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Information and Library Science

Data Science Day

November 4, 2021 at 4:00pm – November 5, 2021 at 4:00pm EDT

Hinds Hall and Virtual (See event details)

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Data Science Day

You’re invited to Data Science Day, hosted by the School of Information Studies (iSchool).

This two-day event will cover a variety of topics in the data science field. Learn about the future of data science from the iSchool’s expert data science faculty. Get actionable career advice from our career staff, who know what it takes to get a data science job. Listen to a panel discussion from students studying advanced data science right now.

If you want to use data to discover patterns, inform decisions, and solve problems: join us!

This event will be available both in person and virtually. You may attend all events or just the ones of interest. Please register to attend.

Thursday, Nov. 4

Time & Location Session & Presenter
4–4:15pm

Room 347, Hinds Hall

 Welcome & Introduction
4:15–5pm

Room 347, Hinds Hall

 Exploring What is Data Science & Analytics

Presented by Jeff Saltz, Associate Professor & Program Director of the MS in Applied Data Science at the Syracuse University iSchool

This introductory talk, for those who are not sure what is data science and predictive analytics, provides an overview of the field and how it’s used in the real world.
5–5:30pm

Room 347, Hinds Hall

 What is Visual Analytics?

Presented by Jeff Hemsley, Associate Professor & Director of the Center for Computational & Data Science (CCDS) at the Syracuse University iSchool

In this talk, Professor Hemsley will discuss what we mean by visual analytics and how it used to find, and then present, the story that exists in a dataset.
5:30–6pm

Room 347, Hinds Hall

 Metadata & Analytics

Presented by Jian Qin, Professor & Program Director of the MS in Library and Information Science at the Syracuse University iSchool

Metadata analytics uses the metadata created for datasets or other information objects in digital repositories to study patterns, trends, structures, and linkages between entities such as authors, taxonomic lineage, disciplinary fields, publications, etc. that are involved in the creation of these datasets and information objects.
6–7pm. Break
7–7:30pm

Online via Zoom

 Learning Analytics

Presented by Megan Oakleaf, Associate Professor & Director of Online Student Engagement at the Syracuse University iSchool
7:30–8:15pm

Online via Zoom

 Graduate Student Panel

Students (both distance and on-campus) share their experiences learning data science at the iSchool.

Friday, Nov. 5

Time & Location Session & Presenter
10–10:15am Welcome & Introduction
10:15–11am

Online via Zoom

 The Use of Data Science to Better Address COVID-19

Presented by Thibaut Jombart, Associate Professor at the Imperial College London & WHO analytics team

Professor Jombart will discuss how data science directly informs public health decision-making. Specifically, discussing his work developing models that inform the response to COVID in the UK, as well as the response globally via the WHO.
11–11:35am

Room 347, Hinds Hall

 Applied Deep Learning – Examples in Industry

Presented by Daniel Acuña, Assistant Professor at the Syracuse University iSchool

Professor Acuna will present modern advances in deep learning technology with industry applications in transportation, health care, finance, and government.
11:35am–12:05pm

Online via Zoom

 Ethics in Data Science: Problems, Approaches, and Future

Presented by Niraj Sitaula, PhD Student at the Syracuse University iSchool

Niraj will present on job requirements and job titles related to the future of ethics in data science.
12:05–1pm Lunch break
1–1:35pm

Room 347, Hinds Hall

 Managing Risk in Data Science

Presented by Sucheta Lahiri, PhD Student at the Syracuse University iSchool

Sucheta will present on data science projects risks and success criteria, as well as how to integrate into a risk management framework for data science projects.
1:35–2:30pm

Online via Zoom

 Panel: Data Science in the Real World (Discussion with Adjunct Faculty)

Presented by Ying Lin, Jon Fox, and Norma (Palomino) Grubb, Adjunct Professors at the Syracuse University iSchool

iSchool part-time faculty discuss how they apply data science in their “day jobs.”
2:30–3pm

Room 347, Hinds Hall

 Data Science Job Market Update

Presented by Jeff Fouts, Assistant Director of Career Services at the Syracuse University iSchool

Jeff Fouts will present on the current and future state of the job market for data scientists. What the data shows for job placement and average salary.
3–3:15pm

Room 347, Hinds Hall

 Closing Remarks

This event was first published on September 21, 2021 and last updated on October 6, 2021.

Event Details