyze and test our methods of data interpretation holistically in order to achieve reliable and non-arbitrary results.

According to the Stanford Encyclopedia of Philosophy, Plato and Aristotle are thought to be the founders of the scientific method. They were among the first to use the scientific method, experimentation, and logical reasoning to try to defend and develop their thought process.

Examples of common scientific methods include:

  • Methodical observation
  • Experimentation
  • Reasoning inductively and deductively
  • Hypotheses and theories are developed and tested

All of the aforementioned methods are used by both scientists and companies to better understand the data and/or phenomena at hand.

Importance of Scientific Method in Today’s Era

Because our forefathers did not have as much information as we do, we currently live in an era of unparalleled data accessibility and connection, with over 2.5 quintillion bytes of data created every day. This has greatly expedited the generation of knowledge.

At the same time, such excessive data exposure makes us more susceptible to external influences, prejudices, and erroneous beliefs. These can undermine the objectivity of any research you do.

Scientific discoveries must be objective, verified, accurate, and consistent. The careful application of scientific methods in business world and science helps to assure appropriate data interpretation, replication of outcomes, and undeniable validity.

5-Step Process To Deliver a Ground-breaking Scientific Presentation

Whether you’re presenting a poster session, a conference lecture, or a follow-up presentation on a newly published journal article, the majority of your colleagues will want to know how you arrived at the results you’ve provided.

In other words, they will look for flaws in your scientific method to guarantee that your outcomes are fair and reproducible so that they may use your theories in their study as well. As a result, your scientific presentation must be concise, on-point, and explicitly focused on your research methodologies.

A basic foundation for producing a convincing scientific presentation is provided here.

1. Begin Your Presentation with a Research Question

Here’s how to easily begin a scientific presentation: Tell about your research question. On the first slide, simply summarize your thought process. Briefly describe the overarching goal of your research: Share your primary theory and indicate if you can prove or disprove it.

It may be tempting to cram a lot of information onto your first slide but don’t. Keep your presentation’s start brief in order to pique the audience’s curiosity and prepare the stage for the follow-up story.

2. Reveal Your Scientific Methods

Many audience members will be interested in how you got to your conclusions, whether you are giving a science poster presentation or a conference discussion. To avoid ambiguity, provide this information at the start of your presentation.

In a presentation, here’s how to structure your scientific methods:

Use bullet points instead of complete sentences. To list the methods, use diagrams and organized graphics.

When feasible, utilize images and iconography to illustrate metaphors.

Sort your methods into categories, such as measurable and non-quantifiable.

Finally, while creating visuals for your presentation, such as charts, graphs, pictures, and so on, consider yourself as a subject newbie.

Is the image conveying the most important information about the subject?

Does it aid in the breakdown of complicated ideas?

3. Highlight the Results to Your Audience

Obviously, the research findings will be your most valuable source of bragging rights. Do not, however, overburden your presentation with a lengthy description of your results and how revolutionary they may be for the community.

Instead of writing a wall of words, try this:

  • To demonstrate the facts in great detail, use graphs with huge axis values/numbers.
  • Prioritize formats that everyone is familiar with (odds ratios, Kaplan Meier curves)
  • Allow no more than five lines of simple text on each slide.

Overall, if the results slide becomes too crowded, it’s advisable to shift the data to a new one.

4. Don’t Forget To Mention The Limitations of the Studies

Objectivity is required by the scientific method. As a result, every researcher must indicate precisely what was omitted from their study. Remember that no piece of scientific study is genuinely universal and has limits.

However, if you do not declare them explicitly, people may struggle to draw the boundary and duplicate your results. If they fail to do so, they will doubt the feasibility of your study.

5. Conclude with an Unforgettable Takeaway

Every seasoned speaker will tell you that the stuff they hear first and last is the most memorable. During the day, many people will join more than one scientific presentation.

So, if you want your audience to remember your presentation, create a take-home message for the final slide. Consider your last slide text to be an elevator pitch – a brief statement that summarizes your findings.

Wrapping It Up

There is no shortage of study and scientific tools available today for testing and validating our hypotheses. However, unlike our forefathers, most scientists face greater scrutiny when presenting and explaining their discoveries to others.

That is why it is critical that your scientific presentation properly conveys the goal, direction, and thinking process underlying your study.

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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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