From Tedious Tasks to Transformative Insights: A Conversation with Anna Kiss PhD
Anna Kiss PhD, ABD, differs from the average researcher. Yes, she spends countless hours immersed in scientific literature, but her passion lies in using innovative tools to untangle the complex knots of information. As a research associate at HubScience, Kiss is a strong advocate for this revolutionary platform, and we sat down with her to understand why she believes it's a game-changer for researchers and institutes in all scientific fields.
The Birth of a Passion: Knowledge Synthesis
Before we delve into HubScience, tell us a little about your background. What sparked your interest in knowledge synthesis?
"My fascination with knowledge synthesis began during my doctoral studies at the Hungarian University of Agriculture and Life Sciences," Kiss explains. "I was captivated by the idea of exploring methods that could gather latent and fragmented bits of scientific knowledge and weave them together to create a comprehensive understanding of a topic. This approach promised to transform scattered information into cohesive insights, greatly enhancing our grasp of complex subjects."
That's where HubScience enters the picture! How did you first encounter this platform?
"It was serendipitous, actually," Kiss smiles. "Zsolt, the founder behind HubScience, presented the software to my department at the Library and Information Centre of the Hungarian Academy of Sciences, Department of Science Policy and Scientometrics. We were immediately captivated by the beautiful network diagrams that connected the scientific information across the articles and the overall transparency of the system. It felt like a breath of fresh air compared to the alternative services that keep the methods of literature processing hidden."
As highlighted in our interview with HubScience founder Zsolt Molnár PhD, literature review is a massive bottleneck in research, costing the global pharmaceutical industry billions annually. HubScience is at the forefront of tackling this challenge by cutting review times in half. Learn more about the birth of the project in The Untold Story of HubScience - An Interview with Zsolt Molnár PhD (Part 1).
Overcoming Initial Challenges: Mastering the AI-Powered Knowledge Synthesis Platform
Intriguing! Can you elaborate on the initial challenges you faced when using HubScience?
"As with any new tool, there was a definite learning curve," Kiss admits. "While HubScience is incredibly useful, fully leveraging its potential, particularly customizing the engine and precisely aligning technical terms with the specifics of your research topic, takes some practice. But just like learning a new language, the deeper insights you'll uncover, the more you refine your approach. I've found that the effort invested in mastering this tool pays off significantly. Not only does it streamline the literature review process, but it also opens up new avenues for literature processing that I hadn't previously considered. "
Consider a concrete example: you recently used HubScience in a research project. Can you tell us more about it?
“Absolutely. I collaborated with a colleague to conduct a scoping review to assess the role of the NOVA Food Classification System among complex sustainable diet indicators. HubScience played a vital role in information extraction for this project. By defining specific criteria and systematically reviewing existing research, I ensured our analysis was comprehensive and up-to-date. The knowledge graph provided a visual map of research connections, and the data and information extraction tools facilitated efficient information gathering. With HubScience, we were able to provide comprehensive insights into how NOVA is applied in sustainable nutrition research and offer supporting evidence for designing further sustainable nutrition research integrating NOVA with food and health policy interventions.”
Uncovering Hidden Insights with the AI-Powered Knowledge Synthesis Platform
HubScience's functionalities seem to have significantly impacted your research.
“Without a doubt. The vast amount of literature we needed to review would have been daunting without HubScience. Its ability to efficiently process and extract information allowed for a timely and comprehensive analysis.”
You highlighted HubScience's ability to handle both quantitative and qualitative data, which is quite impressive. Did this capability uncover any new insights or connections within the research that might have been missed using traditional methods?
“One of the major advantages of the HubScience software is its ability to extract quantitative data, including associated units of measurement and parameters. Additionally, HubScience shows other relevant professional content found in the immediate context of the quantitative data. This means it displays content where the searched information is very close to another term that is also important for the project. Since it recognizes and connects quantitative data with qualitative information, it provides a comprehensive understanding of the scientific texts. This capability enhances our data extraction and interpretation processes.”
The Future of HubScience: A Vision for Research Transformation
What excites you most about the next potential of HubScience? What is your image for the future?
“Imagine a place where HubScience seamlessly connects to open patent and scholarly databases, enabling literature search and processing on a single platform. Additionally, the ability to extract data from tables and figures directly from research papers is another promising feature. Furthermore, incorporating a feature that generates new hypotheses based on existing literature using the Literature-Based Discovery method would be a groundbreaking innovation. This would not only enhance our understanding of current research but also drive future scientific breakthroughs.”
You mentioned the importance of critical thinking alongside AI tools. How does HubScience empower researchers in this regard?
"Absolutely," Kiss emphasizes. "HubScience isn't here to replace researchers; it's here to augment our capabilities. The tool helps us gain a more comprehensive understanding of a subject area, perform targeted searches in the uploaded literature according to our research questions, and efficiently extract relevant data. However, the critical analysis and interpretation of that information – that's where the human expertise comes in. HubScience empowers researchers by giving us back the most valuable resource: time."
HubScience vs. the Competition: A Clear Advantage
In your experience, how does HubScience compare to other AI tools used for literature research?
"I've experimented with popular tools like Chat GPT, but they prove unreliable for scientific text analysis. While Chat GPT searches for information in the text based on statistical patterns, HubScience processes texts by analyzing the semantic relationships within the content, offering a more nuanced approach to understanding scientific literature." Kiss explains. "Other platforms can help summarize research texts, but they still require human oversight to ensure accuracy and avoid bias. HubScience, on the other hand, puts researchers in the driver's seat. By allowing researchers to customize the engine according to the specific subject area, it facilitates a more precise data extraction process, ensuring that the results align perfectly with our research questions.”
Kiss, it's clear you're a passionate advocate for HubScience. What message do you hope researchers and decision-makers will take away from your story?
"I want them to understand that HubScience is more than just a tool for literature processing," Kiss concludes. "It's a transformative platform with the potential to revolutionize scientific literature processing, across all disciplines. Imagine the possibilities – faster discovery cycles, more informed decision-making, and ultimately, a deeper understanding of the world around us. HubScience is here to empower us, researchers and decision-makers alike, to turn mountains of data into actionable insights."
HubScience: A Powerful Tool for Research Transformation
HubScience is an AI-Powered Knowledge Synthesis Platform designed to transform the way researchers conduct literature reviews and processing. It utilizes advanced algorithms to analyze vast amounts of scientific literature, extract relevant information, and generate insightful knowledge graphs.
HubScience allows researchers to:
Conduct domain-specific searches in publications related to a given topic area.
Extract key information and data from research papers
Visualize relationships between different studies
By streamlining these processes, HubScience empowers researchers to:
Reduce research time and effort
Gain a deeper understanding of complex research areas
Make more informed research decisions
Ultimately, accelerates scientific discovery
Ready to unlock the transformative power of HubScience for your research?
Together, let's turn data into groundbreaking discoveries. Be among the first to experience HubScience in action!
Sign up for our upcoming demo event and witness firsthand how HubScience can revolutionize your research workflow.
Register to secure your spot here:
ความคิดเห็น